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Helvetia Versicherungen (Helvetia); Basel, Switzerland

Published: February 28, 2017   10:27

Department: Aktuariat
Duration: Festanstellung
Duties: Personelle und fachliche Führung und Weiterentwicklung der Aktuariats Leben Schweiz mit rund 20 Mitarbeitern; Verantwortung über einen grossen Teil der Passivseite des Schweizer Lebengeschäfts, sei dies im Rahmen der Reservierung, der Bewertung für Solvenzzwecke oder des Embedded Values; Enge Zusammenarbeit bezüglich Asset & Liability Management mit dem Bereich Anlagen; Verantwortlich für die Tarifierung, Überschussbeteiligung und Profitabilitätsberechnungen des Schweizer Lebengeschäfts in enger Zusammenarbeit mit den Bereichen Einzelleben sowie Kollektivleben; Verantwortlicher Aktuar für die Helvetia Leben
Minimum Requirements: Abgeschlossenes Universitätsstudium, Aktuar SAV oder vergleichbare ausländische Qualifikation; Mehrjährige Erfahrung in der Lebensversicherung als auch in der Führung; Analytische Fähigkeiten sowie offene und kommunikative Persönlichkeit; Überzeugendes Auftreten und Fähigkeit zur konstruktiven und vertrauensvollen Zusammenarbeit mit anderen Bereichen

Zurich Insurance Company Ltd (Zurich); New York, United States

Published: February 28, 2017   10:25

Workload: 100%
Duties: In this role, you will support all aspects of actuarial reporting for Life insurance products: coordinating and executing reserving; financial reporting and actuarial analysis across various reporting bases including Market Consistent Embedded Value (MCEV), IFRS (including US GAAP) and local statutory reporting; support to financial planning; communicate results to Finance colleagues and Senior Management
Minimum Requirements: Bachelor’s degree. 5 or more years of actuarial experience that includes pricing and/or valuation experience in one or more of the key life product groups: Universal Life, Variable Universal Life and Term Life
Preferred Requirements: FSA. • Experience with actuarial modeling software such as Prophet, MG-ALFA or GGY Axis. • Strong written and verbal communication. • Excel and/or VBA and/or Access and/or SQL and/or other programming language such as Perl, SAS or C. • Knowledge of Prophet actuarial modelling software, or other actuarial tool for the life industry such as MG ALFA, GGY Axis. • Knowledge of US statutory reserving methods and guidelines, both current and upcoming; UL CRVM, XXX, AG38, VM20. • Knowledge of IFRS reserving methods and guideline. • Knowledge of Embedded Value

Alexander von Humboldt-Stiftung (AvH); Germany

Published: February 28, 2017   10:25

Duties: Förderung von weltweiten Forschungsaufenthalten für Wissenschaftlerinnen und Wissenschaftler aller Karrierestufen und Fachgebiete aus Deutschland. Bewerber wählen einen Gastgeber aus rund 15.000 Wissenschaftlern aus dem Humboldt-Netzwerk im Ausland

Zurich Insurance Company Ltd (Zurich); Schaumburg, Illinois, United States

Published: February 28, 2017   10:24

Workload: 100%
Duties: Learn about business challenges and build hypotheses for solving these strategic and operational challenges. Be part of the team developing collaborative relationships across the organization. Support innovation, development and improvement in analytic techniques and capabilities. Contribute to project tasks and timelines. Learn project management and change management skills. Transform data, test and validate hypotheses, to generate distinctive analytical insights that can deliver improved business results. Support the synthesis of distinctive risk insights into compelling ideas and messages
Minimum Requirements: Currently enrolled in a college/university or graduate program pursuing a degree in Statistics, Analytics, Actuarial Science, Mathematics, Economics, Physics, Engineering, Computer Science, or other relevant degree. Minimum cumulative GPA of 3.0
Preferred Requirements: Strong written and verbal communication skills; experience summarizing and presenting information in a way that provides clarity and engagement. Experience with data transformation and data manipulation techniques. Exposure to a variety of data sources, i.e., structured and unstructured. Experience with statistical techniques such as regressions, generalized linear models (GLM) or decision trees. Familiarity with programming and data tools such as SAS, R, Java, C++, Python, MATLAB, other programming languages and statistical packages, relational databases, Hadoop, SQL, Hive, or Pig. Ability to apply statistical methodologies to solve business problems. 3.2 GPA preferred

Sidenis LLC (Sidenis); Saint Petersburg, Russia

Published: February 28, 2017   10:24

Duties: We aim to strengthen our developer teams with a strong statistical and numerical software engineer. You will develop ‘state of the art’ algorithms for fast stochastic and numerical solutions. You will contribute to a core added value of our software products for our clients. You will cooperate in agile teams with other developer colleagues, business analysts and client representatives locally and virtually
Minimum Requirements: Master’s degree with strong mathematical focus. Outstanding skills in analytic and conceptual thinking. Exceptional strength in statistics, stochastic modeling and numerical methods. Can work in an area with lots of legacy code. Refactoring of numerical calculations. Knowledge of object oriented concepts. Programming skills in at least one language at a professional level is a must (Java is preferable). Open to work with a predefined tech stack and is willing to adapt and quick in learning a new language. Sound communication skills in English language — verbal and written. At ease in collaborating in cross-cultural and virtual teams. Ability to adapt to a changing work environment. Willing to make proposals and take on responsibilities
Preferred Requirements: A successful track record in applying math to practical business issues in the financial sector would be an advantage

Children's Hospital of Philadelphia (CHOP); Philadelphia, Pennsylvania, United States

Published: February 28, 2017   09:44

Duties: The Information Analyst is a critical role to DST’s ability to develop and promote the use of information and knowledge discovery for clinical, financial, operational, market and service analyses to inform management decision-making, enhance operations, and improve clinical outcomes based on delivery of evidence in ways that simplify decision-making. It is of utmost importance that this process complies with human computer interaction and user-centric design best practices. The successful candidate must have a clear understanding of the ideal balance between information technology and data science in order to help design and implement better information systems and devise visual interfaces that will increase its efficiency of use
Minimum Requirements: Masters training in Computer Science, Information Systems, Statistics, Mathematics, Biostatistics, or another quantitative science field. Non-degree graduate coursework such as a graduate certificate in Analytics, Statistics, or Data Science strongly preferred. 3 or more years of relevant experience is required. Experience with the integration of large and complex data sets. 3 or more years of experience with applied data science: statistics, machine learning, or mathematical modeling projects
Preferred Requirements: Exhibits a strong “entrepreneurial” spirit including, but not limited to, accepting ownership of complex tasks with little supervision and dealing well with ambiguous situations. Experience on acquiring new technical/analytic skills and domain knowledge to support successful contribution to research and development projects is required. Demonstrated knowledge of relational databases, complex data integration, and database design. Excellent knowledge with database management systems SQL (Postgres, MySQL, Oracle, SQL Server) and OLAP implementations. Experience using existing machine learning and analytic tools such as ScikitLearn, Weka, R, and H2O in either applied educational or professional projects is required. Experience writing code in either applied educational or professional projects using one or more of the following languages: Python, Scala, Java is required. Strong interest in database management, data mining and business analysis. Interest in healthcare, although experie...

United Arab Emirates University (UAEU); Al Ain, Emirate of Abu Dhabi, United Arab Emirates

Published: February 28, 2017   09:08

Department: Mathematical Sciences - (COS)
Duration: 1+ y       
Workload: 100%
Duties: The aim of the project is to classify orthogonal preserving quadratic operators and study their properties. Moreover, it is going to investigate infinite dimensional Volterry type quadratic operators such as dynamical behavior and the set of fixed points etc
Minimum Requirements: Master degree in Mathematics with specialization in Functional Analysis. Candidate is expected to have solid background on Functional Analysis, Dynamical systems and Nonlinear Analysis. Proficiency in English is required (written and oral)
Preferred Requirements: At least three (3) publications in Web of Science (ISI) indexed journals on dynamical systems

Bundesanstalt für Verwaltungsdienstleistungen (BAV); Offenbach am Main, Germany

Deadline: March 27, 2017 | Published: February 28, 2017   08:50

Department: Deutsche Wetterdienst (DWD)
Duties: Selbständige wissenschaftliche Entwicklung der Verfahren zur Bestimmung und Kurzzeitvorhersage von spektral aufgelöster solarer Einstrahlung. primär durch die Vorhersage der Wolkenbewegung anhand der Verlagerungsvektoren auf Basis der im DWD verfügbaren „optical-flow“-Verfahren. Berücksichtigung des Verlust des PV-Ertrages durch Schneebedeckung. Selbständige wissenschaftliche Auswertung und Analyse der Validationsergebnisse mittels Vergleich der Messdaten der solaren Einstrahlung sowie PV-Ertragsdaten. Koordination der Arbeiten im Kontext des Energie-Meteorologie Netzwerkes
Minimum Requirements: Erfolgreich abgeschlossenes naturwissenschaftliches Hochschulstudium (Universitätsdiplom/-Master), vorzugsweise der Meteorologie, Physik, Ozeanographie oder vergleichbare Fachrichtung. Kenntnisse der deutschen Sprache in Wort und Schrift (mind. Level C1 CEFR). Kenntnisse der englischen Sprache in Wort und Schrift (mind. Level B2 CEFR). Bereitschaft zur Teilnahme an Dienstreisen im In- und Ausland zu bspw. Projekttreffen, Präsentationen auf Konferenzen
Preferred Requirements: Kenntnisse und Erfahrung in der Entwicklung von Verfahren zur Auswertung von Satellitendaten, insbesondere der Bestimmung atmosphärischer Parameter auf Basis von Strahlungstransfermodellen und mittels numerischer Methoden. Kenntnisse in der Satellitenfernerkundung und/oder der Energiemeteorologie. Kenntnisse und Erfahrungen in der Programmierung mit C/C++ und/oder Fortran95 bzw. Java. Erfahrung in der Programmierung mit Skriptsprachen wie bspw. awk, Perl, Python und/oder sh-scripting. Kenntnisse und Erfahrung in der Erstellung und Auswertung von Validationsergebnissen. Kenntnisse und Erfahrungen in der Durchführung von Projekten. Befähigung zum selbständigen wissenschaftlichen Arbeiten. Konzeptionelles und analytisches Denken und Handeln mit hoher Zielorientierung. Fähigkeit zum Umsetzen komplexer theoretischer Ansätze in praktisch nutzbare Verfahren. Kommunikationsvermögen i.V.m. einem sicheren Ausdrucks- und Darstellungsvermögen. Kooperationsfähigkeit. Flexibilität. Planung...

FH Aachen; Nordrhein-Westfalen, Germany

Deadline: May 31, 2017 | Published: February 28, 2017   07:58

Duration: 3 y
Duties: Mathematisch-technische Softwareentwickler beschäftigen sich mit den Schwerpunkten Mathematik, Informatik und Programmierung
Minimum Requirements: Hochschulreife (Abitur) oder Fachhochschulreife (Fachabitur). Interesse an Informationstechnologie. Spass an der Mathematik und Verständnis von mathematischen Aufgabenstellungen. Englischkenntnisse zum Lesen von Fachliteratur

Universität Kassel; Kassel, Hessen, Germany

Deadline: May 13, 2017 | Published: February 27, 2017   19:56

Department: Institut für Mathematik
Duration: 4+4 y       
Workload: 50%
Duties: Der Aufgabenbereich umfasst die Organisation und Durchführung von Schulpraktika sowie die Durchführung praxisorientierter Lehrveranstaltungen für Studierende des Faches Mathematik für die Grundschule. Der Stelleninhaberin/dem Stelleninhaber eröffnet sich die Möglichkeit, bei der Weiterentwicklung der Lehrkonzepte ebenso mitzuwirken wie bei mathematikdidaktischen Forschungs- und Entwicklungsprojekten
Minimum Requirements: Voraussetzung sind ein Studium für Mathematik (Lehramt an Grundschulen), die zweite Staatsprüfung und eine mindestens dreijährige Schulpraxis nach der zweiten Staatsprüfung

KPMG AG Wirtschaftsprüfungsgesellschaft (KPMG); multiple locations, Germany

Published: February 27, 2017   19:55

Duties: Zusammenarbeit in Data & Analytics-Projekten, von der Identifikation von Anforderungen über die Modellierung von Analysen bis hin zur Präsentation der Ergebnisse. Erhebung, Konsolidierung und Qualitätssicherung von Daten aus öffentlichen und kundenspezifischen Quellen. Entwicklung von statistischen (deskriptiven und vorhersagenden) Analysen mit Hilfe von aktuellen Machine Learning, Data Mining-Methoden und aktuellen Tools. Unterstützung in der Überführung von Prototypen in hoch skalierbare Infrastrukturen und Operationalisierung der Lösungen. Optimierung von Datenstrukturen und Rohdaten und ihre Aufbereitung zur Weiterverarbeitung in Advanced Analytics Technologien
Minimum Requirements: Studium der (Wirtschafts-)Informatik, Mathematik, Physik, Ingenieurwissenschaften oder einer vergleichbaren Studienrichtung. Erste bis mehrjährige Berufserfahrung im IT-Umfeld. Kenntnisse mit relationalen Datenbanken (z.B. Microsoft SQL, Oracle SQL oder SAP Hana) sowie auch NoSQL Datenbanken (z.B. Cassandra, HBase und MongoDB) und verteilten Datenbankensystemen (z.B. Hadoop). Theoretische Kenntnisse in Advanced-Analytics-Methoden sowie auch praktische Erfahrung mit entsprechenden Tools, z.B. R, SAS, SPSS, Matlab, NumPy, SciPy oder Pandas. Erfahrung mit objektorientierten Programmiersprachen, z.B. Scala, Java, C# oder Python. Erste Kenntnisse im Design und in der Implementierung von Extract-Transform-Load (ETL) Prozessen, z.B. SQL Server Integration Services, Mahout oder Alteryx. Erste Erfahrungen mit Streaming- und Messaging-Diensten, z.B. Kafka oder Storm sowie mit Datenvisualisierungstools, z.B. Micro Strategy, Tableau, Power BI oder Qlik. Fliessende Deutsch- und Englischkenntnisse

Brunel GmbH; Germany

Deadline: March 22, 2017 | Published: February 27, 2017   19:54

Duties: Ihre Hauptaufgabe ist die Programmierung in objektortientierten Hochsprachen. Es handelt sich dabei sowohl um Neuentwicklungen von Modulen als auch um kundenspezifische Anpassungen und Erweiterungen. Sie nehmen an Besprechungen teil und klären die technischen Anforderungen des jeweiligen Projektes, dazu arbeiten Sie eng mit Ihren Kollegen aus anderen Abteilungen zusammen
Minimum Requirements: Für diese anspruchsvolle Einstiegsaufgabe verfügen Sie über ein Studium der Informatik, der informatik-orientierten Mathematik oder der Ingenieur- bzw. Wirtschaftsinformatik. Sie haben in Ihrer Abschlussarbeit oder im Praxissemester erste fundierte Kenntnisse in der Softwareentwicklung erworben. Optimal haben Sie diese Erfahrungen mit objektorientierten Konzepten sowie in der Anwendung von Design Patterns erworben. Die Beherrschung einer weiteren Programmiersprache neben C++ und/oder Java ist von Vorteil

CeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences; Wien, Austria

Deadline: March 31, 2017 | Published: February 27, 2017   18:20

Workload: 100%
Duties: The consortium will investigate principles that underlie switches in transcription directed by the chromatin landscape and 3D structure, such as those that occur in normal and aberrant development, in the reaction to infection, and in carcinogenesis. Consortium members have expertise in areas as comprising immunity, inflammation, hematopoietic malignancies, pharmacogenomics, epigenetics, bioinformatics, ‘disease-tailored’ mouse models, and genome editing. The consortium’s mission is to pave the way for novel therapeutic possibilities, especially with regard to personalized medicine
Minimum Requirements: We are looking for highly motivated and academically outstanding candidates who want to advance their scientific career in the field of bioinformatics and computational systems biology. A strong candidate may have a background in the computational sciences (bioinformatics, statistics, physics, engineering, etc.) and some prior experience with collaborative research in high-throughput biology. In the same way, we are considering applicants with a background in medicine or in biology (e.g., functional genomics, chemical biology, human genetics, molecular medicine, etc.) who have strong quantitative skills and a keen interest in pursuing systems medicine projects. The successful candidates will have the opportunity to pursue bioinformatic methods development and lead consortium-wide analyses at the cutting edge of molecular systems biology. They will be trained by the entire consortium and associated faculty, empowering them to make major contributions to future of pathway-driven personal...

University College London (UCL); London, United Kingdom

Deadline: March 14, 2017 | Published: February 27, 2017   14:27

Department: Great Ormond Street Institute of Child Health
Duration: 6 m       
Workload: 60%
Duties: Applications are invited for the position of Data Manager to work on the CAPS (Childhood Arthritis Prospective Study) in the Rheumatology department at the UCL Great Ormond Street Institute of Child Health, additionally providing recruitment support to wider departmental JIA research recruitment. The post involves undertaking administrative, clerical and research roles in both academic and clinical settings. The post holder will be responsible for local data monitoring, input and recruitment
Minimum Requirements: Applicants will be educated to A Level standard with at least ‘C’ grade in GCSE Maths and English. It is desirable that applicants will ideally have a first degree or equivalent, preferably in a numerate/scientific discipline, or significant experience in a similar role. The post holder should have experience of clinical research and data collection, preferably working within the NHS or other medical/clinical environment. The post holder must have good communication (both verbal and written) skills and the ability to establish and maintain good relations with a wide range of individuals, including patients and families, be able to work as part of a team as well as independently, and show good time management, multitasking and organisational skills

Gottfried Wilhelm Leibniz Universität Hannover; Hannover, Niedersachsen, Germany

Deadline: March 25, 2017 | Published: February 27, 2017   14:10

Department: Institut für Kontinuumsmechanik
Duration: 3 y       
Workload: 100%
Duties: Der Aufgabenbereich im Bereich der Forschung umfasst den Bereich Materialmodellierung für Betone. Sie übernehmen ausserdem Aufgaben aus dem Bereich der Lehre und sammeln Führungserfahrung bei der Betreuung von Studierenden im Rahmen von Abschlussarbeiten. Im Rahmen der Tätigkeit am Institut für Kontinuumsmechanik besteht die Möglichkeit eine Promotion zur/zum Dr.-Ing. abzuschliessen
Minimum Requirements: Sehr gut abgeschlossenes ingenieurwissenschaftliches Hochschulstudium, gerne auch aus dem Bereich der Mathematik, Physik oder Materialwissenschaften. Sehr gute Kenntnisse in der Kontinuumsmechanik und der Numerischen Mechanik, insbesondere der Finite-Element-Methode (FEM). Sehr gute Deutschkenntnisse (mind. Zertifikat B2) und sehr gute Englischkenntnisse in Wort und Schrift. Teamfähigkeit, Leistungsbereitschaft und Begeisterungsfähigkeit

Technical University of Denmark (DTU); Kongens Lyngby, Lyngby-Taarbæk Municipality, Denmark

Deadline: March 27, 2017 | Published: February 27, 2017   13:52

Department: DTU Compute
Duties: The successful candidate is expected to build up a portfolio of common research projects and research-based services within mathematics and nonlinear dynamical systems aimed at industry, public agents, other DTU partners as well as international partners. To further develop core competences within applied mathematics and nonlinear systems for the technical sciences; such as nonlinear partial differential equations, reaction diffusion advection problems, complexity, spatio-temporal pattern formation and solitons, with applications to optics, life-science, physics, superconductivity and traffic models
Minimum Requirements: A high level of original scientific production at international level that has contributed to the further development of the subject area in question. Documented and successful teaching experience at different levels within University study programmes, including and in particular at the PhD level. Documented experience in at least one of the following two fields: Research management, including handling management tasks in national or international projects, research programmes, and congresses. Innovation, including building up patent areas and applying research results in a commercial context

Marsh & McLennan Companies, Inc. (MMC); Edinburgh, United Kingdom

Published: February 27, 2017   13:50

Workload: 100%
Duties: Assisting the lead consultant on the delivery of strategic and day to day consulting advice that requires detailed ongoing client knowledge as well as good working relationships with key client contacts. Contributing to client meeting preparation e.g. setting the agenda and content for meeting packs; and liaising with the client and senior consultants. Working with the RSC, specialty groups and other Mercer businesses to deliver a streamlined service to clients. Dealing with routine queries received from clients, scheme members, third parties and other Mercer businesses. Getting involved in valuation and accounting processes e.g. project management, liaising with the internal stakeholders etc
Minimum Requirements: A broad understanding of how UK pensions schemes operate and the ability to interpret rules and awareness of what they mean for client work. Good analytical skills and ability to work through tasks in a logical manner. Strong IT skills with good working knowledge of Microsoft Office, including Excel. Excellent planning and organisational ability in order to prioritise and complete work in accordance to deadlines. Educated to degree level (minimum 2: 1) in a numeric subject and ideally studying towards a professional pensions qualification i.e. Actuarial or PMI

University of Reading; Reading, Berkshire, United Kingdom

Published: February 27, 2017   13:50

Department: Meteorology
Duration: 2 y       
Workload: 100%
Duties: We are seeking to recruit a talented, statistically literate researcher with experience in observational Earth Observation to work on climate data records and their quality for climate science and decision making. This work will be part of the Copernicus Climate Change service (C3S), which is a European initiative to provide comprehensive climate information covering a wide range of components of the Earth-system and timescales spanning decades to centuries to be used by researchers and decision makers alike. A key concept of the service is to set up a climate data store which is authoritative and quality assured to provide datasets for studies of the part, current and future state of climate across Europe and the rest of the world
Minimum Requirements: A relevant PhD and numerate qualifications. Enthusiasm, ideas and willingness to collaborate with the project’s partners. Good understanding of relevant statistics and concepts of uncertainty. Skills in handling and analysing large datasets, ideally with experience of environmental data. Broad knowledge of physics, Earth Observation and/or climate

Airbus Group; Munich, Germany

Published: February 27, 2017   13:50

Workload: 100%
Duties: Designing, managing and improving a big data analytics platform to turn data into valuable information for our customers. Streamlining and right-sizing real-time data feeds that populate the analytics platform channels, enriching with additional data to deliver services to our customers as data and/or information services. Designing a scalable infrastructure and platform for very large amounts of data ingestion, aggregation, integration and advanced analytics. Designing databases & data collection systems, performing data analytics and other strategies that optimize data
Minimum Requirements: Bachelor`s degree in Mathematics, Economics, Computer Science, Information Management, Statistics or equivalent. Proven working experience as a service-oriented architect or business data analyst. Knowledge of statistics and experience using statistical packages for analyzing datasets. Experience in Big Data and AI (IBM Watson, Palantir, SAP Hana, …). Experience with multiple cloud computing platforms. Strong knowledge of and experience with reporting packages (Business Objects etc), databases (SQL etc), programming. (XML, Javascript, or ETL frameworks). Technical expertise regarding data models, database design development, data mining and segmentation techniques
Preferred Requirements: Proven experience in the successful creation of big data services for real time applications will be a big plus for this job

University of Leeds; Leeds, West Yorkshire, United Kingdom

Deadline: March 26, 2017 | Published: February 27, 2017   13:49

Department: School of Geography
Duration: 3 y       
Workload: 100%
Duties: You will be responsible for generating synthetic estimates of household composition and demographic attributes and for the future projections of household composition. These projections will be used to explore future household infrastructure demand in different social, economic and policy scenarios. Characteristics that influence household demand for infrastructure services will be assigned from new socio-economic datasets, including those recently made available by the Consumer Data Research Centre (CDRC). These might include household consumption records, social media traffic, movement data and capacity data
Minimum Requirements: A first degree and PhD (or close to completion) in demography, statistics, geography, quantitative social science or a closely allied discipline. A strong background in demographic analysis, spatial analysis and/or statistics. Demonstrated experience of conducting high quality research

The MathWorks, Inc.; Delhi, India

Published: February 27, 2017   13:47

Workload: 100%
Duties: As a Pre-Sales Application Engineer for the Data Analytics/Data Science application areas, you will partner with our most innovative customers to establish MATLAB as a platform for data analytics by: developing data analytics and machine learning algorithms in MATLAB; integrating MATLAB with structured and unstructured databases (eg. HADOOP and SPARK); deploying applications developed in MATLAB to an enterprise-wide system. You will work in a pre-sales manner with our customers to first identify and understand their technical and business challenges and then develop compelling demonstrations of solutions that help them appreciate how the adoption of MathWorks products add value towards enhancing their workflows
Minimum Requirements: A bachelor's degree and 7 years of professional work experience (or a master's degree and 5 years of professional work experience, or a PhD degree) is required. Candidates must be willing to travel 25% to 50% of the time
Preferred Requirements: Masters degree in Math, Science, or Engineering. 4-7 years of relevant industry experience. Strong knowledge of computational analysis (e.g. Machine Learning, data mining), modeling, statistics, and algorithm development tasks. Strong knowledge of analytics software (such as MATLAB, R, Python). Experience in developing technical software in a professional environment using programming languages such as C, C++, Visual Basic, .NET, JAVA, C#, ASP, COM.Experience (and enthusiasm for!) MATLAB is essential. Experience with largescale data analysis using parallel and distributed processing algorithms, including Hadoop frameworks is a plus

Airbus Group; Munich, Germany

Published: February 27, 2017   11:38

Department: Enterprise Solutions
Workload: 100%
Duties: Working with Business stakeholders to identify the business requirements and the expected outcome. Modelling and framing business scenarios that are meaningful and which impact on critical business processes and/or decisions. Collaborating with Business subject matter experts to select the relevant sources of information. Identifying what data is available and relevant, including internal and external data sources, leveraging new data collection processes such as smart meters and geo-location information or social media. Working with IT teams to support data collection, integration, and retention requirements based on the input collected with the business
Minimum Requirements: Bachelor’s degree in mathematics, statistics or computer science or related field. 3-5 years of relevant quantitative and qualitative research and analytics experience. Solid knowledge of statistical techniques. Strong programming skills (such as Hadoop MapReduce or other big data frameworks, Java), and statistical modeling. (like SAS or R). Experience using machine learning algorithms. Proficiency in the use of statistical packages. Proficiency in statistical analysis, quantitative analytics, forecasting/predictive analytics, multivariate testing
Preferred Requirements: Master degree preferred. Experience in agile project methodologies is a plus (i.e. SCRUM)

Wageningen University and Research Centre (WUR); IJmuiden, Netherlands

Published: February 27, 2017   11:38

Workload: 100%
Duties: In your work, you will plan, lead, and analyse data from acoustic ecosystem monitoring projects. You will develop and carry out research related to hydro acoustic observation techniques, integrate the fish and ecosystem survey programme with the assessment of pelagic stocks and ecosystem components, take active part in the policy advice process, and attend relevant international expert fora (particularly within context of ICES) that are part of your existing network. You will contribute strongly to the visibility of Wageningen Marine Research as an expert organisation and appreciated knowledge partner, attract new clients and relationships, and develop new leads resulting in new projects and funding
Minimum Requirements: An ambitious researcher with an academic postgraduate qualification (preferably with a PhD) in hydro acoustics, Biological Sciences, Mathematics or Engineering. A good quantitative background with training in statistics and/or mathematics is a must. You have substantial relevant work experience in hydro acoustics, ocean engineering or applied mathematics and demonstrable experience in running acoustic monitoring projects at sea, including experience of survey design, equipment calibration and data analysis. This is a scientific post requiring strong analytical skills. You are familiar with spatial models and experienced in the analysis and evaluation of large datasets. Knowledge of a programming language such as R or MATLAB is essential
Preferred Requirements: Experience with stock assessments is an advantage

SCOR Rückversicherung Direktion für Deutschland (SCOR); Köln, Nordrhein-Westfalen, Germany

Published: February 27, 2017   11:32

Department: SCOR Global Life Risk Management
Duties: Collect input across the division to produce the quarterly life risk dashboard; Contribute to the operational risk reporting of the division and the Group; Support legal entities outside of the EU within SGL with their local regulatory reporting, such as ORSA reports, including monitoring of common standards; Monitor, assess and evaluate emerging risks relevant to life insurance; Participate in projects on group level both on a scheduled and on an ad-hoc basis; Contribute to the maintenance and evolution of SCOR’s ERM framework, standards and processes; Foster risk culture
Minimum Requirements: University degree with a strong mathematical component required; 3 years or more experience in reinsurance or insurance; International experience would be beneficial; Excellent communication skills; Excellent English both oral and written; Good team player; Strong analytical and conceptual competence; Able to work flexibly and independently; Good office software skills; Interest in working in an international environment and willingness to travel occasionally

Schweizerischer Nationalfonds zur Förderung der wissenschaftlichen Forschung (SNF); Switzerland

Deadline: September 1, 2017 | Published: February 27, 2017   11:00

Duration: 1-1.5 y
Duties: Early Postdoc.Mobility-Stipendien richten sich an Postdocs am Anfang ihrer Karriere, die an einem Forschungsinstitut im Ausland ihr wissenschaftliches Profil verbessern möchten. Die Stipendien umfassen einen Beitrag für die Deckung der Lebenshaltungskosten, eine Pauschale für Reisespesen und einen allfälligen Beitrag an die Forschungs- und Kongresskosten sowie an Einschreibegebühren. Die Beitragsdauer beträgt grundsätzlich 18 Monate, in gut begründeten Fällen mindestens 12 Monate
Minimum Requirements: Abgeschlossenes Doktorat (PhD) oder Promotion in den nächsten 9 Monaten, oder abgeschlossene medizinische Ausbildung mit Doktorat (MD). Einreichung bis zu 2 Jahre nach Erlangung des Doktorats (Medizinerinnen und Mediziner: bis zu 6 Jahre nach dem Staatsexamen); Ausnahmen sind in begründeten Fällen möglich. Schweizerisches Bürgerrecht, eine gültige schweizerische Niederlassungs-, Aufenthalts- oder Grenzgängerbewilligung oder Ehe bzw. eingetragene Partnerschaft mit einer Schweizerin oder einem Schweizer. Mindestens 3 Jahre Tätigkeit an einer Forschungseinrichtung in der Schweiz (für ausländische Gesuchstellende)

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