Workload: ab 80%
Duties: Betrieb und Weiterentwicklung der Infrastruktur für den Software Entwicklungsprozess (Bitbucket, Jenkins, Spinnaker, Artifactory, Sonarqube, RabbitMQ); Betrieb und die Weiterentwicklung unserer strategischen Container Plattform (Rancher/Kubernetes); Integration und Automatisierung von relevanten Applikationen für den Software Entwicklungsprozess; Mitgestaltung in der Weiterentwicklung, Transformation und den Betrieb der DevOps Landschaft (CI/CD, Pipelines, Infrastructure as Code); Sicherstellung des Application Lifecycle Management der betreuten Services; Analysieren und Behebung von Störungen, Fehlerzuständen und der Applikations-Performance; Verantwortung auf Applikationsebene für die sichere Implementation und den sicheren Zugriff
Requirements: Du hast eine technische Ausbildung (z.B. Wirtschaftsinformatik, Informatiker FH oder eine vergleichbare Fachrichtung); Du bringst fundierte Erfahrung im Bereich Docker/Container-Plattformen mit; Du hast Erfahrung in Scripting und Automatisierungstechnologien (Shell, Python, Powershell, Saltstack) und bringst Programmiererfahrung (Java, .Net) mit; Du stellst bei allen Projekten einen hohen Qualitätsstandard sicher; Eine einwandfreie und saubere Dokumentation ist für dich selbstverständlich; Du sprichst fliessend Deutsch und Englisch; Deine Erfahrung im Arbeiten in agilen Teams gemäss SAFe® ist ein zusätzliches Plus

Duties: As part of our multidisciplinary team, you will participate in an applied research project aiming at the optimization of compact lab-scale storage prototypes for high power applications with high heat transfer rates; You will help us in generating experimental data for commercially available paraffins as PCM’s which show a characteristic non-ideal solid/liquid phase transition behavior, e.g. non-isothermal melting/solidification, supercooling, or two-step transition; You will systematically analyze heat transfer phenomena during interrupted phase change, which is highly relevant for assessing the storage performance for operation with partial charging and discharging; Depending on your personal interest and experience, your activities may be directed either to the planning, execution and analysis of fully automated lab-experiments, or to the extension and implementation of numeric models for heat transfer with phase change towards a more realistic prediction of non-isothermal phase c...
Requirements: Ongoing master’s studies in the field of chemical or energy or control systems engineering, mechanics, mechatronics, physics, applied mathematics or similar; Good knowledge in practical lab work and/or numerical modeling with differential equations, optional Computational Fluid Dynamics software; Enjoyment of application-oriented questions of industry; High level of commitment and team spirit; Good knowledge of English or German in word and writing

Duties: Lancieren Sie als Assistenzprofessorin oder Assistenzprofessor gemeinsam mit Ihrem Team Ihr Forschungsprojekt. ​SNSF Eccellenza Professorial Fellowships richten sich an hoch qualifizierte Forschende, die eine permanente Professur anstreben. Eccellenza ermöglicht ihnen, ihr Ziel als Assistenzprofessorin oder Assistenzprofessor mit einem grosszügig ausgestatteten Forschungsprojekt unter ihrer Leitung und einem eigenen Team an einer Hochschule in der Schweiz zu erreichen
Requirements: haben ein Doktorat (PhD) oder eine mindestens dreijährige Forschungstätigkeit nach dem Hochschulabschluss (Äquivalent zum Doktorat) und verfügen über mindestens drei Jahre Forschungserfahrung nach dem Doktorat oder der äquivalenten Qualifikation zum Doktorat. oder haben einen medizinischen Abschluss (Staatsexamen oder äquivalenter Abschluss) und verfügen über mindestens drei Jahre klinische Tätigkeit und mindestens zwei Jahre Forschungstätigkeit nach dem medizinischen Abschluss

Duties: This position is embedded within the H2020 FET-OPEN Project ProID "Ultrafast Raman Technologies for Protein Identification and Sequencing" and offers a competitive salary. The main research task of the successful candidate will be to develop novel approaches for first-principles understanding of nanopore-protein interactions and molecular translocation. Specifically, the candidate will develop methods and investigate how proteins behave from both an optical and mechanical point of view when confined into nanopores and under the effect of both static fields (electrophoresis and local charges) and time-dependent optical fields (plasmons/cavity modes), and how the interaction of the molecule with a plasmonic nanopore will affect its Raman emission
Requirements: The position is open to strong applicants with backgrounds in theoretical physics, chemistry, computer science, and/or multidisciplinary background (PhD degree required). Ideally, this person should have an excellent knowledge of at least one of the following topics: density-functional theory, classical and/or quantum field theory, finite element methods, analytical model systems in quantum mechanics, computational chemistry, molecular dynamics, machine learning. Willingness to work in an inter-cultural and international environment, the ability to work independently and as part of a team, curiosity and self-motivation will be crucial, as well as excellent written and oral communication skills in English will be essential

Department: Wirtschaftsberatung
Workload: 80-100%
Duties: Du bringst Dich bei versicherungs- oder finanzmathematischen Beratungsprojekten, Validierung von stochastischen komplexen Modellen, Risikokapitalmodellierung, MCEV, SST/Solvency II, ALM, Reservierung oder Tarifierung ein; Du unterstützt bei IFRS 17 Projekten oder wirkst mit Deinen technischen Kenntnissen bei der Modernisierung von Versicherungsprozessen mit; Du unterstützt bei der jährlichen Abschlussprüfung von Versicherungsunternehmen, Krankenversicherern, Rückversicherungsunternehmen oder Captives nach inter-/nationalen Standards; Du hast die Möglichkeit in verwandten Bereichen wie Banken, Datenanalyse und Risiko & Modellierung zu arbeiten und Deine Erfahrungen ausserhalb der Versicherung auf praktische Weise weiter zu vertiefen; Du erweiterst Dein technisches Wissen und Deine Soft Skills kontinuierlich mit On- und Off-Trainings; Du arbeitest in einem diversifizierten internationalen Team und erhältst regelmässiges Coaching von Kollegen und Vorgesetzten; Du bringst Deine...
Requirements: Du verfügst über einen guten Universitätsschulabschluss oder ETH (PhD oder mindestens Master) in Mathematik, Actuarial Science oder Naturwissenschaft und Du hast mindestens 2-5 Jahre relevante Berufserfahrung in der Beratung oder in einem (Rück-)Versicherungsunternehmen; Du hast die Ausbildung zum Aktuar SAV (oder eine äquivalente) begonnen oder bereits abgeschlossen; Du hast angewandte berufliche Kenntnisse, z.B. in Asset-Modellierung (Market oder Credit Risk), ESGs, Finanzmathematik (Stochastische Bewertungsmethoden, Derivate) oder Buchhaltung, der Risikomodellierung, Validierung, Produktentwicklung, Finanzielle Berichterstattung oder Maschinelles Lernen (Datenanalyse); Du verfügst über praktische Kenntnisse mit aktuarieller Software und/oder Systemen im Leben und/oder Nichtleben Bereich und bist bereit diese für Kunden weiterzuentwickeln; Du bist ein Teamplayer, offen für neue Herausforderungen, flexibel und arbeitest gerne in einem unternehmerischen und fachübergreifenden...

Duties: Werden Sie als Praktikant bei uns Teil eines Teams und stellen die Weichen für eine erfolgreiche Zukunft. Unterstützen Sie die Fachbereiche mit Ihrer kommunikativen Art in der täglichen Arbeit und arbeiten Sie dank Ihrer Teamfähigkeit in spannenden Projekten mit
Requirements: Als Student der Fachrichtung Informatik, Mathematik, Jura oder Wirtschaftswissenschaften haben Sie im Continentale Versicherungsverbund die Möglichkeit, Ihr verpflichtendes Praxissemester oder ein freiwilliges Praktikum zu absolvieren

Duties: Analyse, Design und Implementierung von Java-Anwendungen in einem agilen Team; Überführen von Legacyanwendungen für den Zahlungsverkehr in ein JEE-Umfeld; Berücksichtigung von Qualität, Wartbarkeit und Performance; Beratung unserer fachlichen Auftraggeber
Requirements: Erfolgreich absolvierter Hochschulabschluss in Informatik, einem MINT-Fach oder eine vergleichbare Ausbildung; Berufserfahrung in der Anwendungsentwicklung in Java; Bereitschaft zur Einarbeitung in neue Themenbereiche und Technologien; Gute analytische Fähigkeiten und selbständige Arbeitsweise; Ausgeprägte Team- und Kooperationsfähigkeit

Workload: 100%
Duties: Sie besetzen eine leitende Rolle in der technischen und administrativen Umsetzung der High Performance Computing Strategie der Universität Bonn; Sie arbeiten am Design, an der Entwicklung und am Betrieb von Cluster Computersystemen gemeinsam mit einem hochqualifizierten Team von Mitarbeitenden. Als Teamleitung übernehmen Sie sowohl Personalverantwortung als auch massgeblich die technische Verantwortung für das zentrale HPC System der U Bonn; Sie beteiligen sich zusammen mit Ihren Mitarbeitenden an Aktivitäten des High Performance Computing & Analytics Labs (HPC/A), sowie am landesweiten Kompetenznetzwerk HPC.NRW
Requirements: einen Masterabschluss und idealerweise drei Jahre relevante Berufserfahrung oder Promotion in Informatik, Mathematik oder einem verwandten naturwissenschaftlichen oder technischen Fach; Erfahrung in der Zusammenarbeit in Teams und der Koordination von Aufgaben, erste Führungserfahrungen kleinerer Arbeitsgruppen; sehr gute Kenntnisse von Linux, insbesondere bei der Konfiguration, Installation und Administration von hochparallelen Systemen

Duration: 4 y
Duties: We invite applications for 1 PhD position in clinical neuroimaging at the departments Intensive Care and Radiology & Nuclear Medicine at the Maastricht University Medical Centre+, the Netherlands. The position is embedded in the School for Mental Health and Neuroscience (MHeNS) in the University of Maastricht. COVID-19 is an infectious disease, which in severe cases leads to intensive care unit (ICU) admission. One of its feared complications is brain injury
Requirements: The PhD is a combination of technological skills, team work, and epidemiological data analyses. Preferably, you have affinity with clinical and/or basic scientific research, are able to work in a multidisciplinary setting, you like complex problems, and have good skills in English writing. To communicate with patients and hospital employees, an adequate level of the Dutch language is required. A M.Sc. degree is required in biomedical engineering, technical medicine, computer science, electrical engineering, or other related fields of study. Experience with MRI, data analysis, and MATLAB programming is a strong advantage

Duties: The lecturer will perform a variety of tasks as assigned within two bachelor- and master-level public health education programmes. These programmes are the Bachelor European Public Health (BEPH) and Master of Governance and Leadership in European Public Health (MGLEPH), respectively. Both programmes fall within the Faculty of Health, Medicine, and Life Sciences at Maastricht University
Requirements: A completed MSc or PhD degree in public health or a closely related field; Openness to and interest in performing a wide-variety of educational tasks including tutoring, training, lecturing, course design, course management, thesis advising, and various other related activities; Ability to work with a team-spirit and within an environment with ongoing time-sensitive deadlines; High degree of computer and internet literacy; High level of fluency in written and spoken English

Duties: Successful candidates will join a young, strong and motivated FINATRAX Research Group. The research group conducts research on the application and the impact of digital technologies like DLT/Blockchain, Digital Identities, Machine Learning/AI, and IoT/5G on organisations in the private or public sector. By doing so, it builds bridges between business research and information systems engineering. The group consists of doctoral and post-doctoral researchers who come from different disciplines (e.g., policy, business, technology) and pursue first-rate research on the design and impact of information systems
Requirements: The candidate should possess a PhD degree or equivalent in Computer Science, FinTech, Information Systems (Engineering), Mathematics, Physics, Industrial Engineering or a related technical field. The ideal candidate should have strong knowledge and/or experience in: Data Science, Statistics, Machine Learning, Deep Learning; Programming skills; Research method(s)

Department: School of Management
Workload: part-time
Duties: Teaching assistance through the facilitation of seminars and/or workshops; Class preparation and meeting with lecturers/module organisers; After-class contact time with students, including time-tabled office hours; Coursework and/or examination marking. (This may include marking for modules not taught on by a TA.) Marking duties include attendance at co-ordination meetings as required and are paid at different rates depending on type and length of scripts marked; Dissertation supervision at undergraduate and/or postgraduate level(s); To maintain records to monitor student progress, achievement and attendance; Weekly office hour(s) for student enquiries in the term taught plus additional hours in term 3 prior to the examination; Examination marking duties corresponding to half the examination marking load of a full-time member of staff; Attendance in lectures for the courses taught
Requirements: The post holders will be educated to degree level, or have equivalent qualifications or experience, having one or more of the following backgrounds: A statistics and data analytics background coupled with experience of using the R programming language, and, ideally, experience of using Tableau

Department: Division of Psychiatry
Workload: part-time
Duties: The MHPRU has been commissioned by the Department of Health and Social Care over an initial five-year period from 2017-22 to undertake policy-relevant research projects, and provide a rapid response research service, to meet the funder’s requirements. This funding period may be extended beyond 2022. This post is suitable for a skilled postdoctoral researcher with experience of mental health services and/or epidemiological research, who wishes to contribute to top quality research which can inform policy decision-making. Knowledge and experience mental health services in the NHS, social care and voluntary sector is an asset for this post. This is a senior researcher role within the MHPRU team, and the postholder would be expected and supported to supervise and support junior colleagues and coordinate and provide day-to-day leadership of work packages within MHPRU projects
Requirements: The postholder will have a completed PhD in a relevant subject area and have substantial experience of conducting and analysing research using qualitative and quantitative methods in a relevant area. The postholder must have knowledge and awareness of current major initiatives in mental health policy and practice, alongside excellent IT and administrative skills

Department: Great Ormond Street Institute of Child Health - Population, Policy and Practice Programme
Workload: 100%
Duties: The post offers an excellent opportunity for a postdoctoral researcher to enhance their expertise in analysis of administrative and cohort datasets to inform policy and practice for the health of children and families. The post holder will primarily use the Avon Longitudinal Study of Parents and Children (ALSPAC) and also Clinical Practice Research Datalink (CPRD) linked to Hospital Episode Statistics (HES) via the mother-baby household link to explore the interactions and associations between exposure to intimate partner violence, parental mental health and children’s mental health
Requirements: PhD (or pending qualification) in epidemiology or statistics or related area; Experience of analysis of large complex data sets using standard software packages (e.g. Stata); Experience of managing and analysing administrative data sets and/or cohorts (eg. HES, CPRD, MCS, ALSPAC); Experience of analysing longitudinal health data

Department: UCL Queen Square Institute of Neurology - Wellcome Centre for Human Neuroimaging, Max Planck UCL Centre for Computational Psychiatry and Ageing
Workload: 100%
Duties: The overarching goal of the project is to understand the cognitive-computational control of human motor behaviour under acute, immediate threat. We investigate this in an immersive virtual reality (VR) environment, in which people can move to avoid a large number of different threats. As part of this project, the candidate will build and test explicit computational models of continuous action control and action updating under constraints of time pressure and unaffordable costs
Requirements: The successful candidate should have (or be close to obtaining) a PhD in computational neuroscience, robotics with focus on action planning, computer science/mathematics/physics with a focus on decision science, or in a related area. Experience with cognitive-computational models of decision and action in continuous state spaces, and with modelling biological agents, is required. A strong background in artificial intelligence and solid knowledge of decision neuroscience literature are essential, as are familiarity with modern software development techniques, experience in programming, and IT proficiency at advanced user level

Workload: 80-100%
Duties: Support project implementation in the field of nutrition and food systems, as well as health systems; Lead implementation research (e.g. baseline/endline surveys, assessments, evaluations) in the frame of long term nutrition and health system strengthening mandates; Actively develop our nutrition and food systems portfolio; Contribute to business development activities; Support project communication work, namely knowledge management and dissemination
Requirements: 5-8 years'experience in nutrition and public health, or nutrition and food systems; Master's Degree in nutrition, Diplomas related to epidemiology, statistics, or public health an asset; Experience in working in different cultural settings, with respect and diplomacy; Excellent English and French language skills ( Excellent written and spoken French is a condition); Willingness and availability to travel, several times per year, including on short notice; At least 3 years overseas working experience is desirable

Duties: The projects have the broad goal of better understanding the neuronal circuits for auditory processing and perception, and include both experiments and data analysis. The successful candidates will have the opportunity to learn and apply several state-of-the-art systems neuroscience techniques such as in vivo extracellular recordings, functional imaging (2P calcium or voltage imaging), behavioral assays, optogenetics, in vivo patch-clamp recordings, viral neural tracing, or immunohistochemistry. The research questions will be chosen from a range of topics in auditory systems neuroscience
Requirements: You are our new lab member if you: have a background in neuroscience, physics, computer science, mathematics, biology, or engineering; have a spirit of intellectual adventure as well as drive and eagerness; can be creative and focused on a project at the same time; have experience or interest in programming data analysis code; run experiments methodically and are adept at troubleshooting and problem solving; ambition to pursue a career in science; enjoy working in a team and like to share ideas with colleagues

Duties: study of equivariant Poisson deformations and equivariant quantizations of nilpotent Slodowy varieties in the non-simply-laced case; MAT/02 - ALGEBRA
Requirements: Early stage researcher or 0-4 yrs (Post graduate)

Duration: 3 y
Duties: In the project from the Independent Research Fund Denmark, which this PhD position is a part of, we will investigate enhancing the magnetic performance of rare-earth free permanent magnets through nanoscale crystallite orientation as well as inspiration from interstellar chemistry. Our partners at Aarhus University will work on the chemistry of the magnets and your part in the project will be to investigate our rare-earth free magnets using our state-of-the-art open-source micromagnetic model, MagTense, and to develop this model even further
Requirements: You must have a two-year master's degree (120 ECTS points) in physics, astronomy, mathematics, engineering, chemistry or similar; Experience with static magnetism (magnetostatics) as gained e.g. from a physics courses in electromagnetism; Experience with modelling techniques and preferably some experience with numerical approximations; Experience with Matlab, Python and potentially Fortran; Ability to work independently, to plan and carry out complicated tasks, and to be a part of a large, dynamic group; Good communication skills in English, both written and spoken

Duration: 3 y
Duties: The Danish Hydrocarbon Research and Technology Centre (DHRTC), Technical University of Denmark (DTU), invites applicants for two PhD positions in the field of chemical fingerprinting and reactive multiphase flow in cement. These two positions are closely linked within the same project and is part of a larger project portfolio relating to safe and sustainable abandonment of oil wells in the Danish North Sea Chalk reservoirs. DHRTC was established by the Danish Underground Consortium and DTU in 2014 as part of a national strategy for energy, the research Centre is an ambitious, targeted effort to improve recovery of hydrocarbons from the Danish North Sea sector
Requirements: M.Sc. degree in Chemical Engineering, Chemistry, Physics, Applied Mathematics, Earth/Environmental Sciences or other relevant areas; Knowledge of the fundamentals of reactive flow and transport in porous media (e.g. cement) and wells; A good knowledge of geochemistry is very valuable; Practical experience with scientific programming languages and laboratory work are desirable; Ability to work in a multi-disciplinary environment as an independent researcher; Good writing and communication skills in English

Duties: work on research that can be published in leading international journals; offer a course within the Track in Digital Procurement; support the chair with supervising master thesis projects; contribute to grant proposals for PPP projects with industry; prepare and give presentations at international conferences; work self-responsibly and independently
Requirements: A doctoral degree in Operations Research/Operations Management or related fields (e.g. Mathematics, Industrial Engineering, Computer Science); Interest in topics surrounding digital procurement (digital platforms, analytics, work automation); Interest in research in decision-making under uncertainty (stochastic programming, robust optimization, reinforcement learning); Very good programming skills (Python, Java, C++, Julia, …); Good understanding of data engineering and machine learning; Good understanding of mathematical and statistical workbenches (Python, Julia. MATLAB, R); Extensive experience with optimization software (e.g., Coin-OR, Cplex, Gurobi, Mosek, Xpress); Good command of English (business fluent, written and spoken), experience in software development is a bonus

Duties: Ihr Meilenstein auf dem Weg zur Professorin! PRIMA-Beiträge richten sich an hervorragende Forscherinnen, die ein hohes Potenzial für eine Professur aufweisen. PRIMA-Beitragsempfängerinnen sind mindestens auf dem Niveau einer Gruppenleiterin angestellt und führen ein Forschungsprojekt mit einem eigenen Team an einer Schweizer Forschungsinstitution durch
Requirements: haben ein Doktorat (PhD) oder können eine mindestens dreijährige Forschungstätigkeit nach dem Hochschulabschluss (Äquivalent zum Doktorat) ausweisen und verfügen über mindestens zwei Jahre Forschungserfahrung nach dem Doktorat oder der äquivalenten Qualifikation zum Doktorat; oder haben einen medizinischen Abschluss (Staatsexamen oder äquivalenter Abschluss) und verfügen über mindestens drei Jahre klinische Tätigkeit und mindestens zwei Jahre Forschungstätigkeit nach dem medizinischen Abschluss

Duration: 3 y
Duties: The position holders will be required to perform the following tasks: Carrying out research in one of the predefined areas; Participation in the related standardization committees; Disseminating results in top scientific venues; Assisting in organization of relevant workshops
Requirements: Qualification: The candidates should possess an MSc degree or equivalent in computer science, computer engineering, or applied mathematics. Experience: The ideal candidates should have some knowledge and experience in a number of the following topics: Optimisation; Algorithmics; Parallel/Distributed computing; AI/Machine learning; Language Skills: Fluent written and verbal communication skills in English are required. Knowledge of French, German or Luxembourgish is desirable

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
Requirements: Most students in the Ph.D. programme are supported as assistants. The support covers tuition and provides a salary. Responsibilities of assistants include both teaching and research duties. Generally students receive support as long as funds are available and the student is making adequate progress through the programme

Duties: Entwicklung von innovativen Lebensversicherungsprodukten; Ermittlung von Rechnungsgrundlagen und Pricing von Lebensversicherungsprodukten; Leitung von bzw. Mitarbeit in Projekten zur Produktentwicklung; Erstellung von Fachvorgaben für die Umsetzung im Bestandsverwaltungssystem; Durchführung bzw. Koordination des Systemtests von neu entwickelten Lebensversicherungsprodukten und Geschäftsvorfällen; Abbildung der Lebensversicherungsprodukte im Rechenkern; Ansprechpartner bei speziellen Fragen zur Bestandsverwaltung
Requirements: Erfolgreich absolviertes Hochschulstudium (Master oder Diplom) der Mathematik oder der Wirtschaftsmathematik bzw. eine vergleichbare Qualifikation; Begonnene oder abgeschlossene Ausbildung zum Aktuar (DAV) wünschenswert; Erste Berufserfahrung oder absolviertes Praktikum in der Produktentwicklung eines Lebensversicherungsunternehmens wünschenswert; Selbstständiges Arbeiten an anspruchsvollen Aufgaben in einem kreativen Team; Kommunikationsstärke; Sicherer Umgang mit dem MS-Office-Paket; Programmierkenntnisse (idealerweise Excel-VBA oder Java)