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Department: Pure Mathematics Section, Department of Mathematics
Duties: The main responsibility of the post will be to provide teaching cover (for up to ten hours a week of lectures and classes) for at least two courses, which will be at either undergraduate or taught postgraduate level. The postholder will also carry out personal tutoring and undergraduate and MSc project supervision work within the Department of Mathematics
Minimum Requirements: The successful candidate will hold a degree or equivalent in Mathematics and have, or be working towards, a PhD in Mathematics or a closely related discipline, or have an equivalent level of professional qualifications and/or experience. You will also have, or be working towards, a recognised teaching qualification, or be able to demonstrate experience in a formal teaching environment. A specialist knowledge of pure mathematics, or closely related field, and of teaching methods and techniques within the field of mathematics is essential. You must have recent experience of teaching or tutoring in pure mathematics, and be able to demonstrate the potential to teach university level mathematics effectively and enthusiastically at an introductory undergraduate level. You must have experience of promoting effective learning and interaction with students, together with an ability to motivate mathematics students in the study of pure mathematics. It is highly desirable that the successful cand...

Deadline: June 19, 2017 | Published: May 25, 2017   18:27              

Department: Institute of Psychology, Health & Society
Duration: 4 y        Workload: 100%
Duties: You will primarily work on an MRC funded project focused on addressing inequalities in health across the lifecourse, with a focus on child health, entitled: “Tackling inequalities in child health: Elucidating pathways, interventions and policies”. You will carry out the day-to-day management and co-ordination to address specific research questions, with a focus on quantitative analyses
Minimum Requirements: We are looking for enthusiastic and experienced biostatistician/epidemiologist, preferably with some understanding of and commitment to health inequalities research, who is experienced in three or more of the following: Modern methods for causal inference in observational data; Managing large datasets; Data linkage; Quantitative analysis of large observational datasets; Longitudinal or panel data analysis methods; Econometrics. In addition, you should have some experience of writing for a range of academic and policy audiences and for promoting knowledge exchange

Deadline: June 14, 2017 | Published: May 25, 2017   18:19              

Department: Department: Department of Computer Science
Duration: 2 y
Duties: You will develop scalable approaches to deep non-parametric probabilistic models that use approximate inference techniques to learn the structure of the model. The project requires that we develop practical, interpretable models, with latent variables that can be used by clinicians and non-academics in a meaningful way. We also aim to build distributed user-centric data models, in which the learning occurs across distributed devices, through the paradigm of differential privacy
Minimum Requirements: You will hold a PhD in Computer Science or a related area with a solid background in mathematics/statistics, excellent scientific programming skills and experience in applying machine learning to large sets of digital data

Deadline: June 18, 2017 | Published: May 25, 2017   18:09              

Department: Department of Sociology
Duration: 3 y        Workload: part-time
Duties: Successful candidates will be required to support undergraduate data labs, mark assessments and do a share of module administration. The two introductory courses are ‘Lies, Damned Lies and Statistics’ and ‘Producing Social Data’. All labs are currently taught in SPSS. Some prior experience with this package is essential. The candidates will be expected to pursue a PhD that includes analysis of quantitative data (this may form one part or the sole focus on the PhD proposal). Evidence of proficiency in quantitative methods (from prior study, research or work experience) is essential
Minimum Requirements: Candidates should have a track record of high academic achievement, demonstrated by a good undergraduate degree with at least a second class (upper division) pass or equivalent; plus a good Masters-level degree with at least a pass with merit (or equivalent). Teaching experience will be an advantage but is not essential. Teaching assistants are supported in continuing professional development related to pedagogy. The main research clusters in the department are: Criminology; Media and Communications; Gender, Work and Class; Cultural and Creative Industries and Food Policy. We are, however, happy to consider applicants with a wide range of substantive interests

Deadline: June 12, 2017 | Published: May 25, 2017   18:04              

Duration: 2+ y
Duties: We wish to recruit a versatile individual to participate in data-driven projects addressing mechanisms by which genome mutations arise and how they influence cell proliferation and survival in response to DNA damaging agents and other stresses. The post-holder will work on collaborative projects based on biological data generated by other group members. There will, however, be opportunities to lead specific project areas in due course, in line with the overall research objectives of the lab
Minimum Requirements: Applicants should have a degree level education in biological sciences including computational biology. The ideal candidate will have prior experience in computational biology, and experience in programming and a solid background in statistical tools are essential. The role holder must also have a strong grounding in biological sciences and good communication skills. Familiarity with analysis of "next-generation" DNA sequencing data would also be highly desirable

Deadline: June 19, 2017 | Published: May 25, 2017   17:53              

Department: Faculty of Health Sciences and Sport
Duration: 1, 5 y        Workload: 100%
Duties: The primary role of the post holder will be obtain, clean and analyze the Eurobarometer data in line with the aims of the study. Data analysis will be by generalized linear mixed effect models. The post holder will also be responsible for researching policy on e-cigarette and tobacco across the European Union in order to derive policy-related variables for use in analysis and will liaise with key international contacts, provided by the study team, to obtain detailed information on the timing of changes in European tobacco control policy. S/he will work closely with the two joint study PIs and the Co-I providing regular updates on study progress
Minimum Requirements: The successful candidate will have substantial experience of quantitative data analysis and of conducting multilevel modelling in secondary data sets. The post holder must be able to work effectively with minimal supervision and use their own initiative to conduct analysis that will meet the aims of the study. The position would suit an outstanding early career academic, with the expectation being that they would contribute to producing high level publications on the topic of the grant during the period of the study

Deadline: June 18, 2017 | Published: May 25, 2017   17:48              

Workload: 100%
Duties: You’ll be able to earn and learn in an apprenticeship role that will give you a real job with real responsibility from day one in a truly global company. We offer a fast-paced environment, where you’ll be providing actuarial and administrative support. You can expect to be undertaking basic data gathering, analysis and modelling. As well as providing support for a range of actuarial activities, including experience studies, research and model development
Minimum Requirements: A minimum of 5 GCSEs (or equivalent) at grade C+ including Maths and English. 280 UCAS points at A level (B+ grade preferred in Mathematics or other highly numerate subjects). To be prepared to study towards the ‘Certified Actuarial Analyst’ qualification, certified by the Institute and Faculty of Actuaries

Deadline: July 1, 2017 | Published: May 25, 2017   15:22              

Department: The Bartlett School of Environment, Energy and Resources
Duration: 4 y +        Workload: 100%
Duties: The post holder will undertake research focussed on developing a new modelling approach within polymer degradation, particularly focussed on modelling degradation processes such as mass transfer and chemical reactions within plastic artefacts in museums, as part of the ERC Starting Grant funded project “COMPLEX: The Degradation of Complex Modern Polymeric Objects in Heritage Collections: A System Dynamics Approach”, in collaboration with Tate and the Museum of London. This will involve developing a model based on partial differential equations that can describe the spatial evolution within the material of the variables characterizing the system e.g. moisture content or the concentrations of organic acids
Minimum Requirements: The post holder should hold a PhD in physics, mathematics, engineering or a related field. They should have experience with mathematical modelling, an understanding of transport phenomena and experience with high-level languages and interactive environments, such as Matlab. They should have the ability to conduct high quality research and a track record of high quality publication in scientific journals

Deadline: June 25, 2017 | Published: May 25, 2017   14:21              

Department: Department of Geography
Workload: 100%
Duties: The Research Assistant will provide assistance mainly in two activities: analysis of mobile and social datasets and design and implementation of machine learning algorithms under the supervision of the Principal Investigator
Minimum Requirements: Educated to A-level standard or equivalent in a scientific related subject. Experience in data manipulation and analysis. Good knowledge of R and Python. Good writing skills for reporting the results of the data analysis. Previous experience of Linux systems. Ability to work collaboratively and as part of a team
Preferred Requirements: Previous experience in a research environment

Deadline: June 8, 2017 | Published: May 25, 2017   14:04              

Department: School of Economics & Finance
Duties: The School of Economics and Finance at Queen Mary University of London invites applications for the post of Professor of Economics. Expertise in one or more of the following areas is sought for this position: Finance, Econometrics, Applied Microeconomics, and Macroeconomics
Minimum Requirements: The successful candidate must have a clear international profile and reputation for excellence. An outstanding record of publications with demonstrable impact in the field, and a well-established academic network are essential requirements. The successful candidate will be expected to contribute significantly to the development of the School’s research strategies, to be active in attracting research income and to play a full role in leadership and supervision of postgraduate students. A proven ability to provide wider leadership at the School, and to engage with government institutions, is essential

Deadline: July 22, 2017 | Published: May 24, 2017   06:28              

Department: UCL Institute of Health Informatics
Duration: 2+ y        Workload: 100%
Duties: Applications are invited for a position as Statistician to work on the Preserving Antibiotics through Safe Stewardship (PASS) project, which is funded by a programme grant from the Economic and Social Research Council (ESRC). The post involves responsibility for analysing large and complex datasets from primary and secondary care
Minimum Requirements: The post-holder must have a PhD in statistics or a relevant discipline with the following core attributes: highly motivated, previous experience of analysing electronic health records, ability to work independently in collaboration with a multi-disciplinary team, and excellent verbal and written communication skills

Published: May 24, 2017   06:26              

Department: UCL Institute of Neurology
Duration: 1+ y        Workload: 100%
Duties: The role of the successful candidate will be to use calcium imaging and photoactivation of genetically defined neurons in the brain stem to study connectivity and function of sub-populations of these neurons. A multiphoton microscope is available for this project
Minimum Requirements: Applicants must have a PhD in Neuroscience and experience in the following: systems neuroscience; rodent models; brain stem motor nuclei; development of models to study brain stem circuits; electrophysiological techniques including stimulation and records including patch clamping; using light activation of individual neurons in combination with calcium imaging and/or electrophysiology; evoking locomotor activity by brain stimulation; kinematic analysis of locomotor activity; 2 photon microscopy; in vivo tracer injections. A history of success with grant funding is also a requirement

Deadline: June 25, 2017 | Published: May 24, 2017   06:26              

Department: UCL Institute of Neurology
Duration: 3+ y        Workload: 100%
Duties: The postholder will be responsible for the statistical analysis of data and the scientific interpretation of data and will provide bioinformatics advice and support to other group members from different disciplines (and in return, will receive advice from other disciplines). S/he will be involved in research on the genomic and clinical data generated within the group, within the broad goals of the current projects, especially with clinical application
Minimum Requirements: Applicants should hold a PhD in Genetics, Statistics, Biostatistics, Epidemiology, Bioinformatics, Computer Science or a closely related discipline, and expert knowledge of working in a Linux server environment. Hands-on, extended experience with scripting and/or programming for bioinformatics is essential, as is expert knowledge of PLINK, GATK, ANNOVAR, VEP, Picard and various NGS data handling tools and experience of handling public repositories such as ENCODE, ExAC, gnomAD, 1000 Genomes, DECIPHER, EVS. Experience in computational genomics and knowledge of pipelines for the analysis of next-generation sequencing data, experience of dealing with large datasets, and previous research experience in genomics or related fields are also a requirement

Deadline: June 15, 2017 | Published: May 24, 2017   06:20              

Department: The Bartlett School of Construction & Project Management
Workload: 100%
Duties: The successful applicant will be expected to apply innovative research tools to the economic analysis of the built environment; to collaborate with research teams and support the School in attracting research funding; to make significant contributions to research in economics and finance, applied to the built environment and construction; to demonstrate impacts on policy and practice via involvement with policy initiatives and knowledge transfer/exchange
Minimum Requirements: The appointee is required to have a PhD in economics, finance, statistics or computing, with a strong background in economics and finance. The successful candidate will also need to have knowledge of research techniques, including economic analysis, data analysis, econometrics, computation modelling and/or statistics, and knowledge of leading edge research in various themes relating to the economics and finance of the built environment; together with demonstrable and practical experience/skills in mathematics/statistics and an ability to understand complex data; and high levels of numeracy and computer literacy, preferably with software or programming skills

Deadline: June 27, 2017 | Published: May 23, 2017   09:25              

Department: Eastman Dental Institute
Workload: 100%
Duties: The main duties involve undertaking and supporting teaching on the clinical research methods module (including biostatistics), to support Masters and Doctoral level postgraduate students and staff with statistical analyses. The post holder will be expected to publish high quality world class research outputs in top ranking scientific journals, and to develop a collaborative programme of oral health services research across UCL and academic partners in the UK and internationally
Minimum Requirements: The successful applicant must have a PhD in an appropriate area. They must have experience in postgraduate teaching experience within a clinical or university setting including experience of teaching statistics and providing statistics support for Masters and Doctoral level research

Deadline: June 6, 2017 | Published: May 23, 2017   08:41              

Department: Civil, Environmental & Geomatic engineering
Duration: 3 y
Duties: This research work is aimed at exploring the use of machine learning techniques to automatically identify assets in captured geometry data. The data can be captured using photogrammetry or LiDAR or a combination thereof. The data can be particularly easily captured from UAVs or even fromhandheld cameras. The costs of such a data acquisition are comparatively low, which makes it possible to repeat them in regular intervals, e.g. bi-weekly
Minimum Requirements: Applicants should have a strong computing science, mathematics or engineering degree (first/upper second). Experience in machine learning, CNN, programming, data analytics and reality capture will be advantageous. Candidates should have excellent communication and presentation skills and will ideally have some relevant previous research and/or industry experience. Candidates should be highly motivated individuals with a want to apply academic research to engineering practice and a desire to gain industry experience as part of the studentship

Deadline: June 30, 2017 | Published: May 23, 2017   07:11              

Workload: 100%
Duties: You will provide principal research support for a work package from the Department of Geography as part of a broader multi-institutional ESRC/NCRM-funded project with academic colleagues at Southampton and Liverpool on ‘Innovations in Small Area Estimation Methodologies. You will provide principal research support for a work package being led by Dr Adam Whitworth from the Department of Geography as part of a broader multi-institutional ESRC/NCRM-funded project with academic colleagues at Southampton and Liverpool on ‘Innovations in Small Area Estimation Methodologies
Minimum Requirements: PhD in Statistics, Social Statistics, Computer Science, Geographic Information Science, one of the Social Sciences or any other discipline with programming and/or statistical components and the ability to use and understand statistical/quantitative data analysis methods

Deadline: June 19, 2017 | Published: May 22, 2017   18:49              

Workload: 100%
Duties: he objective of the post is also to enhance our engagement with our clinical and industrial partners and drive the development towards clinical use. To engage in high quality research into the biofluid dynamics, systemic circulation and computational models. To develop new computational algorithms with the help of Prof Nithiarasu when appropriate. To engage clinical partners and obtain appropriate clinical data in the areas of research to verify and validate models. To present the software in a form that is easy to use in clinical and industrial environment
Minimum Requirements: A Masters degree/PhD or equivalent in Physical Sciences or Engineering (computational). Applicants who are half way through their PhD are welcome to apply. Strong research background in systemic circulation modelling using 1D fluid structure interaction

Deadline: June 20, 2017 | Published: May 22, 2017   16:40              

Department: Institute for Women's Health
Duration: 1, 5+ y        Workload: 100%
Duties: Applicants are invited for an exciting opportunity for a statistician within the EPICure research team. The 2 MRC-funded EPICure studies are national population based evaluations of heath and outcomes following extremely preterm birth. The study is currently analyzing data from a 19 year assessment and setting up an 11 year study
Minimum Requirements: Applicants should have a good first degree in statistics and and a higher degree would be an advantage. Postgraduate experience in statistical techniques and analysis is essential, in particular knowledge and understanding of statistical methods for analysing observational and longitudinal data. The study is analysed using STATA and experience in its use is desirable, as is experience in using RedCap for data collection

Deadline: June 3, 2017 | Published: May 21, 2017   21:40              

Duties: Quantitatively and qualitatively modelling risk. Building new tools. Analysing data. Validating models. Mathematical modelling. Software development. Present solutions, write reports and gather work specifications on project. Build up skills and expertise that can be shared and leveraged within the firm
Minimum Requirements: Minimum Master’s or PhD in Physics, Mathematics, Financial Mathematics, Computer Science or any other related quantitative science with a high mathematical content and with excellent grades. English language proficiency. Possess significant IT knowledge coupled with strong programming skills. Familiar with at least one of the following subjects: mathematical statistics, numerical analysis, simulation techniques (e.g. Monte Carlo), optimisation methods (e.g. simulated annealing), and financial mathematical modelling. Ability to work well in a team. Ability to communicate effectively with peers as well as with senior employees of d-fine and our clients. Work experience in trading, treasury or risk management may be an additional advantage

Published: May 21, 2017   20:07              

Duties: Quantitatively and qualitatively modelling risk. Building new tools. Analysing data. Validating models. Mathematical modelling. Software development. Present solutions, write reports and gather work specifications on project. Build up skills and expertise that can be shared and leveraged within the firm
Minimum Requirements: Minimum Master’s or PhD in Physics, Mathematics, Financial Mathematics, Computer Science or any other related quantitative science with a high mathematical content and with excellent grades. English language proficiency. Possess significant IT knowledge coupled with strong programming skills. Familiar with at least one of the following subjects: mathematical statistics, numerical analysis, simulation techniques (e.g. Monte Carlo), optimisation methods (e.g. simulated annealing), and financial mathematical modelling. Ability to work well in a team. Ability to communicate effectively with peers as well as with senior employees of d-fine and our clients. Work experience in trading, treasury or risk management may be an additional advantage

Published: May 20, 2017   14:59              

Department: Information Services Division
Workload: 100%
Duties: The role holder will be need to build strong working relationships in order to maintain ISD’s metadata repository and business glossary. Technical and business stakeholders should be encouraged and supported to maintain these artefacts themselves using ER/Studio Data Architect and TeamServer
Minimum Requirements: The successful candidate will require considerable data modelling experience for transactional as well as data-warehouse systems (normalized and dimensional models) including the use of standard artefacts/visualisations (e.g. ER-diagrams). The proficient use of industry standard tools such as ER/Studio, ERWIN etc. will allow the candidate to create these artefacts efficiently and maintain relationships between different models and visualizations. The ability to communicate efficiently and lead workshops with SMEs and senior business stakeholders as well as with technical system owners will allow the candidate to investigate, evaluate and classify information structures on conceptual, logical and physical level. Experience using and encourage the use of data modelling, metadata repositories and business glossaries by business and technical stakeholders

Deadline: June 5, 2017 | Published: May 19, 2017   10:32              

Department: Engineering
Duration: 15 m        Workload: 100%
Duties: The research is focussed on progressing manufacturing informatics as a multidisciplinary research theme at the interface between engineering, computer science, data analytics and operations management. The MC-SUITE research project investigates how informatics can be integrated with traditional manufacturing techniques to develop future smart manufacturing systems by bringing togeth. The role holder will be expected to develop new solutions for data filtering, analysis and decision making using data cloud services and experimental testing and validation at partners’ sites
Minimum Requirements: The successful candidate will be educated to PhD level (or about to obtain) or equivalent in engineering, computer science or in a related science field with experience and understanding of the technical areas covered by the MC-SUITE research project. Previous experience with Cloud based services, Hadoop, Apache Spark and R or Python are desirable but not essential. Excellent communication skills, effective time management and ability to work both in a team and independently are essential

Deadline: June 19, 2017 | Published: May 19, 2017   06:50              

Department: School of Social & Political Sciences
Workload: 100%
Duties: You will be responsible for delivering a range of information management and analytical services for the Urban Big Data Centre (UBDC), a national Data Service funded by the Economic and Social Research Council (ESRC) as part of the Big Data Network Phase 2 – Business and Local Data
Minimum Requirements: Qualified in IT or related subject to degree level or equivalent, and/or with postgraduate qualification in IT or related discipline. Knowledge of statistical programming and machine learning applications, e.g. R, SAS, RapidMiner, Weka or related software. Excellent statistical programming, machine learning and related analytics and knowledge discovery skills. Specialist skills in information retrieval or extraction. Excellent written and verbal communication skills and ability to work in team settings with staff from multiple academic disciplines. Proven ability to complete tasks within strict timelines, and be flexible and able to undertake other IT-centred and data management duties as reasonably required by management
Preferred Requirements: Honours degree (SCQF Level 10) in Computer Science. (SCQF Level 12) PhD (completed or near completion) in a relevant discipline. Knowledge of complex, heterogeneous urban data for research. Knowledge of legal aspects of data confidentiality and technical solutions of privacy enhancing solutions. Ability to develop skills in response to technological change, particularly in Big Data analysis and management. Ability to prepare technical proposals and reports. Experience and skills with Big Data analysis and management

Deadline: June 18, 2017 | Published: May 19, 2017   00:20              

Department: Medical Physics and Biomedical Engineering
Duration: 4 y
Duties: This project is centred on the development of new methods for performing high-resolution ultrasound imaging, which could include combinations of optical ultrasound transmission from micro-patterned surfaces and micro-fabricated piezoelectric receiver arrays. There is an opportunity to develop the first hybrid ultrasound imaging probe in which transmission is performed optically and reception is performed electronically. Depending on the student’s interests, the foci could include image/signal processing and/or micro-fabrication techniques
Minimum Requirements: Outstanding students from outside the EU may apply if they have funding to support international fees. Applicants must have or expect to obtain, a UK first class or 2: 1 honours degree or the international equivalent in the appropriate area of physical science. Applicants must be UK students or EU students who will have spent the previous 3 years in the UK. Clear interest in medical physics. Well-developed experimental skills. Sufficient level of mathematics and numerical skills. Creative and critical thinking. Excellent writing and oral communication skills. Self-management and good working habits. Capability to work independently and used to take initiative and Programming skills are desirable

Deadline: June 30, 2017 | Published: May 18, 2017   10:30              

Department: UCL Ear Institute
Duration: 4 m        Workload: 100%
Duties: The overall aim of this project is to understand how stress granules regulate sensory cell survival in the cochlea and to provide novel therapeutic opportunities for preventing hearing loss
Minimum Requirements: The post holder will have obtained a PhD in the area of Auditory Science and have a strong interest in Auditory Biology. The successful candidate will have proven expertise in immunocytochemical methods along with confocal microscopy, having expertise of image analysis and quantification. Knowledge of auditory research function and testing; being able to prepare and present complex information to a wide range of audience is also desirable for this role

Deadline: May 31, 2017 | Published: May 18, 2017   08:48              

Department: School of Life Sciences & Education
Duration: 1, 5 y
Duties: This 18-month NIHR-funded study will use a range of qualitative research methods to explore use of different CVD risk calculators by those delivering NHS Health Checks. How these are used and the implications for clinician and patient perception of CVD risk, patient response, the associated advice or treatment offered by the clinician and patient intentions, will be explored. Video-recorded consultations will be subject to detailed qualitative analysis, with quantitative assessment of content. Novel video-stimulated recall (VSR) methods will then be used for patient and clinician interviews
Minimum Requirements: The successful applicant must be very competent in qualitative research methods, with experience of working with quantitative data and ideally have experience of large research projects, and research involving patients and health professionals. A post-graduate qualification in a relevant area is essential. The successful applicant should also be able to demonstrate good communication skills necessary for effective working with the range of academic and non-academic groups (e.g., health professionals, patients)

Deadline: May 31, 2017 | Published: May 17, 2017   17:02              

Duties: The successful applicant will work with a focused team of developers, biologists and user support personnel to provide a world leading reference genetic variation resource as part of the European Genome-phenome Archive (EGA) project. You will engage in both internal and external (national and international) collaborations, especially the RD-Connect consortium (www.rd-connect.eu) and will have the opportunity to gain expertise in biological ontologies, metadata and scientific data modelling primarily related to research into rare disease
Minimum Requirements: You should hold a bachelor's or higher degree in computer science, computational biology or bioinformatics. You will have: Relevant experience and skills in computational biology, bioinformatics, machine learning, or statistics. Proficiency with: Java, C/C++, R, Python, Perl, and Unix. Experience of international collaborations. Proficient in next-generation sequencing data analysis and variant analysis. Strong communication skills and the ability to work effectively with others. Experience dealing with real-world data problems such as versioning, ensuring reproducibility and traceability

Deadline: June 18, 2017 | Published: May 17, 2017   16:33              

Department: Merchant Venturers' School of Engineering
Duration: 1 y        Workload: 100%
Duties: The successful candidates will work together with a number of academic staff in a team to investigate algorithms and models for analyzing and understanding human activity and behaviour, gait and facial and emotion expression in cluttered and uncontrolled home environments. The research and software development will involve feature detection and tracking, deep learning techniques, statistical modelling and analysis, the use of one or more cameras, and many other relevant topics. The posts involve close collaboration with other SPHERE project personnel – from other work packages within the project, including integration of other sensors, data fusion and data mining – as well as other project partners at other institutions
Minimum Requirements: The right candidate will hold (or be currently in the completion stages of) a PhD degree in Computer Science or Electronic Engineering or a related discipline, in a field related (but not limited) to computer vision, machine learning, statistics or applied mathematics. Candidates should ideally also have experience in any one or more of the following: human, head, and facial component tracking; multi-camera analysis; object detection and recognition; action and event recognition. As well as: have excellent C/C++/Matlab/Python programming and systems integration skills. have a good publication record in computer vision and/or machine learning. be able to conduct research independently. possess good communication and writing skills in English

Deadline: December 3, 2017 | Published: May 17, 2017   16:26              

Department: School of Mathematics
Duration: 1 y        Workload: 100%
Duties: The job duties are mainly to deliver tutorials and other teaching related activities, as agreed with the Head of School and Director of Undergraduate Studies. The successful candidate will be expected to teach mainly tutorial and foundation classes as well as have duties relating to marking etc

Deadline: June 14, 2017 | Published: May 17, 2017   16:22              

Duties: Entwicklung von Strategien und fachliche Konzeption der zugehörigen Methoden und Prozesse bis hin zur professionellen Implementierung. Erstellung finanzmathematischer Modelle bis zur Umsetzung von real-time Schnittstellen. Beratung zu sämtlichen Themen im Bereich Risk & Finance, beispielsweise Kredite und Derivate, Ratingsysteme, Portfoliosteuerung, IFRS und Solvency II
Minimum Requirements: Exzellenter Universitätsabschluss (Diplom/Master/Promotion) in Physik, (Wirtschafts-) Mathematik, (Wirtschafts-) Informatik, (Wirtschafts-) Ingenieurwesen oder weiterer Natur- und Wirtschaftswissenschaften mit entsprechend quantitativ ausgerichteten Vertiefungsrichtungen. Sehr gute IT-Kenntnisse und weit überdurchschnittliche mathematische Fähigkeiten. Hohes Mass an Flexibilität und Belastbarkeit aufgrund der wechselnden Einsatzorte in Deutschland und weltweit. Exzellente Kommunikationsfähigkeiten, Teamgeist und hohe Einsatzfreude. Sehr gute Deutsch- und Englischkenntnisse. Gerne auch bereits (erste) Berufserfahrung

Published: May 17, 2017   15:56              

Department: Division of Medicine
Duration: 30+ m        Workload: 100%
Duties: A research-oriented scientist with strong programming skills is required to join the research team at UCL. The post holder will work as part of a multidisciplinary team responsible for the research and will interact and work under guidance of more senior staff. The primary responsibility of the post holder will be to develop a software framework to be able to fully exploit spatio-temporal synergies in the data of simultaneous PET/MR. The post-holder will also assist with translation and validation of novel analysis methods for clinical research using imaging with multi-modality systems such as SPECT/CT, PET/CT and PET/MR
Minimum Requirements: A good first degree in engineering, computer science, physics or equivalent (2: 1 or higher) and a PhD or equivalent in medical physics, medical image processing or related area are essential. An MSc in a related field e.g. Medical Image Processing or Medical Physics would be desirable. Substantially demonstrated skill in computer programming (C++ required but ideally also Matlab, Python and shell scripting) and relevant software libraries used for medical imaging (e.g. STIR, Gadgetron, ITK, NifTk) is also required

Deadline: June 16, 2017 | Published: May 17, 2017   15:14              

Department: School of Management
Duration: 9 m        Workload: part-time
Duties: Teaching Assistants (TAs) will supplement academic lectures through marking of coursework and exams and/or dissertation supervision. Associated duties may include the delivery of small group teaching and associated duties for students taking modules in Mathematical Foundations of Management, Data Analytics or Computational Thinking
Minimum Requirements: The post holders will be educated to degree level, or have equivalent qualifications or experience, having one or more of the following backgrounds: A numerate undergraduate degree (eg a degree in mathematics/engineering/science/economics) with knowledge of single and multi-variate calculus, linear algebra, statistics and probability theory. A statistics and data analytics background coupled with experience of using the R programming language, and, ideally, experience of using Tableau. A computing background (eg degree in computer science) or other programming background, with experience of using the Python programming language

Deadline: June 14, 2017 | Published: May 16, 2017   15:29              

Department: Computer Science
Duration: 2+ y        Workload: 100%
Duties: rocessing and analysing structural and functional neuroimaging data, as well as behavioural/questionnaire data; Developing modeling strategies (e.g. multivariate statistical frameworks) to combine data from these different sources and investigate the relationship between patterns of brain function/structure and patterns of behavior/symptoms; Exploring ways of integrating longitudinal data into the models and stratifying/characterizing subgroups of subjects; Validating the models on a large sample of adolescents and young adults
Minimum Requirements: The candidate should have a PhD (or will shortly be assessed for a PhD level qualification) in Neuroimaging, Imaging Neuroscience, Machine Learning, or related field along with a first degree in a subject with a strong engineering, computer science or mathematics/statistics component

Deadline: July 8, 2017 | Published: May 16, 2017   14:57              

Duration: 7.5 m        Workload: 100%
Duties: The successful candidate is expected to use analytical optimisation and simulation techniques to improve multimodal transport, port operations and port access. The researcher is expected to work closely with the industrial partners and the principal investigator
Minimum Requirements: Has experience in optimisation and/or computational intelligence. Has publications in reputable journals or conferences in the area of operational research Papers in journals/conferences in relevant areas. Has experience in report writing, literature review and external engagement. Has experience working in groups. A degree in Engineering or Computing or Mathematics or other relevant areas. Good programming skills, with experience in developing a complete software
Preferred Requirements: Has extensive experience in operational research. Has experience in assisting with administrative work such as meeting organising, report writing, literature review and external engagement. A degree with good grades in operational research or optimisation/simulation or computational intelligence. Excellent programming skills with strong experience in developing complete software packages

Deadline: June 11, 2017 | Published: May 15, 2017   23:12              

Department: Engineering
Duration: 3 y
Duties: To monitor and effectively treat people with mood disorders (e.g. depression and bipolar disorder) there is a need for methods of tracking mood and changes in behaviour. This 3 year PhD position is an opportunity to contribute to this research area by investigating appropriate monitoring methods via their design and implementation

Published: May 15, 2017   20:13              

Duration: 1. bis 3. November 2017
Duties: 3-tägiger Workshop mit Vorträgen zur Finanzmathematik, einem Kundenprojekt unter Ihrer Beteiligung und Erfahrungsberichten aus unserer Consulting-Praxis

Deadline: September 11, 2017 | Published: May 15, 2017   15:49              

Duration: 5 y        Workload: 100%
Duties: By pursuing a multiscale (organ to organelle) and multi-omics approach with a range of mass spectrometry imaging (MSI) techniques (MALDI, DESI, SIMS and ICP-MS), we aim to deepen our understanding of the interplay of genes, proteins, metabolites and the role of the immune system in cancer development and growth. As Cancer Research UK has stated “this underpins almost everything we do, from the discovery and development of new therapeutics and diagnostics, to the design of new treatment and prevention strategies”
Minimum Requirements: Successful candidates will have completed a degree and Ph.D. training in biomedical, physical or computational sciences

Deadline: July 4, 2017 | Published: May 15, 2017   15:08              

Department: Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences
Duration: 2 y        Workload: 100%
Duties: As a Trial Statistician, you will contribute to the design, analysis and presentation of results of collaborative clinical research projects under the supervision of a senior statistician. This will involve interacting directly with researchers, helping to ensure the completion and delivery of projects within deadlines, and contributing to maintaining the projects’ scientific quality and integrity. You will also undertake methodological research coordinated within the unit and promote your own continuing professional development
Minimum Requirements: You will have a postgraduate degree in statistics, a substantial part of which relates to medical statistics, or equivalent experience. Resourceful and self-motivating, you must be familiar with key aspects of study design and analysis, and aware of the latest statistical techniques. Good communication skills, the ability to grasp clinical research problems and identify hypotheses to be tested, and good project management skills are essential

Deadline: June 15, 2017 | Published: May 15, 2017   12:14              

Workload: 100%
Duties: You will be expected to lead inter-disciplinary research initiatives in Public Health, resulting in publications in leading international peer-reviewed academic journals, building on existing public health research collaborations such as LiLaC with Liverpool University and the NIHR School for Public Health Research. You will also contribute to education and course design on the blended PhD in Public Health, supervising and attracting PhD students. You will have an established academic track record in Public Health research and have potential and enthusiasm for research leadership
Minimum Requirements: PhD in Public Health, or a cognate discipline, from a reputable University. A distinguished international research profile in Public Health as attested by: sustained volume and quality of publications in high quality international journals and citations; track record of securing external funding and managing research projects; engagement with international research networks; other strong evidence of esteem indicators (such as editorships of journals, editorial review boards, invitations to address international or national conferences)

Deadline: June 5, 2017 | Published: May 14, 2017   11:47              

Department: Institute for Analytics and Data Science (IADS)
Workload: 100%
Duties: Duties will include undertaking high quality independent and collaborative research that meets REF standards, applying for grants, contributing to public engagement and impact, developing interdisciplinary collaborations within IADS, supporting the research culture of the institute, ssupervising students, and supporting IADS administratively. You will also undertake a limited amount of teaching, as appropriate to a research-based post, to enable you to meet the requirements of probation, and to provide a good foundation in higher education practice for the Fellow's ongoing career
Minimum Requirements: We wish to add to the Institute's capability to undertake world class research and development work as well as open up and develop new research activities in this area that will become recognized as outstanding and internationally leading. We seek highly motivated, enthusiastic and professional candidates who have excellent knowledge of computer science, artificial intelligence, machine learning or text analytics, and possess strong software engineering and programming skills in high level programming languages such Java, C, Perl and Python. A PhD in Computer Science, Artificial Intelligence, Data Science, Statistics, Computer Engineering or related discipline is essential

Deadline: June 12, 2017 | Published: May 14, 2017   11:14              

Workload: 50%
Duties: The successful applicant will support students across a range of secondary mathematics modules on undergraduate and postgraduate courses
Minimum Requirements: This post holder will have experience of working in the UK secondary education sector and be able to offer specialist academic and/or professional expertise in delivering the secondary mathematics curriculum. The person appointed will hold a mathematics related honours degree (or equivalent). A secondment proposition would also be considered
Preferred Requirements: Experience in leading and developing modules and courses at HE level would be advantageous

Deadline: May 29, 2017 | Published: May 14, 2017   11:12              

Duration: Permanent        Workload: 100%
Duties: Software development. Modify medium to complex code and develop medium to highly complex bio-application code independently within or outside various teams using applicable technology. Manage software development projects, including QA and code release. Test and fix own defects and other low to highly complex defects. Schedule and present own code specifications and programming logic at code reviews as well as being the primary contributor in others’ code reviews. Contribute to software development documentation and tutorials. Contribute to other research activities at the Crick as directed. Perform any other duties or functions consistent with the position, nature of the post and as determined by the AIM Team Lead
Minimum Requirements: Software engineering and data science. Biological data analysis workflow systems. Data analysis, data mining, information retrieval. Experimental performance evaluation of parallel and distributed computing systems. Distributed data management and Cloud data management
Preferred Requirements: Experience with Spark or other modern approaches for high performance computing; Experience with cluster middleware; Experience in Deep learning (tensorflow, Caffe, etc.); Experience in parsing and extracting data from multiple bioinformatics sources; Understanding of web systems (Tomcat, Jboss, Spring) and various workflow systems; Programming in SQL/NoSQL

Deadline: June 12, 2017 | Published: May 14, 2017   11:03              

Department: Electrical & Electronic Engineering
Workload: 100%
Duties: Applications are invited for the academic post of Assistant/Associate Professor within the Department of Electrical & Electronic Engineering at the University of Nottingham Malaysia Campus
Minimum Requirements: Candidates should have a PhD in a field related to mechatronics, robotics or equivalent. The successful candidate will contribute to the department in terms of teaching (postgraduate and undergraduate levels) and administrative work
Preferred Requirements: Post-doctoral academic or industrial experiences are desirable but not necessary

Deadline: June 5, 2017 | Published: May 13, 2017   18:01              

Department: School of Management
Duration: 1 y        Workload: part-time
Duties: The Research Assistant will be involved with several studies and professors working with empirical data from a variety of contexts (e.g. archival data on entrepreneurship and innovation; personality and social network data from surveys of organizations; experimental data on individual creativity) and different aspects of the research process, literature reviews, study design, data collection, and data cleaning. Assisting in studies that draw insights from management, strategy, social psychology, and economics research. Assisting with data collection and cleaning. Assisting with literature searches and review. Actively following and promoting UCL policies, including Equal Opportunities
Minimum Requirements: An undergraduate degree in a social science, engineering, statistics, and/or computer science. Experience with data management and academic research
Preferred Requirements: A postgraduate degree (MSc/MA) in a social science, engineering, statistics, and/or computer science. A background in programming online tasks and websites for research studies (e.g., Qualtrics or webscraping)

Deadline: June 14, 2017 | Published: May 13, 2017   14:15              

Workload: 100%
Duties: Responsible for all aspects of our data, its recovery, storage, usage, sharing, access and archiving. Lead software development projects that support the DIL and its collaborators, national and international. To manage and oversee the informatics requirements of multiple research projects, set the overall software design principle, provide a considerable level of technical expertise to the projects, and will be responsible for selecting solutions and driving them through to practical realisation
Minimum Requirements: Bachelor’s degree (or equivalent) in computer science, have a strong track record of data management and programming in a scientific environment, experience in development, roll-out and support of software systems, extensive experience in object-oriented programming and proficiency in a variety of programming languages
Preferred Requirements: A PhD in a relevant subject area and experience of line management and financial planning in an IT context

Deadline: June 12, 2017 | Published: May 13, 2017   00:51              

Department: The Department of Automatic Control and Systems Engineering
Duration: 1 y        Workload: 100%
Duties: The post holder will perform data analysis, collaboratively with industrial partners, to develop use cases and requirements for the system, which will be used to direct the development of analysis and reasoning software modules to determine the value of transferring and analysing data. Work with Centre’s multi-disciplinary team to research and develop innovative technologies in support of the Centre’s Control and Health Management Research Vision
Minimum Requirements: A good first degree in a relevant area along with a PhD or equivalent experience in a relevant area (forexample industrial work experience)

Deadline: June 12, 2017 | Published: May 13, 2017   00:45              

Department: The Department of Mathematical Sciences
Workload: 100%
Duties: To establish a sound research base within the Department in order to pursue individual and collaborative research of high quality consistent with making a full active research contribution to the Department. To give lectures, seminars, tutorials and other classes, and to supervise project work by undergraduate and postgraduate students as appropriate. To respond constructively and in a timely manner to student feedback on teaching
Minimum Requirements: A PhD in Mathematical Finance, with at least some years of postdoctoral experience

Deadline: June 9, 2017 | Published: May 13, 2017   00:41              

Department: The School of Mathematics and Statistics (SoMaS)
Duration: 1 y        Workload: 100%
Duties: TACDAM is a 2 year Innovate UK/EPSRC co-funded project that will remove the final hurdles for the adoption of additive manufacturing in automotive applications in a staged low-mid-high volume approach. The project is shared between SoMaS and the Department of Automatic Control and Systems Engineering (ACSE). In this project your main task would be centered around the analysis of printability issues and fragility by taking a geometric point of view to these questions, such as using computational geometry
Minimum Requirements: A good honours degree (or equivalent experience), and/or be about to obtain, a PhD in Mathematics, Computer Science or a field of engineering

Deadline: June 13, 2017 | Published: May 13, 2017   00:31              

Duties: Quantitatively and qualitatively modelling risk. Building new tools. Analysing data. Validating models. Mathematical modelling. Software development. Present solutions, write reports and gather work specifications on project. Build up skills and expertise that can be shared and leveraged within the firm
Minimum Requirements: Minimum Master’s or PhD in Physics, Mathematics, Financial Mathematics, Computer Science or any other related quantitative science with a high mathematical content and with excellent grades. English language proficiency. Possess significant IT knowledge coupled with strong programming skills. Familiar with at least one of the following subjects: mathematical statistics, numerical analysis, simulation techniques (e.g. Monte Carlo), optimisation methods (e.g. simulated annealing), and financial mathematical modelling. Ability to work well in a team. Ability to communicate effectively with peers as well as with senior employees of d-fine and our clients. Work experience in trading, treasury or risk management may be an additional advantage

Published: May 12, 2017   13:08              

Department: Security and Crime Science
Workload: 100%
Duties: Applications are invited for a Reader post to contribute to the Department’s developing programme of research and teaching in security and crime science, and to the work of the Dawes Centre for Future Crime at UCL. This ongoing post will contribute to our plans to build capacity in data science as it relates to crime and security. The appointee will be expected to undertake high quality research within his/her own specialist field which will contribute to the research standing and culture of the Dawes Centre for Future Crime at UCL and the Department more broadly
Minimum Requirements: Candidates should have a PhD in Data Science or a cognate discipline; a proven track record of high quality publications; and a demonstrated ability to win grant funding. Experience of analysing big data sets and conducting research which feeds into professional practice and policy-making will be an advantage. A background in crime and security is not essential as long as there is the commitment and potential to move into this area

Deadline: June 7, 2017 | Published: May 11, 2017   20:44              

Department: The Mathematical Institute
Workload: 100%
Duties: The successful candidate will undertake high quality independent research involving mathematical modelling, provide lectures and classes, and contribute to the CDT’s management, details of which are listed in the Further Particulars
Minimum Requirements: With a doctorate in mathematics or a related discipline, the successful candidate will be expected to have an excellent publication record in accordance with their career status and evidence of the ability to devise and carry out an independent programme of research. They will also demonstrate an aptitude for teaching and an ability to lecture at an appropriate level and in an engaging and stimulating manner, have sufficient specialist knowledge to carry out high-quality research and supervise research projects, together with experience and competence in administration

Deadline: June 16, 2017 | Published: May 11, 2017   15:26              

Workload: part-time
Duties: The Centre Administrator assists the Director with day to day running of the Centre, administers the budget - ensures that all payments on the project are processed and correct, and that the fund is not overspent. The Centre Administrator also arranges the course and exam timetables and does all exam administration. The LTCC exams are administrated independently from UCL. The Centre Administrator has a key role in liaising with partner universities including Co-Investigators, lecturers, graduate students, staff of the Department of Mathematics, to ensure the smooth running of the Centre
Minimum Requirements: Candidates should meet a minimum education requirement of 5 GCSEs at Grade C or above (including Mathematics and English Language) or equivalent and have a high level of proficiency with standard office software MS Word, Excel, web publishing software, e-mail and e-calendars. Candidates should also have previous experience as an administrator which would enable them to carry out the duties of this post, and experience with online systems/databases. The post holder must be efficient, organised, pay attention to detail and have good communication skills

Deadline: May 28, 2017 | Published: May 11, 2017   12:50              

Department: Medical Physics and Biomedical Engineering
Duration: 1 y +        Workload: 100%
Duties: The Translational Imaging Group invites applications for a Robotics Software Research Associate and Senior Research Associate with experience in Image-Guided Robotic Micro-Surgery. The Post-Doctoral Research Associate (PDRA) will be involved in the design of a next generation multi-arm flexible robot with on-board imaging, and, more specifically, the robotics software aspects of the project
Minimum Requirements: Candidates must have a PhD, equivalent qualification, or equivalent industrial experience in computer science, robotics engineering, software engineering, biomedical engineering, or closely related field. Candidates must possess a first or upper second undergraduate degree or equivalent in Mathematics, Engineering, Physics, or related subject, and must demonstrate excellent engineering and communication skills. A strong publication record is expected. All candidates must have demonstrable experience of developing software for robot design, control, and path-planning, preferably, but not necessarily, in an image-guided robotic surgery context
Preferred Requirements: Familiarity with flexible robots and their modelling is highly desirable

Deadline: June 11, 2017 | Published: May 11, 2017   12:31              

Workload: 100%
Duties: The post holder will contribute to the design of a range of experiments in relation to the above described biomedical data science and medical informatics project. They will be involved in a range of theoretical work, software development and empirical activities, or to perform biological validations of computational predictions by running esiRNA or CRISPR library based experiments. The postholder will set up and run empirical activities (to include data collection, experiments, program building etc.) in consultation with the Principal Investigator, ensuring that experiments are appropriately supervised and supported
Minimum Requirements: The successful candidates will hold a PhD, or will shortly be assessed for a PhD in Bioinformatics or related discipline and have knowledge of one or more of the following: bioinformatics, medical informatics, algorithms, statistics, machine learning, programming in C, C++, a scripting language, Matlab, using a parallel computing environment, scientific computing, data analysis, graph and complexity theory

Deadline: June 10, 2017 | Published: May 11, 2017   11:56              

Department: Public Health and Primary Care
Duration: until 30th April 2020        Workload: 100%
Duties: The two main responsibilities of this role will be (i) to design and implement analyses to investigate potential causal pathways ("phenome scans" and "Mendelian randomization" analyses) for genetic, biochemical and lifestyle data in relation to cardiovascular disease, and (ii) to provide support to a programme of work developing new statistical methods in this area. Variables methods and applied investigators wanting to conduct studies using Mendelian randomization
Minimum Requirements: Masters or PhD in Statistics or a relevant subject or be in the final stages of obtaining their PhD or have equivalent experience. Good knowledge of statistical theory, statistical software and programming (preferably in the R statistic software environment)

Deadline: June 6, 2017 | Published: May 11, 2017   11:54              

Department: Medical Physics and Biomedical Engineering
Duration: 1+ y        Workload: 100%
Duties: The Post-Doctoral Research Associate (PDRA) will be involved in the development of a next generation multi-arm flexible robot with on-board imaging and sensing, and, more specifically, the exteroceptive sensing aspects of the project. The team’s final aim is to develop a flexible robot to facilitate novel interventions to ocular structures, including retinal stem-cell delivery and thrombolytic drug deposition. The PDRA can emphasize on development of force and shape sensors, their integration, and the translation of the developed approaches to the benchtop system. Depending on background and aspirations, the PDRA can investigate new materials that increase robot performance
Minimum Requirements: Candidates must have a PhD, equivalent qualification, or equivalent industrial experience in mechanical engineering, biomedical engineering, chemical engineering, or closely related field. Candidates must possess a first or upper second undergraduate degree or equivalent in Mathematics, Engineering, Physics, or related subject, and must demonstrate excellent engineering and communication skills. A strong publication record is expected. All candidates must have demonstrable experience of microelectronics system design, modelling, and development, preferably, but not necessarily, in an image-guided robotic surgery context. Familiarity with force sensing and flexible electronics is highly desirable. Experience with relevant Computer-Aided Design software (e.g. Solidworks) and scientific computing platforms (e.g. Matlab/Simulink) is necessary

Deadline: June 11, 2017 | Published: May 11, 2017   07:01              

Department: School of Electronic Engineering & Computer Science
Duration: 2 y        Workload: 100%
Duties: Applications are invited for a Postdoctoral Research Assistant position on Privacy Protocols and Machine Learning aspects of the EPSRC Databox Project, with a particular focus on designing, building, and implementation of efficient and scalable privacy protocols and machine learning algorithms, in conjunction with the Databox system, and supporting the applications through the deployments and studies
Minimum Requirements: The ideal candidate will have a high level of proficiency with applied machine learning and interest/expertise in privacy protocols, preferably with expertise in one or more of the following areas: conducting studies with IoT and/or networked systems, conducting studies with human subjects (e.g. HCI user studies, evaluations of interactive systems, app-based studies, data mining experiments, etc.) is desired. Candidates must have great knowledge of programming, app development, data mining. The successful candidate should have a PhD or DMA equivalent degree in one of the following: Computer Science, Electronic Engineering, Mathematics. Knowledge of statistical analysis methods and/or experience with relevant statistical software, familiarity with qualitative analysis methods for human studies, and the ability to design apps and/or work with external APIs such as social media, sensors (smartphone/IoT) would be an advantage

Deadline: June 18, 2017 | Published: May 11, 2017   01:17              

Department: The Department of Epidemiology and Biostatistics
Duration: 3 y        Workload: 100%
Duties: The successful candidate will be a part of the ITMAT Data Science Group working at the interface of molecular epidemiology, computational biology and biostatistics ITMAT data science team which is a talent pool to solve complex scientific problems through computation (the efficient application of existing approaches, the integration of software and hardware architectures, the development and application of new methods and the production of sustainable software)
Minimum Requirements: A strong background in biostatistics and/or computational biology
Preferred Requirements: Experience of statistical analysis of clinical/omics data is desirable along with software/database development experience

Deadline: June 8, 2017 | Published: May 10, 2017   22:43              

Workload: 100%
Duties: Review of current technology and preparation of a development roadmap. Data gathering, refinement and assessment. Machine learning algorithms developed, techniques refined and tested. Development of real-time web analytics, recommender systems and reinforcement learning. Develop a suitable Test Suite. Develop neural sampling methods. Embedding a new machine learning capability and statistical modelling into a live web platform
Minimum Requirements: BSc in Computer Science or a related discipline. BSc in Computer Science or a related discipline

Deadline: June 4, 2017 | Published: May 10, 2017   20:56              

Department: Breast Cancer Research Bioinformatics Group
Duration: 3 y        Workload: 100%
Duties: You will work among a team of inter-disciplinary bioinformaticicans who are experts in NGS-data analysis, machine learning and software development; and therefore offering unique training opportunities. Your work will focus on the development and validation of hypotheses, and to generate molecular markers of breast cancer. The work will include application of existing tools and method development using in-house (as well as publicly available) next generation sequencing datasets such as Exome, Targeted and Whole genome sequencing, RNA sequencing and Hi-C datasets
Minimum Requirements: Applicants should hold a degree in a computational subject, have programming and scripting experience, and must have basic knowledge of biology. It is essential to hold a post-graduate qualification in bioinformatics/biostatistics/computational biology or have gained significant experience within bioinformatics/biostatistics role/s
Preferred Requirements: Additional experience in phosphoproteomic platform or kinome activity analyses will be an advantage

Deadline: June 8, 2017 | Published: May 10, 2017   11:13              

Department: Department of Behavioural Science and Health
Duration: 2, 5+ y        Workload: 100%
Duties: The successful post-holder will chiefly work to develop and implement analysis plans using healthcare and health survey data of relevance to diagnostic and treatment care pathways and outcomes for cancer patients
Minimum Requirements: Applicants must have an under-graduate degree in medical statistics or relevant quantitative disciplines (such as physics, mathematics, or econometrics), a Master’s in Medical Statistics or Healthcare Epidemiology (or equivalent quantitative disciplines – see above), have good relevant knowledge and experience of command-based statistical software. They should possess excellent oral and written communication, an ability to communicate complex statistical concepts to non-statisticians. Relevant analytical work experience in academic research departments, or Public Health England/NHS, or relevant sectors of the health industry is desirable

Deadline: May 31, 2017 | Published: May 10, 2017   06:30              

Department: Mathematics
Duration: 9+ m        Workload: 100%
Duties: The Department of Mathematics of UCL invites applications from candidates for a Teaching Fellow post. The successful candidate will be expected to contribute to the teaching of mathematics at undergraduate level, including lecturing and examining of courses, project supervision and giving tutorials
Minimum Requirements: The successful candidate will be able to demonstrate teaching ability in mathematics at undergraduate or master level. They are expected to have excellent oral and written communication skills

Deadline: June 12, 2017 | Published: May 10, 2017   06:24              

Duration: 1 y        Workload: 100%
Duties: You will design the competition by implementing a range of consultation mechanisms, including interviews, online surveys, focused workshops, and idea-sourcing and devising a process by which the collected feedback is translated into high-impact data challenges. You will help manage the competitive call, including the call announcement, its documentation, preparing the platform for submissions, running webinars, developing training for applicants, helping organise hackathons, and managing the review of the proposals and interviews of the shortlisted companies. You will help promote the project by contributing to specific outreach events and advise startups selected for funding when they are if their idea is in your area of interest
Minimum Requirements: You should have a PhD* in Computer Science or a related field or equivalent work experience. In particular, expertise in one or more of the following areas is essential: data science (in particular, topics around data sharing, data governance, data protection), open data, Big Data, data-driven innovation. In the same time, the position requires a candidate with outstanding time management, organisation, and collaboration skills

Deadline: June 6, 2017 | Published: May 8, 2017   19:28              

Workload: 100%
Duties: We are seeking an outstanding individual to take a leading role in developing and extending our thriving methodological research programme. This is an exciting opportunity for an internationally established biostatistician to play a leading role in the largest UK academic centre for medical statistics. The Professor role will provide academic leadership at the most senior level. It will enhance the academic standing and financial sustainability of the School by: securing high quality research funding; publishing research of the highest quality; developing and delivering high quality educational programmes; contributing to external knowledge translation and enterprise
Minimum Requirements: Candidates will have a PhD in a relevant field and strong quantitative skills as well as an established international reputation and a considerable record of research and publication in biostatistics. The role will require a high level of expertise and understanding of statistical methods. The successful candidate will be able to demonstrate the ability to obtain major research funding and leading a multidisciplinary team whilst being able to communicate complex methods to a non-specialist audience. Teaching and research degree supervision experience are both essential

Deadline: July 14, 2017 | Published: May 8, 2017   15:10              

Department: School of Engineering
Workload: 100%
Duties: Plan and conduct assigned research individually or jointly in accordance with the project deliverables and project/group/School/College research strategy. Contribute to the acquisition, set up, maintenance and integration of experimental apparatus, drill tool prototypes, drilling or robotic testbeds, computational kit, or in setting up theoretical models and analysis strategies. Document research output including analysis and interpretation of all data, maintaining records and databases, drafting technical/progress reports and papers as appropriate
Minimum Requirements: Working towards post-graduate qualification such as a Masters (Scottish Credit and Qualification Framework level 11) or PhD (Scottish Credit and Qualification Framework level 12). Or Equivalent professional qualifications in relevant academic/research discipline, and experience of personal development in a similar role. Sufficient relevant research experience (or equivalent) appropriate to an early career researcherю

Deadline: June 4, 2017 | Published: May 7, 2017   03:10              

Duties: Tutoring in Mathematics, Statistics, Computer Science, Physics, Engineering, Chemistry, Biology, Languages & TOEFL, Economics, Calculator Technical Assistance, GMAT & SAT, Others; you pay 100 CHF, Euro or US$ for your advert to appear on www.all-acad.com/Tutoring for one year

Published: May 6, 2017   15:27              

Department: Division of Biosciences
Duration: 1+ y        Workload: 100%
Duties: We are seeking a talented postdoctoral research associate to investigate the genetic architecture of obesity and diabetes in animal models of these important human diseases. The principal duties involve the statistical genetic analysis of data arising from a study of obesity and diabetes in a population of outbred heterogeneous stock (HS) rats. The data comprise over 20 obesity and diabetes traits, transcriptome data from liver and adipose tissue and genome-wide genotype information collected in these animals. The analysis will use statistical genetic methods, previously developed by our group (Mott et al 2000 PNAS, Yalcin et al 2005 Genetics, Durrant and Mott 2011 Genetics) and others (eg Gatti et al 2014) to find regions of the genome that affect outcomes related to diabetes and obesity. Specifically, this person will identify quantitative trait loci (QTL) for both phenotypic and transcriptome data in order to determine the gene networks which correlate with disease
Minimum Requirements: The successful applicant should have relevant scientific education (PhD degree in Biostatistics, Computational Biology, Statistical Genetics or related field), preferably with a publication track record. Knowledge of applied statistics using R and programming experience is necessary, as well as good written and oral communication skills

Deadline: June 7, 2017 | Published: May 6, 2017   14:43              

Workload: 100%
Duties: The position will require teaching in the veterinary undergraduate programme and the MSc Veterinary Microbiology, and you will be expected to act as a module leader for a relevant module. Epidemiology, evidence based veterinary medicine and veterinary public health are promoted to our students across the curriculum, as we aspire to inculcate our students with an appreciation of the principles of these disciplines in all aspects of their future professional lives
Minimum Requirements: You will demonstrate strength in research through the application of biostatistics and quantitative epidemiology. This experience may be in animal health or another field; just demonstrate to us how your skills may fit with our team and how you would contribute to the School of Veterinary Medicine

Deadline: June 1, 2017 | Published: May 6, 2017   10:53              

Duration: Permanent        Workload: 100%
Duties: You will contribute to the development and delivery of the School's full time, part time and other specialist courses in the area of mathematics and related subjects through a range of approaches. This will include lectures, tutorials, seminars, laboratory classes, on-line and distance learning and delivery overseas with international partners
Minimum Requirements: An opportunity has arisen for an individual with a good honours degree in an appropriate subject, a PhD in a relevant discipline, and membership of relevant professional bodies to contribute to teaching, research and professional activity in the area of mathematics. The ability to contribute to teaching and research at a range of levels i.e. undergraduate/postgraduate is essential, as well as being able to adopt a range of different teaching approaches and styles. You must have a proven track record in an area of mathematics and be able to teach the subject at all levels from foundation to postgraduate. You must have a flexible approach to working to include evening, weekend and off-site delivery

Deadline: June 5, 2017 | Published: May 6, 2017   10:02              

Workload: 100%
Duties: The Mathematical Institute proposes to appoint an Associate Professor, or Professor, of the Mathematics of Data Science. The main duties of the post are to carry out, disseminate the results of, obtain funding for, and supervise research at a high international standard in the mathematics of data science, to teach a range of topics in mathematics via lectures, classes and tutorials, and to perform administrative and pastoral functions associated with teaching and research
Minimum Requirements: The successful candidate must have a doctorate in mathematics or closely related subject and a record of outstanding research in data science. The appointee will be expected to have the ability to teach effectively over a wide range of topics in the undergraduate mathematics syllabus

Deadline: June 5, 2017 | Published: May 6, 2017   09:59              

Department: Nottingham Clinical Trials Unit
Duties: The Nottingham Clinical Trials Unit (NCTU) is seeking to recruit two high calibre researchers (this post, and a further Associate Professor post in Clinical Trials & Translational Research) with a strong national reputation in clinical trials research. It offers an exciting opportunity for the post holders to play a key role in strategic development of the unit and contribute to the development of the Biomedical Research Centre, and to make a substantial contribution to establishing the NCTU and Nottingham an international centre of excellence in clinical trials and translational research

Deadline: June 6, 2017 | Published: May 6, 2017   02:34              

Workload: 100%
Duties: Your goal is to strengthen KMi’s international research reputation and in particular pursue a robust and innovative research agenda in one or more of these strategic research areas: Data Science (Machine Learning, Linked Data Analytics, Big Data, Data Visualization, Blockchain Technologies); Internet of Things (Smart Objects, Wearable Computing, Ambient Intelligence, Sensor Networks, Smart Cities); New Media Technologies (New Media for Collaboration and Learning, Interfaces, Augmented Reality, Novel Interaction Techniques)
Minimum Requirements: PhD and at least 5 years post-doctoral experience in Computer Science, Cognitive Science, Human-Computer Interaction, or other disciplines relevant to Knowledge Media, with evidence of an international reputation

Deadline: June 12, 2017 | Published: May 6, 2017   01:46              

Workload: 100%
Duties: To work with the R&D team on a variety of tasks including: Advanced image analysis algorithms, e.g. from Machine Learning, time series analysis; Performance benchmarking on different computing platforms. To work with the Applications team on a variety of tasks including: Applying newly implemented techniques to a range of use cases and image data types; To assist in the development of automated systems and processes to produce value added products for specific application sectors
Minimum Requirements: Relevant degree disciplines: Computer Science, Computer Systems Engineering, Information Technology, Maths, or related subjects

Published: May 6, 2017   01:03              

Duties: from all fields of academia and industry (Mathematical Organisations, Historical Organisations, Medical professional bodies, journals, academic institutions, and others) for a long term partnership in fostering our leading job board. Your benefits: Revenue share of 50 % per job posted with your help; This share can also be used for private companies that are members of your organisation to give them substantial discounts for posting jobs on our job board. We handle all administration, billing, legal issues, etc

Published: May 5, 2017   00:02              

Department: Science
Duties: The newly established National Network for Excellence in Mathematics has the aim of improving standards of mathematics education in schools and colleges throughout Wales. The NNEM is managed by a Board consisting of representatives of schools and colleges, Regional Educational Consortia and HEIs, and is funded by the Welsh Government. One of the key strategic priorities for the NNEM is the development of an evidence eco-system, using a network of teacher-researchers to develop research into mathematics education, with a view to providing a solid foundation for evidence-based teaching practice
Minimum Requirements: Educated to degree level or equivalent. Willingness to work towards an Association for Project Management (APM) qualification. Willingness to work towards APM membership. Experience in managing and monitoring project finances to ensure that the project is delivered within budget and achieves value for money. Experience in creating a detailed project plan on a project with limited complexity and then managing and monitoring the plan to ensure successful completion of activities to achieve the required quality, timescales and budget targets. Experience of identifying risks and planning, implementing and monitoring responses to those risks on a complex project. Experience of managing and influencing stakeholders on a project of limited complexity
Preferred Requirements: The ability to communicate in Welsh. A degree in Mathematics or other STEM subject. Experience of working in the Higher Education environment and dealing with stakeholders in the HEI environment. Qualified Teacher Status and/or experience of working in the school or education consortia environment. Experience of writing proposals and submitting bids to funding bodies. Demonstrated commitment to personal and professional career development. Understanding of Education policies in Wales and in mathematics education in particular. Basic knowledge of mathematical typesetting, e.g. LaTex or MathsQuill

Deadline: June 1, 2017 | Published: May 4, 2017   20:47              

Department: Geography
Duration: 9+ m        Workload: 100%
Duties: Research Associate position is available within the EPSRC-funded project "MACACO" in the lab of Dr Mirco Musolesi at University College London. The goal of this project is to exploit context information such as location, sensor data and user-generated content to design the next generation of intelligent ubiquitous systems. This is an exciting opportunity for conducting ground-breaking research at the interface of ubiquitous computing, data science and machine learning
Minimum Requirements: To apply you must hold a PhD (or be close to its completion) in the areas of Computer Science, Data Science, or related disciplines. Also, you should have demonstrated your research competence through high-quality and high-impact publications in top conferences and journals in one (or more) of the following areas: ubiquitous computing, data science, machine learning, and/or applied mathematics/mathematical modelling (for example in network science)

Deadline: June 4, 2017 | Published: May 4, 2017   06:22              

Department: Computer Science
Duration: 6 m        Workload: 100%
Duties: The Senior Research Associate will join the Programming Principles, Logic And Verification Group (PPLV). Research in the PPLV group spans theory and practice, including logic, semantics, language design, program analysis, program verification, systems verification, systems modelling, compilation, and theorem proving
Minimum Requirements: We are looking for someone with experience in semantics of verification, programming languages, and theory. Candidates should hold a first degree in Computer Science or Mathematics, and also hold a PhD (or be soon to complete a PhD) in programming languages, verification or theory. They should have a publication record in top tier conferences (POPL, LICS, ICALP, FOCS) and journals

Deadline: June 3, 2017 | Published: May 3, 2017   20:49              

Department: Computer Science
Workload: 100%
Duties: We are seeking a post-doctoral research associate to work on developing links between robotics and computer vision techniques. In particular we will advance real-time information processing of images acquired in utero using a fetoscope and using ultrasound and how such information can be used in visual servo for robot control. The candidate will develop techniques which advance both theory and practical implementations. The candidate should have a PhD (or will shortly be assessed for a PhD level qualification) in computer vision, medical image computing, biomedical engineering, or a comparable subject

Deadline: June 3, 2017 | Published: May 3, 2017   20:48              

Department: School of Biosciences, Division of Agricultural and Environmental Sciences
Duration: 3, 5 y        Workload: 100%
Duties: The project will use data and model analytics to target crop management improvements at an individual farm level. Working with the industrial partners the role holder will develop, analyse and apply crop models to use available real time data inputs to provide forecasts which underpin a farmer information service. The project provides a great opportunity to work at the interface of science and practice
Minimum Requirements: Candidates should have, or be close to completion of, a PhD in a relevant subject area. Relevant and applied practical experience in statistical and computational modelling techniques, including simulation models, regression and data visualisation. Experience of crop models specifically is desirable but not essential. Background knowledge of the agriculture industry is desirable but not essential. Excellent analytical and problem solving skills Ability to work independently, prioritise tasks and work to tight deadlines. Good project management skills. Good interpersonal and communication skills and the ability to deal with a variety of people at different levels

Deadline: June 1, 2017 | Published: May 3, 2017   15:15              

Department: The Department of Infectious Disease Epidemiology
Workload: 100%
Duties: Disease-specific estimates will be generated by external consortium members, with estimates for yellow fever and hepatitis B covered at Imperial College London. The post holder will estimate the burden of yellow fever in Africa and the impact of vaccination on this burden, improving and validating an existing model for the yellow fever transmission intensity. This post provides a unique opportunity to develop state-of-the-art mathematical models of a devastating human pathogen, within a world-renowned group; and to inform policy decision making, e.g. regarding the funding of mass vaccination campaigns
Minimum Requirements: PhD for appointment at Research Associate level, or a Masters degree or equivalent for appointment at Research Assistant level. Experience of mathematical or statistical modelling and programming skills

Deadline: June 4, 2017 | Published: May 3, 2017   14:40              

Department: The Department of Mathematics
Workload: part-time
Duties: The post holders will work in the field of statistical science, broadly interpreted
Minimum Requirements: PhD (or equivalent) in Statistics or a closely related discipline, and will have research interests in some field of statistical science

Published: May 3, 2017   14:40              

Department: Population Health Research Institute
Workload: 100%
Duties: To work on the UK Biobank dataset with a focus on the data collected as part of the ophthalmic examination in approximately 70, 000 participants. Photographs were taken of the back of the human eye (the retina) and a software algorithm has been developed that extracts and delineates the retinal vessels from retinal photographs, enabling retinal vessel width and tortuosity to be determined. The work, in association with colleagues from Kingston University and Moorfields Eye Hospital, will relate these measures to cardiovascular risk makers and incident mortality and cardiovascular disease outcomes
Minimum Requirements: Postgraduate qualification and a doctorate in medical statistics or a closely related area. Experience in medical statistics or a closely related discipline and be skilled in the analysis of large datasets using multilevel modelling

Deadline: May 31, 2017 | Published: May 3, 2017   14:15              

Department: Education
Duties: We are interested in understanding: 'what works' in education, and how we can improve educational practices and policy but locate these concerns within a broader set of questions about 'what matters'. What is the role of education in contributing to a more fulfilling, richer and socially just quality of life both for individuals and society?
Minimum Requirements: Studentship applications are invited in our areas of research specialism: Centre for International Education Research; Centre for Research in Arts, Creativity and Literacy; Centre for Research in Educational Leadership and Management; Centre for Research in Human Flourishing; Centre for Research in Mathematics Education; Learning Sciences Research Institute. · This studentship is highly competitive and applicants to must have a first class or upper second class Bachelors Honours degree, normally from a UK academic research organisation

Deadline: June 15, 2017 | Published: May 3, 2017   06:55              

Duration: 1 y        Workload: 100%
Duties: To work on an exciting new EPSRC funded research project for developing distributed algorithms for Compact Self-healing Routing (COSHER). COSHER is an innovative project aimed towards developing cutting edge solutions which can be applied for futuristic large scale networks such as Internet of Things (IOT). The project bringing together research from compact routing and self-healing will look towards extending recent work in these fields relying on standard message-passing modelling of networks (as graphs) and mathematical analysis of proposed algorithms
Minimum Requirements: PhD in Computer Science, mathematics or related disciplines with knowledge and understanding of algorithms and CS theory and/or networks
Preferred Requirements: Experience in designing distributed/network algorithms will be highly desirable

Deadline: June 1, 2017 | Published: May 3, 2017   02:47              

Workload: 100%
Duties: The appointee will be a member of the Interdisciplinary Centre for Mathematical Modelling (ICMM) and will teach on programmes offered by the Department of Mathematical Sciences within the School and contribute to Mathematics service teaching to other Schools
Minimum Requirements: The successful candidate will have an established track record of outstanding research in the initial focus areas of the ICMM and the capacity to attract external funding. They will be expected to initiate and lead in collaborative research activity with ICMM members and across the University

Deadline: May 28, 2017 | Published: April 30, 2017   15:30              

Workload: 100%
Duties: The appointee will teach on programmes offered by the Department of Mathematical Sciences (DMS) within the School and contribute to Mathematics service teaching to other Schools
Minimum Requirements: The successful candidates will have a track record of outstanding research in the initial focus areas of the Interdisciplinary Centre for Mathematical Modelling (ICMM) and a capacity to attract external funding. They will be expected to initiate and lead in collaborative research activity with ICMM members and across the University. The successful candidates will also be committed to innovative, inclusive, research-led teaching

Deadline: May 28, 2017 | Published: April 30, 2017   15:28              

Duration: 3 y        Workload: 100%
Duties: You will supervise a team of bioinformaticians and clinical scientists dedicated to analysis of next generation sequencing data (primarily whole genome sequence data). You will be responsible for developing the analysis pipelines and for designing and implementing novel analytical methods as appropriate, which may involve collaborations with research or commercial partners. There may also be opportunities for analysis and integration of multi-omics data and immune-oncology applications
Minimum Requirements: You should have a PhD in bioinformatics or statistical genetics with strong post-doctoral experience in applied DNA sequence analysis, and ideally have held a supervisory and/or developmental role in the past. You will need excellent programming skills in languages such as Perl, C/C++, R, Python, Java, SQL or similar

Deadline: May 31, 2017 | Published: April 30, 2017   14:44              

Department: Medical Physics and Biomedical Engineerring
Duration: 1 y        Workload: 100%
Duties: The Post-Doctoral Research Associate (PDRA) will be involved in the design of a next generation multi-arm flexible robot with on-board imaging. The goal of the project is to develop a flexible robot to facilitate novel interventions to ocular structure, including retinal stem-cell delivery and thrombolytic drug deposition. The PDRA can emphasize on robot design and engineering, investigation of novel modelling approaches for multi-arm flexible robots, shared position/force control algorithms, and the translation of the developed approaches to the benchtop system
Minimum Requirements: Candidates must have a PhD, equivalent qualification, or equivalent industrial experience in mechanical engineering, biomedical engineering, or closely related field. Candidates must possess a first or upper second undergraduate degree or equivalent in Engineering, Physics, or related subject, and must demonstrate excellent engineering and communication skills. A strong publication record is expected

Deadline: May 28, 2017 | Published: April 30, 2017   11:08              

Department: Physics & Astronomy
Duration: 2, 5 y        Workload: 100%
Duties: Applications are invited for a postdoctoral research position for an interdisciplinary project between the Biophotonics Group in the School of Physics and Astronomy (University of Nottingham) and the Nottingham University Hospitals NHS Trust. The project is focused on developing novel Raman microscopy techniques for medical diagnosis
Minimum Requirements: The candidate must have a Bsc/MPhys Degree in Physics related subject and PhD in Physics, Chemistry or Biomedical EngineeringExpertise. Candidates require previous experience in spectroscopy applications to biological samples (cells and tissues)
Preferred Requirements: Experience in developing confocal Raman spectrometers or auto-fluorescence imaging systems for biomedical applications, based on microscopes, fibre optics probes, spatial light modulators are desirable

Deadline: May 31, 2017 | Published: April 30, 2017   00:47              

Department: Clinical Neuroscience
Duration: 3 y        Workload: 100%
Duties: The successful candidate will learn about established methods, including qualitative research with patients, quantitative methodologies based on Delphi survey methods, and statistical methods to identify patterns in large-scale multi-variate data. Two funded secondments will also enable the successful candidate to spend study periods working with the leading UK charity for people with tinnitus (British Tinnitus Association) and at the University of Regensburg, Germany, which manages a large database of clinical measures
Minimum Requirements: Candidates must be in possession of (or expected to obtain) a first class or upper 2.1 honours degree (or equivalent), or an MSc/MA, in psychology, statistics/mathematics, or other relevant scientific discipline. Experience of conducting human experimental studies, or working with adults who have hearing problems will be of particular advantage, but not essential. Candidates should also have excellent communication and team-working skills, be self-driven and highly motivated

Deadline: June 9, 2017 | Published: April 29, 2017   23:23              

Department: School of Mathematics
Duration: 10 m        Workload: 100%
Duties: Applications are invited for a Research Associate position in the School of Mathematics at the University of Bristol
Minimum Requirements: You should have or expect to hold shortly a PhD in Mathematics or equivalent, with a suitable background in analytic number theory and/or rational points

Deadline: June 15, 2017 | Published: April 29, 2017   16:59              

Department: Civil, Environmental & Geomatic engineering
Duration: 4 y        Workload: 100%
Duties: The project aims to establish a relationship between the global parameters of a breaking wave (such as wave spectrum and steepness) with the local parameters of a spilling breaker and the resulting bubble plume. Analysis of detailed ocean wave data from recent cruises will be used to assess which wave spectra are most appropriate for real conditions, and to consider the difference that this would make to the bubbles entrained by spilling breakers
Minimum Requirements: Suitable candidates should have a good honours degree (1st Class or 2.1 minimum) in Applied Mathematics, Physics, Fluid Dynamics, Civil or Mechanical Engineering, Oceanography or related subjects. Candidates should have excellent written and oral communication skills
Preferred Requirements: A relevant Master degree will be considered as an advantage

Deadline: August 7, 2017 | Published: April 29, 2017   12:57              

Department: The Department of Computing
Workload: 100%
Duties: The project involves the integration of several open source data management tools – including the award-winning tranSMART data management platform and XNAT for medical images management – together into a platform for applications in multiple sclerosis research. This is one of the largest MS precision medicine projects in the country and has global impact
Minimum Requirements: A good first degree (or equivalent) or Masters (or equivalent) in a related area. A proven track record of biomedical data management and analysis, experience in handling/processing large and complex datasets, solid knowledge of big data and data warehouse technology and a good knowledge of modern programming languages (Java, Python) and cloud computing management technology (e.g. Docker, openstack)

Deadline: May 30, 2017 | Published: April 28, 2017   18:28              

Department: School of Engineering & Computing Sciences
Duration: 35 m        Workload: 100%
Duties: Determining research avenues to follow and methodologies to use. Using initiative and creativity to address and resolve problems within projects (including project management, technical or managerial issues). When appropriate, independently make key decisions regarding project direction. Collating and understanding extensive engineering reliability data for use by Durham and its partner institutions. Defining and developing mathematical reliability models and new approaches to stochastic modelling
Minimum Requirements: Hold (or be about to receive) a PhD in engineering or applied mathematics

Deadline: May 26, 2017 | Published: April 28, 2017   17:52              

Department: The Department of Mathematics
Workload: 100%
Duties: The priority research area for the post is Analysis, although consideration will be given to all areas that complement existing strengths in Pure Mathematics
Minimum Requirements: PhD (or equivalent) in Mathematics or a closely related discipline, and have an excellent record of research achievement of international standing

Deadline: June 9, 2017 | Published: April 28, 2017   15:58              

Department: The Department of Epidemiology and Biostatistics
Workload: 100%
Duties: You will be expected to develop/lead an internationally excellent research programme in biostatistics and its application to epidemiology. You will also help foster close working relationships with the Department of Mathematics
Minimum Requirements: A higher degree in a relevant research area (MD, MS, PhD or equivalent); experience of training undergraduate and postgraduate students

Deadline: June 25, 2017 | Published: April 28, 2017   15:57              

Workload: 100%
Duties: You will work with researchers on the StatScale programme to develop and promote freely available software, implementing new statistical methods and algorithms for analysing large-scale streaming data. This position is a key part of StatScale’s approach to maximising economic and societal impact from new statistical ideas. This role will also provide an opportunity to act as a beacon for good statistical computing, disseminating best practice and providing mentorship amongst the StatScale research community, including PhD students affiliated to the programme
Minimum Requirements: A postgraduate degree in Statistics or a related discipline; extensive knowledge of R, including package development and experience of the academic research software development cycle, including deployment, maintenance and user support

Deadline: May 28, 2017 | Published: April 28, 2017   15:10              

Workload: 100%
Duties: We invite applications for a Post Doctoral Research Associate position to join the StatScale Programme. The programme will tackle the important inference challenges arising from streaming data. To contribute to the research project, the primary aim of which is the development of methods and tools for the statistical analysis of data streams and to perform data analyses to illustrate the effectiveness of these techniques. To publish in leading statistical journals and, where appropriate, to contribute to publications in these journals jointly with other members of the project
Minimum Requirements: You should have, or be close to completing, a PhD in Statistics or a related discipline. You will be experienced in one of more of the following areas: anomaly detection; changepoint analysis; non-stationary time series analysis, high dimensional statistics, statistical-computational tradeoffs, signal processing, image analysis. We are particularly keen to encourage applicants with a background in computational statistics and optimisation methods

Deadline: May 28, 2017 | Published: April 28, 2017   09:32              

Department: MRC Laboratory for Molecular Cell Biology
Workload: 100%
Duties: The project provides an excellent opportunity to start out and develop a career niche in gene regulation and cellular decision-making. To manage the running of several research projects. To develop and implement image analysis routines for live cell imaging. To carry out molecular biology, cell line generation, microscopy experiments and data analysis. To collaborate closely with others members of the team. To carry out independent research and method optimization (designing, troubleshooting, analysing and interpreting experiments)
Minimum Requirements: Candidates are expected to be scientists who have a PhD degree (or are about to be awarded one) and a track record of research in a relevant area of the life and/or physical sciences. Ideally the researcher should have a strong grounding in molecular cell biology, with demonstrable expertise in DNA manipulations, cell line generation and imaging

Deadline: May 28, 2017 | Published: April 27, 2017   11:23              

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