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de: Wissenschaftliche/r Mitarbeiter/in für NLP und Media Bias Detection (w/m/d)

Aug

28

Aug

7

Georg-August-Universität Göttingen; Germany

Unterstützung bei der Entwicklung von Klassifikatoren und Plattformkomponenten, insbesondere Training und Bewertung von Machine-Learning-Modellen zur Erkennung von Bias; Entwurf und Betrieb von Pipelines zur Datenqualitätssicherung und Messrahmenwerken; Zusammenarbeit mit internationalen Partnern und Präsentation von Forschungsergebnissen auf Konferenzen; Organisation von Workshops für interne und externe Stakeholder; Austausch mit einer interdisziplinären Gemeinschaft aus Forschenden und Expert:innen aus der Wirtschaft und Industrie; Betreuung von studentischen Projekt- und Abschlussarbeiten mit Bezug zum BARI-Projekt.

Master-Abschluss in Informatik (mindestens mit Note „gut“); praktische Erfahrung in den Bereichen maschinelles Lernen und NLP; Kenntnisse in PyTorch, Hugging Face Transformers und RAG-Frameworks; praktische Erfahrung in der Nutzung von Docker, Kubernetes, DevOps; mindestens einjährige Berufserfahrung im Bereich Software- und ML-Engineering; Erfahrung in der Erforschung von Media Bias; soziale und kommunikative Kompetenzen für den Aufbau von Communitys, die Organisation von Workshops und die Präsentation von Ergebnissen; praktische Erfahrung in der Anleitung von Studierenden; Deutschkenntnisse (Niveau B2 oder besser), Englischkenntnisse (Niveau C1 oder besser)

ch,sg,us: Head of Engineering

Aug

7

Scor; Switzerland

Lead the Reinsurance Specialty Lines Engineering underwriting function, manage and develop a global team, oversee the Engineering treaty portfolio, execute business plans, and deliver underwriting performance and strategic development in alignment with company objectives.

Minimum of 15 years of experience in Engineering (Re)-insurance underwriting; deep understanding of Engineering insurance and reinsurance products and market dynamics; proven ability to manage portfolio performance, capital deployment and business plan delivery within a global underwriting environment; strong communication, influencing and negotiation skills; demonstrated leadership and people management capabilities in an international environment; demonstrated ability to define and execute strategy, influence senior stakeholders and align diverse teams around common objectives in a complex international environment; ability to navigate and succeed in an international organization and build strong relationships with internal stakeholders, clients and brokers; university Degree or similar education; Insurance/ Reinsurance qualifications desirable

ch: Spezialistin Datenanalyse und Automatisierung (m/w/d)

Aug

7

Eidgenössische Finanzmarktaufsicht; Switzerland

Gestalten Sie als Spezialistin Datenanalyse und Automatisierung innovative Daten- und Prozesslösungen in einem vielseitigen Umfeld. Nutzen Sie die Gelegenheit und bewerben Sie sich!

Hochschulabschluss in einem der folgenden Bereiche: Wirtschaftsinformatik, Wirtschafts-/Finanzwissenschaft, Statistik, Mathematik oder verwandte Fachgebiete; Gute Kenntnisse der Programmiersprache Python sowie ein fundiertes Verständnis moderner Software-Engineering-Prinzipien; Erfahrung mit quantitativen Analyse- und Reporting-Werkzeugen, relationalen Datenbanken (SQL) sowie idealerweise mit Microsoft Azure Services.; Hohe organisatorische und konzeptionelle Kompetenzen; Sehr gute Deutschkenntnisse (C2)

de: PhD or postdoctoral researcher positions (all genders welcome)

Dec

31

Aug

6

Georg-August-Universität Göttingen; Germany

Develop and apply modern methods from machine learning and computer vision to analyze animal behavior or fundamental cognitive functions and their neural mechanisms in data science and computational neuroscience projects.

Strong background in either machine learning (especially deep learning) and computer vision or cognitive science and computational neuroscience to solve challenging scientific problems; Strong mathematical and analytical skills; Very good command of the English language; For postdoctoral researchers: PhD in a relevant field and ability to lead a small team of PhD students

fr: Actuariat alternance

Aug

6

Scor; France

Participer activement à l’ensemble des tâches de l’équipe actuariat, notamment l’amélioration des outils de pricing, la réponse à des appels d’offres en réassurance et l’étude d’expérience en assurance de personnes.

Master 1 en Actuariat; une première expérience en actuariat, notamment en assurance de personnes est un plus; dynamique et autonome : force de proposition; Excel et VBA; R; connaissance approfondie en assurance vie serait un plus (maitrise des tables de mortalité, d’incapacité et d’invalidité)

de: A Doctoral Researcher on Privacy in Emerging Technologies [P1] (m/f/d)

Aug

24

Aug

4

Georg-August-Universität Göttingen; Germany

Conduct independent research on privacy, transparency, and control in immersive technologies, such as Augmented Reality (AR), Virtual Reality (VR), Mixed Reality (MR), and Extended Reality (XR), including threat analysis and the development of human-centered privacy-preserving solutions; collaborate with researchers from Law, Psychology, and Ethics in the Medicine within CA.REX; publish and present research results at leading international conferences and in high-quality journals; supervise Bachelor's and Master's student projects.

A very good M.Sc. degree in computer science, human-computer interaction, or a related field; background in at least one of the following fields: privacy and security, HCI, usable privacy and security, interactive systems, immersive technologies; strong programming skills; ideally previous experience in conducting user studies; ability to work independently while contributing effectively to interdisciplinary research teams; very good command of English is mandatory, advanced German skills are an advantage; strong motivation to pursue a doctoral degree and contribute to high-impact interdisciplinary research.

ch: Head of Engineering & Product Delivery – Pricing, Modelling & Accumulation

Aug

4

Scor; Switzerland

Set the engineering vision and technical roadmap for the Pricing, Modelling & Accumulation P&C domain; lead the end-to-end delivery of integrated platforms that support critical P&C business capabilities; provide technical leadership and product delivery discipline; ensure alignment of architecture and engineering decisions with strategic goals; manage cross-team dependencies and deliver a coherent, resilient and maintainable technology landscape.

Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, Actuarial Science, Data Science, Business, Product Management, or equivalent relevant experience; significant experience in software engineering, platform engineering, technical delivery and engineering leadership; proven experience leading large engineering domains, including internal teams and external partners; experience shaping technical roadmaps, delivery plans and product outcomes with product and business stakeholders; strong understanding of modern software architecture, cloud platforms, APIs, integration patterns, data platforms, and model execution environments; strong knowledge of software development best practices, Agile methodologies, DevOps principles, observability, production operations and engineering governance; experience orchestrating delivery across multiple squads, applications, services and teams while preserving architectural integrity; experience with data-intensive, analytical and modelling platforms (pricing systems, modelling platforms, exposure management, analytics); experience integrating data pipelines, analytical models, risk assumptions, business rules, and applications; experience driving modernization and engineering operating model improvements; practical understanding of AI/LLM opportunities in engineering and analytics; experience in P&C insurance, reinsurance, pricing, modelling, exposure management, or regulated financial services is an advantage; fluency in professional and technical English;

ca,ch,fr,hk,sg,uk,us: Senior Structurer – Structured Asset Solutions

Jul

31

Scor; Canada

Contribute to the origination, structuring, analysis and execution of reinsurance solutions where asset risk is material, supporting regional teams and working closely with internal and external stakeholders to design transaction structures, provide technical guidance, and drive platform development and market expertise.

Substantial experience in complex financial services; exposure to life insurance, life reinsurance, structured finance, capital solutions, ALM, actuarial consulting, investment banking or asset-intensive reinsurance preferred; approximately 8–12+ years' experience; ability to operate independently on technically complex matters; ability to influence senior stakeholders without formal authority; strong understanding of life insurance or reinsurance balance sheets, structured reinsurance concepts, asset risk transfer, ALM, capital frameworks, accounting implications and transaction execution; strong financial modelling, analytical and commercial judgment; ability to translate complex technical topics into clear recommendations; excellent communication skills.

ch,lu,es: Innovative Problem Solver – Software Engineer

Jul

30

Lifeware SA; Switzerland

Play a pivotal role in crafting smart, high-impact software solutions for clients, collaborating with clients, designing scalable architectures, and mastering both backend and frontend development.

Master’s degree or PhD in a STEM field such as Mathematics, Physics, Computer Science or Engineering; passionate about programming and willingness to learn; ability to tackle both simple tasks and highly complex projects with enthusiasm and diligence; embrace autonomy and exhibit a high degree of accountability; pride in creating finely crafted solutions; team player who enjoys collaborating with colleagues and engaging with customers; fluent in English to communicate effectively with a global customer base

ch: Professur für «Gesundheit und Blockchain» (70-100%, open rank)

Aug

28

Jul

30

Universität Luzern; Switzerland

Professur für den Themenbereich «Gesundheit und Blockchain»; Aufbau des Zuger Instituts für Blockchainforschung; Forschung zu Blockchain-Technologien im Gesundheitswesen; Engagement in der Lehre im Bereich Gesundheit und Blockchain; Vertretung des Fachs in Forschung und Lehre.

Abgeschlossenes Doktorat in einem relevanten Gebiet; Für Ordinariat zusätzlich eine Habilitation oder habilitationsäquivalente Leistungen; Hervorragender Forschungsausweis (Publikationen, Drittmittel, Auszeichnungen); Hohe fachliche Qualifikation; Hohe Sozialkompetenz und Teamfähigkeit; Motivation für Chancengleichheit; Bereitschaft zum Engagement in der administrativen Selbstverwaltung; Offenheit für interfakultäre Zusammenarbeit; Deutschkenntnisse auf Niveau B2 oder Bereitschaft zum Spracherwerb.

hk: Marketing actuary, Life & Health - Hong Kong

Jul

30

Scor; hk

Contribute to the growth and profitability of SCOR's Life & Health business in Hong Kong by supporting client management, business development, product innovation, with a focus on Financial Solutions initiatives; identify opportunities, develop commercially attractive solutions and strengthen SCOR's market position in Hong Kong.

4-8 years of relevant experience in actuarial, valuation, pricing, capital management, IFRS 17, RBC or related insurance/reinsurance/consultant functions; FSA, ASA or in the progress of achieving ASA (or other equivalent qualification); strong understanding of life insurance financial statements, balance sheet management and key performance indicators; good understanding of the Hong Kong insurance market, including regulatory developments and industry trends; demonstrated ability to manage projects independently and deliver high-quality outcomes within deadlines; strong commercial awareness and client-focused mindset; strong analytical and problem-solving skills; excellent communication and presentation skills, ability to explain complex technical concepts to both technical and non-technical audiences; strong stakeholder management and influencing skills; relationship-oriented with proven networking capabilities; self-motivated, proactive and able to work effectively in a dynamic environment; team player with the ability to collaborate across multiple functions and geographies.

lu: Doctoral Researcher in Trustworthy World Models for Critical Systems

Jul

28

University of Luxembourg; Luxembourg

Research on trustworthy world models for multimodal critical systems, including exploring new machine learning architectures, implementing world models for vision, graph, and tabular data, and evaluating trustworthiness in real-world settings; contribute to both fundamental research and the development of software platforms and demonstrators with industry and public-sector partners.

Master in Computer Science; major in machine learning or computer vision is an asset; strong programming skills; strong analytical skills; industry experience in information and communication technology for energy or healthcare is an advantage; commitment; team working; a critical mind; motivation; knowledge of basics and latest developments of machine learning, especially foundation models and generative AI models; B2-level proficiency in the language of the thesis.

dk: Postdoc in environment-responsive antibody and nanobody discovery - DTU Bioengineering

Aug

31

Jul

28

Technical University of Denmark; Denmark

Work at the interface of protein engineering and toxin biology; develop antibodies, nanobodies, and binding proteins with condition-dependent activity; combine experimental discovery approaches with data-driven methods; collaborate with leading international partners; design, discover, and characterize antibodies and nanobodies whose binding changes with environmental conditions; take ownership of the research project; generate experimental data and link them to environmental factors influencing protein–protein interactions.

PhD in Computer Science, Machine Learning, Artificial Intelligence, Computational Biology, or a closely related field; strong theoretical and practical experience in deep learning; hands-on experience developing generative models; highly proficient in Python, PyTorch and/or JAX; experience training large-scale neural networks on HPC or GPU clusters; experience with representation learning and sequence or structural modeling; strong publication record in relevant AI/ML venues or interdisciplinary journals; ability to work independently and drive technical innovation; ability to manage projects and mentor students; advantage if experienced with protein language models (e.g., ESM, ProtT5), antibody-specific language models (e.g., AntiBERTy, AbLang2), structure prediction frameworks, geometric deep learning or graph neural networks, computational antibody/binder discovery or molecular modeling, MLOps, reproducible ML pipelines, and scalable AI infrastructure.

de: Wissenschaftlichen Mitarbeiterin (w/m/d)

Aug

10

Jul

28

Georg-August-Universität Göttingen; Germany

Mitarbeit in Lehrveranstaltungen und Leistungsprüfungen; Mitarbeit in einem der Forschungsschwerpunkte des Instituts für Numerische und Angewandte Mathematik

Diplom- oder Master-Abschluss im Fach Mathematik oder verwandter Disziplin; grundlegende Kenntnisse in und Interesse an Optimierung und variationeller Analyse; grundlegende Kenntnisse im Bereich der Algorithmen; einschlägige Sprachkenntnisse in Deutsch (Lehre) und Englisch (internationale Kommunikation); wünschenswert sind Erfahrung in der Lehre, mit wissenschaftlichen Publikationen und numerischer Softwareentwicklung

uk: Talent acquisition specialist

Jul

28

Scor; uk

Attract and deliver top talent for SCOR, act as single point of contact for Talent Acquisition, manage full recruitment cycle, support cross-functional initiatives, and ensure excellent candidate experience.

Several years of experience in recruitment (internal, agency or headhunting); strong expertise in Boolean sourcing (LinkedIn, job boards); experience in Insurance/Reinsurance markets highly desirable; experience within financial services markets essential; previous campus recruitment experience appreciated; proven ability to design effective sourcing strategies; excellent written and verbal communication skills; comfortable with ATS systems (Oracle HCM Cloud), Outlook, and MS Office; language skills desirable; strong problem-solving skills and ability to optimize processes; autonomous, organized, detail-oriented, and able to prioritize effectively; growth mindset, agility, and positive energy; collaborative, with a global and cross-functional mindset; customer-focused and strong at building trusted partnerships; results-oriented, accountable, and solution-driven; skilled at influencing and advising stakeholders; degree in Business Management or a related field, or equivalent combination of education and experience desirable; right to work in the UK.

ch: Wissenschaftliche:r Mitarbeiter:in im Bereich New Technologies im Bildungswesen 80-100% im Zentrum Digital Learning

Jul

28

Pädagogische Hochschule Zürich; Switzerland

Koordination von Projekten und Initiativen im Zentrum Digital Learning; Gestaltung von Veranstaltungen und adressatengerechte Kommunikation; Erschliessen neuer Themenfelder und Entwicklung innovativer Ansätze; Konzeption von Lernumgebungen, in denen Technologie, Design und Didaktik zusammenspielen; aktive Mitgestaltung komplexer hochschuldidaktischer Projekte mit technologischer Expertise, konzeptioneller Stärke und agilen Methoden; proaktive Zusammenarbeit mit internen und externen Partner:innen zur Förderung nachhaltiger Kooperationen.

Abgeschlossenes Masterstudium an einer Pädagogischen Hochschule oder vergleichbaren Hochschule mit hochschuldidaktischen oder pädagogischen Weiterbildungen; Erfahrung in der Anwendung von KI-Systemen und Kompetenzen im Bereich AI Literacy; Kenntnisse und Erfahrungen in Design, Interaction Design, Prozessdesign oder Ideation; Gestaltungsfreude und Motivation, die Zukunft des Bildungswesens mitzuprägen; breites Repertoire an didaktischen Methoden und Erfahrung in Projektkoordination; idealerweise genutzt im Hochschulumfeld oder Bereitschaft zur raschen Einarbeitung; kreative und strukturierte Denkweise in komplexen Bildungsprozessen; Offenheit für Innovation und Transformation im Hochschulbereich.

dk: Postdoc in MiTag Single-Cell Proteomics and Mass Spectrometry - DTU Bioengineering

Aug

15

Jul

24

Technical University of Denmark; Denmark

Design, optimize, and deploy single-cell proteomics workflows, especially for MiTag-derived peptides; Develop DIA-based mass spectrometry acquisition methods for simultaneous detection of global proteomes and multiplexed MiTag peptides; Benchmark MiTag reagent performance; Collaborate with interdisciplinary teams; Mentor junior lab members; Disseminate scientific results through publications and presentations.

PhD in biochemistry, (bio)analytical chemistry, cell biology, or a closely related field; extensive hands-on experience with LC-MS/MS-based proteomics, including at least 2–3 years operating high-end instruments (Orbitrap series preferred); strong track record in DIA-based proteomics workflows; demonstrated experience in single-cell proteomics, low-input sample prep, single-cell isolation, and liquid handling automation; proficiency in computational proteomics data analysis (DIA-NN, MSFragger, Spectronaut, or equivalent) and R/Python; ability to drive independent research; excellent written and oral English communication skills; PhD degree (or equivalent) required; desirable: targeted proteomics, FACS-based cell sorting, mammalian cell culture, analysis of large single-cell datasets.

ch: Praktikum Actuarial and Insurance Risk – Life

Jul

24

KPMG AG; Switzerland

Start your professional career in an international and dynamic environment. You will help develop analytical solutions for complex insurance questions and gain insights into actuarial topics such as reserving and capital modeling during your internship.

Bachelor- oder Masterabschluss in Actuarial Science, Mathematik, Physik, Data Science oder Statistik; Engagierte und kundenorientierte Persönlichkeit mit einer analytischen und exakten Arbeitsweise; Erste Berufserfahrung im Consulting oder im Versicherungsumfeld von Vorteil; Gute Kenntnisse in Excel; Gute Kenntnisse in mindestens einer Programmiersprache (z.B. Python, R, C#, VBA); Fliessende Deutsch- und sehr gute Englischkenntnisse, Französischkenntnisse sind ein Plus

lu: Associate Professor or Assistant Professor in Machine Learning and Foundation Models

Sep

30

Jul

23

University of Luxembourg; Luxembourg

Lead research in machine learning and foundation models, establish and grow a research group, collaborate within the university and with national research institutions, contribute to teaching at all levels, supervise and mentor PhD and postdoctoral researchers, participate in shaping the department’s research and educational agenda.

PhD degree in Computer Science or closely related field; research experience in Artificial Intelligence, especially machine learning; expertise in core areas of machine learning and foundation models (e.g., deep learning, representation learning, probabilistic modeling, reinforcement learning, optimization, trustworthy and efficient machine learning, large language and multimodal models); publication record in top-tier conferences and journals in AI and machine learning; teaching experience at undergraduate, graduate, or postgraduate level; willingness to contribute to teaching and administration.

ch: Eine(n) Lehr- und Forschungsbeauftragte(n) 50%

Aug

20

Jul

22

Universität Luzern; Switzerland

Lehre in Theologischer Ethik (4 Semesterwochenstunden); Eigene Forschungsleistungen; Einwerbung von Drittmitteln

Hohe Begabung für wissenschaftliches Arbeiten; Anerkannte Publikationen; Sehr gute sprachliche Ausdrucksfähigkeit; Kompetenzen in interdisziplinärer Forschung und Lehre; Erfahrung und Erfolge in der Drittmitteleinwerbung; Erfahrung im Forschungsmanagement; Kommunikative Kompetenz & Teamfähigkeit; Agilität und Selbstständigkeit

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