Duties: The successful candidates will join a strong and motivated research team lead by Prof. Gilbert Fridgen. They will carry out research in the context of Prof. Fridgen’s PayPal-FNR PEARL Research Grant (e.g. on automated trading in future power systems) and/or the SynErgie II Research Project. In SynErgie II we analyze, how the growing production fluctuation associated with an increasing share of renewables can be tackled by demand-side flexibility of industrial energy consumers. In particular, we focus on IT-based solutions for the energy system by building a corresponding platform for future flexibility trade
Minimum Requirements: Qualification: We welcome candidates with a M.Sc. degree in Computer Science, Data Science, Statistics, or Information Systems, who are interested in working on the intersection field of digitalization and energy systems. We require commitment, team working, and a critical mind of the candidate. Proven research experience will be considered as an advantage (publications, awards, and other relevant aspects included in the CV will be considered). Experience: Knowledge in the following areas is advantageous but not mandatory: Skills in Data Analytics software (e.g. R, SPSS); Basic knowledge in Machine Learning; Basic skills in Java or Python; Knowledge about the energy system or energy markets; Knowledge about the potential of digital technologies; Basic skills in modelling and optimization; Language Skills: Fluent written and verbal communication skills in English are mandatory. Knowledge of French or Luxembourgish is desirable. for SynErgie II, German language skills are mandatory, for ...

Duties: The successful candidates will join a strong and motivated research team lead by Prof. Gilbert Fridgen. They will carry out research in the context of Prof. Fridgen’s PayPal-FNR PEAL Research Grant in order to pursue a doctoral degree on the following topics: Distributed Ledger Technologies; Performance analyses/optimization; Requirements analyses
Minimum Requirements: Qualification: The candidate should possess an M.Sc. degree or equivalent in Computer Science, Information Systems Engineering, Applied Mathematics, or a related subject. He should have experience in programming and be highly motivated to explore new features and find creative solutions to technical challenges. Experience: The ideal candidate should have some knowledge and experience in a number of the following topics: Economic applications of Information and Communication Technology; Distributed Databases, Blockchain, or a related topic; and be familiar with the principles of; Basic statistics and quantitative evaluation of measurements; Programming in multiple languages; Development skills in Linux (Bash), Python, Javascript, or related languages are very helpful. Familiarity with Amazon Web Services, blockchain-specific languages such as Solidity, or functional languages, are “cherries on the cake”. Language Skills: Fluent written and verbal communication skills in English are ...

Duties: The successful candidates will join a strong and motivated research team lead by Prof. Gilbert Fridgen. They will carry out research in the context of Prof. Fridgen’s PayPal-FNR PEARL Research Grant (e.g. on automated trading in future power systems) and/or the SynErgie II Research Project. In SynErgie II we analyze, how the growing production fluctuation associated with an increasing share of renewables can be tackled by demand-side flexibility of industrial energy consumers. In particular, we focus on economic incentive structures, market design options, policy analyses, or decentralized market places in the future energy market and energy system
Minimum Requirements: Qualification: We welcome candidates with a M.Sc. degree in Management, Economics, Finance, (Financial) Mathematics, or Information Systems, who are interested in working on the intersection field of energy markets and digitalization. We require commitment, team working, and a critical mind of the candidate. Proven research experience will be considered as an advantage (publications, awards, and other relevant aspects included in the CV will be considered). Experience: Knowledge in the following areas is advantageous but not mandatory: Economic modelling and time series analysis; The electricity system and energy markets; Language Skills: Fluent written and verbal communication skills in English are mandatory. Knowledge of French or Luxembourgish is desirable. for SynErgie II, German language skills are mandatory. for the PEARL Grant, German language skills are optional

Department: Department of Systems Analysis, Integrated Assessment and Modelling (Siam)
Duration: 2 y       
Workload: 100%
Duties: The project focuses on rainfall-runoff modelling of Swiss catchments and pursues the following main objectives: 1) benchmarking the performance of data-driven models over conceptual models using a wide range of data (including high spatially and temporally resolved precipitation, and satellite observations). The comparison will use a wide range of conceptual models generated with the flexible modelling framework SUPERFLEX and a wide range of data-driven models, including multiple LSTM architectures; and 2) learning from the tradeoffs between data-driven and conceptual models and improving conceptual models by incorporating missing mechanisms. In order to gain knowledge from data-driven models, methods of “interpretable machine learning” will be used, an emerging field of research that has seen limited applications, particularly in environmental modelling
Minimum Requirements: PhD (or equivalent international degree) in hydrology, environmental engineering, machine learning, or a similar field; Demonstrated analytical, written and verbal communication skills and scientific excellence; Excellent quantitative, computational, and programming skills (e.g., Fortran, MATLAB, Python); Ability to work independently and as part of a larger team; Ability to think critically and innovatively; Strong interest in interdisciplinary studies; Domain knowledge in machine learning and hydrology

Duties: Research in one or more of the following topics: functional equations, aggregation function theory, discrete mathematics, Boolean functions and applications; Teaching activity (up to 90 hours/year), tutoring of students, possible supervising of bachelor or master theses
Minimum Requirements: PhD degree in Mathematics; Research experience in at least one of the above mentioned topics; Very good written and oral English skills, knowledge of French being an asset

Duties: Development and verification of the PSI generic criticality safety evaluation methodology; Simulation and analysis with the MCNP® code of relevant criticality safety benchmarks; Application of statistical data analysis methods and machine learning algorithms for evaluation of the validation results; Derivation of the criticality safety criteria for fissile materials configurations; Preparation of scientific publications and technical reports; Contributions to related R&D and teaching activities
Minimum Requirements: PhD degree in reactor physics, nuclear engineering, physics or data science; Background in machine learning, statistical data analysis; Experience in programming and software development; Familiarity with validation procedures and Monte Carlo codes MCNP or SERPENT would be an asset

Duties: As the director you will assume leadership over the institute’s strategy, science and operations. You will strengthen CWI’s national role, develop and maintain close relations with the relevant research groups at Dutch universities and foster academic talent. You represent the Institute nationally and internationally and have a leading role in acquiring and securing external funding. As the director you are pivotal in connecting science with industry and society. You are supported by the Institute Manager who reports directly to you
Minimum Requirements: We are looking for a Director of CWI with an international reputation as a scientist, a proven track record of leading international scientific research collaborations, and a profound insight in the research areas of mathematics and computer science. You are well connected to the national and international research community

Department: Division of Psychology and Language Sciences - Experimental Psychology
Workload: 100%
Duties: We are looking for a Research Fellow interested in the neurobiology of multimodal communication to develop and carry out neuroimaging studies of multimodal real-world communication
Minimum Requirements: Candidates will have a PhD (or be in the process of completing their PhD) in Psychology, Neuroscience, Computer Science or a related field with dissertation work expertise in fMRI. Being qualified to run MRI studies and experience with advanced complex network, MVPA, and/or machine learning based approaches to analysing neuroimaging data are desirable

Department: Theoretical Plasma Physics Laboratory
Duties: Research topic: Plasma turbulent transport simulation for the project, "Exploration of burning plasma confinement physics", under the support of "Fugaku" program
Minimum Requirements: Applicant having (or going to have) a doctoral degree and a research experience on fusion plasma, numerical simulation, or data science in physics applications

Department: Department of Biostatistics
Workload: 100%
Duties: General Description: Biostatistician position candidate will devote effort to two primary assignments, with roughly equal allocation: 1) statistical consultation within the Johns Hopkins Biostatistics Center and 2) data management and basic analysis of a large national study of genetic predisposition and environmental exposure to the development of the disease
Minimum Requirements: Master's degree in biostatistics or statistics; Experience with genetic epidemiology, including genome-wide association studies (GWAS) is preferred; Expertise with standard statistical packages, such as R, STATA and SAS and some experience with specialized software for genetic data analysis such as PLINK will be desired; Two or more years of experience in applied statistical analyses of prospective and retrospective data, including longitudinal, multi-level/hierarchical data, survival analysis, methods for classification and prediction and approaches to missing data; Demonstrated excellence in statistical consulting; Adept at cross-disciplinary collaboration; Effective team player and ability to work independently; Excellent oral and written communication skills

Department: MCS-Mathematics and Computer Science
Duties: The Mathematics and Computer Science Division at Argonne is seeking postdoctoral candidates to address computer and computational science challenges associated with advancing the frontier of quantum computation. Postdoctoral appointees will build, research, and test aspects of the quantum software stack and related enabling technologies
Minimum Requirements: An expected/recent doctoral degree in computer science, applied mathematics, or computational engineering/science, or related fields. Knowledge of computing and experience in one or more of the following areas: Large-scale code development in C, C++, Python or Java; Compilation, circuit optimization, or verification of classical or quantum programs; Development, analysis, or optimization of quantum algorithms; High-performance computing or scientific computing; Coding theory, error correction, or fault-tolerant computing; Mathematical optimization or machine learning

Department: MCS-Mathematics and Computer Science
Duties: Nonlinear optimization, including mixed-integer, multiobjective, stochastic/robust, PDE-constrained, simulation-based, dynamics, derivative-free, and parallel/concurrent optimization; Machine learning, data analysis, and applied statistics; Statistical inference and analysis, sampling, spectral estimation; Stochastic processes, stochastic differential equations; Data assimilation, inverse problems; High-order methods for PDEs/CFD including spectral element methods; Numerical linear algebra focusing on highly scalable preconditioners including matrix-free methods; Numerical methods for ordinary and partial differential equations including error estimators and adjoints; Automatic/algorithmic differentiation
Minimum Requirements: Applicants should have a doctorate degree in computer science, mathematics, statistics, or a related discipline. Applicants should have documented and comprehensive expertise and/or experience in computational mathematics, computational science, or numerical libraries. Programming expertise in C, Python, Fortran, or another programming language is highly desirable; experience with parallel computing, including MPI, OpenMP, or CUDA is desired

Department: MCS-Mathematics and Computer Science
Duties: Postdoctoral Appointee position in the areas of statistics, signal processing, and scientific computing connected with the recently awarded DOE project “Structural Signatures of Hidden Order in Spin-Orbit Coupled Systems”
Minimum Requirements: Considerable knowledge in one or more of the following areas: algorithms and software development for statistics and signal processing. Good proficiency levels in scientific programming languages are also required. Experience with Python, Julia, parallel computing, large-scale computational science, and materials science applications is a plus. Applicants with electrical engineering backgrounds with communications experience will also be considered. PHD required

Duties: Communicate with data provider to source the appropriate data content and format within the expected timelines; Evaluate the completeness and accuracy of the input data with guidance from within the Team and the hedge fund manager; Reconcile the input data with other available data points and clear exceptions/rejects and map/model positions; Evaluate the appropriateness of risk results derived from input data and MSCI analytics; Work closely with the Team within location and Mumbai; Report progress and status to management (status of funds in queue, metrics etc.); Create and maintain a working relationship with fund administrators, HedgeFunds, etc; Increase the number of hedge funds covered in our hedge fund transparency business; Handle ad-hoc requests
Minimum Requirements: Bachelor’s degree. A degree in economics/business/finance; Strong verbal and written English communication skills. Fluent in English; General knowledge of details related to stocks, bonds, futures, forwards., options and other traded instruments; Advanced knowledge of Microsoft Excel is a must; Desirable knowledge of market data systems, programming languages; CFA or CFA candidates is a plus; 5-7 Years of previous working experience in financial investment firms or banks

Workload: 60-100%
Duties: Sie werden in einem jungen, professionellen und engagierten IT-Team arbeiten und darin verantwortlich sein für die Entwicklung massgeschneiderter Lösungen für interne Arbeitsprozesse und externe Tools, beides meist in Form komplexer Webapplikationen basierend auf React und Ruby on Rails. Ihre Arbeit kann dabei alle Software-Engineering-Schritte umfassen: von der Konzeption über die Entwicklung bis zum produktiven Einsatz und Unterhalt. Wir verwenden agile Methoden (inklusive Peer Reviews, Pair Programming, Continuous Integration) und legen Gewicht auf Zusammenarbeit und Austausch im Team
Minimum Requirements: Bachelor oder Master in Informatik oder gleichwertige Ausbildung/Erfahrung; Gute Programmierkenntnisse (bevorzugt in Ruby, React und Java); insbesondere wissen Sie Design Patterns zu gebrauchen, kennen sich aus mit Test Driven Development und beherrschen gängige Werkzeuge wie Git und gern auch Docker; Erfahrung mit Webentwicklung, einschliesslich modernes Javascript, vorzugsweise React; Fundiertes relationales Datenbankwissen; Routinierter Umgang mit Linux; Gute Deutschkenntnisse

Duties: Working independently to enhance a database-driven measurement and administration software program used to manage customer orders, devices and measurement results; Working autonomously to create database interfaces for existing measurement software; Developing software and source code documentation; Performing administrative tasks using the central calibration and aministration software; Supporting new users in integrating applications into the existing measurement and administration software; Supporting our team in order to solve complex IT problems in a scientific environment
Minimum Requirements: You have successfully completed studies and obtained a Bachelor's degree or a degree from a university of applied sciences (German Fachhochschule ) in computer sciences, business informatics, mathematics, communications engineering or engineering sciences with a focus on information technology You have knowledge and experience in system administration with Windows-server-based operating systems You have knowledge and experience in setting up and administering relational database management systems You have excellent object-oriented programming skills You have an excellent command of both spoken and written German and English You are a team player with excellent communication skills You have a service-oriented and committed working style Complex technical contexts are not a problem for you The following skills and experiences would be an advantage: Knowledge and experience with MS SQL servers Programming skills in Visual Basic Programming skills in LabVIEW Knowledge and experie...

Duties: Developing and applying procedures designed to characterize image quality in X-ray diagnostics, in particular in CT, with the deep-learning method and with the aid of human image assessment; Participating actively in the project and exchanging experiences and information with our project partners in Germany and the Netherlands. for this purpose, regular stays at our project partners'in Nijmegen will be necessary; Presenting the results at project meetings and scientific congresses in Germany and abroad; elaborating scientific publications
Minimum Requirements: You have completed university studies in physics or a comparable subject; Ideally, you are familiar with the fields of machine learning and image processing; You have good programming skills (e.g. C++, C#, Python, Matlab); A sound knowledge of and experience in the following fields are an advantage: Interaction of ionizing radiation with matter; Fundamentals of metrology, data analysis, and determination of measurement uncertainty; You have an autonomous, accurate and well-structured working style as well as good organization skills; You have a good command of both spoken and written German and English; You are a team player with excellent communication skills; You are willing to travel within Germany and abroad within the scope of your assignment

Duration: 3 y
Duties: In this PhD project, you will work on Uncertainty Quantification (UQ) for hybrid inverse problems. Such problems appear for instance in photo-acoustic tomography and acousto-electric tomography, where two different physical phenomena interact and allow for the measurement of so-called hybrid data. The project concerns both mathematical modelling, mathematical analysis and scientific computing
Minimum Requirements: A two-year master's degree (120 ECTS points) in computational science and engineering (CSE), applied mathematics, engineering or equivalent; A MSc thesis written within a subfield of applied mathematics that fits this PhD project e.g. Inverse Problems, Partial Differential Equations, Scientific Computing, or Uncertainty Quantification; Proficiency in written and oral English; The ability to work in a research team as well as independently

Duties: Übersetzen von wissenschaftlichen Texten für den amerikanischen Wissenschaftssektor, speziell aus dem Bereich der Physik (z. B. wissenschaftliche Veröffentlichungen für amerikanische Fachzeitschriften, Webseiten, Dokumente) vom Deutschen ins Englische. Die deutschen Ausgangstexte sind sprachlich, grammatikalisch und stilistisch extrem anspruchsvoll und erfordern 100-prozentige Kenntnis der deutschen Grammatik und Stilistik; Nach einer mehrmonatigen Einarbeitungszeit: Überprüfen von englischsprachigen Manuskripten (z. B. wissenschaftliche Publikationen, Artikel für Konferenzbände), die von deutschen und internationalen Wissenschaftlern und Wissenschaftlerinnen verfasst wurden, deren Muttersprache nicht englisch ist
Minimum Requirements: Sie haben einen Abschluss in "Translation Studies" von einer Universität in den USA oder den Abschluss Übersetzer/in (Diplom FH oder Bachelor) von einer einschlägigen deutschen Hochschule; Sie sind zweisprachig (deutsch/englisch) in den USA aufgewachsen und haben dort Ihre Schul- und Universitätslaufbahn absolviert. Sie beherrschen die Grammatik und Stilistik in beiden Sprachen perfekt; Sie verfügen über mehrjährige Berufserfahrung im Übersetzen von technischen und/oder wissenschaftlichen Texten vom Deutschen ins amerikanische Englische; Sie verfügen über eine ausgeprägte Kommunikations- und Teamfähigkeit; Sie haben technisches Verständnis und die Fähigkeit, sich in schwierige physikalische Zusammenhänge hineinzudenken

Duties: Recently qualified Actuary with 5 or more years working experience in Life reserving or pricing in the (re)insurance field, or related actuarial experience Prior experience of IFRS 17 would be a distinct advantage, with experience in Solvency II, reserving and financial reporting also being helpful
Minimum Requirements: Calculation, testing and maintenance of IFRS 17 CSM, risk adjustment, discounting, cash flows for group and legal entities leveraging Solvency II calculations where appropriate; Representing Life Reserving in the company wide IFRS 17 project team and working closely with the life and non-life actuarial teams, Finance, IT, external consultants and vendors to ensure IFRS 17 compliance and maintenance of these processes post IFRS 17 implementation; Modelling to support IFRS 17 policy decisions; Maintaining documentation of processes and procedures; Working closely with Finance to ensure the efficient production of inputs to quarterly and annual IFRS 17 financial statements; Contributing to the monitoring of changes in rules and guidelines or market practice relating to the calculation of IFRS 17 requirements; Mentoring and guiding other team members to deliver IFRS 17 reporting results

Duties: Sie sind Teil eines neuen agilen Teams zum Aufbau einer Microsoft-Dynamics 365 CRM-Lösung in Zusammenarbeit mit internen Fachbereichen und einem externen Implementierungspartner; Die technische Ausrichtung des CRM entwickeln Sie massgeblich mit und sorgen für eine reibungslose Einführung der neuen Software; Zudem sind Sie technischer Ansprechpartner im Team zur Umsetzung von Anforderungen, Customizing und Fehlerbehebungen im Bereich CRM; Für unsere IT (z.B. Betrieb, Infrastruktur, Systemschnittstellen) sind Sie Ansprechpartner auf Augenhöhe; Darüber hinaus unterstützen Sie im Team die fachlichen Business Analysten und Software Architekten bei der der Analyse, Konzeption und Aufwandsschätzung individueller Lösungen mit technischer Expertise; Bei der Durchführung von technischen Testings, Dokumentationen sowie Qualitätssicherung sind Sie ein wichtiger Ansprechpartner
Minimum Requirements: Sie verfügen über ein erfolgreich absolviertes (Fach-) Hochschulstudium als Informatiker, Wirtschaftsinformatiker bzw. einem anderen Studienfach mit Informatikbezügen oder über vergleichbare Ausbildung/Berufserfahrung; Sie haben mindestens 2 Jahre Berufserfahrung und Erfahrung als technischer Consultant für Microsoft Dynamics 365; Sehr gute Kennnisse im Customizing von MS Dynamics 365 bringen Sie mit; Gute Programmier-Kenntnisse in .NET und modernen Webtechnologien sind für Sie selbstverständlich; Sie können gute SQL/SSIS-Kenntnisse und Erfahrung mit relationalen Datenbanksystemen vorweisen

Duration: 3 y       
Workload: 100%
Duties: Do you have a passion for STEM Education? Do you want to make a contribution to knowledge through research? The Peter Fensham PhD scholarship is offered for full-time research at postgraduate level in the Faculty of Education at Monash University. The award is available to an applicant intending to undertake a PhD with a focus on Science, Technology, Engineering & Mathematics (STEM) Education. The awardee will be determined by a panel in a merit-based selection process, and will complete their PhD under the supervision of a minimum of two academic supervisors from the Faculty of Education at Monash
Minimum Requirements: To be eligible you must: be a domestic candidate; have the necessary qualifications, such as a research masters or honours year to meet the selection requirements into the doctoral program (see Monash Education PhD entry requirements); be enrolling full time and on campus; not already hold a PhD

Duties: You will be responsible for providing the required data engineering capabilities that will enable ingestion and sustaining of these new data sets; Build data processes supporting data transformation, data structures, metadata and dependency across modern Developer tools used for Planning, CI/CD and Cloud Foundry; Collect and transform unstructured data into actionable insight (ETL, Machine learning, stat tool, math); Provide Deep expertise on data sources, required transformations, quality, consistency, velocity, access; Establish relationships with key business partners/Points of Contact to accelerate issues fix; Develop and Maintain self-service capabilities for Business KPI drill-down needs (MOLAP, TOLAP)
Minimum Requirements: Education (Bachelor’s degree or higher) in Computer Science, Mathematics, or a related technical field, or equivalent practical experience; 5-8 years’ experience in Data or BI engineering dealing with large complex data scenarios; Database development (MS SQL, Hadoop) is a must; Proven ability to work with varied data infrastructures; including relational databases, Hadoop, column stores, NoSQL databases, and file-based storage solutions; Expertise in optimizing queries and ETL tasks involving large amounts of data; Ability to work in Global team, with remote leaders and peers; Being self-reliant and capable of both independent work and as member of a team

Duties: The Space Science and Astrobiology Division is one of three Divisions within the Science Directorate at NASA Ames Research Center. The Division conducts research in astrobiology, planetary science, and astrophysics through a team of 140 civil servants, contractors, postdoctoral fellows and students. Scope of work for Division Chief includes supervision, strategy formulation and implementation, maintenance of technical competence, and cultivating and sustaining relations with stakeholders
Minimum Requirements: Applicants must have successfully completed an undergraduate or graduate degree with a major in either a) engineering from a college or university that has ABET accredited engineering programs or b) Physical Science, Mathematics, Life Science, Computer Science; In addition to meeting Basic Education Requirements, applicants must have one year of specialized experience equivalent to the next lower grade (GS-14) level, which has equipped the applicant with the particular competencies needed to successfully perform the duties of the position described above

Workload: 100%
Duties: Manage the overall scoping, planning, tracking, responses, closure verification, and reporting of risks identified via an enterprise risk assessment process (full cycle); Apply mechanisms for rating, aggregating, prioritizing, and assigning owners to identified risk findings; Ensure that tracked risks and findings adhere to agreed-to operational definitions, to preserve consistency and clarity across risks that are to be formally introduced and managed; Maintain findings lists (and/or formal risk register), identifying and relating assessment findings to other artifacts stored in an enterprise Governance, Risk & Compliance (GRC) data management platform; Interface with team of Risk Assessment analysts, cyber security program Directors, Managers, CISO, and/or IT asset owners to facilitate and coordinate smooth execution of Risk Management plans that involve people from multiple, disparate teams; Manage the task work performed by one or more junior Risk Analysts, as necessary, based ...
Minimum Requirements: Bachelor’s degree in computer science or a related discipline; 8+ years’ experience in Cyber/Information Risk Management; 5+ year's experience with creation of aggregated data views, summary reports, and dashboards; 5+ year's prior experience with presenting to various levels of management; 5+ year's experience in risk definition and risk-level determination methods; Risks and risk mitigation strategies experience 5+ year's; Prior experience executing and thinking with a strong control and process mindset; 5+ year's in Risk Assessment and Risk Management experience; 5+ year's of experience working in Frameworks/methodologies, such ISO 27001, NIST 800-39/53, NIST CSF, FAIR