Duties: Co-lead the final strategic review of public communications; Objectives/KPIs: Facilitating in setting clear sustainability objectives and key performance indicators (“KPIs”) for SCOR Group and to measure progress and impact; Track and report the effectiveness of sustainability programs; Co-developing and implementing a comprehensive sustainability strategy; Keeping up to date with new trends and regulations, and continuously update and improve the sustainability strategy accordingly
Requirements: Advanced university degree, preferably with a specialization in sustainability or climate change; At least 15 years of professional experience, preferably in the financial services sector, ideally in the insurance or reinsurance industry or a consulting firm; Experience with climate-related recommendations, standards, and reporting frameworks (e.g., ESRS, CDP, SBTi, GHG Protocol) and an interest in biodiversity-related subjects (e.g., Taskforce on Nature Related Financial Disclosures)

Duties: Be responsible for leading the research culture at PMU. The focus of the job will involve own research activities in area of expertise in AI in addition to presenting research findings at conferences worldwide; Seek external funding to support and expand research activities to enhance the prestige and visibility of PMU and to initiate research projects with local industries, government agencies and the community; Be expected to take part in the strategic planning and decision making of PMU’s Center for Artificial Intelligence
Requirements: A PhD degree in computer science, engineering, physics, data science, mathematics or a closely related field; A proven track record of carrying out cutting-edge research demonstrated by publications in top journals/conferences; A proven track record of funding acquisition through grants and/or contracts; Excellent written and verbal communication skills

Duties: Du übernimmst die technische Verantwortung in einem mixed Projektteam (Kunde & ipt) für die Konzeption und Implementation einer state-of-the-art Front-End-Lösung; Umsetzung von automatisierten und durchgängigen Geschäftsvorfällen (Geschäftsprozessen) mittels Domain-driven Design, reactive Programming, Event-Driven, Data Streaming und Microservice Architekturen; Stakeholder-Management, das Eruieren von Kundenanforderungen und deren Umsetzung
Requirements: Abgeschlossenes Studium (Informatik, Wirtschaftsinformatik, Mathematik, Elektrotechnik, Physik); 5+ Jahre Projekterfahrung von anspruchsvollen Software Architekturen und Full-Stack-Entwicklung; Breites Technologie Verständnis mit hands-on Erfahrung

Duties: The University of Göttingen is an internationally renowned research university. Founded in 1737 in the Age of Enlightenment, the University is committed to the values of social responsibility of science, democracy, tolerance and justice. It offers a comprehensive range of subjects across 13 faculties: in the natural sciences, humanities, social sciences and medicine. With about 30'000 students and more than 210 degree programmes, the University is one of the largest in Germany
Requirements: We crawl all higher jobs in research, teaching and administration at Uni Göttingen automatically and post them at acad.jobs. Additional jobs can be found by clicking here. Many more institutions are listed in the left frame (online version), see "Search yourself at 8000 institutions"

Duties: The Department of Mathematics (DMATH) is seeking to fill a new Assistant Professor position in mathematics, in the area of Statistical Learning. The selected candidate will be expected to establish an internationally recognized research group in Statistical Learning, to contribute to the teaching mission of DMATH at every level of mathematical education, as well as to engage in outreach activities. The successful candidate will also have a significant teaching experience and will contribute to the teaching of statistics and mathematics within and outside DMATH
Requirements: The successful candidate will have made important contributions to this area and published in top ranked peer reviewed international journals and/or conference proceedings. Topics of interest within the expertise of the candidate include (but are not limited to): Uncertainty quantification; Regularization techniques; Machine learning; deep learning; High‐dimensional statistics; Dimensionality reduction; Causal machine learning; Reinforcement learning; Gradient methods

Duties: Conduct research in the field of AI for Education; Collaborate with research partners of the AI4Education focus area; Communicate research results in international conferences and journals; Write a doctoral dissertation in Computer Science; Assist in teaching activities and help in co-supervising Master and/or Bachelor students
Requirements: Master's degree in Computer Science or related field; Strong interests in exploring cutting-edge research questions; Strong programming skills; Solid mathematical foundation; A proactive approach to achieving research excellence; Commitment, team working and a critical mind; Fluent written and verbal communication skills in English are mandatory

Duties: Candidates with research interests in one or more of the following areas are particularly encouraged to apply: Applied or symmetric cryptography; Cryptofinance, cryptoeconomics, blockchains; Anonymity and privacy on the Internet
Requirements: A Ph.D. degree in Computer Science, Applied Mathematics or a related field; Competitive research record in applied cryptography or information security (at least one paper in top 10 IT security/crypto conferences); Strong mathematical and algorithmic CS background, economics/finance - a plus; Good skills in programming and scripting languages; Commitment, team working and a critical mind; Fluent written and verbal communication skills in English are mandatory

Duties: Maintain and develop the business acceptance/underwriting framework to steer profitable new business production in line with Strategic plan and SCOR risk appetite for L&H business. Ensure business acceptance practices are thorough, up to date and minimize operational risks. The underwriting framework encompasses: General UW guidelines/Regional/local guidelines and development of L&H UW guidance and related processes; Business authority management; Operational underwriting risk limits definition, capacity allocation and monitoring; Coordinate L&H Referral activities in strong collaboration with L&H global pricing team (“One referral team”); Assess and monitor non-standard underwriting risks for large and complex business or for business outside of existing guidelines, including the analysis of credit and financial risks
Requirements: University degree/Master degree in Mathematics, Actuarial Science, equivalent other scientific discipline with strong mathematical focus. Preferably membership in actuarial association/qualified as an actuary or equivalency from a recognized organization; 10 years + broad and sound work experience in (re)insurance with a focus on mathematics, finance and/or economics; Excellent knowledge of international life insurance and reinsurance products

Duties: Develop novel mathematical theory in line with the DRC-1 project goals; Publish results in international mathematical journals and present results at international conferences; Collaborate with partners within the DRC-1 project (this will include traveling abroad); Perform some limited teaching and other departmental duties
Requirements: You must have a two-year master's degree (120 ECTS points) or a similar degree with an academic level equivalent to a two-year master's degree

Duties: Conduct daily monitoring of automated processes within the EMEA Modelling tools; Provide user support and manage communication related to these automated processes; Participate in the development cycle for new automation features; Enhance monitoring processes (Python) by developing new features; Occasionally assist Modelling actuaries with their daily tasks
Requirements: Technical Proficiency: Actuarial or data science background with a strong interest in IT-related topics and experience in Python/VBA development. Knowledge of Java, R, or SQL is an advantage; Communication Skills: Excellent verbal and written communication skills to provide user support; manage interactions, and collaborate effectively with team members. Proficiency in both English and French is required; Problem-Solving and Independence: Proven ability to troubleshoot issues, develop solutions, and enhance existing processes through innovative approaches

Duties: Conduct perturbed parameter ensemble of solar geoengineering experiments with the ICON XPP model; Quantify and understand uncertainties in regional impacts of solar geoengineering
Requirements: Ph.D. in Physics, Meteorology, Atmospheric or Climate Sciences or a related discipline by the start date; Excellent analytical and programming skills. Experience in working with super computers is desired, as well as with climate models; Excellent communication and collaboration skills

Duties: Als naturwissenschaftlich geprägte Unternehmensberatung unterstützen wir unsere Klienten erfolgreich von der Strategieentwicklung bis zur Umsetzung. Wir suchen laufend neue Kolleg*innen zur Verstärkung unseres Teams, die Spass am Lösen anspruchsvoller, analytischer Fragestellungen haben
Requirements: Sehr gut abgeschlossenes Studium in Physik, Mathematik, Informatik oder einem anderen natur- oder ingenieurwissenschaftlichen Studiengang; Klares analytisches Denkvermögen und den Ehrgeiz, neue Aufgaben und Herausforderungen ganzheitlich zu durchdenken und Ihre Lösungsideen Realität werden zu lassen; Gute IT-Kenntnisse und Spass an der Technik

Duties: Quant Events Finance Insurance Switzerland
Requirements: Send further suggestions to chris@acad.jobs

Duties: Das Universitäts-Kinderspital beider Basel (UKBB) ist ein eigenständiges, universitäres Kompetenzzentrum für Kinder- und Jugendmedizin sowie für Lehre und Forschung. Als eines der drei selbständigen Kinderspitäler der Schweiz spielt das UKBB eine zentrale Rolle bei der Sicherstellung der kantonalen, regionalen und überregionalen kinder- und jugendmedizinischen Gesundheitsversorgung
Requirements: We crawl all higher jobs in research, teaching and administration at UKBB automatically and post them at acad.jobs. Additional jobs can be found by clicking here. Many more institutions are listed in the left frame (desktop version), see "Search yourself at 9000 institutions"

Duties: As a leading global reinsurer, SCOR offers its clients a diversified and innovative range of reinsurance and insurance solutions and services to control and manage risk. Applying “The Art & Science of Risk”, SCOR uses its industry-recognized expertise and cutting-edge financial solutions to serve its clients and contribute to the welfare and resilience of society
Requirements: We crawl all higher jobs at Scor automatically and post them at acad.jobs. Additional jobs can be found by clicking here. Many more institutions are listed in the left frame (desktop version), see "Search yourself at 8000 institutions"

Workload: 100%
Duties: Does data management and data stewardship for research sound important and exciting to you? Are you interested in metadata, vocabularies, taxonomies, and ontologies for data? Can you understand researchers' needs for handling their research data, metadata, data management plans, code, etc.? Do you see the value of data sharing, reuse, and referencing for research? Do you have experience with data management that follows the FAIR principles for your own or others' research? Then you might be the new member of the Data Management department at DeiC
Requirements: Have a relevant academic Master’s degree (preferably in natural sciences or IT-related fields); Think in a structured way and have an eye for technical system solutions and the interconnections between systems; Are familiar with the university environment, possibly with research experience; Are curious about our user group — the researchers — and how their needs can be translated into infrastructure solutions; Have knowledge of research data management and the FAIR Principles; Are willing to actively participate in collaboration — both nationally and internationally; Have good communication skills in both English and Danish

Department: DTU Wind
Workload: 100%
Duties: The main purpose of this tenure track assistant professor position is to strengthen our research on optimal design of hybrid power plants and to integrate the research in DTU’s open-source HyDesign tool, as well as other research and teaching activities; You will work on the following tasks: Further development and consolidation of our hybrid power plant sizing and operational optimization research for electricity and P2X market participations; Integrate the developed research in DTU Wind’s HyDesign toolkit together with the HyDesign development team; Implementation of Hybrid Power Plant Energy Management System in Risø HPP facility; Support and eventually lead teaching activities on hybrid power plants including industrial training on HyDesign; Bachelor, master and PhD thesis supervision; Publish research in reputable conferences and journals; Assist with fund raising; Support with project management of research and research-based consultancy projects
Requirements: We give priority to the following qualifications within the following areas: Sizing optimization of hybrid power plants; Energy Management Systems for Hybrid Power Plants; Knowledge of electricity and other energy markets; Knowledge of cost model and financial modelling of renewable technologies; Coding experience (Python, Matlab); You must be responsible for the teaching of courses. DTU employs two working languages: Danish and English. You are expected to be fluent in at least one of these languages, and in time are expected to master both; As formal qualification you must hold a PhD degree (or equivalent); You will be assessed against the responsibilities and qualifications stated above and the following general criteria: Experience and quality of teaching; Research experience; Research vision and potential; International impact and experience; Societal impact; Innovativeness, including commercialization and collaboration with industry; Leadership, collaboration, and interdiscipl...

Duration: 2 y
Duties: We offer an attractive Research Associate position in Computer Vision for vision-based anomaly detection.The successful candidate will join the Computer Vision, machine Intelligence and Imaging (CVI²) research group headed by Prof. Djamila Aouada to conduct exciting research with high impact in collaboration with multiple stakeholders. He/she will help in shaping research directions within a European project involving multiple interdisciplinary partners. He/she will perform the following tasks: Shaping research directions and producing results. Topics include but are not limited to: Anomaly detection and pattern recognition in visual data; Multimodal fusion; Thermal imaging; Unsupervised and self-supervised learning; Data simulation and synthesis; Disseminating results through scientific publications; Collaborating with multiple project stakeholders from a large European consortium; Carry out high-impact research within an interdisciplinary context; Coordinating research projects an...
Requirements: A PhD degree in Electrical Engineering, Computer Science, Applied Mathematics or a related field; Competitive research record in Computer Vision, preferably with publications at top-tier CV/ML conferences/journals (e.g., NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, TPAMI, etc.); A previous experience in European projects would be a plus; Strong development skills in Python; Strong mathematical background; Ability to work in an interdisciplinary context; Broad experience with machine learning algorithms and deep learning concepts; Commitment, team working, and a critical mind; Fluent written and verbal communication skills in English are mandatory; Advanced scientific report writing skills

Duties: Conduct cutting-edge research in areas of interest to the Research Group, including but not limited to: Exploring the socio-technical implications of emerging technologies for organisations, the economy, and society; Investigating digital strategies and transformation with a specific emphasis on the financial, public and/or energy sector; Design and management of socio-technical systems for both private and public services; Examining the perception, acceptance, and adoption of emerging technologies; Disseminate results through scientific publications, aiming for the best-ranked outlets; Communicate and work with stakeholders in government (ministries, regulators, government-run start-up incubators) and companies; Prepare research proposals to attract industry partnerships as well as national and European grant projects
Requirements: PhD degree in Information Systems, Business Informatics, Management, Finance, Economics, Social Sciences, Political Sciences, Psychology, or a related field; Proficiency in research methods commonly used in information systems research; Proven track record of publishing research papers in reputable conferences and journals; Strong interest in publishing in high-ranked journals such as the Association for Information Systems Senior Scholars’ List of Premier Journals and in related outlets like Business & Information Systems Engineering, Electronic Markets, Government Information Quarterly, Technology in Society, or in Information Systems conferences like ICIS, ECIS, HICSS, and the Annual Meeting of the Academy of Management

Workload: 80-100%
Duties: Lead on actuarial audits under IFRS/US GAAP/Solvency II including the audit of technical reserves; Support clients with the implementation of regulatory requirements including Swiss Solvency Test, ORSA, Responsible Actuary tasks and Solvency II; Develop solutions to non-life actuarial complex problems for insurance and reinsurance clients; Support clients with the actuarial aspects of finance transformation programs; assist them to understand the relationships between actuarial, accounting and finance; Contribute to the automation and innovation projects; Support the development of the junior actuarial team members; Assist with the development of proposals to acquire new business; Identify business opportunities by building relationships both internally and externally
Requirements: University degree in Actuarial Science, Economics, Finance, Mathematics or similar; Fully qualified actuary (SAV/FIA/CAS or equivalent) or close to completion of the actuarial education; Minimum 3-5 years of experience as a non-life actuary in reservation and capital within the consulting environment or insurance industry; Experience in programming and with data science tools is a plus; Fluent German and English are a must-have; French will be a strong plus; Entrepreneurial mindset, independent and outgoing personality who fosters collaboration

Duties: We seek to recruit a tenure-track assistant professor or an associate professor that is active in the emerging edge computing areas of Embedded AI, Edge AI, TinyML or AIoT. We are specifically interested in candidates that employ embedded intelligence within traditional embedded systems fields, such as networked embedded systems, distributed sensing systems, mobile and wearable systems, ubiquitous systems, and the (Industrial) Internet of Things. Candidates who are well established in traditional embedded systems fields will also be considered and are welcome to apply
Requirements: As a formal qualification you must hold a PhD degree (or equivalent). If you are applying for the associate professor position you should also have academic qualifications equivalent to those obtained by holding an assistant professorship and documented didactic/pedagogic training

Duties: Under the operational responsibility of the IT Crew Lead, the primary responsibility of the Internship Solution Analyst is to participate to help the team regarding: preparation, execution, analysis and followup linked to testing phasis or any new subject identified by the Crew Leader in collaboration with the different Solution Owners
Requirements: Degree in Computer Science, Management of Information Systems, or related analytical field required; or equivalent experience

Duties: Advise clients on data and cloud strategies, governance models, and foundational capabilities for digital transformation; Design and deliver modern data solutions-such as MDM, data catalogs, and quality tools-that align with both enterprise architecture and compliance standards; Develop scalable Target Operating Models and data ownership frameworks based on maturity assessments; Drive end-to-end data transformations across major platforms such as Snowflake, Azure, AWS, and Google Cloud - from vision to execution; Integrate AI into data governance and quality to enable intelligent classification, metadata enrichment, and anomaly detection; Contribute business development, shape go-to-market strategies and contribute to proposals and thought leadership
Requirements: University degree in business, IT, engineering, digital disciplines, or a comparable qualification; Minimum of 3 years of relevant experience, ideally in consulting or large-scale transformation programs, with involvement across strategy-to-execution in cloud, data, and AI; Strong expertise in data management (e.g., data governance, MDM, data quality) and practical experience with cloud platforms such as Azure, AWS, or Snowflake; familiarity with tools like CluedIn, Reltio, Collibra, and Informatica; Strong interpersonal, communication, and collaboration skills; a proactive mindset with a client-focused approach; Fluency in German (mandatory) and English, both written and spoken

Workload: 80-100%
Duties: Support with financial and regulatory audits for insurance companies according to national and international accounting standards (e.g. OR, IFRS, US GAAP); Conduct independent recalculations or assumption reviews of technical provisions within the framework of financial audits or responsible actuary mandates; Immerse in hands-on actuarial consulting across Swiss Solvency Test (SST), Solvency II, capital modeling, actuarial model validation and due diligence; Solve complex problems for insurance & reinsurance clients and support clients with the actuarial aspects of finance transformation programs; Automatize existing processes, develop new solutions to analyze, evaluate and visualize actuarial data in R, Python or PowerBI; Collaborate with accounting, tax, and corporate finance professionals to bring integrated solutions to our clients; Build a professional network and interact with internal and external contacts
Requirements: University degree in actuarial science, mathematics, statistics, finance, economics, or physics; Studying for or newly qualified actuary SAV/DAV/FIA/CAS or equivalent actuarial qualification; Exceptional quantitative problem-solving skills and the ability to communicate complex ideas effectively; Entrepreneurial mindset, independent and outgoing personality who fosters collaboration; 1-4 years of experience within the non-life insurance industry in an actuarial position; Strong IT skills: specifically in MS Office and good knowledge of at least one programming language (e.g. Python or R), experience with actuarial software a plus; Fluent German and English, French an additional asset

Workload: 80-100%
Duties: Fachliche und organisatorische Unterstützung in Projekten zur Weiterentwicklung der regulatorischen Grundlagen im Kredit- und Hypothekarbereich (von Banken und Versicherungen); Durchführung von Aufsichtsgesprächen zu Kreditrisiken mit Fach- und Linienvertretern der Banken und Versicherungen (bspw. im Rahmen von Vor-Ort-Prüfungen, welche die FINMA durchführt), aber auch mit Vertretern von Prüfgesellschaften und anderen Behörden; Einschätzung der Risikosituation bei der Kreditvergabe einzelner Banken sowie Beurteilung und Risikoeinschätzung von Kreditanalysen von durch Banken zur Verfügung gestellten Kreditfällen. Dabei beschäftigen Sie sich mit bankinternen sowie auch regulatorischen Risiko-Massen, um die Auswirkungen insbesondere auf die Kreditrisikosituation sowie deren Beurteilung bei beaufsichtigten Instituten einzuschätzen; Enge Zusammenarbeit mit zuständiger Linienaufsichtsfunktion oder anderen internen Einheiten in Kreditrisiko-bezogenen Aufsichtsdialogen
Requirements: Hochschul- oder Fachhochschulabschluss in Wirtschaftswissenschaften (z.B. Finance, Banking mit quantitativer Vertiefungsrichtung) oder in einem vergleichbaren Gebiet; Mehrjährige Berufserfahrung im Kreditrisikomanagement oder Finanzbereich bei Banken mit Schwerpunkt in den Bereichen Kredit respektive Hypothekarmarkt; Ausgeprägte Fähigkeiten, komplexe Zusammenhänge zu verstehen und adressatengerecht schriftlich und mündlich zu kommunizieren; Gute Daten-Analyse-Fähigkeiten; Selbständige, proaktive Arbeitsweise auch in komplexen Situationen; Sehr gute Deutsch- oder Französischkenntnisse (C2) sowie gute Kenntnisse der jeweils anderen Sprache (B2) und gute Englischkenntnisse (B2)