Duties: Achieve results through detailed goal setting, accountability measures, effective partnership, performance management, collaboration with other groups and a dedication to serving customers, both inside and outside of CfDA (Center for Design & Analysis); Influence and supply to strategy development, defend statistical approaches and represent GBS (Global Biostatical Science) through participating in and collaborating with multidisciplinary study teams; Provide statistical contributions, statistical review, and quality control of Key Design Elements (KDE) protocols, randomisation specifications, Statistical Analysis Plans (SAPs), Table, Listing and Figure (TLF) shells, Submission Data File (SDF) specifications, other key study related documentation, protocol deviations, Flash Memos, Clinical Study Reports (CSRs), clinical publications, and other communications
Requirements: Degree educated in Statistics/Biostatistics or related subject with high statistical content; Post-graduate statistical experience in the pharmaceutical industry or medical research; Knowledge of SAS, R or other statistical software; Excellent communication skills and ability to work optimally within teams while also possessing the capacity to autonomously manage tasks and projects

Duties: Design, develop and deploy reproducible data pipelines using cloud-native tools. All our pipelines use infrastructure as code, have automated tests and are as re-usable and reproducible as possible; Connect with collaborators (scientists, project managers, etc.) to translate their needs and questions into technical requirements. We then use the requirements to build data pipelines and visualizations that are meaningful, comprehensible, and practical for them; Every data engineer has projects to lead and others in which there are only smaller contributions; Generate comprehensive documentation of the data products developed, both for technical and non-technical users; Promote good (coding/data) practices and lead by example
Requirements: MS/PhD or equivalent experience in Computer Science, Bioinformatics, or related field; 3+ years of demonstrated working experience as a data engineer; Experience with data pipeline design and creation is a must. The pipelines should use good coding practices and the right tool for the job. Experience with ETL jobs (e.g. AWS Glue, Databricks jobs, AWS Lambda) and orchestrators (e.g. AWS StepFunctions) is desirable; Solid experience in database design (partitions, schemas, choosing database type, etc.) and querying languages (SQL, pyspark or similar) is a requirement. Experience with delta lake (delta tables) is a plus

Duties: The focus of this PhD fellowship lies on method development in representation learning for graphs, similarity measures and clustering methods for graphs. Relationship graphs extracted from data have the potential to describe correlations and dependencies among objects in a dataset beyond pairwise interactions, and are crucial to quantify complex relationships in, e.g., spatial omics. Generally, these relationship graphs may vary in number of nodes and edges, and additionally have labelled nodes, which makes comparison of such graphs very challenging. Furthermore, we want to incorporate knowledge of an underlying semantic relationship between the nodes of the graphs, independent of the extracted spatial graphs themselves which should be integrated using suitable representations and embeddings
Requirements: This position requires a Norwegian master's degree in physics, mathematics/statistics, computer science, or similar, or a corresponding foreign master degree recognized as equivalent to a Norwegian master's degree. If you are near completion of your master’s degree, you may still apply; You must document significant coursework in machine learning, pattern recognition, statistics, deep learning, and programming skills. Coursework in signal processing and physics will be considered a plus

Workload: 80-100%
Duties: As part of our research team, you will take a central role in applied research projects in the field of AI for intelligent maintenance systems; You will develop innovative approaches using state of the art statistical, machine learning and deep learning methods and publish your outcomes in scientific papers; You will develop and implement data-driven algorithms for detection, diagnostics and prognostics of incipient failures in industrial assets and infrastructures; You will combine engineering knowledge with data-science techniques (physics-informed machine learning); You will closely collaborate with our industry partners in order to implement your algorithms in the operational environment; You will have a chance to work on projects in diverse application fields with various industry partners; The focus of your work will be on algorithm research and development, with relatively little data management/engineering; You will have the opportunity to co-supervise student research projects...
Requirements: You have a master degree in engineering, physics, computer science, statistics, applied mathematics or a related discipline; Alternatively, you have a bachelor degree in one of the above with practical experience in applied data science projects; You have programming experience in Python. Experience with TensorFlow and Keras/PyTorch is an advantage; You have experience with applying data analytical and machine learning methods; Experience with deep leaning algorithms is advantageous; You have high oral and written communication skills in English and preferably also in German; You are curious to learn and develop new methods and algorithms and apply them in real industrial systems; You are motivated to develop your personal research skills, coached by experienced researchers; We encourage applications from proactive and self-motivated candidates with analytical thinking and strong problem-solving passion and abilities, good communication skills and original thinking

Duties: Ultrasound are widely used at hospitals for medical imaging and allows both 2D (well-known from scanning during pregnancy) and 3D images to be created, which helps medical doctors in diagnosis and treatment of diseases. Transducers for 3D imaging are advanced and complicated devices. Commercial 3D transducers are most often made as so-called matrix transducers, but these are limited in the number of ultrasound emitters that can be practically fabricated, which limits the attainable image quality
Requirements: As a formal qualification, you must hold a PhD degree (or equivalent)

Department: Advisory
Workload: 100%
Duties: You will be part of our international, dynamic Cybersecurity team and help clients respond to cyber-attacks, to recover from such, assess security vulnerabilities, develop threat models, define and implement security strategies or transform a customer's secure software development practices in an agile environment; You act as engagement manager for cybersecurity related projects (e.g. Vulnerability Management, Cloud Security, Security Architecture, Security Monitoring, IAM, Security Change Management, etc.) and become the trusted advisor of your clients; You will simultaneously work on multiple client engagements of varying size, scope and complexity; as such you will be responsible for all aspects of client engagements from scope definition to execution; You advise our clients on how they can improve their cybersecurity maturity and support them on their strategic cybersecurity roadmap and you are in charge for business development; You work together within a team of experts and a glo...
Requirements: You have at least 5 years of relevant experience in the field of cyber security and privacy; for Senior Manager at least 8 years; You have worked within a consulting environment or security department; You have a deep technical understanding and hands on experience in various cyber solutions such as Vulnerability Management, Cloud Security, Security Architecture, Security Monitoring, IAM, Security Change Management, etc; You have strong verbal, written and interpersonal skills with the ability to interact with all levels of management and staff; You have a master’s or bachelor’s degree or an equivalent professional qualification. Any further certificates such as CISSP, CISM, SSCP are a plus; You are fluent in German and English; French is a plus

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