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Department: Business Unit Epargne Retraite Entreprise
Duration: 6 mois        Workload: 100%
Duties: L’offre est un stage d’assistance «Commerciale» au sein d’une BU leader sur son marché, essentiellement grâce à ses expetises actuarielle et commerciale. Missions: Elaboration d’études sur les gestions financières présentes dans nos contrats; Collaboration à l’amélioration de la qualité des reporting et plus généralement à l’ensemble du matériel de présentation; Développement (VBA) d’outils internes liés au suivi et contrôle des performances des fonds; Automatisation de tâches récurrentes; Création, suivi des mises à jour des documents mensuels et trimestriels (reporting); Veille de marché (étude comparative de nos offres et innovations sur le marché); Rédaction et mise à jour des présentations commerciales sur les différentes classes d’actifs
Minimum Requirements: Etudiant Bac+4 Bac +5 (université ou école de commerce). Maîtrise du Pack Office dont VBA, aptitude au développement de macro. Maîtrise de l’anglais
Preferred Requirements: Une première expérience en Asset Management ou Assurance ainsi qu’une bonne connaissance des actifs financiers sont appréciées

Published: November 29, 2014   08:01

Department: School of Mathematical & Computer Sciences
Workload: 100%
Duties: Undertake teaching and assessment of courses in Actuarial Science, Statistics and Financial Mathematics. Support colleagues in other Schools at Heriot-Watt University Malaysia in the delivery of courses and other activities to support the delivery of HWUM's aims. Develop relevant materials in appropriate formats for the above programmes. Contribute to the content, design and delivery of the curriculum, and the quality of teaching and learning, in consultation with colleagues and within the international structures and mechanisms established by the University. Review teaching design and delivery by obtaining and analysing feedback from students and peers. Support the accreditation processes of the MQA and other professional bodies
Minimum Requirements: Masters or equivalent qualification in Actuarial Science, Financial Mathematics and Statistics. Teaching experience. Clear communicator with good presentation skills, explaining concepts well. Strong cultural awareness and ability to interpret and embrace diversity. Ability to effectively influence and engage stakeholders
Preferred Requirements: PhD and research experience, industry experience in related fields. Experience of teaching on actuarial science programmes in higher education. Experience of reviewing and updating teaching materials

Deadline: December 31, 2014 | Published: November 29, 2014   08:01

Duration: 6 mois
Duties: L’objectif du stage est de développer un modèle estimant les engagements futurs des réassureurs envers AXA Global P&C. Pour ce faire, le stagiaire devra: se familiariser avec l’activité de réassurance et en particulier le modèle économique spécifique d’AXA Global P&C; acquérir, puis approfondir les méthodes d’estimation des expositions futures sur réassureurs; analyser la pertinence des méthodes et en déduire la méthode d’estimation la plus appropriée; implémenter la méthode retenue. Les résultats du stage incluront: un progamme R permettant ce calcul; la documentation technique associée
Minimum Requirements: Type de formation académique souhaitée: Étudiant de dernière année ou césure en école d’ingénieur, d’actuariat ou master 2 équivalent (disponible en mars 2015). Connaissances techniques, logiciels: statistiques; modélisation; développement informatique (Excel, VBA, R…); connaissance du marché de l’assurance, des techniques actuarielles classiques et de la directive Solvabilité 2 souhaitable mais non indispensable

Published: November 29, 2014   08:00

Department: Department of Mathematics
Workload: 100%
Duties: The current teaching load is 2-3 5-unit courses per quarter, with 7 per year maximum. Starting in AY 16/17 the teaching load will be 12 units/semester where most of the courses are 4 units each. Almost all courses in the Department of Mathematics include an activity/problem solving session. Assigned time for research and proposal preparation is available during the first three years of appointment, and subsequently on a competitive basis
Minimum Requirements: Applicants must have a Ph.D. in mathematics and must demonstrate evidence of excellent teaching and research potential. All areas in applied mathematics research will be considered. The candidate must demonstrate an interest in teaching a broad range of mathematics courses to a diverse body of students and engage undergraduates in research

Published: November 28, 2014   20:00

Workload: 100%
Duties: Current work includes genome wide association analyses of childhood and adult asthma, pulmonary function, and chronic obstructive pulmonary disease, including consideration of environmental interactions. Another project is a case-cohort study of adult asthma among farmers and spouses: data collected on over 3, 000 subjects include pulmonary function, airway inflammation, allergy, exposures measured in dust and by questionnaire, and genome wide association genotyping. Applicants can work on more than one of these projects
Minimum Requirements: Applicants must have extensive experience with epidemiologic or statistical data analysis. Experience with analysis of high dimensional genetic or epigenetic data is a plus

Deadline: March 1, 2015 | Published: November 28, 2014   20:00

Department: The Department of Health and Human Services (DHHS)
Workload: 100%
Duties: In addition, the applicant will be required to work closely with collaborators both within and outside of the Intramural Research Program, and establish new efforts and collaborations to improve the research portfolio of TGB. He/she will interact with and train junior scientists in both basic and advanced statistical methods. He/she will be interacting with the scientists from the NIA/IRP at large, including those conducting studies in animal model
Minimum Requirements: The successful individual must have a Ph.D., or M.D., or equivalent degree. Salary is commensurate with research experience and accomplishments. The applicant must be experienced in experimental design of complex schemes of analysis and will be expected to advise scientists from multiple laboratories on issues related to study design and analytical methods. The successful candidate will have experience in collaborative research documented in publications and more generally will have a history of publications that reflect experience in the statistical requirements of this position. Knowledge of the modern techniques of multivariate analysis, with a particular focus on longitudinal analysis

Published: November 28, 2014   19:38

Department: Health / Department of Health
Duration: 3 +        Workload: 100%
Duties: Major responsibilities will include collaboration in radiation epidemiologic studies and evaluation of complex methodological issues, such as non-standard modeling of dose-response relationship of radiation and cancer-risk and accounting for measurement error in dosimetry in such risk estimation. The candidate will also be given flexibility to pursue research in broader statistical areas, such as measurement error modeling, that have applications beyond radiation epidemiologic studies
Minimum Requirements: A Ph.D. in statistics, biostatistics, or in a similar quantitative field is required. Individuals with both theoretical and applied backgrounds with strong computational skills are encouraged to apply

Published: November 28, 2014   19:35

Department: The Department of Mathematics
Workload: 100%
Duties: Duties will include teaching courses at both the undergraduate and graduate level, conducting research, and engaging in departmental and professional service
Minimum Requirements: Applicants should have a Ph.D. in mathematics and a commitment to excellence in research and teaching. Preference will be given to applicants in the field of biomathematics or computational mathematics who have established research programs and teaching experience at several levels

Published: November 28, 2014   19:35

Department: The Department of Mathematics
Workload: 100%
Duties: Duties will include teaching courses at both the undergraduate and graduate level, conducting research, and engaging in departmental and professional service
Minimum Requirements: Applicants should have a Ph.D. in mathematics and a commitment to excellence in research and teaching. Preference will be given to applicants in the field of topology who have established research programs and teaching experience at several levels

Published: November 28, 2014   19:35

Department: Chesapeake Biological Laboratory
Duration: 3 y        Workload: 100%
Duties: The position will focus on developing numerical models to support understanding of estuarine ecosystems as a component of a larger interdisciplinary research project. The student will work to further develop an existing advection-diffusion model simulating particle capture on an oyster reef to also include ecosystem processes relevant to estuarine nitrogen cycling
Minimum Requirements: We seek highly motivated applicants with demonstrated problem-solving and quantitative skills. Communication skills will be valued to facilitate productive collaborations with field researchers, and some experimental work may be expected as a component of the modeling effort. Experience with Matlab programming is a plus

Published: November 28, 2014   19:35

Department: College of Engineering and Science
Workload: 100%
Duties: The successful candidate is expected to teach Mathematics in the College’s interdisciplinary undergraduate and graduate curricula and to establish an externally-funded research program while working in interdisciplinary research teams. Most research activity in the College of Engineering and Science is focused around multidisciplinary research centers. Candidates whose research areas align with the missions of our research centers are strongly encouraged to apply. Research interests concerning discrete mathematics, big data and cyberspace
Minimum Requirements: A Ph.D. in Mathematics or a related field as well as excellent teaching and research credentials are required

Published: November 28, 2014   19:34

Department: College of Engineering and Science
Duration: 1 y        Workload: 100%
Duties: Teaching responsibilities will include undergraduate mathematics and statistics courses at all levels. Most research activity in the College is focused around multidisciplinary research centers, including the Integrated STEM Education Research Center
Minimum Requirements: This position requires a Ph.D. in Mathematics, Computational Analysis and Modeling, or a related field. The successful applicant must have excellent teaching credentials, as the lecturer will be an active participant in interdisciplinary integrated engineering and science programs, serve as a model teacher for the College, and be involved in innovative curriculum development

Published: November 28, 2014   19:33

Department: College of Engineering and Sciences
Workload: 100%
Duties: The successful candidate is expected to teach industrial engineering, statistics, and operations research courses in the College’s interdisciplinary undergraduate and graduate curricula and to establish an externally-funded research program while working in interdisciplinary research teams. Most research activity in the College of Engineering and Science is focused around multidisciplinary research centers
Minimum Requirements: A Ph.D. in Industrial Engineering, Statistics, Mathematics or a related field as well as excellent teaching and research credentials are required

Published: November 28, 2014   19:32

Department: Department of Mathematical Sciences
Workload: 100%
Duties: Teach approximately 8 to 9 hours per semester, including statistics courses at both the undergraduate and graduate levels; scholarship in statistics; and professional service
Minimum Requirements: Doctorate in statistics by August 21, 2015
Preferred Requirements: Interest and/or experience in big data analysis or probability theory though all areas of statistics will be considered

Published: November 28, 2014   19:30

Department: Department of Mathematical Sciences
Workload: 100%
Duties: Teach courses in actuarial science; scholarship in actuarial science; professional service
Minimum Requirements: Fellowship status in CAS or SOA, actuarial experience, demonstrated evidence of refereed scholarship in actuarial science; OR Ph.D. in a mathematical science by August 21, 2015, Associate status or Fellow status in CAS or SOA, strong potential for refereed scholarship in actuarial science
Preferred Requirements: Publications in actuarial science

Published: November 28, 2014   19:30

Department: Department of Mathematical Sciences
Workload: 100%
Duties: Teach content and methodology for prospective and in-service teachers at the elementary, middle school and secondary levels; scholarship; service
Minimum Requirements: Doctorate in mathematics education by August 21, 2015; Current or previous teaching licensure or certification; At least two years of K-12 teaching experience
Preferred Requirements: Bachelor’s degree or higher in one of the mathematical sciences; Experience or interest in teaching through distance education; Experience working in a culturally diverse academic environment

Published: November 28, 2014   19:29

Department: The Department of Mathematics
Workload: 100%
Duties: The successful candidate will be expected to teach undergraduate and graduate courses in mathematics for pre-service and in-service teachers. The candidate will be active in mathematics education research and in grant writing. The candidate will work closely with other faculty members in the department to: review and revise mathematics courses for teachers at all levels, recruit prospective mathematics education students, and support current reform initiatives in mathematics education congruous with the efforts of WKU’s SKyTeach program, which is a replication of UTeach
Minimum Requirements: Doctorate in Mathematics Education or related degree with 18 hours of graduate-level mathematics at time of appointment; ABDs may be considered with the expectation of completion prior to the date of employment (August 2015). Evidence of excellence in teaching. Evidence of the potential for conducting research in mathematics education. Commitment to outreach in K-12 schools. Effective communication skills

Published: November 28, 2014   17:00

Duration: 9 m
Duties: This is a tenure-track position, assistant professor to teach undergraduate and graduate courses in mathematics. Engage in scholarly activities in mathematics, program development and promotion, student advisement and recruiting, and service activities. The normal workload components of the position include teaching, scholarly activity, and service with a weighting of 60%, 20%, 20% respectively. Teaching load is 12 hours per semester with opportunity for voluntary overloads. Most in-load classes are traditional face-to-face courses. Overload classes are normally virtual courses. Classes include a combination of general education courses and higher-level mathematics courses
Minimum Requirements: Will consider ABD status with required completion of Doctorate in Mathematics within one year
Preferred Requirements: Prefer a Ph.D. in Mathematics. Previous teaching experience strongly preferred, experience in developing/teaching distance education courses desirable

Published: November 28, 2014   17:00

Department: Mathematical Sciences
Workload: 100%
Duties: The Department of Mathematical Sciences at Northern Illinois University invites applications for an anticipated tenure-track position for a numerical analyst specializing in optimization. The position is at the assistant professor level and begins on August 16, 2015
Minimum Requirements: The successful candidate must hold the doctorate at the time of appointment. Demonstrated potential for excellence in research and teaching are required. A strong numerical research component as well as a theoretical background are required
Preferred Requirements: Preference will be given to candidates whose research area is compatible with the interests of the current faculty

Deadline: January 5, 2015 | Published: November 28, 2014   17:00

Department: The Department of Health Policy
Workload: 100%
Duties: Understanding the drivers of geographic variation in medical spending in the United States, including a large-scale evaluation of whether high tech and high cost hospitals save lives. Examining how local changes in the demand for care, after the Affordable Care Act is implemented, line up with the local supply. Analyzing the potential effect of the "Cadillac tax" on high premium insurance plans on the level of generosity of plan benefits. Comparing care use at the end of life for patients in Medicare managed care plans to those in traditional Medicare. Evaluating methods to improve care provision through the use of health information technology and improved health care process engineering
Minimum Requirements: This position requires a Bachelor’s degree and a minimum of 24 months of relevant experience. A degree in economics or a health-related discipline is strongly preferred
Preferred Requirements: Master's level candidates are encouraged to apply. Strong written and verbal communication skills. Strong quantitative, statistical and data analysis skills. Experience with STATA and/or SAS. Self-starter with initiative and professional work style

Published: November 28, 2014   17:00

Workload: 100%
Duties: Au sein de la direction Gestion des risques, le stagiaire participera aux activités liées aux différents chantiers du projet Solvabilité II et au modèle interne en prévoyance collectives. Missions principales: Etudes actuarielles/modélisation des risques; Calibration des paramètres du modèle interne Solvabilité II; Automatisation d’outil dans le cadre des travaux de 2nde opinion
Minimum Requirements: Diplôme préparé: Actuaire; Universitaire profil statistiques. Compétences techniques: Bonne maîtrise des bases en actuariat; Maitrise des outils bureautiques (Excel notamment); Connaissance du logiciel SAS

Published: November 28, 2014   14:44

Abteilung: Personen-Rückversicherung
Dauer: 2 y
Aufgaben: Sie wirken mit am Ausbau unseres Engagements im weltweiten Seniorenmarkt, indem Sie uns bei der Identifizierung und Erschliessung neuer Märkte unterstützen. Sie erarbeiten zusammen mit den Kolleginnen und Kollegen unserer internationalen Standorte neue Marketingstrategien und -konzepte für Rentenrückversicherungen und stellen diese auch Ihren Kunden vor Ort bei entsprechenden Veranstaltungen vor. Die sich anschliessenden Bewertungen der Portefeuilles inklusive der Datenaufbereitung und -analyse sowie die Angebotserstellung gehören dabei ebenfalls zu Ihren Aufgaben
Anforderungen: Erfolgreich abgeschlossenes Master-Studium der (Wirtschafts-)Mathematik oder (Wirtschafts-)Informatik; Interesse an ökonomischen Zusammenhängen und Erfordernissen; Kenntnisse bzw. die Bereitschaft, sich in die Programmiersprachen C/C++ einzuarbeiten; Sehr gute Deutsch- und Englischkenntnisse; Bereitschaft zur internationalen Reisetätigkeit
Gewünschte Anforderungen: Praktische Erfahrung in der Lebenserst- und/oder Lebensrückversicherung ist von Vorteil

Published: November 28, 2014   14:37

Department: Direction Développement produit et planification stratégique
Duration: 3-6 mois
Duties: Dans un contexte caractérisé par le lancement de nouveaux projets DATA avec des attentes fortes en terme d’impact business, vous serez en charge: De l’extraction, du ciblage et de la préparation des fichiers de prospects pour les campagnes marketing en collaboration avec les campaigns managers des équipes marketing opérationnels et digital. Des analyses post-campagnes en lien avec le campaigns managers. Du développement de la connaissance client à travers la réalisation d’étude sur le portefeuille client/prospect, la construction de score d’appétence et d’attrition, la segmentation de nos prospects/client. De la réalisation de reporting et d’études ad-hoc pour la Direction générale
Minimum Requirements: Stages de fin d’étude. Etudiant en dernière année d’école d’Ingénieur ou master Universitaire en Statistique. Forte compréhension des enjeux du marketing relationnel. Expérience en gestion des bases de données ACCESS. La maîtrise d’un autre SGBD est un plus. Maîtrise parfaite d’Excel et du langage VBA. Expérience significative avec le logiciel SAS. Expérience dans l’utilisation d’une plate-forme de reporting et d’un CRM. Anglais opérationnel
Preferred Requirements: La maitrise d’un outil de WEB ANALYTICS est un plus. L’utilisation de Business Object et salesforce serait un plus

Published: November 28, 2014   14:33

Abteilung: Rechenzentrum
Pensum: 100%
Aufgaben: Aufbau des Themenfeldes HPC im Rechenzentrum: Mitarbeit bei der Koordination, Formulierung und Stellung von Anträgen; Begleitung von Ausschreibungen, Systemauswahl und Beschaffung; Entwicklung von Betriebskonzepten (Wartung, Consulting, Administration, Integration in die RZ-Betriebsprozesse). Betreuung des HPC im laufenden Betrieb: Administration; Wartung; Support, Beratung, Einweisung und Schulung der Anwender; Dokumentation; Fortlaufende Weiterentwicklung des Systems und der Organisation
Anforderungen: Abgeschlossenes Studium (Master-Niveau) in einem naturwissenschaftlichen Fach, idealerweise Physik, Bioinformatik oder Informatik. Gute Kenntnis der Organisationsstrukturen und Prozesse an einer Universität (z.B. Antragsstellung/Finanzierung, Kommunikationsstrukturen im wissenschaftlichen Umfeld, Zusammenarbeit mit Planern/Firmen/Behörden). Idealerweise abgeschlossene Promotion zu einem HPC-relevanten Thema. Gute Kenntnisse von IT-Betriebsabläufen (Erfahrung im Rechenzentrums-Betrieb). Sehr gute Kenntnisse in verschiedenen HPC-Architekturen und –Ansätzen (z.B. GPU/CPU-basierte Systeme, Virtualisierung/Cloud-basierte Ansätze, versch. Betriebssysteme, Queuing/Job Scheduling)

Deadline: December 19, 2014 | Published: November 28, 2014   13:05

Department: Department of Applied Mathematics and Computer Science (DTU Compute)
Duties: The new assistant professor will contribute to the research carried out in the section for Scientific Computing at DTU Compute, in particular within theory and applications of partial differential equations and the associated computational methods. Preference will be given to candidates who can contribute to the strengthening of activities within PDE constrained optimization. The successful candidate is expected to teach and take part in the development of teaching at the bachelor, master, and PhD levels at DTU. Specifically, applicants should be interested in teaching introductory courses as well as advanced courses in applied mathematics
Minimum Requirements: Candidates for an Assistant Professorship must hold a PhD degree (or equivalent). The preferred candidate must have a documented research experience within several of the following subjects in relation to partial differential equations: functional analysis. optimization. large-scale numerical computations. modelling and applications
Preferred Requirements: In particular experience with PDE constrained optimization and applications thereof are preferred

Deadline: February 1, 2015 | Published: November 28, 2014   11:10

Department: The Faculty of Engineering and the Environment
Duties: A PhD student will join a team studying human responses to whole-body vibration and optimisation of seating comfort. This project will develop a new technique for predicting subjective assessments of sitting comfort from measures of static and dynamic pressure distributions. The research will extend current understanding (used as the basis of standards for evaluating vibration in many forms of transport). The student will use existing equipment (including a unique six-axis motion simulator) in the motion simulation laboratory of the Institute of Sound and Vibration Research to reproduce the motions of high speed craft
Minimum Requirements: This multi-disciplinary studentship is available to candidates with the equivalent of a first class or upper-second class degree in a related discipline (e.g., engineering, physics, psychology, or physiology), having an interest in psychophysical phenomena, statistics, and appropriate mathematical skills

Deadline: May 27, 2015 | Published: November 28, 2014   09:55

Department: The Faculty of Engineering and Science
Duration: 2 y        Workload: 100%
Duties: The two technologies (WECs and OWTs), which are considered in this Postdoc position, need to decrease their cost of energy (COE) in order to become more competitive with other renewable electricity sources. The Postdoc position consists of participation within different larger ongoing research projects focusing on reliability assessments of wave energy converters and offshore wind turbines. Furthermore, this position may include small teaching activities. The position will, among other things, include theoretical work (statistics) and data analysis as well as documentation of research related progress in the form of scientific publications
Minimum Requirements: Experience with more than one of the below-mentioned techniques/topics is, therefore, a requirement for the position: Structural reliability assessments (FORM/SORM and MCS); Calibration of structural safety factors; Programming skills; Structural fatigue modelling (SN-curves, Miners rule, Fracture mechanics); Uncertainty modelling; Statistics and stochastic processes. It is essential that the applicant masters one or more high-level programming languages (Matlab, Fortran, Delphi, C++, Python or the like). Appointment as Postdoc presupposes scientific qualifications at PhD–level or similar scientific qualifications. Master of Science/PhD

Deadline: December 14, 2014 | Published: November 28, 2014   09:53

Department: School of Science & Technology
Duration: until 31.03.2016        Workload: 100%
Duties: The focus of the project element is the creation of accurate neuron and muscle models of the C.elegans nematode and their high-speed execution. The project seeks to deliver improved understanding of how the brain processes information and an exciting simulation environment for computational neuroscientists
Minimum Requirements: Degree in Electronic Engineering, Computing Science, Physics, Mathematics, or a closely related discipline, or a higher degree in the same or related subjects. PhD in a relevant discipline. Knowledge and experience in the creation of neural models for biological signal processing, ideally spiking neural models; expertise in modern neural network simulation environments and model development tools. A high level of software expertise (MATLAB, C, C++, Java, C#, Python and/or equivalent language)
Preferred Requirements: Knowledge of FPGA design techniques on Xilinx or Altera devices. Knowledge of modern neural simulation environments such as NEURON, BRIAN, NeuroML, PyNN or equivalent. Membership of relevant professional bodies

Deadline: January 11, 2015 | Published: November 28, 2014   09:52

Department: Epidemiology & Public Health
Duration: until 30.09.2017        Workload: 36.25 h a week
Duties: Writing research protocols, devising appropriate literature search strategies, conducting pilot and master searches, retrieving, sifting for eligibility and reading papers, extracting and collating data from eligible manuscripts, conducting a narrative synthesis (and meta-analyses if the data are suitable), preparing Pandhub project reports and infection control guidance as detailed above, and manuscript/s for publication in peer-reviewed journals
Minimum Requirements: Appropriately qualification (i.e. MPH or MSc in Epidemiology/Public Health/Health Protection/Infection Control, or a postgraduate degree in an area related or relevant to infection control/communicable disease control)
Preferred Requirements: A PhD in a relevant area such as Epidemiology, Statistics or Health research

Deadline: December 16, 2014 | Published: November 28, 2014   09:52

Duration: 3 y
Duties: Dveloping analytical strategies for tying together genetic associations with molecular traits such as gene expression levels (eQTLs) and epigenetic marks, integrating information on 3d chromatin interactions
Minimum Requirements: A doctoral degree or equivalent qualification in computer science, statistics, mathematics, physics, and/or engineering, or a degree in biological science with demonstrated experience in computational and statistical work. Previous experience in developing computational methods and implementing them in software in a scientific context. Proficiency with a high-level programming language (e.g. C++, Java) and/or appropriate scripting languages, and statistical data analysis tools such as R, MATLAB or Python
Preferred Requirements: Expertise in analysis and integration of multiomics data, statistical interpretation and analysis of next-generation sequencing datasets. rior experience in statistical aspects of matrix completion methods and/or Bayesian network learning, preferably in the context of biology. A good foundation in, and previous usage of methods in any of the following fields: statistics, machine learning, matrix factorization, non-parametric statistics, optimisation and mathematical modelling. A background in biology, or previous experience tackling biological question

Deadline: January 11, 2015 | Published: November 28, 2014   09:51

Duration: 3 y
Duties: Develop new statistical methods for tying together multi-layered omics data to predict gene/disease associations
Minimum Requirements: A doctoral degree or equivalent qualification in computer science, statistics, mathematics, physics, and/or engineering, or a degree in biological science with demonstrated experience in computational and statistical work. Previous experience in developing computational methods and implementing them in software in a scientific context. Proficiency with a high-level programming language (e.g. C++, Java) and/or appropriate scripting languages, and statistical data analysis tools such as R, MATLAB or Python
Preferred Requirements: Expertise in analysis and integration of multiomics data, statistical interpretation and analysis of next-generation sequencing datasets. rior experience in statistical aspects of matrix completion methods and/or Bayesian network learning, preferably in the context of biology. A good foundation in, and previous usage of methods in any of the following fields: statistics, machine learning, matrix factorization, non-parametric statistics, optimisation and mathematical modelling. A background in biology, or previous experience tackling biological question

Deadline: January 11, 2015 | Published: November 28, 2014   09:50

Abteilung: Institut für Datenanalyse und Prozessdesign (IDP)
Pensum: 50%
Aufgaben: Betreuung und Mitarbeit bei der Weiterentwicklung des Risk- & Finance Labs. Dokumentation und Präsentation von Ergebnissen. Mitarbeit im Unterricht
Anforderungen: Sie verfügen über einen Bachelor- oder Masterabschluss in einer natur-, ingenieur- oder finanzwissen-schaftlichen Disziplin und ausgeprägte Stärken im Bereich der mathematischen Modellbildung und Simulation und der Anwendung empirischer Techniken. Sie haben ein starkes Interesse, im Finanzbereich wissenschaftlich zu arbeiten und dabei Ihre Kenntnisse in den spezifischen methodischen Schwerpunkten und Anwendungsgebieten zu vertiefen. Neben der Assistenzstelle ist die Teilnahme an einem weiterführenden Ausbildungsprogramm (z.B. Master) möglich. Wir bieten Ihnen ein Arbeitsumfeld mit attraktiven Anstellungsbedingungen und der Möglichkeit, sich fachlich und persönlich weiterzuentwickeln

Published: November 28, 2014   08:00

Department: DTU Aqua
Duties: The main tasks will involve helping our dynamic team in data handling and analysis. We are working with large and complex datasets involving fishery and biologic data to support scientific work as well as managers, both nationally and internationally. We have a focus on data entry, handling and quality insurance as well as submission of data or data visualizations to end-users. As our group provides data for many different end-users and projects the work can be very diverse with routine tasks as well as more project oriented work
Minimum Requirements: We are looking for a person with good statistical and data handling skills. If you are familiar with R and/or SAS this is an advantage. We would like you to have a sound understanding of databases with a good eye for detail. You need to be able to play a key role in analyzing problems and come up with creative solutions as well as producing methodologies for effective data management. Handling, analysis and visualization of data are key elements in the job and skills within this area are highly relevant

Deadline: January 5, 2015 | Published: November 28, 2014   08:00

Department: Group Functions and Others
Workload: 100%
Duties: As an Economic Capital Modelling Specialist your main responsibilities will involve: Lead development of key elements of Zurich’s economic capital models (SST/SII/RBC) in close collaboration with other capital modelling teams across the Group, in particular for assessing and allocating diversification effects and the aggregation across risk-types; Interact with FINMA and European regulators (what-if analyses, documentation, calls, etc) with regards to Zurich’s SST and SII capital models in collaboration with Group Legal and Compliance and ZIP; Perform semi-annually detailed analysis of SST/SII/RBC results; Participate in industry practice groups to form industry’s opinion on the solvency regulation; Work closely with the ECM Capital Planning team to support risk-based and economic decision making; Promote further equalisation of Zurich’s RBC and SII economic models; Be responsible for relevant economic capital model documentation
Minimum Requirements: As an Economic Capital Modelling Specialist your skills and qualifications will ideally include: Master in quantitative finance, mathematics or related subjects; One of MBA, CFA, FRM or qualified actuary is required; Several years of experience in the area of economic solvency, risk based capital models and insurance regulation; Solid financial acumen; Excellent understanding of regulatory (SST/SII ) requirements and of Zurich’s economic capital model (RBC/SST/SII); Understanding of Life and General Insurance; Pragmatic problem solver that can cope with imperfect world; Hands-on attitude (spreadsheet, modelling, S ); Critical thinking skills; English essential; Good oral and written presentation skills; MS office proficiency

Published: November 28, 2014   08:00

Department: Department of Engineering
Duration: 1 y        Workload: 100%
Duties: The key responsibilities and duties are generating Large Eddy Simulations, working with Computational Fluid Dynamics codes, generating complex geometry meshes, pre and postprocessing results, writing reports papers, attending meetings with sponsors and assisting where necessary with teaching
Minimum Requirements: The skills, qualifications and experience required to perform the role are ideally a PhD in Computational Fluid Dynamics, or the applicant must be close to gaining a PhD

Deadline: January 2, 2015 | Published: November 28, 2014   08:00

Workload: 100%
Duties: Serve as Chief Actuary. Responsible for modeling of IFRS, statutory and tax reserve and capital for the life and variable annuity GMxB reinsurance business. Analyze underwriting results for all business line. Monitor claim, premium development and perform experience study. Manage risk management and dynamic hedging programs. Recommend asset allocation and investment strategy. Perform projections and determine proper levels of capital to be held. Propose capital structure change. Interpret treaty terms, determine financial impacts, and make action recommendations to mitigate risks and increase profitability. Supervise staff
Minimum Requirements: Must be a Fellow of the Society of Actuaries (FSA) and Member of the American Academy of Actuaries (MAAA). Experience in Variable Annuity valuation and experience study. Experience in supervising staff
Preferred Requirements: Advance degree

Published: November 28, 2014   00:37

Workload: 100%
Duties: The Finance Business Partnering Unit team supports Financial Protection, Individual Annuity, Employer Sponsored, Wealth Management and leads various cross-functional teams such as inforce management or new products. While the position works with all business areas, this role is within the Growth Analytics Team which will support the Business CFO’s
Minimum Requirements: Open to current college students, preferably rising Juniors or Seniors in the following areas: Accounting, Finance, Economics, Statistics or equivalent

Published: November 28, 2014   00:36

Department: Office of Public Affairs
Duration: 1 y        Workload: 100%
Duties: In this role, you will be responsible for managing/maintaining data for multiple web-related projects or web utilization research efforts. Creates, supports, and troubleshoots tools or software used to manage data. Works specifically with Google Analytics, Google Search Appliance and iPerceptions customer satisfaction data. Develops and maintains quality controls for all managed data. Designs data queries and compiles, analyzes, and reports statistical data for web-related projects. Interfaces with vendors and front-end web developers
Minimum Requirements: Bachelor's degree in related field and a minimum (2) two years of experience in analysis and presentation of statistical data. Detailed knowledge of query design, report creation, and graphic representations of data. Knowledge and experience managing complex databases. Experience providing analysis of data

Published: November 27, 2014   17:01

Workload: part-time
Duties: Candidate will teach a broad spectrum of undergraduate Finance classes. Classes may include: Personal Finance, Financial Management, Financial Institutions and Markets, Real Estate Finance, Mathematics of Finance and other finance courses as needed. Faculty are expected to: assess student learning outcomes for their courses and actively participate in program assessment activities. Faculty may also be required to teach off-campus, face to face and online
Minimum Requirements: A minimum of Master’s degree in Finance or Master’s degree in Business with Finance concentration or emphasis. One year college level teaching experience in finance or related field or three years business experience in finance or related field with direct experience in one of the areas to be taught
Preferred Requirements: Ph.D. in Finance

Deadline: May 31, 2015 | Published: November 27, 2014   17:01

Department: Pittsburgh Supercomputing Center (PSC)
Workload: 100%
Duties: Work closely with Pittsburgh Supercomputing Center (PSC) staff, the NSF research community, and other collaborators to develop, implement, and optimize approaches to data analytic challenges. Develop test suites and best practices, conduct performance analyses, interpret results, and assist with the design, specification, and optimization of data-analytic systems and software. Document results, communicating significant findings through publications, conferences, or other professional channels. Develop research opportunities and attract external funding
Minimum Requirements: Education: Bachelor’s degree in computer science or a computational science discipline, or equivalent combination of training and experience. Experience: Three or more years of experience, including academic coursework, in computer science or a computational science discipline and demonstrated success in applying data analytic methods, software, and systems obtaining quantitative insights from big data. Strong knowledge of data modeling, database technologies, workflows, and related programming (e.g. Python, C++). Strong knowledge of machine learning, statistics, information visualization, distributed systems, and/or software and hardware architecture
Preferred Requirements: Education: Masters or Doctorate in computer science, applied math, a computational science discipline, or equivalent combination of training and experience. Experience: Peer-recognized expertise in data analytics, machine learning, computer science, or a computational science discipline and applying data analytic methods, software, and systems obtaining quantitative insights from big data; attested substantial personal contributions to publications, awards, and grants for research in these fields. Skills: Expertise in data modeling, data integration, combining database technologies (e.g. relational, document, key/value, graph, hybrid), workflows and frameworks, interactive visualization techniques

Published: November 27, 2014   17:01

Department: Department of Curriculum and Instruction
Workload: 100%
Duties: Teach courses at the undergraduate level in the area of elementary and middle school level teacher preparation programs. Assist in program planning, review, and evaluation for various departmental programs, especially those with accreditation needs. Serve the public(s) and constituencies of the department, college and university
Minimum Requirements: An earned master's degree in education, with a specialty in mathematics; and five or more years of successful experience teaching mathematics at the middle school or elementary level
Preferred Requirements: Are active in professional mathematics education organizations; provide evidence of leadership in or contribution to development of elementary and middle school math curricula; and have experience teaching mathematics education courses at the university level

Deadline: December 12, 2014 | Published: November 27, 2014   17:01

Department: Educational Psychology
Duration: 9 m        Workload: 100%
Duties: Teach six courses (three per semester) in statistics and statistics education during the academic year (summer courses possible, but not guaranteed); Implement, review, and revise course content and teaching methods for the online and face-to-face undergraduate-level introductory statistics courses (EPsy 3264); Implement, review, and revise course content and teaching methods for the face-to-face and online Master's degree-level introductory statistics courses (EPsy 5261); Implement, review, and revise course content and teaching methods for the face-to-face and online Master's degree-level second course in statistics (EPsy 5262)
Minimum Requirements: M.A. or M.S. in Statistics, Quantitative Methods in Education, or related field. College level teaching experience
Preferred Requirements: Ph.D. in Statistics, Quantitative Methods in Education, or related field. Experience teaching statistics at the undergraduate and master's levels. Three years of college level teaching experience. Evidence of excellence in teaching

Published: November 27, 2014   17:00

Department: Département actuariat corporatif
Duties: L’objectif du stage est de définir/appliquer des méthodes stochastiques avancées pour modéliser la volatilité des réserves dans le cadre de Solvabilité 2 au sein d’AXA Global P&C. Pour ce faire, le stagiaire devra: Appréhender l’activité de réassurance et en particulier le Modèle Interne de Solvabilité (Internal Solvency Model) d’AXA Global P&C. Acquérir puis approfondir les méthodes stochastiques pour évaluer la volatilité des réserves. Comparer les différentes méthodes. Les résultats du stage pourront inclure: Le développement d’un outil permettant d’évaluer le SCR_Reserve (Solvency Capital Requirement for Reserve Risk) selon les différentes méthodes. L’implémentation de nouvelles méthodes stochastiques pour évaluer le SCR_Reserve dans le cadre du modèle interne d’AXA
Minimum Requirements: Type de formation académique souhaitée: Étudiant de dernière année ou année de césure en école d’ingénieur, d’actuariat ou master 2 équivalent. Connaissances techniques, logiciels: probabilités approfondies; statistiques; modélisation; développement informatique (R, Excel, VBA …)
Preferred Requirements: connaissance du marché de l’assurance, des techniques actuarielles classiques et de la directive Solvabilité 2 seraient un plus

Published: November 27, 2014   16:49

Workload: 100%
Duties: Au sein de la direction Gestion des risques, le stagiaire participera aux activités liées aux différents chantiers du projet Solvabilité II et au modèle interne en assurances collectives sur l'acivité internationale. Missions principales: Etudes actuarielles/modélisation des risques. Calibration des paramètres du modèle interne Solvabilité II. Automatisation d’outil dans le cadre des travaux de 2nde opinion
Minimum Requirements: Diplôme préparé: Actuaire; Universitaire profil statistiques. Compétences techniques: Bonne maîtrise des bases en actuariat; Maitrise des outils bureautiques (Excel notamment); Connaissance du logiciel SAS

Published: November 27, 2014   16:47

Duration: open-ended contract
Duties: 1) Build and promote data strategic assets for the business: marketing, products, services and tools. Evolve the part of the innovation process linked to data science. Put in place the metrics and the dashboards for data science activity. Define data management strategy: acquisition, flow, process. 2) Understanding operational needs (actuary, marketing, usage) by collaborating with specialized teams. Formalize needs into mathematical models and problems. Explore databases (including very big databases, unstructured or open, big-data like) to find correlation and relations. 3) Problem solving by leveraging adequate problem formalization, propose theoretical solutions based on available tools: Statistical: regression models and statistical analysis; Algorithmic: data mining, clustering, artificial intelligence neural networks, SVM
Minimum Requirements: Scientific education (engineering school, PhD). Deep knowledge in mathematics, statistics, signal processing, regression models and algorithmic. Good knowledge of Big Data architecture and technologies. English - Fluent in speaking and writing. 7 to 10 years of strong professional experience as a data scientist, a researcher or a data analyst in an innovating company. Leadership capability for community creation
Preferred Requirements: Professional experience in digital or actuary is a plus

Published: November 27, 2014   16:46

Department: FamilyProtect
Duration: 3-6 mois
Duties: Le Data Scientist intern sous la direction du responsable datamining interviendra sur 2 projets analytiques stratégiques: Développement d’algorithme de machine Learning pour prédire la probabilité d’achat d’un produit d’assurance protection. De l’extraction, du ciblage et de la préparation des fichiers de prospects pour les campagnes marketing en collaboration avec les campaigns managers des équipes marketing opérationnels et digital. Du développement de la connaissance client à travers la réalisation d’étude sur le portefeuille client/prospect, la construction de scre d’appétence et d’attrition, la segmentation de nos prospects/client. De la réalisation de reporting et d’études ad-hoc pour la Direction générale
Minimum Requirements: La maîtrise de R et de SAS est obligatoire. Etudiant en dernière année ou année de césure
Preferred Requirements: Une exposition à la plateforme HADOOP est un plus ainsi qu’une familiarité avec les concepts de Machine Learning

Published: November 27, 2014   16:42

Abteilung: Personen-Rückversicherung
Aufgaben: Sie wirken beim Ausbau unseres Engagements im weltweiten Seniorenmarkt mit, indem Sie uns bei der Identifizierung und Erschliessung neuer Märkte unterstützen. Sie erarbeiten zusammen mit den Kolleginnen und Kollegen unserer weltweiten Standorte neue Marketingstrategien und -konzepte für Rentenrückversicherungen und stellen diese auch Ihren Kunden vor Ort bei entsprechenden Veranstaltungen vor. Die sich anschliessenden Bewertungen der Portefeuilles, die Datenaufbereitung und -analyse sowie die Angebotserstellung gehören ebenfalls zu Ihren Aufgaben
Anforderungen: Erfolgreich abgeschlossenes Bachelor- oder Master-Studium der (Wirtschafts-)Mathematik oder (Wirtschafts-)Informatik; Kenntnisse beziehungsweise die Bereitschaft, sich in die Programmiersprachen C/C++ einzuarbeiten; Erfahrung im Umgang mit Microsoft Office, insbesondere Excel; Interesse an ökonomischen Zusammenhängen und Erfordernissen; Sehr gute Deutsch- und Englischkenntnisse; Bereitschaft zur internationalen Reisetätigkeit
Gewünschte Anforderungen: Praktische Erfahrung in der Lebenserst- und/oder Lebensrückversicherung ist von Vorteil

Published: November 27, 2014   16:38

Duties: The Ph.D. programme in the Faculty of Informatics at the University of Lugano (Università della Svizzera italiana) promotes the development of new professionals interested in academic or industrial research careers. A successful Ph.D. student will gain a broad knowledge and understanding of the general field of informatics, as well as an in-depth specialization in an area of interest. Working with one or more members of the Faculty, the student will contribute original, useful, and scientifically valid ideas in their chosen area of research. In addition, the student will develop professional skills that will serve them throughout their career

Published: November 27, 2014   16:36

Anforderungen: exzellenter HSA Math/Physik/(Wirtschafts-)Informatik/Wirtschaftswiss, überdurchschnittliche math Fähigkeiten, Vertrautheit mit Stat, Numerik und Finanzmath Vorteil, sehr gute IT-Kenntnisse, fliessend Englisch&Deutsch

Published: November 27, 2014   16:33

Abteilung: Fakultät Mathematik, Natur- und Wirtschaftswissenschaften
Aufgaben: Wir suchen eine Persönlichkeit, die fundierte Kenntnisse und praktische Fertigkeiten in dem für die Professur vorgesehenen Fachgebiet besitzt. Neben den Aufgaben in Lehre, Weiterbildung, Forschung und Entwicklung sollen sich die Professorinnen und Professoren in den Selbstverwaltungsgremien der Hochschule engagieren
Anforderungen: Die Bewerberin/der Bewerber soll Statistikerin/Statistiker oder Mathematikerin/Mathematiker sein und praktische Erfahrungen in der Anwendung biostatistischer Methoden insbesondere in der Medizin und/oder in der pharmazeutischen Industrie haben
Gewünschte Anforderungen: Sehr gute Kenntnisse in SAS und R sind erwünscht. Erfahrungen mit statistischen Methoden aus dem Qualitätsmanagement sind vorteilhaft

Deadline: January 23, 2015 | Published: November 27, 2014   14:22

Department: The Institute for Mathematics
Duration: 3 y        Workload: 100%
Duties: The Institute for Mathematics at the University of Münster is seeking to fill the post of a Research Associate. The research is expected to be in the field of geometric analysis, non-linear partial differential equations, differential geometry or mathematical physics
Minimum Requirements: A Diploma or Master degree in Mathematics is required. The successful applicant is expected to have a solid background in either analysis, differential geometry, partial differential equations or mathematical physics

Deadline: January 1, 2015 | Published: November 27, 2014   12:56

Department: George Institute for Global Health
Duration: 2 y        Workload: 100%
Duties: We are seeking a Medical/Applied Statistician to work within the George Institute for Global Health. As a Medical/Applied Statistician you will provide statistical analysis support to the growing research teams and be actively involved in the design of clinical trials and other studies, data preparation and analysis and the preparation and presentation of research reports
Minimum Requirements: To be considered for the Medical/Applied Statistician role you will have a higher degree (PhD or MSc and relevant work experience) in a numerate or computation discipline involving a substantial application of statistics. You will also have excellent programming skills (with either R, Python or STATA) and a demonstrated understanding of statistical concepts and techniques

Deadline: January 12, 2015 | Published: November 27, 2014   12:54

Department: Research
Workload: 100%
Duties: As a data science Knowledge Transfer Partnership Associate, you will be the conduit through which expertise from the University of Essex is transferred to the data science team at Profusion. You will work on developing cutting edge data science techniques using statistics and machine learning on multiple sources of data to uncover hidden business insights
Minimum Requirements: Recent MSc or PhD in Data Science, Statistics, Computer Science or related discipline

Published: November 27, 2014   12:30

Department: The Department of Mathematics and the Department of Physics
Duration: 2 y        Workload: 100%
Duties: Applicants are expected to conduct research in geometry or mathematical physics. The following subjects are of particular interest: symplectic and contact geometry, knot theory, localization techniques in quantum field theory, topological strings, mirror symmetry and related subjects
Minimum Requirements: The holder of a position as postdoctoral researcher must have a PhD degree or equivalent. The PhD degree must have been obtained at the start of the employment and no more than three years prior to the application deadline; however, periods of e.g. sick leave or parental leave are deducted from this three-year period

Deadline: December 15, 2014 | Published: November 27, 2014   12:29

Workload: 100%
Duties: The main technical challenge is to develop and apply state-of-the-art statistical analysis to data from earthquake catalogues and strong ground motion records. The aim is to improve current practice, notably in model discrimination and uncertainty quantification, and to apply the results to a case study on seismic hazard in the UK. Conducting quality control checks on the basic catalogue data – providing a robust catalogue and identifying places where changes in practice have had a systematic effect. Developing algorithms for determining a single catalogue of seismic moment magnitude, calibrated for different time periods
Minimum Requirements: A PhD (or near completion) in a relevant field. Expertise in planning, undertaking and communicating the results of research programmes in statistical seismology, including relevant publications in high-impact relevant journals. Strong problem solving skills to allow you to deliver research objectives in challenging circumstances. Statistical knowledge and data management ability, using appropriate programming languages and technology. Proven ability to work independently and efficiently

Deadline: January 12, 2015 | Published: November 27, 2014   12:28

Department: Operational Research
Duration: 18 m        Workload: 100%
Duties: You will work on two main research areas of the Developing Integrated Tools to Optimise (DITTO) Railway System Performance project. First, stochastic scheduling techniques will be applied to rail scheduling. Second, multicommodity network design formulations will be developed for (re)designing scheduled services on the rail network, the solutions of which will require efficient algorithms to be devised based on integer programming techniques
Minimum Requirements: You will have a research background in Operational Research/Management Science with expertise in at least one of the areas: discrete optimisation; stochastic optimisation; scheduling; applications in transport. You will have a PhD, or have a reasonable expectation of such an award in the near future or equivalent qualification, and will be able to demonstrate a high-quality research track-record. Proficiency in computer programming is also required

Deadline: January 2, 2015 | Published: November 27, 2014   12:27

Department: Applied Mathematics
Duration: 15 m        Workload: 100%
Duties: This project involves the investigation of a number of astrophysically motivated problems involving magnetohydrodynamic turbulence. It will involve the medication and running of spectral codes on parallel computers. You will work in the Department of Applied Mathematics within the school
Minimum Requirements: You will have a PhD (or have submitted prior to starting the post) in the relevant discipline e.g. Computational MHD, Plasma physics, Fluid dynamics, Astrophysics and will possess experience in Computational Fluid Dynamics, along with excellent computational skills in Fortran and/or C

Deadline: January 5, 2015 | Published: November 27, 2014   08:00

Abteilung: Institut Vorschul- und Unterstufe
Dauer: befristet bis zum 31.08.2016; Verlängerung möglich        Pensum: 50%
Aufgaben: Sie sind an der Planung und Durchführung mathematik­di­dak­tischer Forschungsprojekte beteiligt. Im Rahmen eines Projektes zu Deter­mi­nanten für Rechenleistungen entwickeln Sie Fragebögen und arbeiten mass­geblich bei der Datenerhebung und -auswertung mit. Zudem übernehmen Sie in kleinem Umfang administrative Aufgaben und unterstützen die Do­zie­ren­den in der Lehre
Anforderungen: Sie verfügen über einen Hochschulabschluss auf MA-Niveau in Mathe­matik(-didaktik) bzw. in Erziehungswissenschaften oder Psychologie mit Bezug zur Mathematik. Idealerweise haben Sie Erfahrung in Projektarbeit und verfügen über vertiefte Kenntnis quantitativer Forschungsmethoden. Sie haben Interesse, sich in mathematikdidaktische Themen der Unterstufe und Primarstufe ein­zu­arbeiten und arbeiten gern selbstständig und teamorientiert

Deadline: December 19, 2014 | Published: November 27, 2014   08:00

Department: Warwick Medical School, Clinical Trials Unit
Duration: 4 y        Workload: 100%
Duties: You will have day-to-day responsibility for the development of transmission models of infectious diseases aimed at estimating the cost-effectiveness of relevant interventions. This will include parameterisation of the models through critical reviews of relevant literature and analysis of appropriate datasets, identification of knowledge gaps and, where appropriate, primary research aimed at addressing those gaps
Minimum Requirements: You will have a PhD (or equivalent) in health economics or other closely related quantitative subject; experience of a broad range of cost-effectiveness modelling techniques; and experience of data management, analysis and reporting. Ability to work independently and as part of a team, to tight deadlines and within budget constraints, is crucial

Deadline: January 4, 2015 | Published: November 27, 2014   08:00

Department: Medicine
Duration: 5 y        Workload: 100%
Duties: Take the statistical lead on studies including; designing the study, the analysis plan and carrying out the statistical programming and data management to implement the plan; Oversee junior-level biostatisticians on data cleaning and creation of analytic files and mentor junior-level biostatisticians in the area of conducting collaborative research; Lead statistical projects related to collaborations on topics including the evaluation of statistical software or methods as well as the development of novel methods, as is relevant and necessary for QSU collaborative projects
Minimum Requirements: Ph.D. in Biostatistics, Statistics, or related field; Capable of functioning independently and collaboratively at an advanced level under the overall direction of the Principal Investigator; Experience with multiple statistical programming languages such as SAS and R; Outstanding oral and written communication skills with the ability to communicate technical information to all audiences; Skilled in descriptive analysis, modeling of data, and graphic interfaces; Demonstrated expertise in statistical methodology
Preferred Requirements: At least two years of experience collaborating as a biostatistician is desirable; Certification in SAS; Experience supervising technical staff including training, mentoring and coaching; Experience developing and writing grant proposals

Published: November 26, 2014   23:48

Department: Bioinformatics Research Center
Workload: 100%
Duties: This Research Associate will serve in a statistical role for a dynamic group conducting genomic data analysis in the Bioinformatics Research Center. The individual will perform detailed and complex statistical analyses, will prepare and give presentations, co-author scientific publications and help write grant proposals, and help supervise and train other personnel in the Center
Minimum Requirements: Relevant post-Baccalaureate degree required; for candidates demonstrating comparable independent research productivity or an undergraduate degree and 3 or more years of relevant experience in substitution, or equivalent independent experience and education
Preferred Requirements: Experience with high throughput data from genetics platforms, and in developing analytical pipelines for such data analysis. Experience in interpreting and communicating scientific results Preferred Experience, Skills, Training/Education Master’s degree in related field desired. Experience assisting with grant proposals, preparing Powerpoint presentations, organizing events, making presentations in front of large audiences, and supervising employees. Knowledge of computational biology, basic genetics, experimental design and statistical analysis methods. Extensive experience in genetic annotation Extensive experience with the R language and in development of R packages

Deadline: December 11, 2014 | Published: November 26, 2014   17:00

Duration: 1 y        Workload: 50%
Duties: The STEP Research Coordinator (RC) will work on a project evaluating a parent education program in rural Senegal with the aim of strengthen children’s language development. Primary responsibilities include maintaining detailed database records; cleaning data and conducting statistical analyses; summarizing analytical results in tables and graphs for reports; writing protocols and training material; programming electronic survey questionnaires; contributing to presentations and manuscripts; and preparing a project management plan for the 3rd phase of field work
Minimum Requirements: Recommended background and skills include a degree in Public Health or related field; previous research experience working with survey design, data collection and analysis; expertise in Excel and a statistical package (e.g., STATA or SPSS) including familiarity with R, experience with data management software (e.g., MS Access or SQL) as well as project management software (e.g., MS Project)
Preferred Requirements: Although not a requirement, a working knowledge of French would be helpful

Published: November 26, 2014   17:00

Department: Mathematics & Statistics
Workload: 100%
Duties: Assists faculty, staff, graduate students, and external clients with research; helps with experimental/survey design, carries out data analysis, produces graphs, charts, and writes final reports
Minimum Requirements: A Master’s degree in statistics or a related field with at least 2 years experience with SAS, SPSS, and/or other statistical packages and fluency in at least in one. Excellent teaching skills. Excellent organization/project management skills along with written and oral communication skills
Preferred Requirements: Ph.D. in statistics or a related field. PStat and SAS certification

Deadline: December 5, 2014 | Published: November 26, 2014   17:00

Duration: 2+ y        Workload: 29,25 h/week
Duties: The position is associated with the research project "Activity patterns in delay-coupled systems" within the framework of the Collaborative Research Center SFB 910 "Control of self-organizing nonlinear systems: Theoretical methods and concepts of applications" of the German Research Council
Minimum Requirements: Necessary for employment is a university degree in mathematics or physics. Moreover, some background in nonlinear dynamics, delay differential equations, or coupled systems is desirable. The applicant is expected to work on a PhD thesis project

Deadline: December 14, 2014 | Published: November 26, 2014   15:37

Duration: 3 y
Duties: You will develop methodology relevant to the "Evidence Synthesis for Health" research theme. The specific focus of your research will include; Methods for utilising historical data and other sources of external evidence to supplement that, obtained in a planned future clinical trial (e.g. extension of existing approaches to historical borrowing to handle change of endpoints, different target populations etc; elicitation and use of expert judgement about commensurability of historical and future studies; development of decision tools to enable formal balancing of risks and benefits of historical borrowing; tools for model assessment/validation; development of ‘portfolio priors’)
Minimum Requirements: You will have, or be about to obtain, a PhD in statistics or related subject. Some knowledge/experience of methodology for clinical trials and/or meta-analysis/evidence synthesis and/or applied Bayesian methods would be highly desirable but not essential, as would statistical computing experience (e.g. Programming in R or Stata or SAS or BUGS). You must have excellent communication skills and show potential to publish high quality scientific papers

Deadline: January 4, 2015 | Published: November 26, 2014   10:25

Duration: 2 m
Duties: During two full months corresponding to nine weeks (June-September 2015), the CERN openlab summer students will be given a series of IT lectures (link is external) especially prepared for them by experts at CERN. The students also have the opportunity to attend the CERN generic student programme lectures (link is external). Visits to the accelerators and experimental areas are part of the programme, as well as external visits. A report on the work project carried out is to be handed in at the end of the stay
Minimum Requirements: You must be a Bachelor or Master student in Computer Science or Physics. You have completed, by summer 2015, at least three years of full-time studies at university level. You will remain registered as a student during your stay at CERN. If you expect to graduate during summer 2015, you are also eligible to apply. You have not worked at CERN before (ie as a User or a Technical Student). A good knowledge of English is mandatory
Preferred Requirements: knowledge of French would be an advantage

Deadline: February 28, 2015 | Published: November 26, 2014   09:51

Department: Department of Wind Energy
Duration: 3 y
Duties: The goal of the research is to develop new and improve existing probabilistic methods for wind turbine design which lead to reduced uncertainties and improved reliability. The main focus areas will be probabilistic models for environmental conditions, design loads and material properties, Impact of aero-servoelastic models on design, structural reliability and predictive O&M with health monitoring
Minimum Requirements: Good knowledge in at least one and preferably all of these disciplines: Specialization in structural reliability. Candidates should have a PhD degree in Mechanical engineering or allied discipline: Statistics and probability theory; Reliability; Time series analysis; Structural dynamics; Aero-elastic modelling and design; Wind turbine design standardization; finite-element modelling. Ability to work independently towards the research goals. Fluency in communicating, reading and writing English
Preferred Requirements: Work experience with wind energy is an advantage. Good teaching skills are an advantage

Deadline: December 9, 2014 | Published: November 26, 2014   09:00

Department: Equipe Rentabilité et Réassurance
Duration: 6 mois        Workload: 100%
Duties: Vous participez aux travaux de calcul de la valeur d’un portefeuille de contrats Epargne, Mixte et Vie Entière. Vous aurez pour mission de: Réaliser des études statistiques sur le portefeuille des contrats mixtes, épargne et vie entière; Comprendre et analyser la modélisation actuelle; Calculer la valeur de nos contrats en portefeuille; Réaliser une étude critique de ces résultats; Faire évoluer le modèle existant pour une meilleure interprétation des résultats. Ce sujet mettra en eu différentes notions d’actuariat: comportement client, connaissance du fonctionnement d’un produit d’assurance vie, mécanismes de provisionnement…
Minimum Requirements: Formations recherchées: Ecole Polytechnique, Centrale, Mines, Ponts, ENSAE, formations en actuariat et/ou mathématiques financières. Compétences techniques: Connaissances de l’actuariat et des modèles financiers classiques (Black Scholes, Monte Carlo…), bonne maîtrise de SAS et d’Excel/VBA

Published: November 26, 2014   08:12

Department: Département Gestion Actif/Passif de la Direction des Investissements
Duration: open-ended contract        Workload: 100%
Duties: Maintenance et enrichissement des outils de projection utilisés pour les études Actif/Passif, pour les études R&D, ainsi que pour le modéle de projecton MoSes. Revue et définition de l'allocation stratégique d'actifs permettant une optimisation du rendement sous des contraintes de risque et de réglementation (Marché Vie Individuelle et IARD). Revue et définition de stratégies de couverture. Maintien de l'environnement de production des études Actif/Passif. Contribution à la modélisation des actifs financiers et à leur projection
Minimum Requirements: Diplôme: Ecole d’ Ingénieur, Actuaire, DEA/DESS Statistiques/Mathématiques Financières. Compétences techniques: Mathématiques financières, statistiques et actifs financiers et/ou Actuariat Vie; Excel/Access et Langages de programmation VB, C/C++; Expérience préalable de 2/3 ans dans le domaine de l'assurance (ALM/Risk Management) ou la finance
Preferred Requirements: Une connaissance de l'environnement réglementaire Solvency II serait un plus

Published: November 26, 2014   08:10

Department: Equipe Group Operational Risk Management
Duties: Participer au développement des principes de modélisation des risques opérationnels et justifier l’approche «modèle interne» du Groupe face aux exigence réglementaires (Solvency II); Assurer l’intégration et la cohérence de la charge en capital Risque Opérationnel Groupe; Suivre les pratiques de marché et les évolutions techniques de la modélisation des risques opérationnels, afin d’assurer un positionnement optimal du Groupe AXA quant à ces pratiques; Focus particulier sur les problématiques d’agrégation des risques opérationnels et de backtesting des hypothèses et des résultats; Amélioration constante des méthodologies, procédures et outils servant à supporter l’initiative
Minimum Requirements: Etudiant en école de commerce/actuariat/3ème cycle en Statistiques. Expertise en modélisation statistique des risques. Connaissance générale de l’organisation, des métiers et de la gouvernance des compagnies d’assurance et de gestion d’actifs. Connaissance générale de Solvency II. Bonne maîtrise de l’anglais (oral et écrit)

Published: November 26, 2014   08:10

Department: AXA Global Life (AGL)
Duration: open-ended contract
Duties: Volume and selectivity management for AXA’s worldwide new business in GA (General Account) products. Monitoring and analyzing flows and profitability in all entities. Definition and implementation of a GA strategy. Evaluation of action plans to influence and guide flows. Development of KPIs. Organizing an active sharing of best practices throughout the AXA world. Study of customer behavior in regards to products with a financial protection component. Assessing the Solvency II implications on the GA portfolio. Review and validation of product launches. Management of GA related projects & programs. Steering and preparing the communication of relevant GA actions. Organization, preparation and moderation of meetings and committees
Minimum Requirements: Minimum 8-10 years of professional experience. Very good technical knowledge of GA business and solvency II. Proven program management skills. Strong knowledge of product management business within a life insurance company. Fluent in English

Published: November 26, 2014   08:10

Abteilung: Institut für Analysis; DFG-Graduiertenkolleg "Analysis, Geometrie und Stringtheorie"
Dauer: 1+2 y        Pensum: 75%
Aufgaben: Die Stellen bieten die Möglichkeit zur Promotion in Analysis, Geometrie oder Mathematischer Physik. Eine angemessene Beteiligung an den Lehraufgaben des Graduiertenkollegs wird gewünscht
Anforderungen: abgeschlossenes Hochschulstudium (Diplom/Master) in Mathematik oder Physik mit überdurchschnittlichem Erfolg in den bisherigen Studienabschnitten

Deadline: December 7, 2015 | Published: November 26, 2014   08:05

Duration: 3 y
Duties: You will develop methodology relevant to the "Design and Analysis of Randomised Trials" research theme. The specific focus of your research will include methods for adaptive clinical trials (e.g. comparison of strategies for enrichment/adaptive populations, optimal frequency of adaptations, design of adaptive dose-response studies, adaptive designs for preclinical studies) and/or methods for handling missing data in randomised studies (e.g. comparison of multiple imputation, Bayesian and weighting methods for non-normal, non-ignorable missing data, eliciting and incorporating expert judgement about missing data processes, methods to include retrieved dropout data, design and presentation of sensitivity analyses)
Minimum Requirements: You will have, or be about to obtain, a PhD in statistics or related subject. Some knowledge/experience of methodology for clinical trials and/or missing data and/or applied Bayesian methods would be highly desirable but not essential, as would statistical computing experience (e.g. Programming in R or Stata or SAS). You must have excellent communication skills and show potential to publish high quality scientific papers

Deadline: January 4, 2015 | Published: November 26, 2014   08:02

Department: Neuropsychiatry
Workload: 100%
Duties: The Neuroimaging Data Analyst Junior provides support for managing and analyzing data collected in several research grants. Responsibilities will include managing and cleaning data, querying databases to create reports and determine the accuracy of data entered; exporting/importing data between different sources; writing and editing existing code to organize data for analyses; assisting with basic statistical analyses using R, SAS and other tools; checking incoming neuroimaging data for completeness and accuracy and processing it with available scripts; communicating with other researchers to obtain missing information; and writing technical and user documentation
Minimum Requirements: Bachelor’s degree with major in Psychology, Statistics, Computer Science or related field, and 0-1 years of experience, or equivalent combination of education and experience, is required
Preferred Requirements: Experience in biomedical or psychological research or data management preferred. Experience with linux/unix/bash scripting is preferred; extensive knowledge of tools useful in manipulating and converting data; facility with numbers and meticulous attention to detail; experience with statistics and statistical programming (R preferred); programming experience with one or more general-purpose programming languagespreferred; capacity for learning new technical skills independently; experience with neuroimaging tools (SPM, AFNI, FSL) preferred

Published: November 25, 2014   17:00

Department: Agency for Healthcare Research and Quality
Workload: 100%
Duties: Apply appropriate survey sampling and statistical analytic techniques to the design and analysis of national probability samples of households and business establishments for health surveys conducted or sponsored by the Agency. Develop and apply appropriate sampling strategies and statistical methods to surveys of medical providers including those linked to household surveys. Develop and implement probabilistic matching and imputation methods for various surveys conducted or sponsored by AHRQ. Conduct methodological analyses designed to improve survey data quality based on comparisons to other health care data sources. Participate in evaluations of survey instrument design and data collection processes designed to inform strategies for improving the statistical validity and cost effectiveness of data products produced. Summarize methodological procedures and survey results for dissemination in various AHRQ publications
Minimum Requirements: Successful completion of a full 4-year course of study in an accredited college or university leading to a bachelor's or higher degree that included 15 semester hours in statistics (or in mathematics and statistics, provided at least 6 semester hours were in statistics), and 9 additional semester hours in one or more of the following: physical or biological sciences, medicine, education, or engineering; or in the social sciences including demography, history, economics, social welfare, geography, international relations, social or cultural anthropology, health sociology, political science, public administration, psychology, etc. Credit toward meeting statistical course requirements should be given for courses in which 50 percent of the course content appears to be statistical methods, e.g., courses that included studies in research methods in psychology or economics such as tests and measurements or business cycles, or courses in methods of processing mass statistical data suc...

Deadline: December 11, 2014 | Published: November 25, 2014   17:00

Department: Department of Knowledge-Based Mathematical Systems
Duration: 3-4 y        Workload: 40 h/week
Duties: The basic task is to transfer knowledge from one or a number of original source tasks to one or more similar target tasks with little training data available for each, while achieving robust and consistent models. Thereby, the following related variants for transfer and representation learning should be considered throughout the PhD: Direct (classical) model transfer from one concrete source task to a target task, Multi-task learning as a variant of inductive transfer learning, Learning common transferable representations for a set of tasks
Minimum Requirements: Applicants should preferably have a completed master in Mathematics/Informatics/Mechatronics, 300 ECTS points received during her/his study (bachelor+master) and have prior experience in soft computing and/or machine learning techniques. We expect willingness for preparing publications in international journals and conferences, and clearly suppose an interest in transfer learning and adaptive systems. Working permission for the EU is requested

Deadline: December 5, 2014 | Published: November 25, 2014   13:59

Department: Faculty of Science and Engineering, School of Electrical Engineering, Electronics and Computer Science, Department of Computer Science
Duration: 2 y        Workload: 100%
Duties: Project "Reachability problems for words, matrices and maps: Algorithms and Complexity"
Minimum Requirements: You will carry out research on decidability and complexity of reachability problems in various computational models including automata models, rewriting systems, matrix semigroups, iterative maps and hybrid systems
Preferred Requirements: A PhD in Computer Science, Mathematics or a closely related area with relevant research expertise in theoretical computer science or in combinatorial, algorithmic and computational aspects of algebraic structures or dynamical systems

Deadline: January 5, 2015 | Published: November 25, 2014   11:36

Department: Centre for Research on Ageing
Duration: 12 m        Workload: 100%
Duties: Project on ‘Understanding the quality of life and well-being of older people: case studies of China, India, Pakistan and Bangladesh’. You will be responsible for the statistical analysis of large and complex survey datasets from the four case study countries
Minimum Requirements: A Master's qualification in a quantitative social science discipline; a PhD qualification in a quantitative social science discipline (or due to complete one); experience in the management of large and complex datasets; excellent statistical analysis skills
Preferred Requirements: Understanding of recent policy developments in the field of ageing; familiarity with household budget surveys such as the World Bank Living Standards Measurement Surveys

Deadline: December 24, 2014 | Published: November 25, 2014   11:35

Abteilung: Personen-Rückversicherung
Aufgaben: Der Schwerpunkt Ihrer Tätigkeit liegt auf der operativen Betreuung von bestehenden Kundenbeziehungen sowie der Akquisition von Neukunden in Deutschland. Sie erstellen Rückversicherungsverträge, analysieren Vertragsverläufe und erarbeiten entsprechende Vertragsanpassungen. Ausserdem beobachten und analysieren Sie den deutschen Versicherungsmarkt vor dem Hintergrund sich abzeichnender Trends und unterstützen in diesem Zusammenhang unsere Kunden bei der Entwicklung von Produktlösungen. Hierzu gehört auch die Ableitung von Rechnungsgrundlagen für biometrische Risiken und die Durchführung von Kundenworkshops
Anforderungen: Erfolgreich abgeschlossenes Bachelor- oder Master-Studium der (Wirtschafts-)Mathematik oder vergleichbares Studium mit einem mathematischen Schwerpunkt; Kreativität beim Entwickeln von Lösungen für komplexe Problemstellungen, z.B. im bilanziellen Kontext oder bei der Ableitung von Rechnungsgrundlagen; Verhandlungssichere Kenntnisse der deutschen Sprache und gute englische Sprachkenntnisse; Bereitschaft zur gelegentlichen Reisetätigkeit
Gewünschte Anforderungen: Idealerweise einige Jahre Erfahrung in der Lebenserst- und/oder Lebensrückversicherung

Published: November 25, 2014   11:20

Abteilung: Group Risk Management - Dynamic Financial Analysis
Aufgaben: Sie unterstützen uns bei der Weiterentwicklung des internen Kapitalmodells im Bereich Personenrückversicherung und übernehmen in diesem Zusammenhang Aufgaben in den Anwendungsprozessen des Kapitalmodells, z.B. der Risikoberichterstattung und der Kapitalallokation. Diese Tätigkeiten erfordern eine enge Koordination mit unseren internationalen Standorten und den Aktuaren, die die technischen Rückstellungen bewerten. Zudem sind Sie auch für die Pflege und Weiterentwicklung von IT-Anwendungen zuständig
Anforderungen: Erfolgreich abgeschlossenes Studium der Mathematik oder einer angrenzenden Fachrichtung mit deutlich quantitativer Ausrichtung; Gute Programmierkenntnisse; Kenntnisse in der Rechnungslegung; Sehr gute englische und deutsche Sprachkenntnisse; Bereitschaft zu gelegentlichen Dienstreisen
Gewünschte Anforderungen: Erste Berufserfahrung oder Erfahrung durch Praktika im Risikomanagement oder Aktuariat eines Erst- oder Rückversicherers ist von Vorteil

Published: November 25, 2014   11:20

Duties: Development of algorithmic trading strategies; Construction of new trading indicators; Data analysis; Optimization of trading strategies
Minimum Requirements: University degree in a quantitative field; Programming skills; Interest in financial markets; Flair for maths and statistics; Strong problem solving skills
Preferred Requirements: Knowledge of signal processing or pattern recognition is an advantage

Published: November 25, 2014   11:15

Abteilung: Abteilung Informatik und Angewandte Kognitionswissenschaft
Dauer: 2 y        Pensum: 100%
Aufgaben: Mitwirkung an Forschungsprojekten mit dem Schwerpunkt eingebettete und adaptive Verbundsysteme, z.B. im Internet der Dinge, im Wearable Computing und bei Mixed Reality Systemen. Dies beinhaltet konzeptionelle ebenso wie praktische Arbeiten, beispielsweise den Entwurf neuer Algorithmen und Protokolle, die Entwicklung geeigneter Hardware- und Softwarekomponenten sowie die Evaluation der resultierenden Systeme
Anforderungen: Abgeschlossenes Hochschulstudium im Fach Informatik, Mathematik, Elektrotechnik oder einem verwandten Fach von mind. 8 Semestern. Engagement und Freude an kreativer konzeptioneller und praktischer Forschungs- und Entwicklungsarbeit. Teamorientierung und Interesse an neuem werden vorausgesetzt. Sehr gute Programmierkenntnisse in mindestens einer Programmiersprache, z.B. Java, C, C++, JavaScript, etc
Gewünschte Anforderungen: Erfahrung mit mobilen und/oder eingebetteten Systemen, idealerweise mit Vorkenntnissen in der Mikroprozessorprogrammierung in C/C++, z.B. auf Basis existierender Plattformen wie Arduino, Raspberry Pie und Beagle Bone. Vorkenntnisse in verteilten Systemen, Wearable Computing sowie Robotik sind von Vorteil

Deadline: December 8, 2014 | Published: November 25, 2014   09:24

Department: DTU Food
Duties: The tasks of the position include research, public health consultancy and teaching within the fields of foodborne disease epidemiology. The main responsibility is to lead the institute’s development of models and tools to prioritise food safety interventions with particular focus on approaches for measuring the burden of foodborne diseases in humans, animals and the society
Minimum Requirements: Candidates should have a PhD degree or equivalent as well as academic qualifications equivalent to those obtained by holding a position as Researcher or Postdoc. Didactic/pedagogic training. The successful applicant should have documented experience and qualifications with burden of disease methodology and/or quantitative source attribution, as well as microbiological risk modelling within the area of foodborne disease epidemiology. Experience with statistical analysis of large registry-based datasets is a requirement

Deadline: December 8, 2014 | Published: November 25, 2014   08:55

Department: DTU Compute
Duties: The candidate is expected to actively take part in the promotion, development and improvement of contemporary statistical methods and theory. The applicant should be able to document a strong research potential and profile. Furthermore, the candidate will be expected to participate in one or more existing projects as well as actively applying for funding for new research projects of his/her own
Minimum Requirements: Candidates must hold a PhD degree (or equivalent) as well as academic qualifications equivalent to those obtained by holding an Assistant Professorship; document didactic/pedagogic training

Deadline: January 5, 2015 | Published: November 25, 2014   08:45

Duration: 6 mois        Workload: 100%
Duties: La modélisation des produits Epargne dans le cadre du calcul du capital en environnement solvabilité II. Etudes statistiques sur le portefeuille et mise en avant de leviers afin d’améliorer la rentabilité de l’in-force
Minimum Requirements: Diplôme/Type d’école: Grandes Ecoles, Ecoles d’Actuariat, MII en statistiques, actuariat ou mathématiques financières, Cible: 3ème Année. Compétences techniques: Statistiques (modélisation), Finance; Actuariat/réglementation en assurance vie; Maîtrise des outils bureautique: Word, Excel, Power Point; Logiciel: SAS, VBA (la connaissance de MoSes serait un plus)

Published: November 25, 2014   08:27

Duration: 6 mois
Duties: Sujet: Evolution des modèles en Solvabilité II. Totalement intégré dans l’équipe Appel d’offre et souscription multinationale, votre rôle sera de: Modéliser l’évolution du besoin en capital sur la durée de projection de nos flux techniques et financiers; Développer dans nos outils la modélisation choisie; Evaluer les impacts de cette modélisation
Minimum Requirements: Diplôme/Type d’école: Polytechnique, Centrale, ENSAE et Ecoles d’actuariat; Niveau: Bac+ 5 – stage de fin d’études; Options éventuelles: Actuariat/Stats/Economie. Bases en actuariat et notions de l’environnement Solvabilité II. Bonnes connaissances en code VBA, C++…
Preferred Requirements: La connaissance de l’Assurance Vie et de la modélisation financière seraient un plus

Published: November 25, 2014   08:26

Abteilung: Institut für Informationsverarbeitung
Aufgaben: Wissenschaftliche Mitarbeit und Projektarbeit an einem geförderten Forschungsprojekt, in dem video-realistische Gesichtsanimationen mit natürlichem Gesichtsausdruck für interaktive Dienste entwickelt werden. Im Rahmen dieser Anstellung besteht die Möglichkeit zur Promotion
Anforderungen: abgeschlossenes Hochschulstudium in den Bereichen Elektrotechnik, Informatik, Mathematik oder Physik. Wir wünschen uns fundierte Kenntnisse aus den Bereichen Computergrafik und Bildverarbeitung
Gewünschte Anforderungen: Gute Englischkenntnisse in Wort und Schrift sowie Programmiererfahrung (z.B. in C++ oder Matlab)

Deadline: November 30, 2014 | Published: November 25, 2014   08:26

Abteilung: Institut für Statik und Dynamik
Dauer: 1+ y
Aufgaben: Mitarbeit in Forschung und Lehre. Das Forschungsthema behandelt das Schwingungs- und Festigkeitsverhalten von Bauteilen mit regenerationsbedingten Imperfektionen und Eigenspannungen. Zur wirklichkeitsgetreuen Abbildung des Schwingungs- und Festigkeitsverhaltens eines Bauteils sind numerische Modelle und Methoden unter Einbezug der Betriebsbedingungen und der Streuung der strukturellen Eigenschaften zu entwickeln. Das Projekt wird im Rahmen des DFG Sonderforschungsbereichs (SFB) 871 "Regeneration komplexer Investitionsgüter" in enger Zusammenarbeit mit anderen renommierten Instituten der Leibniz Universität Hannover durchgeführt
Anforderungen: Voraussetzung ist vorzugsweise ein abgeschlossenes Universitätsstudium des Bauingenieurwesens oder der Computergestützten Ingenieurwissenschaften, ggf. kommt auch ein vergleichbarer Universitätsabschluss (Mechanik, Maschinenbau usw.) in Betracht
Gewünschte Anforderungen: Gute Vorkenntnisse auf dem Gebiet der Mechanik und der numerischen Simulation sind wünschenswert

Deadline: November 30, 2014 | Published: November 25, 2014   08:25

Abteilung: Institut für Betriebswirtschaftliche Steuerlehre
Dauer: 3+ y        Pensum: 75%
Aufgaben: Von dem/der Bewerber/in wird erwartet, dass er/sie engagiert quantitativ orientierte Forschungsvorhaben im Bereich Betriebswirtschaftliche Steuerlehre bearbeitet, sich an der Lehre der Wirtschaftswissenschaftlichen Fakultät beteiligt sowie an der akademischen Selbstverwaltung mitwirkt. Die wissenschaftliche Weiterqualifizierung (Promotion) wird ausdrücklich unterstützt und gefördert
Anforderungen: Voraussetzung sind ein ausgeprägtes Interesse an wissenschaftlichen Fragestellungen der Betriebswirtschaftlichen Steuerlehre und ein Prädikatsexamen in einem wirtschaftswissenschaftlichen Studiengang oder in einem anderen Studiengang (z.B. Mathematik oder Statistik) mit wirtschaftswissenschaftlichem Schwerpunkt
Gewünschte Anforderungen: Sehr gute Deutsch- und Englischkenntnisse

Deadline: December 12, 2014 | Published: November 25, 2014   08:24

Duration: open-ended contract
Duties: La/le Data Scientist a un rôle de leader dans la construction de la stratégie Big Data d’Axa: Construire et promouvoir les atouts stratégiques des données pour le business: marketing, produits, services et outils; Promouvoir et développer le processus d'innovation dans la communauté R&D; Définir la stratégie de gestion de données: acquisition, flux, processus; Mettre en place les tableaux de bord pour donner la visibilité et le contrôle au responsable R&D sur l’activité Data Scientist; Relier les besoins business aux solutions IT; Gérer la conformité de vie privée de données
Minimum Requirements: Parcours scientifique (école d’ingénieurs, doctorat, Master ..). Forte expérience dans le traitement de données (datamining, analyse réseaux sociaux, text mining). Bonnes connaissances en programmation (Python, R, Javascript, Java/C++, SQL, Pig, Hive). Bonnes connaissances dans les outils big data: datamining (R, scikititlearn, MLLib), systèmes de fichiers distribués (Hadoop, hdfs, Spark, Redis, Riak), noSQL Databases (MongoDB, couchDB), I/O architecture (node.js etc), dataviz (Tableau, d3.js, iCharts). Expérience probante dans les architectures distribuées appliquées au big data. Expérience professionnelle dans la recherche (fondamentale ou appliquée). 3-7 ans d'expérience professionnelle comme chercheur dans un centre de recherche ou dans un laboratoire universitaire, ou comme un membre d’une équipe R&D dans une entreprise d'innovation
Preferred Requirements: Expérience professionnelle dans le web marketing est un plus

Published: November 25, 2014   08:20

Duration: open-ended contract
Duties: Le Data Scientist participe à la création de la stratégie Big Data de l'entreprise: Construire et promouvoir les atouts stratégiques des données pour le business: marketing, produits, services et outils; Promouvoir et développer le processus d'innovation dans la communauté R&D; Définir la stratégie de gestion de données: acquisition, flux, processus
Minimum Requirements: Parcours scientifique (école d’ingénieurs, doctorat, Master ...). Forte expérience dans le traitement de données (datamining, analyse réseaux sociaux, text mining). Bonnes connaissances en programmation (Python, R, Javascript, Java/C++, SQL, Pig, Hive). Bonnes connaissances dans les outils big data: datamining (R, scikititlearn, MLLib), systèmes de fichiers distribués (Hadoop, hdfs, Spark, Redis, Riak), noSQL Databases (MongoDB, couchDB), I/O architecture (node.js etc), dataviz (Tableau, d3.js, iCharts). Expérience probante dans les architectures distribuées appliquées au big data. Expérience professionnelle dans la recherche (fondamentale ou appliquée). 1-3 ans d'expérience professionnelle comme chercheur dans un centre de recherche ou dans un laboratoire universitaire, ou comme un membre d’une équipe R&D dans une entreprise d'innovation
Preferred Requirements: Expérience professionnelle dans le web marketing est un plus

Published: November 25, 2014   08:19

Department: Data Innovation Lab
Duties: Cette offre couvre le domaine de l’assurance télématique (voitures connectées). Afin de pouvoir estimer le risque des conducteurs, nous souhaitons être en mesure de détecter des patterns de conduite "dangereuse" ou "prudent". Le stagiaire devra: Améliorer voire proposer de nouvelles représentations adaptées des séries temporelles de données enregistrées; Imaginer et implémenter des systèmes de clustering des séries temporelles et de prédiction de la sinistralité en fonction de celle-ci; Imaginer, implémenter et tester des systèmes de détection automatique d’accidents de la route à partir de données de conduite reçues en temps réel; Contribuer, en association avec les développeurs opérationnels, à l’intégration des systèmes précédents sur la plateforme télématique de production pour leur application à des clients réels
Minimum Requirements: Formation scientifique (école d’ingénieur, école d’informatique). Connaissance approfondie en mathématiques (statistiques & traitement du signal) et algorithmique (clustering & intelligence artificielle). Bonnes compétences en programmation (R, Python, Scala, etc.). Expérience en data mining ou intelligence artificielle (plus ou moins approfondie selon les sujets). Anglais courant

Published: November 25, 2014   08:18

Duties: Appropriation, recherche et manipulation de données. Intégration des bases de données internes et création de bases à partir de données externes. Prétraitement des données pour des traitements statistiques. Bonne compréhension des eneux: savoir comprendre rapidement de quelle manière un phénomène réel se manifeste dans les données. Création de modèles prédictifs. Proposition de variables explicatives originales, et d’un modèle d’intelligence artificielle/de régression adapté au problème. Analyse des impacts des variables sur lesquelles AXA dispose de marges d’action et proposition d’évolution du dispositif marketing actuel
Minimum Requirements: Formation scientifique en Grande Ecole: Ecole Polytechnique, Ecole Normale Supérieure, centrale, ENSAE…; Connaissance approfondie en mathématiques (statistiques, traitement du signal) et économétrie; Compétences en programmation
Preferred Requirements: Des expériences (cours, projets…) en intelligence artificielle ou data-mining sont un plus

Published: November 25, 2014   08:18

Department: Data Innovation Lab
Duties: Le ou la stagiaire rejoindra l’équipe objets connectés. Cette équipe a pour ambition de créer une offre de services en B2B à destination des entités d’AXA partout dans le monde afin de leur donner les briques technologiques (logiciels, plateformes, algorithmes, accès distants à des bases de données, etc.). Il/elle assistera le responsable de la plateforme objets connectés dans la définition de la stratégie de création de l’offre de services et interviendra systématiquement sur les activités transverses comme les sources de données externes/internes à acquérir, les échanges avec les entités d’AXA, la compliance avec les régulateurs en termes de data privacy, la définition de business model pertinents pour les nouveaux services, le développement de partenariats autour de la donnée avec des startups et grandes entreprise, etc
Minimum Requirements: Excellente connaissance des secteurs des services internet en B2C et B2B (notamment liés aux objets connectés) et des services financiers (assurance, assistance, banque, etc.). Excellente connaissance des fournisseurs de données sur le marché, de l’open data, et expérience d’utilisation de bases de données externes, voire publiques, pour concevoir des services innovants. Bonne connaissance des technologies de programmation, modélisation mathématique et de leurs usages, capacité à discuter techniquement avec des développeurs. Connaissance approfondie de la règlementation, au minimum française et européenne, en termes de: protection de la vie privée et des données personnelles (data privacy), protection de la propriété intellectuelle des entreprises (intellectul property)

Published: November 25, 2014   08:17

Dauer: 5 y
Aufgaben: Gesucht wird eine Persönlichkeit, die in einem aktuellen und zentralen Gebiet der Reinen Mathematik hervorragend ausgewiesen ist und deren Forschungsinteressen die vorhandenen Gebiete sinnvoll ergänzen und weitere Kooperationen erwarten lassen. Von den Bewerberinnen und Bewerbern wird die Bereitschaft vorausgesetzt, an koordinierten interdisziplinären Programmen mitzuwirken und sich in die Zusammenarbeit der Universitäten in Niedersachsen, insbesondere im Rahmen der Niedersächsischen Technischen Hochschule (NTH), in Forschung und Lehre einzubringen

Deadline: December 12, 2014 | Published: November 25, 2014   08:16

Abteilung: Niedersächsisches Studienkolleg
Pensum: 3 bis 8 Wochenstunden
Aufgaben: Der Aufgabenbereich umfasst die Vorbereitung ausländischer Studienbewerber auf die Feststellungsprüfung im Fach Mathematik, mit der die für ein Hochschulstudium notwendigen Kenntnisse nachgewiesen werden
Anforderungen: abgeschlossenes Hochschulstudium in Mathematik
Gewünschte Anforderungen: ein abgeschlossenes Lehramtsstudium oder eine Promotion sowie Erfahrungen im Unterricht mit ausländischen Studierenden

Deadline: December 5, 2014 | Published: November 25, 2014   08:15

Department: Swiss Competence Center for Energy Research-Supply of Electricity
Workload: 100%
Duties: The successful candidate will work at the science-society interface and will analyze and develop research-informed risk communication and public engagement strategies for deep geothermal and hydro power. These strategies will be based on the quantitative assessment of electricity supply risks, monitoring of public perception, development and testing of different communication strategies, and exploration of the role of mass media. The PhD thesis will thus include mixed methods, such as quantitative modeling, interviews, focus groups, psychological experiments and media analysis
Minimum Requirements: In order to qualify for the position, candidates are required to have the completed Master’s degree. The candidates can come from (i) engineering, natural sciences or mathematics background with keen interest in social sciences and commitment to work at the science-society interface, or from (ii) social sciences or humanities background with proven quantitative skills (advanced statistics and/or modeling of social systems)

Published: November 25, 2014   08:07

Department: Internal Medicine
Workload: 100%
Duties: Support research related to infectious diseases, with a focus on hospital-associated infections including MRSA and influenza and with an opportunity to become involved in ongoing clinical and population-based research, and to identify and lead independent research projects
Minimum Requirements: PhD degree or equivalent in epidemiology or statistics, with hands on knowledge of large administrative databases, including Veterans Affairs databases; experience studying infectious diseases; competency of appropriate software systems for manipulation of large datasets; proven ability to work with a wide variety of data structure, coding schemes, and data sources; excellent skill in data manipulation and linkage of datasets. Must be authorized to work in the U.S

Deadline: April 15, 2015 | Published: November 24, 2014   19:14

Workload: 100%
Duties: Responsible for Market and Credit Short Term Economic Capital (STEC) and Market Consistent Duration gap. Quarterly reporting, including in depth analysis and communication of the results. Coordinating the Variable Annuity (VA) Financial STEC data requirements with the Centralized Modeling, Hedging and Derivatives team. Leading the periodic projection of Financial STEC across various annual step deterministic paths. Working with AXA Group Risk Management and local teams to improve the VA STEC modeling. Calculating and reporting the quarterly market consistent duration gap and providing monthly estimates in between full calculations
Minimum Requirements: FSA or Quantitative Analyst with 5+ years of Risk Management or asset liability management experience. SOA CERA designation and/or Capital Market experience is a plus

Published: November 24, 2014   17:00

Workload: 100%
Duties: Assists senior staff in completing specifically assigned tasks such as data gathering, data analysis and report preparation. Monitors fluctuations in asset portfolio and monitors ALM exposure. Creates, calibrates and maintains a liability analytics model to predict the behavior and attributes of the underlying liabilities. Works with investment management groups to help provide recommendations to maximize yield and minimize risk exposure. Assists with day-to-day communication with asset managers and supports analytical and quantitative work involved in portfolio management
Minimum Requirements: 5-8 years analytics experience. Bachelor Degree, with a quantitative/analytical focus
Preferred Requirements: Medium to Advanced proficiency in statistics. Medium to Advanced knowledge of the fixed income investment markets and securities. Basic knowledge of the insurance industry

Published: November 24, 2014   17:00