Duties: Provide support to the marketing, pricing and onboarding teams during the new business acquisition process; Analyse appraisal reports, transaction documents, and policy data; Generate cash flow projections for new life reinsurance transactions; Perform risk and profitability analyses of life insurance and reinsurance products and in-force portfolios; Develop appropriate reinsurance solutions encompassing accounting, regulatory and economic risk transfer aspects; Participate in client meetings and strategic projects; Contribute to the approval and onboarding of transactions; Collaborate with other teams like risk management, operations and accounting
Requirements: University degree in mathematics, actuarial science, business economics or a related field; Experience in life insurance or reinsurance, corporate finance, investment banking or financial institution consultancy; Experience in pricing and structuring bespoke reinsurance contracts or in insurance mergers and acquisitions; Knowledge of international accounting and regulatory frameworks in the context of the life insurance industry (CH and US jurisdictions are a plus); Proficient in developing practical and efficient solutions from theoretical knowledge; High degree of personal integrity and strong sense of responsibility; Creative and open to new approaches; Proficient in Microsoft Office tools; Fluent in English

Duties: In this role, you will be independently proposing, designing and implementing software solutions. You will follow a no-nonsense agile methodology and develop test-first. In our flat-hierarchy organization everybody is responsible for both writing software and interacting with customers to gather requirements, manage projects and constantly contribute to the company’s innovative spirit
Requirements: you are Mathematician, Computer Scientist, Physicist or an Engineer from another field (with MSc or PhD) you are enthusiastic about programming (experience is not mandatory) and have the will and initiative to dive in and learn constantly you take joy in designing simple and efficient solutions that help your customers you embrace autonomy and exhibit a high degree of accountability

Duties: Since 1987, Generali Switzerland has been a trustworthy lifetime partner for our customers. We have more around one million customers and offer products for every situation in life. These include property insurance, legal expenses insurance, life insurance and pension solutions. In founding the House of Insurtech Switzerland (HITS), Generali Switzerland is focusing on corp-ups to scale up the integration of knowledge. HITS partners with corporations and start-ups to develop innovative solutions
Requirements: Generali posts regulary jobs at our sites. 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"

Duration: 6 y
Duties: Forschung im Bereich der Angewandten Mathematik mit Schwerpunkt Analysis, Numerik und algorithmischer Lösung von Aufgabenstellungen in der mathematischen Bildverarbeitung, den Inversen Problemen und den Datenwissenschaften; Mitarbeit in interdisziplinären Kooperationsprojekten und FWF/EU-geförderten Drittmittelprojekten; Selbstständige Durchführung von Lehrveranstaltungen im Bereich der Angewandten Mathematik, Betreuung von Studierenden und Abhaltung von Prüfungen; Mitwirkung bei Organisations- und Verwaltungsaufgaben
Requirements: Abgeschlossenes Doktoratsstudium einer mathematischen Studienrichtung; Fundierte Kenntnisse in einem der folgenden Bereiche: Mathematische Methoden, Analysis und Numerik in der Bildverarbeitung, den Inversen Problemen oder den Datenwissenschaften; Fähigkeit zur Integration in das Forschungsprofil am Institut und insbesondere in interdisziplinäre Kooperationsprojekte; Team-, Organisations- und Kommunikationsfähigkeit; Sehr gute Englischkenntnisse; Fähigkeit zur Lehre in deutscher Sprache (nach einer Übergangsfrist von 2 Jahren)

Duration: 6 y
Duties: Research in the field of applied mathematics with emphasis on the analysis and the numerics of problems in mathematical imaging, inverse problems and data sciences; Collaboration in interdisciplinary cooperation projects and third-party funded projects; Independent teaching of courses in the field of applied mathematics, supervision of students and holding of examinations; Participation in organizational and administrative matters
Requirements: Doctoral degree in a mathematical branch of study; Solid knowledge of one of the following fields: mathematical methods, analysis and numerics in imaging, inverse problems or data sciences; Ability for integration into the department’s research profile and in particular into interdisciplinary cooperation projects; Capacity for teamwork, organizational talent and ability to communicate; Very good command of english; Ability to teach in German (after a transition period of 2 years)

Duties: As a Machine Learning Engineer, you will work closely with science teams to bring research to production. This is a role that combines engineering knowledge, technical strength, and product focus. It will be your job to implement novel ML systems, product integrations, and performance optimizations. You will guide the direction of a MLOPS automation framework via collaboration with the engineering and research communities
Requirements: 3+ years of non-internship professional software development experience; 3+ years experience and knowledge in MLOps, in deploying, operationalizing, and maintaining scalable AI/ML-solutions in production

Duties: Our researchers have a challenge: disproving the efficient market hypothesis every day. This requires them to harness massive compute power and to use state-of-the-art ML techniques; published in recent conferences or developed entirely in-house; as textbook methods won’t beat the competition. ML is integral to develop successful investment management strategies; it is one of the core drivers of our overall performance and success. It has long been a key tool at G-Research and we count a range of ICML and NeurIPS published researchers among our people
Requirements: Either a post-graduate degree in machine learning or a related discipline, or commercial experience developing novel machine learning algorithms. We will also consider exceptional candidates with a proven record of success in online data science competitions, such as Kaggle; Experience in one or more of deep learning, reinforcement learning, non-convex optimisation, Bayesian non-parametrics, NLP or approximate inference; Excellent reasoning skills and mathematical ability are crucial: off-the-shelf methods don’t always work on our data so you will need to understand how to develop your own models

Duties: This position will focus on the application of machine learning to develop computationally efficient emulators of high-resolution state-of-the art regional climate models. The goal of the emulators is to learn the relationship between large-scale predictions made by coarse resolution dynamical models and local surface variables of interest (such as near surface temperature, precipitation, wind speeds). This is accomplished by training the emulators to mimic the results of computationally expensive high-resolution regional climate models. The result is a suite of computationally lightweight algorithms capable of generating large ensembles that can translate coarse resolution operational climate predictions or projections into robust and reliable regional and local information
Requirements: Applicants must hold a master's degree or equivalent education in atmospheric sciences, statistics, computer science, applied mathematics or related disciplines; Experience in atmospheric physics, climate dynamics, and statistical modelling is required; Experience with scientific programming using Python, R, Matlab, Julia, C/C++ or similar is required; Experience with machine learning is an advantage

Duties: The position is intended to give promising and motivated candidates with a strong background in advanced mathematics the opportunity to pursue advanced research leading up to a doctoral degree within the activities of research presently represented in the department. These are: Algebra, Algebraic Geometry, Analysis and PDEs, Topology. More specifically we are working in combinatorial commutative algebra, categorical aspects of algebra, algebraic geometry, K-theory, equivariant and motivic homotopy theory, analysis on manifolds, dispersive partial differential equations
Requirements: Applicants must hold a master's degree or equivalent education in Mathematics

Department: Biozentrum - Center for Molecular Life Sciences
Duties: The Biozentrum of the University of Basel is one of the leading life sciences institutes in the world. Its fundamental research embraces a wide range of topics such as biochemistry, biophysics, physics of living systems, structural biology, microbiology, infection biology and immunology, cell and developmental biology, neurobiology, genetics as well as computational and systems biology
Requirements: We are looking for ambitious and highly motivated young talents from all over the world to join the Biozentrum Basel International PhD Program and our scientific community

Duties: Bando di selezione n. 21/2023 per il conferimento di n. 1 assegno, tipo A, per lo svolgimento di attività di ricerca
Requirements: Progetto dal titolo "Trasporto Ottimo: nuove sfide tra analisi e geometria/Optimal Transport: new challenges across analysis and geometry"

Duration: 2 y       
Workload: 100%
Duties: The positions are funded by the SNSF Starting grant "Multiresolution methods for unstructured data": Rapidly increasing unstructured data is omnipresent in our everyday lives. Typical examples are data from social networks, text and audio data, photos, and videos, but also scientific measurements and simulation data. Efficient processing and analysis of these data have become vital for our society. In "Multiresolution methods for unstructured data", we develop novel and fully discrete data-centric multiresolution approaches tailored to unstructured data, focusing on efficient algorithms for computational uncertainty quantification and adaptive strategies for active learning and non-smooth data
Requirements: PhD in (applied) Mathematics, with a research focus on approximation theory, harmonic analysis, or similar; Programming knowledge in C/C++ or similar; Fluent in English, Italian is a plus

Duties: Carry out research in the field of digital identity wallets, such as: Critical evaluations of technical design choices for digital identity wallets, emerging standards (e.g., OIDC4VC/VP) and their compatibility with existing standards; Economic implications of digital identity wallets and incentives for stakeholders to adopt them; Legal compliance of digital identity wallet designs with the multi-layered regulatory framework (e.g., eIDAS, GDPR, SDGR); Provide guidance to PhD students; Disseminate results through scientific publications; Prepare research proposals to attract industry partnerships as well as national and European grant projects 
Requirements: PhD degree in Information Systems Engineering, Management Information Systems, Technology & Law, Computer Science, Software Engineering, or a related field; Experience with interdisciplinary, multidisciplinary, or transdisciplinary research projects and related research methods (e.g., design science research); Experience in publishing high-quality research, as demonstrated by research under review or published in 1st quartile conferences and journals (according to Scopus)

Duties: Contribution to the system analysis and design of future infrastructure expansions (hardware & software); Contribution to development, and automation of provisioning and configuration management of a Linux-based infrastructure, including but not limited to HPC clusters, parallel storage systems and heterogeneous network equipments; Deployment of new systems according to best security practices and creation of the associated documentation; Participation in the daily operations, monitoring the HPC clusters, response to incidents in a coordinated manner
Requirements: Bachelor and/or Master in Computer Science, or equivalent degree, ideally with a specialty in systems, networks and applications administrations; Expert knowledge in GNU/Linux system administration (Red Hat and derivatives); Good knowledge in at least one scripting language (Bash, Python, Ruby), in Version Control Systems (Git) and in virtualization and containers technologies; Solid understanding of networked computing environment (Ethernet, Infiniband); System administration “best practices” are part of all actions

Duties: The candidate will be expected to work on an independent research program while being encouraged to interact with different research groups. The candidate should contribute to the life of the department, including teaching, seminars, working groups and other research related activities
Requirements: Applicants should be high potential new or recent PhDs, working in derived algebraic geometry

Duties: In this role you will be responsible in leading the strategic, statistical thinking and contributions to the Development Plans, Regulatory Strategy, Health Technology Assessment and Commercial Presentation for indications/projects within an AZ product team. You will provide leadership to statistical staff on the indications/projects so that all work is carried out with regards to AZ standards and external regulations; through partnership with experts, developing design options and providing high quality decision support to enable the business to make informed decisions; quantifying the benefit, risk, value and uncertainty of the emerging product profile
Requirements: MSc or PhD degree in Statistics, Biostatistics, or related quantitative fields, or equivalent course work/technical experience; Understanding of regulations/developments in the area of Clinical Development and Biostatistics; Appropriate experience as a statistician for the relevant position level with clinical trials, pharmaceutical development, regulated research, and/or related areas of statistical applications

Workload: 100%
Duties: Get to know "Thought Leadership" firsthand responding to today's changing market environment and new challenges in cyber security; Help our clients assess, build, and improve the effectiveness and quality of their information security as part of interdisciplinary teams of specialists working on advisory projects; Analyze complex enterprise environments from a cyber security perspective in different industries; Provide visibility and remediation of vulnerabilities and compromises, by among other executing penetrations tests and supporting crisis simulations; Help clients effectively and efficiently respond to cyber incidents; Assess information security management systems and provide independent assurance in accordance with national and international regulations and standards
Requirements: Bachelor's or Master's degree in (business)informatics, computer science, cyber security or similar; First experience in information security or in a comparable environment is preferred; A must: an interest in advisory topics and a deep technical understanding gained through training or other experience; Team spirit, determination, willingness to take action, and quick and analytical thinking; Proficiency in English and German

Duties: Develop mathematical modelling and solution algorithms for routing and scheduling passenger transport using CCAM fleets; Advance multimodal traffic assignment models to consider transport equity and multimodality; Propose and investigate the use of semi-personalized travel incentives for improving public transport; Conduct case studies to validate the models and algorithms; Publish in high-impact journals and present your results at conferences; Spend 6 months visiting one of our partner universities, in Europe or United States (the most suited partner will be decided together with the candidate during the first 6 months of the project)
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. Your background should be in Transportation, Operation Research, Applied Mathematics, Computer Science, or related

Duties: Accepting and evaluating requests for structured reinsurance including subsequent creation of tailored solutions for insurance and corporate customers; Drawing up actuarial analyses and projections to manage profitability; Developing and coordinating collaboration with the market departments and our representative offices in the various geographies; Cultivating contacts with existing business partners (customers and brokers) and building new business relationships; Preparing and holding seminars on structured reinsurance and being willing to appear as a speaker at conferences etc; Planning, steering, controlling and coordinating business and process data according to the defined quality standards
Requirements: Master's degree in mathematics or business mathematics; Hands-on experience, gained for example through internships or employment as a working student, in the insurance or financial sector; Familiarity with the preparation of balance sheet analyses as well as with the application of balance sheet, regulatory and fiscal guidelines and processes

Duties: Du erstellst Software mittels Java unter Verwendung von Restful- Technologien, BPMN Prozessautomatisierung mit Camunda, Angular (Frontendentwicklung) u.v.m; In modernen Entwicklungsumgebungen arbeitest Du an integrativen Lösungen; Du bringst dich aktiv beim Design von Software und den zugrundeliegenden Prozessen ein; Durch aktive Mitarbeit lernst Du klassische und agile Projekt-Methoden kennen
Requirements: Studium der (Wirtschafts-)Informatik, Mathematik, Physik oder eines vergleichbaren Studiengangs; Erste Programmiererfahrungen in Java; Selbständiges, ergebnisorientiertes und engagiertes Arbeiten; Gute Auffassungsgabe und die Motivation, sich in neue Themengebiete einzuarbeiten; Ausgeprägte Lernbereitschaft und Freude an Teamarbeit

Duties: Optimize 5G New Radio (NR) with waveform based on orthogonal frequency-division multiplexing (OFDM) and its evolution for satellite communication (Satcom) applications; Design machine learning models to reduce the computational complexity and power consumption of several physical layer processing blocks of the receiver, such as decoding, channel estimation, and demodulation; Ensure the ML models reduce the complexity while maintaining satisfactory performance in terms of throughput and bit-error-rate
Requirements: A PhD degree in Telecommunication Engineering, or Electrical Engineering or Computer Science/engineering with a focus on wireless communications and AI/ML tools and methods; Experience in signal processing for wireless communications algorithms. Especially strong knowledge of the physical layer (tasks such as decoding, demodulation, and estimation); Background in optimization theory; Experience using machine learning to solve/improve physical layer processing tasks, especially decoding

Duties: The successful candidate will join the young, strong and motivated SpaceR research group focused on increasing the autonomy of aerial, planetary and orbital robotics for on-earth applications, space exploration, on-orbit servicing and manufacturing, and space resource utilization
Requirements: Qualifications: The candidate should possess a Ph.D. degree in Engineering, Computer Science, Applied Mathematics or affine

Duties: Wir bieten eng­agier­ten und qu­ali­fizier­ten Studierenden (Master oder Promotion) ein verg­üte­tes Praktikum im Bereich "Finanzst­abilität" an. Nach Absprache ist dabei grundsätzlich auch die Anfertigung einer Masterarbeit oder die Mitarbeit an einem Forschungsprojekt möglich
Requirements: Master­studierende/Promovierende mit guten volkswirts­chaftlichen Kenntnissen, z. B. in den Studiengängen Volkswirts­chaftslehre, Finance, oder Statistik; Intere­sse an Fr­agestellungen zur Stabilität des Finanzsystems und Regulierung, sowie deren empirischer Analyse; Gute ökonometrische Kenntnisse (z. B. Panel- oder Zeitreihenmodelle, logit/probit); Erfahrung mit ökonometrischer Software, insbesondere Stata, Matlab, oder R; Sehr gute Kenntnisse der englischen Sprache

Duties: The proposed PhD project will be a continuation of research done by Jim Barthel in computational number theory and public key cryptography in the context of the PRIDE project. A possible research starting point for this PhD project is the practical evaluation of a combination of graph-based techniques with number-theoretic problems like the “simultaneous Chinese Remainder Theorem” or integer factorisation and generalizations thereof, especially practical evaluations of possible algorithms for the “Decisional Simultaneous Chinese Remaindering” problem is of interest. Suggestions for other interesting research topics in computational number theory or public key cryptography can also be discussed
Requirements: Master-degree in Computer Science or Applied Mathematics; Proven interest in computational number theory or public key cryptography is required; Commitment, team spirit, a critical mind, and motivation are skills that are more than welcome; Language: English is a must, French/German in addition would be an asset; Willingness to inscribe as PhD-student at the University of Luxembourg

Workload: 100%
Duties: Get to know "Thought Leadership" firsthand responding to today's changing market environment and new challenges in cyber security; Help our clients assess, build, and improve the effectiveness and quality of their information security as part of interdisciplinary teams of specialists working on advisory projects; Analyze complex enterprise environments from a cyber security perspective in different industries; Provide visibility and remediation of vulnerabilities and compromises, by among other executing penetrations tests and supporting crisis simulations; Help clients effectively and efficiently respond to cyber incidents; Assess information security management systems and provide independent assurance in accordance with national and international regulations and standards
Requirements: Bachelor's or Master's degree in (business)informatics, computer science, cyber security or similar; First experience in information security or in a comparable environment is preferred; A must: an interest in advisory topics and a deep technical understanding gained through training or other experience; Team spirit, determination, willingness to take action, and quick and analytical thinking; Proficiency in English and German