599 Jobs found        |   Show:   First   1-100   101-200   201-300   301-400   401-500   Last

Department: Institute of Neurology - Department of Brain Repair & Rehabilitation
Duration: 1+ y        Workload: 40%
Duties: The post holder will be involved in clinical research projects, particularly involving data analysis for the outcome of surgery for spine tumours. Responsibilities will include data handling, statistical analysis, advice on study design, preparation of data analyses for publication, and provision of appropriate input to papers for publication and contributions to scientific meetings. The post holder is expected both to conduct statistical analyses on data generated by colleagues, and to generate data leading to presentations to scientific meetings and publications
Minimum Requirements: Applicants must have a first degree in statistics or a related field, a PhD in statistics or equivalent qualification, and previous experience of medical statistics; a sound knowledge of Stata software (Statacorp, Texas) for data analysis is also required

Deadline: June 12, 2015 | Published: May 24, 2015   05:00              

Department: Cancer Institute - Research Department of Pathology
Duration: 2+ y        Workload: Full Time
Duties: Our laboratory is involved in a large number of cancer genome sequencing projects in order to deliver a molecular classification of disease that will ultimately impact on stratified medicine and inform personalised patient care. This post is to undertake research and provide computational and analytical support for the group to help develop diagnostic panels using next generation sequencing technologies. The post holder will also conduct research by analysing targeted sequencing and whole genome sequencing data in order to correlate with phenotype and to predict clinical outcome
Minimum Requirements: The successful candidate will have a PhD in Bioinformatics/Computational Biology and a strong background in NGS-based genome, and transcriptome analysis and in particular cancer genome somatic variant calling. The post holder will be responsible to lead such analyses and develop the required pipelines for the group; The successful candidate must be able to demonstrate experience with evidence of high calibre research analysing patient sequencing data; ideally in the context of rare diseases or cancer
Preferred Requirements: Background in a quantitative discipline such as computer science, physics or mathematics

Deadline: June 5, 2015 | Published: May 24, 2015   05:00              

Department: DTU Environment; Urban Water Section
Duration: 3 y
Duties: The overall aim of the PhD is to develop a suite of surrogate models with varying complexity. These models should then be tested, compared, and employed for applications covering both planning and operation of water flows in urban storm water systems - The group employ both stochastic and deterministic models and focus on both planning and operation of urban drainage systems and the interactions between urban drainage systems and city planning in order to generate liveable cities, robust to climate change and other main drivers of changes of flood risk in cities
Minimum Requirements: Candidates should have a master's degree in engineering or a similar degree with an academic level equivalent to the master's degree in engineering

Deadline: June 15, 2015 | Published: May 24, 2015   05:00              

Department: School of Computing, Engineering and Mathematics
Workload: 100%
Duties: In this role you will contribute to the delivery of undergraduate degrees in mathematical sciences with a focus on one or more areas including mathematics, statistics and/or operational research. As the successful candidate, you will also be expected to contribute to mathematics/statistics support, teaching on other undergraduate degree programmes. There may be an opportunity to contribute to teaching on our new Masters degree in Data Analytics
Minimum Requirements: You will have a PhD or an appropriate portfolio of professional experience as well as the potential to develop quality research in an area of mathematical sciences that relates to or complements the current research within the school

Deadline: June 23, 2015 | Published: May 23, 2015   12:35              

Department: Mathematics and Statistics
Duration: until 30 April 2017        Workload: 100%
Duties: We seek to appoint a Postdoctoral Research Assistant to join Thames Valley Vision Project, a collaboration between Scottish and Southern Energy, the University of Reading, and many other commercial partners, based around modelling the uptake of low carbon technologies and understanding their impact on low voltage networks. The appointed Postdoctoral Research Assistant will work half of the time on TVV project further developing the existing long term individual load forecast engine under different low carbon technologies uptake scenarios, and half of the time will conduct independent research relevant to the interests of the CMOHB, using methods from network analysis, dynamical systems, time series analysis or similar
Minimum Requirements: PhD in Mathematics, Statistics, or related discipline and excellent computational skills

Deadline: June 25, 2015 | Published: May 23, 2015   12:35              

Department: Department of Epidemiology and Public Health (EPH)
Duties: The position is linked to an ERC advanced grant that is aiming to develop Bayesian models for very large, multivariate, non-Gaussian, geostatistical and temporal data arising from disparate sources to address epidemiological questions in the area of infectious diseases in Africa
Minimum Requirements: PhD degree in statistics, biostatistics or mathematics with strong research experience in Bayesian modelling, Markov chain Monte Carlo simulation methods, spatio-temporal modelling and/or stochastic epidemic modelling; strong programming skills in R, C++ and/or Fortran; ability to communicate effectively in spoken and written English

Published: May 23, 2015   05:05              

Department: Zentrale Einrichtung für Lehrerbildung
Duration: bis 30.09.2016        Workload: 50%
Duties: Studienberatung für Studieninteressierte und Studienanfängerinnen und -anfänger im 2-Fächer- Bachelor-Studiengang; Mitwirkung bei der Sicherstellung der Studierbarkeit im 2-Fächer-Bachelor-Studiengang Profil Lehramt; Einarbeitung in den aktuellen Stand von Instrumenten zur Ermittlung von professionsbezogenen und fachwissenschaftlichen Eignungsfragen für den Lehramtsberuf; Übertragung dieser Erkenntnisse auf das gymnasiale Lehramtsstudium mit den fachwissenschaftlichen Schwerpunkten im Bachelorstudium; Etablierung von Massnahmen des Qualitätsmanagement-Monitorings von Studienanfängern des Lehramtsbereichs, insbesondere der Verfolgung von Kohorten, Studiengangsverläufen und der Ermittlung von Gründen für Studienabbrüche
Minimum Requirements: Voraussetzung ist ein abgeschlossenes Hochschulstudium im Bereich Lehramt oder Bildungswissenschaften. Erfahrung in koordinativen Tätigkeiten und in der Lehrerbildung, eigenverantwortliches Arbeiten im Team, eine hohe Serviceorientierung und die Bereitschaft, sich in studiengangsbezogenes Controlling und Qualitätsmanagement einzuarbeiten, werden ebenfalls vorausgesetzt

Deadline: June 12, 2015 | Published: May 23, 2015   05:05              

Department: Interdisciplinary Institute of Data Science
Duration: 2 y
Duties: The Social Network Analysis Research (SoNAR) Center has an immediate opening for a post-doctoral researcher in a two-year research project on the development and implementation of relational event models for the analysis of bipartite processes. The models will be tested in the context of data on organizational problem-solving activities
Minimum Requirements: Successful candidates will have recently completed their PhD in social network analysis, network science, quantitative social science (including but not limited to economics), management or in statistics and related fields with an emphasis on data analysis. Teaching experience is not necessary for this post. Applicants should be able to demonstrate: Strong quantitative skills; Strong scientific writing and communication skills in English; A track record of publications consistent with their academic experience and ambitions
Preferred Requirements: An interest in developing teaching material and support teaching activities will be considered an advantage. Other conditions being equal, candidates with knowledge of at least one of the Swiss national languages will be favored

Published: May 23, 2015   05:01              

Department: Institut für Didaktik der Mathematik und Physik
Duration: 1+ y        Workload: 50%
Duties: Wissenschaftliche Tätigkeit im Modellprojekt "Inklusive Schulpraxis" zur Stärkung der Unterrichts- und Förderpraxis in Mathematik für das Lehramt Sonderpädagogik. Im Aufgabenbereich Unterrichtspraxis soll die Fachpraktikumsbetreuuung intensiviert und das Vorbereitungs- sowie das Begleitseminar weiterentwickelt und durchgeführt werden
Minimum Requirements: Abgeschlossenes Studium der Mathematik (Staatsexamen/Diplom/Master). Erwünscht sind praktische Vorerfahrungen im Bereich der Lehramtsausbildung und im Mathematikunterricht

Deadline: June 15, 2015 | Published: May 22, 2015   12:37              

Department: College of Life Sciences
Workload: 100%
Duties: We are looking for a highly motivated Computational Medicinal Chemist to contribute to hit validation, hits to lead and lead optimisation projects, with the goal of identifying leads demonstrating appropriate pharmaceutical properties and efficacy in disease models. Use computational methods to assess the druggability of potential targets. Analyse high-throughput screening results to identify potential lead series Design focused screening libraries. Design arrays with appropriate physicochemical properties to follow up hits and leads. Use protein structure and/or ligand information to generate binding hypothesis, pharmacophore models and design potential drug candidates
Minimum Requirements: PhD in computational or medicinal chemistry or in a related discipline. Several years’ experience in the area of molecular modelling and computational chemistry for drug discovery in Biotech, Pharma or equivalent organisations
Preferred Requirements: Expertise in structure based drug design and homology modelling. ·Experience of bioinformatics and cheminformatics. ·Experience leading hit and lead identification drug discovery projects. ·Understanding and appreciation of ADMET (absorption, distribution, metabolism, excretion, and toxicology), necessary for the lead optimisation processes is an advantage. ·Experience of informatics approaches to target identification or toxicity assessment. ·Experience using Pipeline Pilot would be preferred

Deadline: June 7, 2015 | Published: May 22, 2015   12:31              

Department: School of Agriculture, Food & Rural Development
Duration: 3 y        Workload: 100%
Duties: The post holder will be part of an EU-funded consortium that aims to develop sustainable livestock systems for non- ruminant animals. The post holder is required to develop mechanistic simulation models that predict and assess biological processes, including feed utilisation by different pig and poultry genotypes, and their consequences on environmental impact
Minimum Requirements: You will have a PhD in a relevant area of science (biological, ecological or environmental science or mathematics applied to biology), and a clear understanding of modelling processes and development of simulation models. You should also have experience with modelling variation/uncertainty in biological or environmental processes. The role will require a good level of analytical skills and the ability to communicate complex information clearly, both orally and through the written word

Deadline: June 17, 2015 | Published: May 22, 2015   12:30              

Department: Imperial College Business School
Duration: 2 y        Workload: 100%
Duties: The Management Science & Operations group at Imperial College Business School is seeking applications for a Research Associate position in the fields of Business Analytics and Operations Research. The successful candidate is expected to conduct high quality research with the Management Science & Operations group at Imperial College, as well as contribute to the newly established KPMG Centre for Advanced Business Analytics
Minimum Requirements: Applicants must hold a PhD in Operations Research, Statistics, Computer Science, Applied Mathematics or a related field and have strong mathematical and programming skills

Deadline: June 22, 2015 | Published: May 22, 2015   12:27              

Workload: 100%
Duties: In this thesis a new mathematical model will be developed for a PV system which can be used in assessing the reliability of electric distribution grids with a high share of PV systems. Moreover this model has to meet the simulation requirements of electricity grids with different shares of PV systems and different operation states and different time resolutions. Surveying the state-of-the-art and existing research activities. Defining a use case. Identify the most suitable solution for the given use-case. Creating a different versions of the model. Validation of different versions of the model
Minimum Requirements: Attending a technical master degree program in Electrical Engineering, Computer Science, Mathematics or similar. Good statistical background. Knowledge with Python, R, Java and Matlab. Good English skills, working language are both English and German. Experience with simulation methods (e.g Monte Carlo simulation, PowerFactory)

Published: May 22, 2015   12:26              

Department: Institute of Social and Preventive Medicine
Duration: 3 y        Workload: 100%
Duties: The candidate will: Perform quantitative analysis using population-based longitudinal data involving multiple European cohorts; Analyse large, multi-dimensional datasets of omics data (genetic, epigenetic and transciptomics); Serve as an expert and advisor in statistical and epidemiological methods within the team and provide statistical and technical support with respect to use and selection of appropriate statistical modeling approaches; Disseminate results through research articles and presentations; Perform other duties as assigned
Minimum Requirements: Master or PhD in Statistics, Statistical Genetics, Medical Statistics, Biostatistics, Mathematics, or equivalent; In-depth understanding of statistical concepts; Strong quantitative analysis skills; Experience in managing and analysing longitudinal and large datasets; Experience of using standard statistical software, including Stata and/or R; Fluency in oral and written English
Preferred Requirements: Working knowledge of genetics, preferably in relation to chronic disease epidemiology; Experience in genetic and biomarkers analysis; Fluency in French

Published: May 22, 2015   10:52              

Workload: 100%
Duties: To provide high quality, cost effective actuarial services to customers as part of an actuarial team so as to contribute to the achievement of team objectives and to gain experience of actuarial functions. Will provide basic actuarial services to department with outputs supervised by an experienced actuary. Demonstrate increasing knowledge of relevant actuarial disciplines and procedures to be able to provide first class service to external and internal customers. Provide input into the development of new methods in the provision of actuarial analyses to continually meet user requirements. Develop & maintain actuarial systems. Undertake ad hoc actuarial investigations as required
Minimum Requirements: May be working towards Actuarial qualifications. Part qualified actuary or similar business experience. Good knowledge of actuarial professional guidance. Market, risk and business awareness. Knowledge of products and services. Knowledge of Insurance and Business

Published: May 22, 2015   10:52              

Workload: 100%
Duties: The project's goal is to investigate to what extent markets can be shaped by recommendation systems. The ideal candidate should have a good mix of knowledge in algorithms and systems. Especially valuable is an expertise in high performance programming, social networks, algorithmic game theory, ranking mechanisms, data mining and p2p networks
Minimum Requirements: Early stage researcher or 0-4 yrs (Post graduate)

Deadline: June 19, 2015 | Published: May 22, 2015   05:06              

Duration: 6 m        Workload: 100%
Duties: The research will be focused on study of discrete random processes with interactions, especially path-dependent and reinforced random processes, as well as other interacting random systems
Minimum Requirements: The qualifications for academic positions are given in Chapter 4, Section 3-4 of the Higher Education Ordinance. The candidate is supposed to have (or obtain within 3 months after the closing date) a PhD in Mathematics/Probability theory, and possess a good knowledge of probability theory and stochastic processes

Deadline: June 12, 2015 | Published: May 22, 2015   05:05              

Workload: 100%
Duties: The focus of the Laboratory of Angiogenesis and Neurovascular Link is to unravel the molecular mechanisms of angiogenesis (blood vessel formation) in health and disease in order to identify novel therapeutic applications. S/he will be part of a bio-informatics team and responsible for developing and enhancing state-of-the-art metabolic profiling (13C metabolomics, integrative multi-omics analysis, etc) in a highly recognized scientific environment. You will develop and apply informatics tools that allow researchers to understand better the metabolic changes occurring during angiogenesis in health and disease
Minimum Requirements: You have obtained a Masters (or PhD) diploma in computer science, bioinformatics or equivalent; You have organizational and management skills, and you can inspire and motivate a team
Preferred Requirements: Experience with multivariate statistics, Bayesian statistics, data analysis, machine learning, data visualization and biochemistry are an important asset, especially at postdoc level; Knowledge of Linux and SQL databases and basic system administration skills are considered a plus

Published: May 22, 2015   05:01              

Duration: 2 y        Workload: 100%
Duties: The principal goal of this mission is to transfer in a collaborative plateform designed and developped by several Inria teams and their partners (IPP, Garching Germany and IRFM - CEA Cadarache) some software developments already realized in the Castor team. These developments concern principally a new finite element method on non-structured simplicial mesh in the geometry of a torus based on the C1 continuity of the elements. The ultimate goal of the mission will be to realize a demonstrator implementing this method for a reduced MHD system in the complex geometry of today experimental fusion reactors and in particular for the ITER reactor currently being built in Cadarache
Minimum Requirements: To be an engineering graduate or having equivalent qualification. Software development applied to scientific computing High performance computing Plasma physics Magnetohydrodynamics (MHD) finite element method good writing and speaking english skills

Published: May 22, 2015   05:01              

Duration: 2 y        Workload: 100%
Duties: The mission aims at the establishment of the foundations of an evolutive software suite dedicated to the numerical study of wave/matter interaction on the nanoscale. In a long term perspective, two application topics are covered: computational nanophotonics (the wave is the light i.e. an electromagnetic wave) and computational nanophononics (the wave is an acoustic or elastic wave). As part of this mission, the possibilities of this software suite will be demonstrated by focusing on computational nanophotonics
Minimum Requirements: To be at least an engineering graduate or having equivalent qualification (PhD Diploma accepted) and to have from 2 to 7 years software development experience

Published: May 22, 2015   05:01              

Department: Public Health and Primary Care
Duration: 1 + y        Workload: 100%
Duties: This PhD project aims at the construction of interpretable models to analyse gene expression data. Gene expression datasets are structured as a matrix of genes and patients and the matrix values represent how much a gene is 'switched on' in a patient sample. Often, background information on the genes and/or patients is available, and in this project we will incorporate this information in order to build accurate prediction or clustering models. The developed models will be as general as possible, so that they can include other dimensions, such as time or tissue, and so that they can be applied to other applications with similar data structures
Minimum Requirements: You have a master degree in computer science, informatics, statistics, bioinformatics, computational biology, or equivalent, with excellent ('honors'-level) grades. You have followed courses related to data mining or machine learning, and show a significant enthusiasm for, and knowledge of, this domain. You are an experienced programmer in Java and Perl or Python. You are interested in bioinformatics or biomedical research; you are motivated, curious and creative
Preferred Requirements: Familiarity with other languages, such as R, Matlab or C will be considered an asset

Deadline: July 5, 2015 | Published: May 22, 2015   05:00              

Duration: 4 y        Workload: 100%
Duties: The research project, in short called “Beyond flatland” project, is aimed at getting a better theoretical and practical understanding of how mathematics-related higher-order thinking develops and can be fostered in primary school students (with the focus on fifth-grade students). The part-project on probability investigates how emergent understanding of probability develops and how probability-related higher-order thinking skills can be fostered in primary school students. The focus will be on understanding sample space. In a lesson series containing probability tasks based on variation theory students are prompted to recognize that it is crucial to take into account all thinkable outcomes of a probabilistic event
Minimum Requirements: The candidate should be a highly motivated, creative and enthusiastic researcher, holding a Master’s degree in one of the social or behavioural sciences, or in mathematics or one of the natural sciences combined with a teacher qualification. Excellent knowledge of research designs and methods (both qualitative and quantitative) and statistical skills related to educational research is essential
Preferred Requirements: Prior experience in scientific educational research is strongly in the candidate’s favor. Having completed a Research Master is an advantage. Knowledge about the school mathematics curriculum or experience with mathematics teaching is recommendable

Deadline: June 8, 2015 | Published: May 22, 2015   05:00              

Department: Mathematics
Workload: 100%
Duties: You will contribute to teaching on undergraduate and MSc programmes in Actuarial Science, both campus-based and distance learning
Minimum Requirements: You should have an excellent research record in an area of mathematics or statistics related to Actuarial Science and consistent with the Department’s existing research strengths for Lecturer, or extensive professional experience in the actuarial industry for Teaching Lecturer

Deadline: June 16, 2015 | Published: May 22, 2015   05:00              

Department: Centre of Intelligent Data Solutions
Duration: 2 y        Workload: 100%
Duties: This post will involve close working with academic researchers and industrial engineers in teams who will be developing and applying concepts of statistical prediction, to be used in future prototype products and services. Using machine-learning techniques to post-process data to obtain smart decisions, this will inform operators of energy usage and failure prediction. The candidate would probably come from an Operational Research environment, logistics and spares allocation, and be interested and perhaps capable of integrating uncertainty into a decision making model
Minimum Requirements: The successful candidate must be educated to degree level in the area of electrical/mechanical engineering, computer science or applied Operational Research mathematics. The candidate will have a combination of the following proficiencies to demonstrate their suitability for the role: · Practical experience of intelligent and autonomous decision making algorithms, · Practical experience of the use of Artificial Intelligence and statistical decision making, · A track record of research papers with journal publications, · Skilled with developing concepts using high level computer languages and data base programing
Preferred Requirements: A PhD would be preferred

Deadline: June 21, 2015 | Published: May 22, 2015   05:00              

Department: Faculty of Creative & Cultural Industries
Duration: 18 m        Workload: 100%
Duties: This post will involve close working with academic researchers and industrial engineers in teams who will be developing and applying concepts of statistical prediction, to be used in future prototype products and services. Handling large volumes of data using artificial intelligence techniques to extract important features and classification algorithms to evaluate engine condition automatically with very little human interaction. Once completed this autonomous system will operate with extensive use of prediction techniques rather than employing a large numbers of sensors
Minimum Requirements: The successful candidate must be educated to degree level in the area of electrical/mechanical engineering, applied physics, computer science or applied mathematics. The candidate will have a combination of the following proficiencies to demonstrate their suitability for the role. · Practical experience of the use of Artificial Intelligence and statistical prediction techniques. · Real–time data handling skills using techniques to retrieve and cluster raw data. · A track record of research journal publications. · Skilled with developing concepts using Matlab or any high level language. · A functional understanding of electro-mechanical systems
Preferred Requirements: A PhD would be preferred

Deadline: June 21, 2015 | Published: May 21, 2015   13:39              

Department: Mechanical Engineering and Mathematical Sciences
Duties: Teaching at undergraduate and postgraduate levels; pursuing research leading to high quality publications; seeking external funding for research; supervising higher degree students; seeking to collaborate on learning and teaching development and contributing to curriculum development. Training in teaching methods is provided for those without relevant experience
Minimum Requirements: A good first degree and post-graduate degree in mathematics, engineering or related discipline; recent industry or equivalent academic experience; the potential or track record of publishing in high quality refereed journals; excellent communication skills

Deadline: June 26, 2015 | Published: May 21, 2015   13:35              

Department: Faculty of Creative & Cultural Industries
Duration: 1 y        Workload: 100%
Duties: The applicant should be interested in applying Artificial Intelligence techniques to real-world data, a mixture of industrial and academic challenges are awaiting the successful candidate. The role will be dual purpose half the duties of the job will be analysing real time data from the food and maritime industry with any unusual event being reported back to the companies. This will combine with a more in-depth research activity to further develop the science of data analysis using predictive techniques to reduce sensor numbers on future diagnostic systems
Minimum Requirements: The successful candidate must be educated to degree level in the area of electrical/mechanical engineering, computer science or applied mathematics. The candidate will have a combination of the following proficiencies to demonstrate their suitability for the role. Mathematical techniques for handling raw data; A track record of research articles and publications; Skilled with developing programs using Matlab or any high level language; Practical experience and understanding of electro-mechanical systems
Preferred Requirements: The in-depth research activity will lead to journal publications and a PhD qualification if the candidate desired

Deadline: June 21, 2015 | Published: May 21, 2015   13:34              

Department: Swedish Cement and Concrete Research Institute (CBI)
Duration: 3+2 y        Workload: 100%
Duties: We are looking for an industrial Ph.D. student who is interested to develop a reliable model to assess the structural effects of reinforcement corrosion and to evaluate the remaining service-life of corroded bridges. The specific objectives of the project are: (1) to develop and validate a model intended for engineering practice for structural assessment of corroded reinforced concrete bridges, (2) to incorporate the effect of uncertainties into the model, thus enabling reliability-based structural assessment and calibrate appropriate factors for the deterministic model to be used in a semi-probabilistic design format, and (3) to demonstrate the use of the models through a case study
Minimum Requirements: The successful applicant has a good knowledge of structural engineering and nonlinear finite element analysis, and a deep interest in modelling and computer simulation. A suitable background is a Master of Science (Swedish: civilingenjör) in civil or mechanical engineering, or an equivalent degree. You must be able to communicate your scientific results in English

Deadline: June 5, 2015 | Published: May 21, 2015   10:01              

Department: Chair for Agricultural Production and Resource Economics
Workload: 100%
Duties: Actively engage in a research project involving other research institutes and stakeholders, be interested in agriculture, agribusiness and agricultural economics, have experience in forecasting tools and statistical projection, integrate in a young research team and interact with researchers at national and international level (possibility for a research stay abroad), prepare and contribute to peer-reviewed articles in international journals
Minimum Requirements: Applicants should hold a Phd in applied statistics, econometrics, empirical economics or related disciplines. Candidates should be effective team players and have an interest in teaching assistance

Published: May 21, 2015   05:01              

Department: Core Facility
Workload: 100%
Duties: The daily work includes establishment of and follow up on bio-statistical analyses targeting biological data (genomics, proteomics, etc). You will also provide consultation support to our customers in running fee-for service projects. Thus, you need to be, or quickly become, familiar with new software and, when needed, to write your own program code. Validation of commercial and open source software and teaching researchers on how to use such tools will be another part of your work
Minimum Requirements: You must have a licentiate exam in Mathematical Statistics or equivalent education. You must have a documented experience in SNP analysis (GWAS, linkage analysis and SNP imputations) as well as Rare variants analysis (Sequence kernel association and Burden analysis). You must be experienced in UNIX/Linux as well as in any established scripting language (perl, python, etc). Knowledge of R/Matlab is also required. You should be familiar with database management and data mining. You should be familiar with parallel programming and use of computer clusters
Preferred Requirements: Previous experience working in multidisciplinary environments and pedagogical skills are desirable

Deadline: June 8, 2015 | Published: May 21, 2015   05:01              

Duration: 4 y        Workload: 100%
Duties: We are looking for a postdoc in computational biology with experience in analysis of massively parallel sequencing data, to spearhead projects in cancer genomics. Example projects include: 1) Characterizing the landscape of tumour suppressors across primary tumours using approaches centred on copy number analysis. 2) Molecular archaeology of cancer: gaining insight into tumour evolution by mining whole genome sequencing data. 3) Developing methods to deconvolute expression in tumour and admixed normal cells from RNA sequencing data
Minimum Requirements: Candidates must have a PhD in computational biology or a related field, and have a solid theoretical background in bioinformatics (Dirichlet processes, HMMs, etc) as well as thorough insight in biology, evolution, molecular genetics and genomics. Excellent knowledge of a programming language is expected (R/BioConductor, Perl, Python, etc), as well as experience of handling massively parallel sequencing data (using or developing tools for sequence alignment, variant calling, copy number analysis, etc). Experience in the field of cancer genomics is considered an advantage. Applicants must have a proven publication record
Preferred Requirements: Experience in the field of cancer genomics is considered an advantage

Deadline: July 17, 2015 | Published: May 21, 2015   05:01              

Department: Signals and Systems
Duration: 5 y        Workload: 100%
Duties: The research project (VIRTCOM2) involves a large number of motivated partners that make great investments in order to develop a new workflow for production preparation. The workflow involves two parallel activities. The first is to include the specification of reusable logic, including specification of safety and restart requirements. The second is to utilise the specified logic in order to perform testing, verification, optimization and restart functionality in early preparation stages. Your major responsibility as PhD student is to pursue your own doctoral studies. The major part will be spent on graduate studies out of which 75% is research and approximately 25% graduate courses
Minimum Requirements: To qualify as a PhD student, you must have a master's level degree corresponding to at least 240 higher education credits in a relevant field, including at least one course in basic control. Strong background in control, computer science, and mathematics is also meriting

Deadline: August 23, 2015 | Published: May 21, 2015   05:01              

Department: School of Electronic Engineering & Computer Science
Duration: 6 m        Workload: 100%
Duties: The successful candidate will need to design a threat classification method for mitigating malicious, natural and accidental faults in smart grid networks by using machine learnings or statistical analysis methods. The successful candidate is also expected to contribute the design and implementation of software tools that help city planners and distribution system operators to rank infrastructure criticality level and guide the planning/deployment of smart grid functions needed to optimize power availability for critical infrastructure
Minimum Requirements: Excellent programming skills in Matlab and C++ or Java with software engineering knowledge; good knowledge in applying machine learning or statistical analysis methods for threat analysis on the availability of grid islands or microgrids during outage. A proven track record in conducting high quality research (as evidenced by publications in peer reviewed journals) and in-depth knowledge of the research field are highly desirable. Significant theoretical knowledge and practical ability in using machine learnings or statistical analysis methods is essential. Candidates with a PhD degree (or having submitted his/her thesis) in an appropriate engineering discipline such as electrical and electronic engineering or computer science/engineering with a good track record of publications in the relevant areas are also encouraged to apply

Deadline: June 18, 2015 | Published: May 21, 2015   05:01              

Department: Infrastructure, Geomatics & Architecture
Workload: 100%
Duties: The Coastal Dynamics and Engineering Group is a world leading research group in theoretical and numerical coastal morpho-dynamics modelling and design of coastal defence structures. Multi Event Modelling of Risk and Recovery (FloodMEMORY) project involves several research institutions across Great Britain and it will look at the most critical flood scenarios caused by sequences or clusters of extreme weather events striking vulnerable systems of flood defences, urban areas, communities and businesses. The long-term aim is to provide the scientific knowledge to enhance flood resilience and allocate resources for protection and recovery more effectively. Within the work package on coastal flood modelling, our group will investigate the response of beaches protected by coastal structures to sequences of extreme events
Minimum Requirements: Candidates must hold (or about to obtain) a PhD (or equivalent) in the areas of coastal hydro- and morpho-dynamics. Experience in scientific programming, numerical modelling using XBeach in the context of engineered beaches and simulation of sequences of coastal storms, data analysis and in disseminating their results to the scientific community, is essential

Deadline: June 22, 2015 | Published: May 21, 2015   05:00              

Department: Department of Environmental Engineering
Duration: 3 y
Duties: The project aims to incorporate remote sensing information to improve the accuracy of spatially distributed land surface models (LSM) using data from sensors on board lightweight UAVs. The PhD student will produce scientific datasets from multispectral and thermal images acquired from a new flexible and innovative prototype of UAV and will use them to inform land surface models via assimilation schemes or direct forcing; The PhD student will produce very high resolution maps of surface energy fluxes, evapotranspiration, soil moisture and carbon fluxes validating them with field estimates at eddy covariance sites in Denmark and abroad; The PhD student will apply land surface models based on the surface energy balance coupled to hydrological and photosynthesis models
Minimum Requirements: The successful candidate should have a background in Earth Sciences, Engineering, Environmental modelling or Remote sensing

Deadline: June 18, 2015 | Published: May 21, 2015   05:00              

Department: Department of Informatics
Duties: We are looking for a scholar of distinction with a high international reputation in Big Data/Data Analysis/Machine Learning. The successful candidate will have demonstrated an internationally recognized research program as well as outstanding academic records and is expected to perform cutting-edge research in Big Data/Data Analysis/Machine Learning. A proven ability to attract competitive national and international funding is expected. We are inviting applications for this position in the domain of machine learning and data-mining on Big Data. The area of work should be on parallel, distributed, and on-line techniques for scaling up data-mining and machine-learning algorithms
Minimum Requirements: The candidate should have strong expertise in database technology, machine learning and data mining, as well as in adapting classical sequential algorithms into modern architectures for parallel computation. The scaling techniques should rely on modern infrastructure and hardware developments, such as MapReduce (Hadoop), in-memory computational databases, many-core parallelism, GPU parallelization, heterogeneous hardware utilization, etc. We also welcome knowledge in Big Data use cases such as real-time awareness of technical systems based on ubiquitous sensor monitoring, online advertising, recommender systems, scientific data exploration, text, graph, and web mining. Topics of interest are for example real-time forecasting, the monitoring and control of complex (technical) systems based on massive streaming data, fraud detection and security, exploration of scientific observational and simulation data, and the analysis of social networks

Deadline: July 26, 2015 | Published: May 20, 2015   14:43              

Department: Abteilung Lebensversicherung
Duties: Sie sind für die aktuarielle Entwicklung ertragsorientierter Produkte unter Berücksichtigung regulatorischer Neuerungen, insbesondere Solvency II, verantwortlich. Sie entwickeln, analysieren und bewerten Produktideen, kalkulieren neue Produkte und beurteilen deren Profitabilität. Sie kommunizieren mit der Aufsichtsbehörde Sie erstellen Fachvorgaben und testen die systemtechnische Umsetzung
Minimum Requirements: ein abgeschlossenes Studium der Mathematik, Wirtschaftsmathematik oder eines vergleichbaren Studienganges und idealerweise eine abgeschlossene Ausbildung zum Aktuar (DAV). Sie verfügen über Berufserfahrung in der Tarif- und Produktentwicklung im Lebensversicherungsbereich sowie Kenntnisse moderner aktuarieller Methoden, insbesondere im Profit-Test und/oder Erfahrung mit stochastischen Simulationsmethoden im Solvency II-Kontext. Excel VBA ist Ihnen nicht fremd und eine hohe Leistungsmotivation, Begeisterungsfähigkeit und Freude an der Lösungsfindung im Team runden Ihr Profil ab

Published: May 20, 2015   14:05              

Department: Statistisches Landesamt Baden-Württemberg
Workload: 100%
Duties: Das Arbeitsgebiet umfasst Grundsatzfragen bei Planung, Einsatz und Weiterentwicklung der komplexen IT-Infrastruktur sowie der Modernisierung der Geschäftsprozesse. Weitere Aufgabenschwerpunkte sind die Betreuung der IT-technischen Abwicklung der Wahlen, das Management der Softwarelizenzen, Verwaltung und Beschaffung von Hardware sowie zunehmend auch Fragen der IT-Sicherheit nach BSI. Ausserdem sind neben der fachlichen Koordination der Arbeitsabläufe in den verschiedenen Teilbereichen der dezentralen Systemtechnik auch Führungsaufgaben für ein Team von ca. zehn Personen zu übernehmen
Minimum Requirements: Für den Aufgabenbereich “Dezentrale Systemtechnik und lokale Netze“ suchen wir einen/eine Mitarbeiter/-in mit einem Hochschulabschluss naturwissenschaftlicher Fachrichtung, z. B. Informatik, Mathematik oder Physik (Diplom-, Magister oder Masterabschluss). Kenntnisse der Microsoft Systemarchitektur einschliesslich der Netze und Domänenstruktur sind erwünscht. Für das Aufgabengebiet sind Verantwortungsbewusstsein, Eigeninitiative, Flexibilität und Be-lastbarkeit in besonderem Masse erforderlich. Organisatorisches Geschick sowie eine hohe Sozialkompetenz zur Wahrnehmung der Führungsaufgaben werden erwartet

Deadline: June 15, 2015 | Published: May 20, 2015   14:01              

Department: Fraunhofer-Institut für Kurzzeitdynamik
Duration: 2+ y
Duties: Mitarbeit an und Mitgestaltung von aktuellen Forschungsprojekten zur Wirkung intensiver Laserstrahlung auf Materie. Nutzung moderner Softwaretools zur Simulation komplexer fluiddynamischer Vorgänge. Entwicklung von Simulationsansätzen in einem Team von Wissenschaftlerinnen und Wissenschaftlern. Chance zur Profilierung als Experte in der wissenschaftlichen Community. Sukzessive Übernahme von Projektleitungsverantwortung. Zusammenarbeit mit Industriekunden und öffentlichen Auftraggebern im In- und Ausland. Mitarbeit an der Beantragung neuer Forschungsprojekte auf der Grundlage neuer Ideen für Lösungswege. Bei entsprechender Eignung ist die Möglichkeit zur Promotion gegeben
Minimum Requirements: Universitärer Studienabschluss mit Vertiefungsrichtung Physik, Mathematik oder Informatik. Fachliche Exzellenz, nachgewiesen durch überdurchschnittliche Studienleistungen oder Veröffentlichungen. Vorkenntnisse in oder grosses Interesse an der numerischen Simulation und Modellbildung im Bereich der Laser-Materie-Wechselwirkung, fluiddynamischer Prozesse oder Finite- Elemente-Simulationen schnell ablaufender Prozesse. Kenntnisse in mindestens einer höheren Programmiersprache (z. B. C, C++ oder Fortan). Know-how, wissenschaftlich-theoretisches Grundwissen in Anwendungslösungen zu überführen. Interesse an einer fachwissenschaftlichen Profilierung in einem internationalen Umfeld

Published: May 20, 2015   14:00              

Department: Generali Versicherung AG
Duties: Mitarbeit bei der Produktentwicklung, Verkaufsunterstützung und bei IT-Projekten zur Bestandsführung und zu Themen des Risikomanagements. Erstellung von Analysen. Erstellung und Weiterentwicklung von Modellen und Abbildung in Berechnungsprogrammen. Unterstützung der Fachbereiche in aktuariellen Belangen. Gestaltung von verkaufsorientierten Lösungen
Minimum Requirements: Abgeschlossenes Studium der Versicherungsmathematik. Soziale Kompetenz und Kommunikationsstärke. Kundenorientierung und Teamfähigkeit. Gute Kenntnisse in MS Office und im Umgang mit statistischen Applikationen. Sehr gute Englischkenntnisse

Published: May 20, 2015   13:58              

Department: Fachmanagement-Sach
Duties: Mitarbeit im Planungsprozess und bei der Erstellung von Quartals- und Jahresabschlüssen (Lokal und IFRS). Mitarbeit an der Solvenzkapitalrechnung unter Solvency II. Selbstständige Erstellung aktuarieller Analysen in den Bereichen Produkte und Portfolio. Aufbereitung und Visualisierung der Ergebnisse. Auswertungen und Simulationen von Rückversicherungsszenarien. Koordination & Erstellung von Verbandsstatistiken. Implementierung und Weiterentwicklung von versicherungsmathematischen Methoden
Minimum Requirements: Versicherungs- oder finanzmathematische Ausbildung. Einschlägige Berufserfahrung von Vorteil, aber nicht Bedingung. Kenntnisse verschiedener Programmierersprachen und Programmieranwendungen (SAS und VBA) von Vorteil. Grundlegende Versicherungskenntnisse wünschenswert. Selbstständige, konstruktive Arbeitsweise sowie Flexibilität. Teamfähigkeit, Einsatz- bzw. Weiterbildungsbereitschaft

Published: May 20, 2015   13:57              

Department: raunhofer-Institut für Kurzzeitdynamik
Duration: 2+ y
Duties: Mitarbeit an und Mitgestaltung von aktuellen Forschungsprojekten zur Wirkung intensiver Laserstrahlung auf Materie. Nutzung moderner Softwaretools zur Simulation komplexer fluiddynamischer Vorgänge. Entwicklung von Simulationsansätzen in einem Team von Wissenschaftlerinnen und Wissenschaftlern. Chance zur Profilierung als Experte in der wissenschaftlichen Community. Sukzessive Übernahme von Projektleitungsverantwortung. Zusammenarbeit mit Industriekunden und öffentlichen Auftraggebern im In- und Ausland. Mitarbeit an der Beantragung neuer Forschungsprojekte auf der Grundlage neuer Ideen für Lösungswege.. Bei entsprechender Eignung ist die Möglichkeit zur Promotion gegeben
Minimum Requirements: Universitärer Studienabschluss in angewandter Physik, technischer Mathematik, theoretischer Mechanik, angewandter Informatik oder einer angrenzenden ingenieurtechnischen Fachrichtung. Fachliche Exzellenz, nachgewiesen durch überdurchschnittliche Studienleistungen oder Veröffentlichungen. Vorkenntnisse in oder grosses Interesse an der numerischen Simulation und Modellbildung im Bereich der Laser-Materie-Wechselwirkung, fluiddynamischer Prozesse oder Finite- Elemente-Simulationen schnell ablaufender Prozesse. Kenntnisse in mindestens einer höheren Programmiersprache (z. B. C, C++ oder Fortan). Know-how, wissenschaftlich-theoretisches Grundwissen in Anwendungslösungen zu überführen. Selbstständige Arbeitsweise und Fähigkeit zur Teamarbeit mit Freude am Dialog über die besten Lösungsmöglichkeiten. Hohes Mass an Eigeninitiative und Freude, eigene Kompetenzen in ein Team einzubringen. Fähigkeit zur zielgerichteten Aufbereitung und Präsentation von Arbeitsergebnissen in Berichte...

Published: May 20, 2015   13:23              

Department: Institut für Solarforschung; Plataforma Solar de Almería (PSA)
Duration: 6-12 m
Duties: Folgende Aufgabenbereiche sind vorgesehen: Erstellung meteorologischer Referenzdatensätze für die PSA; Untersuchung von Rotating Shadowband Irradiometers (RSI); Nowcasting der solaren Direktstrahlung. Der Schwerpunkt wird hierbei je nach aktuellem Bedarf und Interesse individuell festgelegt
Minimum Requirements: Studienrichtung Natur- oder Ingenieurwissenschaften, Informatik, Mathematik, o.ä. Fortgeschrittene Kenntnisse in Matlab oder anderen Programmiersprachen. Sehr gute analytische Fähigkeiten. Gute Kenntnisse in Messdatenerfassung und -auswertung. Freude am praktischen Arbeiten sowie experimentelles Geschick. Gute mündliche und schriftliche Ausdrucksfähigkeit in deutscher und englischer Sprache. Spanischkenntnisse von Vorteil

Published: May 20, 2015   13:21              

Department: Abteilung Leben
Duties: Sie entwickeln, warten und optimieren das fachliche Modell für Prognoseberechnungen in MoSes. Sie arbeiten in den zentralen Projekten ALM und Solvency II mit. Sie beraten die Anwender zum Thema MoSes. Sie übernehmen die Abstimmung/Koordination mit anderen Entwicklern (intern/extern)
Minimum Requirements: ein erfolgreich abgeschlossenes Studium der (Wirtschafts-)Mathematik/Informatik. Sie bringen gute Kenntnisse in einer Standardprojektionssoftware (MoSes, Prophet, …) mit. Eine begonnene bzw. abgeschlossene Weiterbildung zum Aktuar ist von Vorteil. Sie haben ausgeprägte analytische sowie kommunikative Fähigkeiten und Ihre Arbeitsweise zeichnet sich durch Zuverlässigkeit, Genauigkeit, Verantwortungsbewusstsein und Teamfähigkeit aus

Published: May 20, 2015   13:19              

Department: Department of Mechanical Engineering
Duration: 3 y
Duties: Post 1: Extension of existing mesh-free co-rotational formulation for 2D to 3D continua. Focus on large strains in elasto-plastic materials and the implementation of a collision subsystem to increase simulation speed and stability. Key ingredients that need to be established for a co-rotational formulation, viz. implementation of a maximum-entropy basis function, relationships between global and local coordinates, angle of rotation of a typical co-rotating coordinate system and a variationally consistent tangent stiffness matrix. Post 2: Implement a mesh-free co-rotational formulation to simulate ductile fracture. Adapting real-time simulation techniques to demonstrate viability of the mesh-free co-rotational approach through the animation of a few benchmark cases, viz. blast response of a panel, fragment impact and fracture response of ductile (steel) and brittle (ceramics) materials
Minimum Requirements: Applicants should have a background in Applied Mathematics, Computer Science or Engineering (with a high theoretical content only). Familiarity with ABAQUS (finite-element software) and virtual reality is an advantage. Only students with a UK-equivalent 1st Class degree, or good Master’s degree with relevant experience, will be considered

Deadline: October 15, 2015 | Published: May 20, 2015   10:44              

Workload: 40%
Duties: Assist team members with regular quality control of portfolio model simulation runs. Assist with the development of metrics to help identify and correct problems and errors in model simulation runs. Work under the supervision of Head of MRA to develop portfolio assessment metrics. Contribute to the ongoing development of the quality control process. Work with members of the Investment Systems team to implement models on productive systems. Undertake other ad hoc modelling tasks under the direction of Head of MRA. Undertake Python/Matlab programming and SQL database interaction
Minimum Requirements: Student, ideally nearing completion of an MSc or higher qualification in quantitative finance or related quantitative discipline. Strong mathematical knowledge preferably with a focus on probability and stochastic processes. A solid academic knowledge of quantitative finance theory (asset pricing, risk management, portfolio theory). Knowledge of techniques of applied quantitative finance (Monte Carlo simulation, statistical inference, risk measurement). Strong programming skills in one or more of Matlab, Python, R or similar. Strong oral & written communication skills. Responsible and detail-oriented. Keen interest in quantitative finance. Fluent English written and spoken

Published: May 20, 2015   08:55              

Workload: 100%
Duties: Das regelmässige Berichterstatten und die Kommunikation der Kennzahlen MCEV/NBV (Market Consistent Embedded Value/New Business Value). Das risikobasierte Überwachen und die Analyse der Profitabilität der Lebensversicherungsprodukte. Das generieren der Business Insights zur Unterstützung des Managements in wichtigen strategischen Entscheiden. Das Berichterstatten der monatlichen/quartalsweisen Profitabilitätskennzahlen. Das Erstellen von Prognosen für NBV. Das Erstellen von Profitabilitäts- und Veränderungsanalysen im Rahmen von Reportings (z.B. AoC)
Minimum Requirements: Sehr guter Hochschulabschluss mit naturwissenschaftlicher Ausrichtung (Mathematik/Physik). Mindestens 4 Jahre Berufserfahrung als Aktuar in einem Versicherungsunternehmen. Kenntnisse der marktorientierten Bewertung (MCEV) von Lebensversicherungsverträgen und/oder des schweizerischen Versicherungsgeschäftes. Ausbildung zum Aktuar oder Mitglied SAV/DAV. Erste Erfahrung mit PROPHET oder MOSES von Vorteil. Belastbare, motivierte Persönlichkeit. Fliessende mündliche und schriftliche Kenntnisse in Deutsch und Englisch

Published: May 20, 2015   08:53              

Department: Institute of Child Health
Duration: 3+ y        Workload: 100%
Duties: The post will be at the cutting-edge of research into linkage of various administrative data from different government sectors – such as tax, benefit, health, crime and education records. The research will focus on developing and evaluating methods for linking data and for taking linkage error into account in analyses relevant to policy and services. The post offers unrivalled training in and experience of complex, longitudinal administrative databases and methodologies underpinning their use. The post offers an excellent opportunity for a post-doctorate statistician to enhance their expertise in the linkage of large administrative datasets for research and to gain experience in a dynamic, multidisciplinary research environment. The post holder will work alongside other quantitative and computer scientists, and experts in policy and services on which the data are based. There will be opportunities for collaboration with other researchers using electronic healthcare data and the post ...
Minimum Requirements: Candidates for this post should have a PhD in statistics, quantitative psychology or a related area or equivalent experience, experience of conducting quantitative methodology research and experience in handling and analysing administrative datasets. Experience of data linkage methods and expertise in analysing micro administrative data for individuals related to in economic/finances, health, or other public services is essential

Deadline: June 14, 2015 | Published: May 20, 2015   08:52              

Duration: 4 y        Workload: 100%
Duties: Lead their own project, contribute to other projects on a collaborative basis (both in the lab and with external collaborators) and guide PhD students in their research. Example projects include: 1) Characterizing the landscape of tumour suppressors across primary tumours using approaches centred on copy number analysis. 2) Molecular archaeology of cancer: gaining insight into tumour evolution by mining whole genome sequencing data. 3) Developing methods to deconvolute expression in tumour and admixed normal cells from RNA sequencing data
Minimum Requirements: A solid theoretical background in (bio)statistics, i.e. either a PhD degree in statistics, biostatistics or a related field, or a master's degree in (bio)statistics and a PhD in computational biology, biology, biomedicine or a related field. Excellent knowledge of a programming language (R/BioConductor, Perl, Python, etc)
Preferred Requirements: A background in biology or cancer genomics. Prior experience with handling massively parallel sequencing data

Deadline: July 7, 2015 | Published: May 20, 2015   07:51              

Department: Sciences School of Mathematics
Workload: 100%
Duties: The School is an internationally leading centre for research in areas of Applied Mathematics including Astrophysical and Geophysical Fluids (AGFD), Integrable Systems (IS), Mathematical Biology (MB), Polymeric Fluids and Industrial Mathematics (PIM) and Applied Nonlinear Dynamics (AND). We have a successful ongoing strategy of supporting leading research across these areas as well as embracing the development of links between them, and with other disciplines (e.g. Physics, Environmental Science, Engineering, Biology, Medicine, and the Social Sciences)
Minimum Requirements: You must have a PhD or other doctorate in a relevant discipline and a proven track record of research and publication outputs which meet standards of academic excellence equivalent to the REF assessment grade of 3* or 4* (internationally excellent, or world-leading, in terms of originality, significance and rigour). You should be willing to seek research funding to support your work and the work of your research group. You should have recent experience of teaching undergraduate and/or postgraduate students and the development of teaching materials

Deadline: June 23, 2015 | Published: May 20, 2015   05:01              

Department: Computer Engineering
Duration: 1 + 1 y        Workload: 100%
Duties: Power-density is becoming a significant limiting factor for the design of High-Performance computers. Single-chip performance does not scale well, expending significant hardware and energy costs for delivering speedups. To this end, we are recruiting one Post-Doctoral researcher to work in the field of HPC architectures exploiting reconfigurable hardware to improve computational density per Watt as well as per unit volume (ultra-high-density systems). Topics of interest include hardware/software codesign, analysis and partitioning of applications, programming environments and runtime systems
Minimum Requirements: The candidates shall have a PhD Degree in Computer Science, Computer Engineering, or Electrical Engineering with a PhD thesis in the area of Computer Architecture or in a closely related field. Successful candidates will further have good engineering (programming and hardware design) skills as well as significant experience and a profound interest in High-Performance and Reconfigurable Computing

Deadline: September 1, 2015 | Published: May 20, 2015   05:01              

Department: Defence Statistics (Health) Division
Duration: 2 y        Workload: 100%
Duties: The post provides leadership of the Operational Casualty team, the fatalities team & the Injury and Rehabilitation team and management of the key customers for the work area. Working closely with the teams and line management the post will take forward any development work in this area - The Operational Casualty team and the fatalities team are responsible for providing statistical information on operational casualties and fatalities. The injury and rehabilitation team are responsible for providing statistical information on injuries, rehabilitation and the reporting of operational casualty patients once they are being treated in the UK
Minimum Requirements: A first or second class honours degree in a numerate discipline such as mathematics, economics, psychology or geography (applications are welcome from those whose degree contain formal statistical training); a graduate diploma of the Royal Statistical Society; an equivalent qualification. We also welcome applications from candidates who do not have a degree but can demonstrate significant experience in a statistics-related field, plus continuing professional development in a relevant area that leads to qualifications (for example, RSS higher certificate)

Deadline: June 8, 2015 | Published: May 20, 2015   05:01              

Department: UCL Energy Institute
Duration: 2+ y        Workload: 100%
Duties: We are seeking to appoint a Research Associate to undertake dedicated projects in energy systems analysis as part of the UK’s leading energy systems and modelling research team. You will work on a range of projects including wholeSEM, a ground breaking UK initiative funded by EPSRC to develop, integrate and apply state-of-the-art energy models and behavioural and uncertainty modelling under the FP7 Advance Project. The successful candidate would become a fully fledged energy system modeller, able to build, run, critique, and explain a range of modelling frameworks
Minimum Requirements: The ideal candidate for the post is a quantitative, analytical person with previous experience in building, critiquing and applying energy-economic models. Candidates with experience of the TIMES or MARKAL modelling platforms are especially encouraged to apply. However we are also very keen to speak to highly analytical economists, engineers, social scientists, and natural scientists who wish to develop and apply their quantitative and programming skills to energy modelling. PhD (or close to final submission) in economics, engineering, operations research, mathematics or energy-related quantitative field, or commensurate experience

Deadline: June 17, 2015 | Published: May 20, 2015   05:01              

Department: Roma
Duration: 1 y +        Workload: 100%
Duties: In the context of the MUMPS software library and project, the engineer will support the researchers in transferring research into the software. He/she will both participate to the developments and work to ensure the quality of the code and of its documentation. He/she will also contribute to the non regression tests (functional tests, performance tests, code coverage), and to software engineering aspects, support and maintenance. He/she will also participate in the animation of the user community and will be responsive to the technical needs of the industrial members of the MUMPS Consortium
Minimum Requirements: Master, engineering or PhD degree in computer science or applied mathematics. Background in linear algebra and familiarity with algorithms commonly used in sparse direct methods. Demonstrable experience in developing C and Fortran codes with MPI and/or OpenMP on parallel architectures. Knowledge of Linux/Unix environments and of development tools such as version managers, scientific libraries, script languages, etc

Deadline: July 5, 2015 | Published: May 19, 2015   16:58              

Department: Morpheo
Duration: 3 y        Workload: 100%
Duties: In this particular PhD project, we wish to analyze and reconstruct various aspects of the observed shape, specifically focusing our effort on optimal combination of all available data and management of temporal evolution. On one hand, the reconstruction of objects in the static case has been extensively covered using multi-view stereo algorithms and silhouette-based algorithms; on the other hand previous temporal algorithms have mostly focused on the already challenging problem of tracking the surface of subjects in motion, some of these advances being achieved by members of Morpheo team. Inherently 4D, spatio-temporal algorithms still need to be conceived to retrieve maximal geometric and appearance & texture detail, and benefit from the large amount of information redundancy in time and with multiple cameras
Minimum Requirements: Master degree in Computer Science or Applied Mathematics. Solid programming skills; project involves programming in Python, C++. Solid mathematical background, especially in geometry, linear algebra, statistics

Deadline: July 15, 2015 | Published: May 19, 2015   16:58              

Department: Roma
Duration: 1 y +        Workload: 100%
Duties: In the context of the MUMPS software library and project, the engineer will support the researchers in transferring research into the software. He/she will both participate to the developments and work to ensure the quality of the code and of its documentation. He/she will also contribute to the non regression tests (functional tests, performance tests, code coverage), and to software engineering aspects, support and maintenance. He/she will also participate in the animation of the user community and will be responsive to the technical needs of the industrial members of the MUMPS Consortium
Minimum Requirements: Master, engineering or PhD degree in computer science or applied mathematics. Background in linear algebra and familiarity with algorithms commonly used in sparse direct methods. Demonstrable experience in developing C and Fortran codes with MPI and/or OpenMP on parallel architectures. Knowledge of Linux/Unix environments and of development tools such as version managers, scientific libraries, script languages, etc. An experience of software engineering and scientific software implementation would be an advantage, together with an experience in project management

Deadline: June 5, 2015 | Published: May 19, 2015   16:50              

Department: Personen-Rück­versi­cherung
Duration: befristet bis zum 31.12.2016
Duties: Sie betreuen unsere Kunden im britischen Lebensrückversicherungsgeschäft bei der Entwicklung von Rück­versicherungs­lösungen zur Risikodeckung und Finanzierung. In diesem Zusammenhang quotieren Sie das Vorzugsrentengeschäft, analysieren bestehende Verträge und verwalten diese. Ebenso gehört die ordnungsgemässe Abwicklung von Altverträgen zu Ihren Aufgaben. Darüber hinaus unterstützen Sie die Kolleginnen und Kollegen im technischen Rechnungswesen bei Abrechnungsfragen
Minimum Requirements: Erfolgreich abgeschlossenes Master-Studium der Mathematik; Praktische Erfahrung in der Lebenserst- und/oder Lebensrückversicherung ist von Vorteil; Gute Kenntnisse der Rechnungslegungsvorschriften US-GAAP, IFRS und HGB; Routinierter Umgang mit Microsoft Office und Programmierkennnisse; Sehr gute Deutsch- und Englischkenntnisse; Bereitschaft zur Reisetätigkeit

Published: May 19, 2015   08:36              

Duration: 16 m        Workload: 100%
Duties: Wir suchen aussergewöhnliche Talente, die ihre persönliche und berufliche Weiterentwicklung voranbringen wollen und damit auch uns weiterbringen. Engagierten Fachhochschul- und Hochschulabgängern bieten wir die Gelegenheit nach dem Studienabschluss in einem 16-monatigen Programm in verschiedenen Bereichen der Versicherungs- und Finanzdienstleistungsbranche zu arbeiten und diese kennenzulernen. Das General Trainee Programm bietet die Möglichkeit einen vielfältigen Einblick in die verschiedenen Bereiche unseres Konzerns zu erhalten
Minimum Requirements: Interesse an Versicherungen und Finanzdienstleistungen haben. über einen überdurchschnittlichen Masterstudienabschluss verfügen. bereits erste praktische Erfahrung während des Studiums gesammelt haben. in Deutsch, Englisch und Französisch sehr gut kommunizieren können. Qualitäten wie Eigeninitiative, die Fähigkeit, sich und andere zu motivieren, gewandte Kommunikation und sicheres sowie überzeugendes Auftreten und Verhandlungsgeschick mitbringen. gern im Team arbeiten und Verantwortung übernehmen

Published: May 19, 2015   08:32              

Department: Research Group: Algebra and Geometry
Duration: 3+1 y        Workload: 100%
Duties: Research related to one of the areas: homological algebra, deformation quantization, theory of operads and props, configuration spaces. Limited teaching activity (approx 2 hours/week)
Minimum Requirements: Master degree (or an equivalent degree) in Mathematics of high quality. Solid knowledge in Algebra and Geometry. Good written and oral skills in English

Deadline: June 7, 2015 | Published: May 19, 2015   07:38              

Duration: 2 y        Workload: 100%
Duties: We aim at rigorously proving theorems about existence of solutions, ideally without any restrictions on data, as well as analyzing theoretically the asymptotic features of such solutions. Some of the motivation comes from numerical experiments conducted by physicists, which we try to put on solid theoretical foundation. Particular areas of interest are stability/instability of soliton type solutions, as well as precise blow up dynamics of solutions
Minimum Requirements: The successful candidate should have received their Ph. D. in mathematical analysis, mathematical physics or a related field no more than two years ago and aim to perform research in or related to nonlinear PDE

Published: May 19, 2015   07:35              

Workload: 100%
Duties: An exciting opportunity has arisen for a crop modeller/agricultural informatician to join our team of academics. Your expertise will complement that of international experts in applied informatics, food and plant systems and supply chain management
Minimum Requirements: You will have a PhD in a related area, and experience of winning research grants, running research projects, and working in multidisciplinary collaborations. You will have a track record of publishing high impact journal articles in one or more aspects of modelling crop systems, which could range from mechanistic, functional to stochastic models. You will have a commitment to scientific rigour, a passion for solving applied problems, and enjoy engaging with experts and opinion-formers in academia, industry and Government. Ideally you will have experience in both an industry and academic setting

Deadline: June 21, 2015 | Published: May 19, 2015   05:05              

Department: Faculty of Science
Workload: 100%
Duties: As a tenure track assistant professor you will carry out research in one of the leading areas in mathematics, publish your work in scientific journals, and present your research at top national and international conferences. You will teach courses on all levels of the Bachelor’s and Master's programmes in Mathematics and contribute to mathematics service courses in other programmes. You will also actively contribute to the supervision of Bachelor’s and Master’s projects and be involved in organisational tasks within the institute
Minimum Requirements: You hold a doctoral degree in mathematics and are an independent researcher; you have a proven track record of publishing in leading scientific journals and conferences; you are able to set up your own research programme and to attract external project funding; you have postdoctoral research experience, typically in an international context

Deadline: June 21, 2015 | Published: May 19, 2015   05:02              

Department: Trust Centre for Human Genetics
Workload: 100%
Duties: The aim of the current work is to update and improve these models to define global spatiotemporal variation in infant mortality and in the leading causes of infant mortality (HIV, TB, malaria, respiratory illness, and diarrhoea). Undertake innovative applied research to develop and apply novel spatial models to priority disease questions.
 Develop and implement new computational and statistical methods. Create, test and use relevant computer code; maintain and distribute completed software.
 Contribute and develop ideas for new research projects and apply for grant funding to support these.

Minimum Requirements: You will have a PhD in computer science, statistics, maths, physics or another relevant subject. A demonstrable interest in the research described here, relevant postdoctoral research experience and demonstrated competence in scientific computing using at least one programming language (C, C++, JAVA, R are preferred). You will have excellent analytical and quantitative skills including a good working knowledge of probability theory/statistics

Deadline: June 15, 2015 | Published: May 19, 2015   05:01              

Department: Centre for Human Genetics
Duration: 2 + y        Workload: 100%
Duties: Applications are invited for a Postdoctoral Research Scientist in Computational Cancer Genomics within the Genomic Medicine group. The purpose of the role is to develop and deliver integrative approaches to dissect the complexity of cancer as a genomic disease. The research will focus on development and application of effective strategies for mining and integration of complex human *omics datasets and clinical/phenotypic data in cancer studies
Minimum Requirements: The role would suit a candidate who is interested in developing a career at the confluence of Statistics/Data Mining/Machine Learning and Biology. Ideally, you will have experience in development of analytical approaches to high-throughput and multivariate data mining and integration gained through a PhD (or equivalent) in a quantitative subject (eg mathematics, statistics, physics, engineering or computer science). Experience of statistics and/or machine learning techniques is highly desirable as is evidence of prior experience of developing bioinformatics software and/or analysing complex *omics data sets. You will be able to work as part of a team and independently and deliver results to the required standard and schedule

Deadline: June 17, 2015 | Published: May 19, 2015   05:01              

Department: Life Sciences
Duration: 2 y        Workload: 100%
Duties: The aim of the post is to provide research support for the BBSRC/EPSRC Synthetic Biology Research Centre (SBRC) in the creation and exploitation of gas fermenting microbial chassis as it relates to the sustainable production of chemicals and fuels. The team will conduct cutting edge research into novel computational and mathematical modelling and analysis approaches and development of an integrated software suite to facilitate the rapid development of microbial chassis able to produce a range of platform chemicals. We seek individuals who will focus on biochemical/synthetic biology modelling, whose responsibilities will include development of synthetic biology devices and modelling of biochemical pathways
Minimum Requirements: Candidates should hold a PhD or equivalent (pending or awarded) in a discipline relevant to the mathematical or computer modelling of biological and, ideally, microbiological systems

Deadline: June 18, 2015 | Published: May 19, 2015   05:01              

Duration: 5 y        Workload: 100%
Duties: This particular PhD project aims to implement a DNS sub-grid scale model for bubble-bubble interaction and macroscopic mixture properties, influencing the collapse rate and energy of the cavity, to incompressible mixture flow models. The mixture model will be based on the Volume of Fluid approach. This will be expected to overcome several deficiencies in the very crude models that are commonly used today. The developed model will be applied to and tested for industrial applications regarding hydraulic equipment, e.g. turbines or marine propellers. The position generally also includes teaching, primarily in the Masters programme in Naval Architecture and Ocean Engineering
Minimum Requirements: Master's level degree corresponding to at least 240 higher education credits in a relevant field. Good knowledge in CFD is required
Preferred Requirements: A background in multiphase flows, unsteady CFD simulations, and turbulence modeling is beneficial

Deadline: June 8, 2015 | Published: May 19, 2015   05:00              

Department: University College Freiburg
Duration: 5 m        Workload: 80 Monatsstunden
Duties: Sie unterstützen die Lehre im Bereich „Faszination Wissenschaft“ durch die inhaltliche und administrative Vorbereitung von Veranstaltungen. Ausserdem unterstützen Sie die Projektkoordination bei der nachhaltigen Integration des Projekts in die Universität Freiburg, durch Öffentlichkeitsarbeit, Pflege der Website, Bewerbung des Angebotes von „Faszination Wissenschaft“ und Pflege der Campus Management-Systeme - Das Modul „Faszination Wissenschaft“ ermöglicht Bachelorstudierenden ab dem 3. Studienjahr einen Einblick in das Praxisfeld Wissenschaft und vermittelt Grundlagen des Design von transdisziplinären Forschungsprojekten und der deutschen Förderlandschaft
Minimum Requirements: Ein abgeschlossenes Hochschulstudium (ab B.A./B.Sc., kein abgeschlossenes Promotionsverfahren), exzellente Deutschkenntnisse mind. Niveau C 2; Unterrichtssprache ist Deutsch), selbstständige Arbeitsweise, transdisziplinärer Hintergrund ist wünschenswert

Deadline: June 5, 2015 | Published: May 18, 2015   15:44              

Department: Financial Services EMEIA FSO
Duties: Prüfung und Bewertung versicherungstechnischer Rückstellungen sowie von Pensionsverpflichtungen nach HGB, IFRS und US-GAAP. Entwicklung und Review von internen stochastischen Risikokapitalmodellen. Aufbau und Review der Risikomanagementfunktion in Versicherungsunternehmen. Aktuarielle Begleitung von Unternehmenstransaktionen. Bewertung von Versicherungsbeständen und -unternehmen mit Hilfe aktuarieller Methoden. Wertorientierte Steuerung von Versicherungsunternehmen. Unterstützung bei der Einführung von Solvency II und IFRS 4 Phase 2
Minimum Requirements: Sie haben bereits die Hälfte Ihrer Studienpunkte erreicht und befinden sich nun in der Vertiefungsphase Ihres Studiums der (Wirtschafts-) Mathematik, vorzugsweise mit den Schwerpunkten Versicherungs- oder Finanzmathematik. Sie sind hoch motiviert, arbeiten sich schnell in komplexe Aufgabenfelder ein und interessieren sich für betriebswirtschaftliche Zusammenhänge. Sehr gute Englisch- sowie anwenderbezogene EDV-Kenntnisse (MS Office) runden Ihr Profil ab

Published: May 18, 2015   15:40              

Department: Financial Services EMEIA FSO
Duties: Prüfung und Bewertung versicherungstechnischer Rückstellungen sowie von Pensionsverpflichtungen nach HGB, IFRS und US-GAAP. Entwicklung und Review von internen stochastischen RisikokapitalmModellen für Solvency II. Aufbau und Review der Risikomanagementfunktion in Versicherungsuden Unternehmen im Rahmen der Einführung von Solvency II. Aktuarielle Begleitung von Unternehmenstransaktionen. Bewertung von Versicherungsbeständen und -unternehmen mit Hilfe aktuarieller Methoden. Wertorientierte Steuerung von Versicherungsunternehmen. Unterstützung bei der Einführung von Solvency II und IFRS 4 Phase 2Umstellung auf internationale Rechnungslegungsnormen
Minimum Requirements: Sie haben Ihr Studium der (Wirtschafts-) Mathematik erfolgreich abgeschlossen und verfügen über sehr gute Kenntnisse der Versicherungsmathematik. Idealerweise konnten Sie bereits im Rahmen von Praktika und/oder einer Lehre erste Erfahrungen im Versicherungsumfeld sammeln. Sie sind hoch motiviert, arbeiten sich schnell in komplexe Aufgabenfelder ein und streben eine Aus­bildung zum Aktuar (DAV) an. Ein Interesse für betriebswirtschaftliche Zusammenhänge sowie sehr gute Englisch- und anwenderbezogene EDV-Kenntnisse runden Ihr Profil ab

Published: May 18, 2015   15:39              

Duration: 4 y        Workload: 100%
Duties: The postdoctoral training fellow will develop and analyse a generic theory of active surfaces. In collaboration with experimentalists, this theory will be applied at the cell scale to analyse the shape of protrusions at the cell surface, and at the tissue scale to understand the establishment of tissue shape during embryonic morphogenesis. Develop a theory of out-of-equilibrium surfaces with order parameters. Develop numerical simulations of active surface shapes. Develop a model of the cell membrane shape and fluxes during cell morphogenetic processes
Minimum Requirements: A PhD or in final stage of completing a PhD in theoretical physics, biological physics, applied maths or related fields. Experience in collaborative work with experimentalists, either physicists or biologists. Experience in performing numerical simulations. At least one first authorship in a peer-reviewed international publication
Preferred Requirements: Experience with theories of active matter. Experience with continuum mechanics

Deadline: June 15, 2015 | Published: May 18, 2015   14:02              

Workload: 100%
Duties: Lead and deliver high profile and strategically important capital projects in Europe. Develop long-term relationships with key external stakeholders (i.e. Customers, banks, regulators). Identify opportunities and risks associated with changes in direction of external environment, looking forward 5+ years. Provide input to the regional strategy in particular with regards to balance sheet and carrier management. Promote and lead the standardization of local and regional Treasury processes including the rationalization of Treasury organizations in order to achieve economies of scale. Work with rest of Group Treasury and Capital Management in Zurich to build a picture of the European balance sheets in terms of: risk, ratings and regulatory capital requirements, liquidity, financial risk, leverage and legal entity structure
Minimum Requirements: Masters degree in Sciences, MBA CPA and/or CFA, Qualified Actuary or Treasurer. 8 or more years of related experience. Sound financial acumen. Corporate finance knowledge is a must, solid insurance know-how. Ability to analyze complex financial data, strong analytical skills. Broad Treasury and capital management knowledge and knowledge of regulatory regimes. Accounting experience, particularly of balance sheets is preferred. Knowledge of the legal and regulatory environment in the EU and in particular Solvency 2. Fluent written and spoken English essential, German preferred. Financial market technology, including Bloomberg

Published: May 18, 2015   12:04              

Workload: 100%
Duties: To understand the regulatory environment so as to set realistic solvency targets, manage inadmissible assets, take advantage of opportunities to place assets or take loans from the local carriers and to anticipate changes in local regulation as part of capital planning. To help plan and implement the BUs contribution to the Group’s liquidity and financial flexibility. This means working to make available resources for the Group to draw on as contingent liquidity, identifying one-off cash initiatives to contribute our cash remittance targets and to ensure smooth delivery of ‘BAU dividends’. To work on legal entity structures and loan webs to try and reduce complexity, close dividend traps and more closely mirror the Group’s Z-ECM framework. To promote and work actively with Z-ECM. The relationship manager should help identify BU/RU specific risks so as to deepen the range of activities covered, and to facilitate feedback to the economic capital managers within the team on method...
Minimum Requirements: Masters degree in finance combined with at least 5 years of insurance experience. CFA, Actuarial or Accounting qualification preferred. Sound financial acumen. Corporate finance knowledge is a must. Solid insurance know-how. Ability to analyze complex financial data. Strong analytical skills. Treasury knowledge. Knowledge of regulatory regimes. Accounting experience, particularly of balance sheets is preferred. Fluent written and spoken English. German and other languages are definitively a plus

Published: May 18, 2015   12:03              

Workload: 100%
Duties: Analysis of market positioning and segmentation. Assisting in the development of new pricing and analytical tools for use by Product Underwriting. Assisting in the exploration of new channel opportunities. Work with the actuarial department to assist them in technical pricing developments. Use and development of segmentation information to provide data with which Zurich may manage the accounts and opportunities
Minimum Requirements: Degree and/or relevant professional qualification or working towards a relevant professional qualification. Advanced degree in one of the following areas; Analytics, MIS, mathematical, statistical or an economics discipline is an advantage. Strong consideration given to progress in insurance industry examinations. Up to 4 years or more GI business experience across both personal and commercial lines. Excellent Spreadsheet and Database expertise. Strong analytical skills, problem solving and decision-making ability a must
Preferred Requirements: Familiarity with BI tools (e.g. Business objects) and reporting solutions a distinct advantage. Statistical and mathematical skills preferred – but must be numerically literate and comfortable with standard calculations at a minimum. Familiarity with multivariate analytical tools and techniques an advantage

Published: May 18, 2015   11:34              

Duties: Mathematics, Statistics, Econometrics, Actuarial Sciences, Quantitative Finance, OR and more

Published: May 18, 2015   11:32              

Duties: Direkt der Geschäftsleitung unterstellt übernehmen Sie die Verantwortung für das Risikomanagement, das Controlling des Produktportfolios und die Überprüfung der Kapitalanfordernisse. Sie entwickeln aus dem Lebensversicherungsbestand Bestandsprojektionen, interpretieren die Modellergebnisse und leiten daraus Handlungsempfehlungen für das Management ab. Dabei erstellen Sie Quartals-/Jahresberichte und sind mitverantwortlich für die Umsetzung von regulatorischen/Solvency II Vorgaben in Ihrem Bereich. In Zusammenarbeit mit den IT-Verantwortlichen führen Sie mathematische Software ein und wenden diese an. Bei der Tarifierung und Entwicklung neuer Produkte ist Ihre Expertise auch im Produktmanagement gefragt. Im Rahmen strategischer Unternehmenskäufe unterstützen Sie die Geschäftsleitung bei Due-Diligence-Prüfungen. Als Vertreter der Aspecta nehmen Sie auch Einsitz in Gremien der Aufsichtsbehörde
Minimum Requirements: Für diese neu geschaffene Position suchen wir eine/n Mathematiker/in mit Aktuarausbildung und einigen Jahren Berufserfahrung in einer ähnlichen Funktion in der Lebensversicherung. Ihre starken analytischen Fähigkeiten und Ihre hohe Leistungsbereitschaft ermöglichen es Ihnen, schnell die Themen zu erfassen, umzusetzen und Verantwortung zu übernehmen. Sie verstehen es, mathematische Sachverhalte verständlich darzustellen und kommunizieren stufengerecht auf allen Ebenen. Als eigenverantwortlicher Teamplayer gehen Sie Herausforderungen ziel- und lösungsorientiert an. Kenntnisse in Risikomanagement und Solvency II, stilsicheres Deutsch sowie Englisch auf verhandlungssicherem Niveau bringen Sie als zusätzliche Qualifikationen ein

Published: May 18, 2015   10:38              

Duties: Mit viel Engagement stellen Sie sich verantwortungsvoll allen mathematischen Aufgaben einer Lebensversicherungsgesellschaft. Sie arbeiten mit bei der Erstellung von Quartals- und Jahresberichten, berechnen versicherungstechnische Rückstellungen und wirken bei Solvency II Bewertungen mit. Sie planen und führen statistische Analysen der Bestandszahlen mittels Datenbankanalysen (SQL) durch und erstellen die entsprechenden Berichte. Im Bereich des Produktmanagements arbeiten Sie an der Erstellung von Geschäftsplänen und -kalkulationen für Tarife. Bei Due- Diligence-Prüfungen im Rahmen strategischer Unternehmenseinkäufe wirken Sie unterstützend mit. Sie analysieren, optimieren und dokumentieren Geschäftsprozesse und arbeiten an der Einführung und Weiterentwicklung neuer IT-Applikationen für das Aktuariat
Minimum Requirements: Voraussetzung für diese neu geschaffene Position ist ein abgeschlossenes Hochschulstudium in Mathematik und Kenntnisse im Bereich Versicherungsmathematik. Sie konnten bereits erste Erfahrungen sammeln (v.V. in der Lebensversicherung) und möchten nun das Gelernte weiterentwickeln. Ihre eigenständige, qualifizierte und systematische Arbeitsweise zeichnet Sie aus. Analytisch und zielorientiert gehen Sie Ihre Aufgaben an und verstehen es, mit allen Beteiligten eine stufengerechte Kommunikation zu pflegen. Neben der Begeisterung für die versicherungsmathematischen Aufgaben bringen Sie die Bereitschaft mit, den Abschluss als Aktuar zu erwerben

Published: May 18, 2015   10:36              

Department: Engineering & Physical Sciences
Workload: 100%
Duties: The post is associated with the newly funded STEPPING UP project, which is part of a large consortium, funded by the EPSRC aiming to explore challenges at the Water-Energy-Food nexus. To develop a framework for assessing whether or not a particular innovation or system has relatively low impact across the water-energy-food nexus. To assess 5-6 case studies using this framework, interacting with stakeholders to gather data and determine data quality. To provide the team and advisory board with updates of project progress
Minimum Requirements: A PhD in a scientific, mathematical, engineering, physical geography or environmental discipline. Excellent numeracy skills and expertise in basic computer packages, including Microsoft Excel. Track record in emissions accounting methods and approaches with a working knowledge of the sources of greenhouse gas emissions, particularly those from the foodsystem

Deadline: June 12, 2015 | Published: May 18, 2015   05:06              

Workload: 100%
Duties: The research project aims at providing methodological and empirical developments in the field of statistical analysis of relational data, also known in the literature as Social Network Analysis (SNA). The analysis of relational data triggers substantial problems concerning statistical methods. The inner interdependence among the units entangles both the specification and the estimation of statistical models
Minimum Requirements: Experienced researcher or 4-10 yrs (Post-Doc)

Deadline: June 3, 2015 | Published: May 18, 2015   05:01              

Department: The Department of ICT
Workload: 100%
Duties: Your research will investigate analytical methods and network designs that aggregate the information from different machinery and industrial components at different levels. The main topics for the PhD positions will be: istributed in-network intelligence to perform localized event prediction, anomaly detection, pattern feature extraction and decentralized learning across multiple machinery components. Theoretical foundations, optimization algorithms and implementation platforms for critical tasks in streaming and high level Big Data Analytics. Design of architecture and cross-layer protocols for a heterogeneous wireless network platform involving sensor nodes, micro-server nodes and actuator nodes which will support autonomous adaptive reactivity, as well as the required cooperation between the in-network distributed intelligence and the high-level centralized intelligence tasks
Minimum Requirements: Substantial knowledge of all or most of the following: optimization techniques, stochastic processes, wireless networks, statistical signal processing algebra, programming in Matlab, C/C++ and Java. Moreover, it would be considered an advantage to have any additional knowledge and experience in: design and implementation of distributed algorithms for Wireless Sensor Network testbeds, low-rank data modeling, compressed sensing. TinyOS and ContikiOS embedded operating systems (and their protocols stacks). Big Data analytics

Deadline: June 5, 2015 | Published: May 18, 2015   05:00              

Department: The National Oceanography Centre
Duration: 3 y        Workload: 100%
Duties: The successful applicant will work on developing, testing and applying the next generation of coastal-ocean models for the Northwest European Continental shelf, based on the NEMO ocean modelling system at high resolution and fully coupled to components of the earth system. You will work on the new European Union North West Shelf Copernicus services. Working closely with the UK Met Office, you will be involved in pulling through this capability to operational oceanographic forecasts, hindcasts and reanalyses, the analysis and interpretation of these, and working on the resulting scientific outputs, such as journal publications
Minimum Requirements: You will be highly numerate, have a PhD or equivalent research record, and ideally knowledge of shelf sea physical oceanographic processes. You will have a first degree in physical sciences, mathematics or oceanography and demonstrated programming skills. Good written and oral communications skills are essential

Published: May 17, 2015   12:33              

Workload: 100%
Duties: Develop well-structured and documented statistical and data analysis code (mainly in SAS and R) that maximises reuse (for efficiency) and that serves as a model for further work.Training courses available include: o Introduction to R, (Oxford University, 2 x 3 hours, or similar training at CTSU) o NDPH 10 training sessions ‘Statistical Programming and Analysis Training for Performance as a Medical Statistician‘ o SAS Macro Language 2: Developing Macro Applications (2 days)
Minimum Requirements: We are seeking to recruit a statistician with a good understanding of a range of statistical techniques and experience of programming in a statistical language

Deadline: June 17, 2015 | Published: May 17, 2015   05:01              

Department: School of Physics, Astronomy and Maths
Duration: 2 y        Workload: 100%
Duties: The post will investigate the utility of various algorithms in real applications in at least one of the following areas: high resolution radial velocity datasets searching for exoplanets, global soil carbon decomposition in leaf litter and upper atmosphere ice crystal shape analysis
Minimum Requirements: PhD in numerate discipline. A proven knowledge of quantitative research methods and statistical analysis. An aptitude for producing software, e.g. probably fluent in Fortran, C++, Python, SQL, IDL etc. Track record of exploiting of datasets for research purposes. Experience in the preparation of grant or telescope proposals
Preferred Requirements: Relevant recent publications in leading journals. Membership of the Higher Education Academy

Published: May 17, 2015   05:01              

Workload: 100%
Duties: Advise and train statistical researchers in efficient programming techniques as well as efficient use particularly of multicore computing systems. Implement statistical algorithms (mostly in the R statistical programming language, but also compiled languages such as C++ or similar), particularly for Monte Carlo simulation, but also algorithms for numerical mathematics, particularly differential equation solving. Advise on and explore the use of numerical libraries (eg for numerical analysis on multicore and GPU systems), and advanced statistical packages for Monte Carlo simulation (eg Stan) or statistical inference (eg Infer.net)
Minimum Requirements: BSc in computer science or any other scientific area with a strong computing component. Either postdoctoral or industry experience in software development
Preferred Requirements: PhD in statistical computing. Experience in development of scientific or statistical software

Deadline: June 14, 2015 | Published: May 17, 2015   05:00              

Department: Institute of Cellular Medicine
Duration: 2 y        Workload: 100%
Duties: You will join the NIHR Diagnostic Evidence Co-operative (DEC) as a diagnostic evaluation methodologist for projects being delivered by the DEC. You will work with companies and clinicians to develop the evaluation evidence to facilitate in diagnostic tests to be adopted by the NHS and wider markets
Minimum Requirements: You will have expertise in biomedical statistics is required during the protocol development phase and also when carrying out the research, this will include study design, data collection, data management, analysis, reporting and dissemination. You will have a postgraduate qualification in a relevant quantitative discipline, such as mathematical statistics, or biomedical statistics

Deadline: June 14, 2015 | Published: May 17, 2015   05:00              

Department: Animal and Aquacultural Sciences
Duration: 3 y        Workload: 100%
Duties: The successful candidate will work with a world-leading research group within animal breeding and genetics. The main goal of the project is to find new ways to exploit non-additive genetic effects in fish breeding programs. The three sub-goals of the project are to: Synthesise and develop genetic models for simulation of both additive and non-additive genetic effects in an aquaculture breeding setting. Synthesise and develop software for estimation of non-additive genetic effects by the use of genetic dense marker information in aquaculture breeding designs. Optimise breeding designs for fish with respect to the combined utilisation of additive and non-additive genetic effects
Minimum Requirements: Master degree in quantitative genetics, breeding, statistics or systems biology
Preferred Requirements: Experience in programming, especially with Fortran, R and/or Matlab

Deadline: June 15, 2015 | Published: May 16, 2015   14:55              

Department: Mathematics
Duration: 2 y        Workload: 100%
Duties: The main responsibility of the post will be to provide teaching for up to ten hours a week of lectures and classes; this is to include the development and delivery of a Business Economics course for final year Mathematics Undergraduates. The remaining teaching duties will consist of Statistics courses taught within the Mathematics Department and could be at either the Undergraduate or Taught Postgraduate level. The post holder will also carry out personal tutoring and Undergraduate and MSc project supervision work within the Department of Mathematics
Minimum Requirements: You will hold a degree or equivalent with substantial Mathematics, Statistics and Economics components, and have completed, or be working towards a postgraduate qualification or equivalent in one of those disciplines. You will also have, or be working towards, a recognised teaching qualification, or be able to demonstrate experience in a formal teaching environment. You must have recent experience and proven competence of teaching or tutoring at an Undergraduate level in Statistics or Economics, and be able to demonstrate the potential to teach Business Economics to non-Economists effectively and enthusiastically
Preferred Requirements: It is desirable that the successful candidate has the ability to contribute to the research profile of the Department

Deadline: June 17, 2015 | Published: May 16, 2015   14:49              

Department: Statistical Science
Duration: 3, 5 y
Duties: The Department's methodological research is organised into six areas: Biostatistics; Computational statistics; Financial Risk, Insurance, Econometrics and Stochastic Finance; General theory and methodology; Multivariate and high dimensional data; Stochastic modelling and time series. Research often cuts across these areas. Much of this work is interdisciplinary and involves collaborations within and outside UCL
Minimum Requirements: The requirement for admission to the MPhil/PhD in Statistical Science is a 1st class or high upper 2nd class Bachelor’s degree, or a Master’s degree with merit or distinction in Mathematics, Statistics, Computer Science, or a related quantitative discipline. Overseas qualifications of an equivalent standard are also acceptable. Further details can be found on the Departmental website

Deadline: July 31, 2015 | Published: May 16, 2015   12:46              

Workload: 100%
Duties: Development of key elements of Zurich’s economic capital models (SST/SII/RBC) in collaboration with the ECM team members, with the main focus on the aggregation and post-aggregation components; Perform impact analyses requested by the Swiss and European regulators as well as for internal use, e.g. change in reinsurance structure, acquisitions, etc; Further develop the IT system by initiating the changes, collaborating with developers and assuring correctness and timeliness of the implementation; Work closely with the ECM Capital Planning team to support risk-based and economic decision making; Responsible for relevant economic capital model documentation; High aspirations, establish a high-performance culture and strives to build better understanding of various capital models and the underlying interdependencies
Minimum Requirements: Master in quantitative finance, mathematics or related subjects; One of MBA, CFA, FRM or qualified actuary is desired; Minimum three years of experience in the area of economic capital modelling; Solid financial acumen; Solid understanding of regulatory (SST/SII) requirements; Understanding of Life and General Insurance; Hands-on attitude (spreadsheet, modelling, S+, statistical techniques); Critical thinking skills; English essential; Good oral and written presentation skills; MS office proficiency

Published: May 16, 2015   10:38              

Department: Business School
Workload: 100%
Duties: We invite applications from ambitious individuals who have experience of using quantitative data in their research and who will be able to teach in some of the following areas: Human Resource Management (HRM) and employment relations, sociology of work, welfare-to-work, management, international business. Candidates should have a strong interest in research methods, and be able to contribute to teaching in this area. Candidates should also be able to demonstrate an enthusiasm for teaching using quantitative methods, and for engaging academic staff across a range of disciplines about developing quantitative research in curricula
Minimum Requirements: You will have completed or near completed a PhD in HRM, Employment Relations, Sociology of Work or a relevant management discipline, you will be expected to maintain a strong research and publication record and to enhance the Centre for Employment Relations Innovation and Change’s (CERIC) research activities and culture. You will contribute to the public and international profile and standing of CERIC. The appointment offers considerable potential for personal initiative and fulfilment through work within a dynamic School, but you will also be expected to engage with broader methodological initiatives across the Faculty and University and with external stakeholders where appropriate

Deadline: June 14, 2015 | Published: May 16, 2015   05:05              

Department: Norwich Medical School
Duration: until 31 May 2017        Workload: 100%
Duties: We are looking to appoint a Senior Research Associate in Infectious Disease Modelling to carry out research across a range of grants, which include awards from NIHR – Health Protection Research Unit, the Food Standards Agency, and the MRC. The post holder will primarily contribute modelling skills to a range of problems related to infectious disease risk to human populations
Minimum Requirements: Applicants should have a relevant Masters Level degree and be skilled in mathematical modelling techniques. Experience of working in an interdisciplinary environment and evidence of consistent satisfactory completion of previous research projects is also essential

Deadline: June 12, 2015 | Published: May 16, 2015   05:00              

Department: Institute of Psychiatry, Psychology and Neuroscienc
Workload: 100%
Duties: The successful applicant will have in depth involvement in all aspects of trials, working closely with researchers on preparing funding bids, giving statistical advice on trial design and analysis, taking the role of senior statistician on several new and ongoing studies, helping to shape and deliver teaching in trials and in contributing or developing relevant trials methodology
Minimum Requirements: PhD, a substantial publication history in peer reviewed journals, experience of working as a successful trial statistician and good grant record as a Co-Investigator. Enthusiasm and excellent communication skills are essential as considerable negotiation with research teams is required to ensure trials are conducted to the appropriate regulatory and academic standards

Deadline: June 15, 2015 | Published: May 16, 2015   05:00              

Department: BSEER - Bartlett School of Environment, Energy & Resources
Duration: 4 y
Duties: This project will study the accuracy and repeatability of crowd-sourced scientific data in heritage science. This challenging and urgent research problem has not been properly addressed in any scientific field. If you have a science or engineering background, some knowledge of statistics and an interest in heritage and public engagement, if you are creative and enthusiastic, and ready to work in a multidisciplinary team, this could be a project for you. The skills you will develop are highly competitive in any research or entrepreneurial environment
Minimum Requirements: We welcome students with any science or engineering undergraduate qualifications, or who have a good knowledge of statistics and data processing, as well as an interest in heritage and public engagement

Deadline: June 14, 2015 | Published: May 15, 2015   14:50              

Department: General Insurance
Workload: 100%
Duties: As a core member of the GI Captive & Credit Risk Management team you will deliver best practice credit risk management of Zurich’s General Insurance products, notably captive reinsurance transactions, deductibles, surety bonds and structured trade credit insurance. Handle complex credit risk referrals outside of country credit risk authority, including corporate credit risk assessment, analysis and decision-making in accordance with related guidelines and authorities. Deliver communications via appropriate media, such as global underwriting meetings, to global captive and credit risk community to embed empowerment initiatives, tools, best practice and training
Minimum Requirements: Significant experience with a reputable financial institution in a credit underwriting, risk management or financial research/analysis role. Sound knowlege of non-life insurance solutions, in particular Surety, trade credit and the use of reinsurance captives. Educated at least to degree level in a finance, accounting or numeric discipline

Published: May 15, 2015   14:43              

Department: Global Life
Workload: 100%
Duties: As Product Innovation Manager your main responsibilities will include a mix of the below. The exact responsibilities per individual will need to be refined: Next Generation Product Strategy, Influence Pricing Philosophy and Risk Appetite, BU Support, Central Expertise, Review and Refinement
Minimum Requirements: 5-7 years life insurance experience in a product development, actuarial or asset-liability management; Post-graduate business qualification or equivalent is a plus, mathematical or marketing background is preferred; Expertise in life insurance product development combined with actuarial pricing, including modeling skills required, certified actuary preferred; Recent direct execution experience and proven track record of successful product development; Extensive Product knowledge within the Life Insurance industry or related experience; very good communicator in English (verbal and written), German skills are an advantage

Published: May 15, 2015   14:41              

Duration: until December 2015        Workload: 100%
Duties: Calculate catastrophe exposure for all business segments and/or perils within responsibility assigned. Under guidance, support the implementation of a globally consistent best practice process for the data checking, preparation and modeling of all Cat exposures produced within the region. Under guidance, support the implementation of best practice modelling approaches and assumptions for the perils within the region of responsibility. Model perils outside the region of responsibility in line with globally defined best practices and assumptions. Ensure cat data requirements and key areas of data quality improvement are understood by regional business contacts
Minimum Requirements: Numerate degree level qualification. Strong desire to acquire relevant knowledge. Advanced ability to communicate complex results in a clear way to non-practitioners Intermediate in: Analytical thinking; preferably with RMS Risk Link experience (Catastrophe modelling software); knowledge of SQL Management Studio/Programming/Query writing
Preferred Requirements: Further degree (Master’s, PhD, etc.) desirable

Published: May 15, 2015   14:03              

Department: Department of Mathematics
Duration: 3 y
Duties: These 4 positions form part of the Marie Skłodowska-Curie Innovative Training Network Critical Transitions in Complex Systems (CRITICS) to address the problem of characterising and predicting the occurrence of sudden changes of behaviour in the dynamics of complex systems in nature, technology and society. The successful candidates will receive theoretical and practical training, and will have the opportunity to work as part of an international, interdisciplinary team, based at universities and industrial firms throughout Europe. They are expected to finish the project with a PhD thesis and to disseminate the results through patents (if applicable), publications in peer-reviewed journals and presentations at international conferences
Minimum Requirements: Applicants must have a Master’s level degree in Mathematics or a closely related discipline (either awarded or anticipated); Background in Mathematics or a closely related scientific discipline; Knowledge of research methods and techniques; Practical project experience within a strong research environment, and ideally of preparing and publishing scientific papers in relevant, high-impact, refereed journals, and/or delivering industrially-relevant reports/presentations; The ability to work in an internationally-oriented environment, including fluency in English

Deadline: June 3, 2015 | Published: May 15, 2015   09:55              

Workload: 100%
Duties: Current research areas are grouped into five themes namely (1) Bone and joint disease (2) Sarcopenia and frailty, (3) and (4) Nutrition, Development and Lifelong Health in (i) developing populations and (ii) in European populations, and (5) Work and health
Minimum Requirements: You will possess an MSc in statistics or equivalent postgraduate qualification. You will be involved with the analysis of large and complex datasets using appropriate statistical techniques. Experience with SPSS or Stata would be desirable but not essential

Deadline: June 14, 2015 | Published: May 15, 2015   05:06              

Workload: 100%
Duties: The research project is concerned with sparse modeling and representation of various forms of signals, including, in particular, acoustical and spectroscopic measurements. The project considers sparse modeling in inter- and cross-disciplinary applications, and may also include topics such as robust beamforming, spectral representation of sparse signals, compressive sensing, and dictionary learning. The project is of a collaborative nature, and involves cross-disciplinary topics and investigations as a part of the focus
Minimum Requirements: Applicants should have a strong background in sparse modeling and optimization, statistical signal processing, and mathematical statistics, and should have (or obtain within 3 months after 1/9 2015) a M.Sc. degree in Engineering Mathematics, Engineering Physics, Mathematics, or a related discipline. Proficiency in English is a requirement

Deadline: June 4, 2015 | Published: May 15, 2015   05:06              

Duration: 3 y        Workload: 100%
Duties: The Clinical Trial Service Unit (CTSU) is a major international research institute within the NDPH, and is one of the world’s leading centres for research into chronic diseases, such as cancer and heart disease
Minimum Requirements: You will have a PhD or MSc in bioinformatics, statistical genetics (or closely related subject) and extensive experience in genomics, using bioinformatic and statistical tools, and analysing large-scale human genetic data using programming languages such as Perl and statistical packages such as R

Deadline: June 15, 2015 | Published: May 15, 2015   05:06              

Workload: 100%
Duties: In order to inform your software engineering work you will need to develop a sound understanding of the principles underlying the atmospheric model. Then, working in collaboration with science and software experts in the Met Office and at UK university institutions (Cambridge, Leeds, Oxford), you will play a leading role in the implementation of a new aerosol modelling scheme which has the potential to give a step change increase in our modelling capability. The job is offered at two levels, depending on experience and skills: Scientific Software Engineer or Senior Scientific Software Engineer
Minimum Requirements: Undergraduate degree (2.1 or higher, or equivalent) in a physical/environmental science or mathematics. Post graduate experience in developing and running complex scientific computer programmes, using Fortran, Python or comparable languages. For the Senior Software Engineer role experience in code design is required

Deadline: June 5, 2015 | Published: May 15, 2015   05:05