Duties: The objective of the PhD study will be to evaluate risks of wind turbine blade failure and damage by increasing the blade sizes, up to extra-large wind turbine blades. With increasing wind turbine blade size, the likely damage mechanisms of wind turbine blades are changing. Torsion forces become stronger, leading to the possible blade, and buckling collapse. This leads to changes in main blade damage mechanisms, different m those observed in current blades and collected in failure reports. In this work, you will investigate mechanisms of damage of extra-large wind turbine blades, using the methods of computational mechanics and finite element modelling. You will develop computational models of wind turbine blade damage under the mechanisms specific for extra-large blades, including increased tip velocity and the larger role of torsional forces, and explore solutions to mitigate the damage risks
Requirements: Masters degree in materials science, applied mechanics, mechanics, mechanical engineering or related disciplines; Knowledge of finite element modelling (Abaqus) and scientific programming in a higher-level language (preferably Python)

Duties: You will (a) train and deploy equivariant graph neural network models as surrogate simulators for Na-ion battery materials using local and European GPU HPCs at an unprecedented scale for screening across broad chemical space (b) develop and utilize in-house 3D graph representation based reinforcement learning methods for solving disordered crystal structures (c) develop, train and deploy periodic graph generative models for property conditioned inverse design of disordered, defective battery materials. (d) use state of the art explainable AI methods for deducing materials design rules from deep learning models
Requirements: As a formal qualification, you must hold a PhD degree (or equivalent). Candidates should hold a PhD or equivalent degree in physics, chemistry or materials science. The candidates must have a strong background in atomic scale simulations, have good programming skills; are interested in developing machine learning methods; and are expected to have performed original scientific research within the relevant fields listed above for the specific position. Demonstrated ability to work in collaborative research environments and a proven track record of high-quality research and publications in relevant areas are also required

Duties: Consult clients on data management topics including data strategy, master data management, and data governance, among others; Advise on data solutions related to data management/governance programs such as data migration, data catalogue, data quality, business glossary, data tools/software, metadata management, and master data management; Support clients in launching and/or transforming data management and governance programs and establish data ownership across their businesses by building up data governance organizations; Collaborate with international clients and gain experience working in multi-cultural teams; Contribute to a strongly growing and dynamic team that combines data management skills and industry expertise and is at the forefront of data innovation
Requirements: Holding a university degree, preferably in business, IT, engineering, or a digital discipline, preferably with 1-3 years of work experience in consulting; Ideally, having previous experience in data transformation projects and implementing analytics use cases, as well as knowledge of data management concepts and frameworks such as data governance, data policy, data models, data quality, and data migration; Possessing excellent interpersonal, listening, and communication skills, and demonstrating a proactive and enthusiastic approach to delivering value to clients; Understanding applications and tool-related business processes and having experience in playing a leading role in large transformation programs, ideally combined with agile/SAFe experience; Having excellent oral and written skills in both German and English and being flexible to travel within Switzerland and/or abroad to serve international clients

Duties: Unterstützt unsere Kunden mit Deinem breiten aktuariellen Expertenwissen im Bereich Nichtlebenversicherung in unterschiedlichen Beratungsprojekten und in der Wirtschaftsprüfung; Leitest aktuarielle und fachübergreifende Projekte als Hauptansprechpartner für unsere Kunden und Teammitglieder; Leitest die Prüfung der versicherungstechnischen Rückstellungen unserer Kunden nach statutarischer und IFRS Rechnungslegung sowie regulatorische Prüfungen; Berätst interne und externe Stakeholder bei Themen aus dem Nichtleben-Aktuariat, inklusive aktuarieller Reservierung, Tarifierung, IFRS 17, Risikokapitalmodellierung unter SST/Solvenz II und bei der Validierung von komplexen stochastischen Modellen; Wirkst mit deinen technischen Kenntnissen in interdisziplinären Projektteams bei der Modernisierung von Versicherungsprozessen und -systemen mit; Entwickelst neue und existierende Kundenbeziehungen und bist sowohl intern bei PwC als auch extern auf dem Markt präsent, um Kunden zu unterstütz...
Requirements: Verfügst über einen guten Universitätsschulabschluss in Mathematik, Statistik, Actuarial Science oder Naturwissenschaften; Hast 5-10 Jahre relevante aktuarielle Berufserfahrung im Nichtleben-Versicherungsmarkt, sei es in einer (Rück-) Versicherungsgesellschaft oder in der Beratung, von Vorteil in der Schweiz; Bist Aktuar SAV oder hast eine äquivalente ausländische Qualifikation; Hast angewandte berufliche Kenntnisse im Nichtleben-Aktuariat, z.B. in der Reservierung, Tarifierung, Risikomodellierung, Validierung, Produktentwicklung oder ähnlichen Bereichen; Vertiefte Erfahrung in der Nichtleben-Reservierung oder der Wirtschaftsprüfung sind von Vorteil; Erfahrung im Bereich der Quantifizierung von Cyber-Risiken ist von Vorteil; Vertiefte (akademische und praktische) Kenntnisse im Bereich Statistik (wie z.B. ein PhD in Statistik oder nahe verwandten Fächern; Mitarbeit an akademischen Publikationen etc.) sind von Vorteil; Ein Teamplayer, offen für neue Herausforderungen, flexibel ...

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

Workload: 80-100%
Duties: Support clients to improve their Cyber Security posture being in the area of network, infrastructure or application security; Address topics on a tactical and/or strategic level, be visionary and support clients in their Cyber maturity development over the upcoming years; Conduct security audits and assessments of their IT landscape, 3rd parties, systems and solutions based on international security frameworks; Analyze complex enterprise environments from a cyber security perspective; Work closely with and advise technology executives on operational and strategic changes regarding cyber security; Support/coordinate incident identification and response activities (e.g. data leakages, malware infections, intrusion etc.)
Requirements: Degree in information technology/information security technology or (business) computer science or equivalent; Experience in information security; Experience in managing large scale and interdisciplinary projects; Understanding of international security standards like ISO/IEC27001/2 and the NIST framework; Experience in technical forensic analysis, incident response and network administration is an advantage; Excellent communication skills in French and English (both written and verbal), German is a plus

Duties: The Institut Pasteur is an internationally renowned center for biomedical research that stands out in many disciplines. By deciphering the fundamental mechanisms of living organisms, its researchers contribute to the advancement of knowledge that leads to cutting-edge medical applications, ultimately improving public health
Requirements: Institut Pasteur posts regulary jobs at our sites. 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"

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: The Senior Analyst, APAC P&C Analytics will support the Head of APAC Analytics in delivering all P&C entities analysis, including quarterly financial analysis, financial planning and forecasting analysis, expense analysis, as well as business analysis for senior management. The role is required to focus on APAC P&C entity level analysis (i.e. the analysis of full P&L and B/S under local reporting framework) to allow a wholistic assessment on P&C contribution (dividend and capital repatriations) to Group. In addition, the role has a key component to further develop and enhance the Apac P&C entity planning and analysis tool as the business in Asia Pacific grows. Key deliverable to enhance the efficiency of the tools and database supporting the overall consolidation of entity actuals and plan financials
Requirements: At least 7 years of relevant working experiences in fields related to insurance/reinsurance/accounting, preferably with at least 5 years in actuarial, accounting, reporting matters and data analysis or insurance audit; Ideally a Qualified Actuary with very strong Actuarial or Accounting and IFRS knowledge, with insurance context; Solid data management skills; Strong experience on communication of complex financials to multiple stakeholders; Strong analytical and conceptual competence; Able to handle issues from macro perspective and delve into details when needed; A strong multi-tasker and preferably have good project management experiences; Innovative, versatile & committed; Excellent Excel skills, preferably VBA, macros usage

Duties: Support the global cat model evaluation of new vendor models/model updates; Undertake mini research projects to address areas of vendor model uncertainty and limitations and help deepen our understanding of natural perils modelled. Provide quick effective solutions to models and data issues; Support studies on the impact of climate change on SCOR's view of risk; Assist with the global natural and non-natural event response analysis and reporting
Requirements: Preferably 2-5 years of insurance or reinsurance experience in exposure/catastrophe modelling, actuarial or quantitative areas such as capital modelling, pricing and/or reserving; Digital Competencies: Experience in using standard business software a must. Competence in a language/tool supporting numerical programming also desired (e.g. Python, R, MAtlab); Personal Competencies: Actuary working towards full qualification or a person with an advanced degree in a closely related field where strong quantitative skills are required

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: Participate in the renewal pricing workflow process and ensure stakeholder needs (underwriters, business analysts, retro, accumulation) are met accurately and efficiently; Perform individual reinsurance deal pricing analyses and collaborate with underwriters to understand the client and form a view of risk; Meet with clients and brokers. Participate in underwriting audits. Communicate SCOR’s view of risk to internal and external stakeholders; Complete annual parameter studies and updates for Global pricing models
Requirements: Minimum BS in Actuarial Science, Mathematics or Statistics; Minimum of 10 years of P&C actuarial experience; Reinsurance or large account pricing experience; Knowledge of US property business including, homeowners, commercial property, inland marine, industrial and energy exposures

Workload: 100%
Duties: You will develop innovative approaches using state of the art statistical, machine learning and deep learning methods algorithms for detection, diagnostics and prognostics of incipient failures in industrial assets; 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; 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; You have programming experience in Python. Experience with TensorFlow and 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

Duties: Performing pricing activities providing timely, reliable and consistent quotes incl. risk assessment and process compliance; Develop local pricing models and benchmarks and adapt it according to the evolutions of global method assuring local consistency; Support business function on product development (pricing, risk & profitability); Provide support to business activities (client visits, presentations, solutions, technical seminar, training, ...); Contribute to the innovative/strategic projects that will be carried on within the macromarket and/or the knowledge/global pricing communities
Requirements: Actuarial Science school; Qualification or equivalency from a recognized actuarial organization required; 5 to 10 years work experience in insurance/reinsurance with a focus on actuarial issues; Experience with statistical and/or actuarial methods and tools: mostly Excel, VBA, Python and R

Duties: Work with a team of engineers, software development staff and technicians to create innovative solutions that include antenna arrays, RF processing hardware, and extensive software processing capabilities including application of machine learning techniques; Work at SwRI laboratories and support short-term travel to government facilities/military bases or other customer facilities for system installations and to provide technical support within and outside the United States; Collaborate with client technical representatives and SwRI senior engineering and software staff; Prepare technical documents and support proposal preparation as required
Requirements: Requires a Bachelors in Electrical Engineering, Electrical and Computer Engineering, or Computer Engineering; Must be familiar with telecommunications and communications signal processing with understanding of radar system concepts, waveforms, and processing desired

Duties: Apply state-of-the-art machine learning software solutions for various artificial intelligent system applications; Interact with team members to discuss technical solutions to problems; Develop tools and techniques to improve our team's research and development capability; Interact with clients (and potential clients) to discuss and propose technical solutions to unique problems
Requirements: Requires a Bachelors, Masters or a PhD in Data Science, Computer Science, Computer Engineering, Electrical Engineering, Mechanical Engineering, or related field; Training in perception (computer vision/image processing, LIDAR and/or radar) software solutions for various intelligent system applications; C++, python, and ROS experience required

Duties: Propose, design, and prototype strategic new features that on-device capabilities make possible; Build ML models to solve real-world problems and leverage data to evaluate and improve their quality; Own the implementation of your models in an on-device context, taking into account considerations like model size, performance, and latency; Collaborate with Grammarly’s core product teams to integrate your models into our user interfaces
Requirements: Has a deep understanding of modern algorithms for and approaches to ML and NLP; Has expert-level productivity coding in a modern compiled language and is excited about developing in Rust; Has worked on multiple platforms (macOS, Windows, Linux, and Android), especially cross-platform projects

Duties: Demonstrated experience in project leadership: project planning, interaction with different stakeholders, scientific supervision of statisticians; Scientific leader: excellent knowledge and experience in survival analysis, and linear and generalized linear models; Capacity to interface effectively with clinicians and statistical programmers; Capacity to work independently; Capacity to quickly read late development protocols, understand the statistical methodology, and apply it to clinical data; Knowledge and practice of CDISC SDTM and ADaM data standards; Ability to work in compliance with the company Analysis and Reporting SOPs and project data standards
Requirements: MSc or Ph.D. in Statistics; 8-10 years of relevant clinical trial biostatistics support in design, analysis, and interpretation. Proven experience of work with clinical trial data in support of safety and efficacy analysis; Ability to read, write and speak fluently in English

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

Duties: We offer an attractive doctoral position in the context of the ATLAS project, funded by the Luxembourg National Research Fund (FNR) and GomSpace Luxembourg. Specifically, you will contribute to one of the space systems track of ATLAS, which concerns the automated assessment of Autonomous Satellite Operation Orchestrators (ASOOs). ASOOs automate tasks that, a few years ago, were performed manually to minimise costs and improve the quality of service. Unfortunately, physical constraints (e.g., orbits), continuous evolution (e.g., to achieve more autonomy), and the distributed nature of ASOOs make their validation and verification (V&V) costly, ineffective, and nearly infeasible. Our research will lead to a toolset capable of exercising the PUS and REST entry points of those systems, automatically setting up simulation environments, and automatically determining the correctness of execution results. To this end, we aim to combine meta-heuristic and fuzzing approaches with natural lang...
Requirements: The candidate should possess a Master degree or equivalent in Computer Science, Informatics, Software Engineering or a related field; The ideal candidate should have some knowledge and experience in a number of the following topics: Software testing and analysis; Machine Learning; Modern Web services, including REST API; Natural Language Processing and Understanding, with emphasis on large language models

Duties: Review and capture of submission data, perform technical pricing and modelling of individual reinsurance treaties and review results. Share insights and analysis with other stakeholders though clear communication; Position will have a heavy emphasis for supporting Canada Property Catastrophe business. Additional LOBs (Property NonCAT, Casualty, Auto) as well as other regions (LatAm, US) will also be supported as required; Monitor the profitability of the portfolio. Adjust parameters and methodologies as needed; Deifine appropriate experience rating and cedent-specific model adjustment methodologies to tailor analyses to the specific risk; Participate in broker and client visits, audits, and renewal meetings as required
Requirements: 7+ years of experience in an actuarial pricing function with a strong knowledge of P&C actuarial pricing principles and statistical models; Expert proficiency with CAT modelling principles, data structures, and third party vendor models (RMS RiskLink, Touchstone Verisk); Strong MS Excel skills required. Ability to learn new data and digital tools as needed; Highly motivated individual with strong analytical and problem-solving skills; University degree in Actuarial Science, Mathematics, Statistics, or related field; Actuarial background/successful completion of CAS Actuarial exams highly desired

Duties: Support research groups in their daily data management tasks; Assist with managing data submissions and handling data access requests with focus on downstream processes (data quality checks, curation, ingestion); Contribute to the design and implementation of data stewardship tools; Contribute to research and developments towards novel IT solutions in research data management, research reproducibility and data protection; Develop and give training on relevant topics including Data Management and Reproducibility; Contribute to projects, project deliverables, scientific publications, and community work in the field of Data Stewardship
Requirements: Minimum a master’s degree or equivalent in computer science, engineering, data science, or another field but with proven experience; Knowledge of using the shell (any OS, preferably UNIX) is desirable; The ability to demonstrate computer programming skills is desirable; Experience with hands-on data management and data custodianship is an asset; xperience of collaborative research is considered an asset; Knowledge of FAIR principles and the RDM life cycle and how to implement them into data infrastructures, tools and policies is an asset

Duties: As a PhD candidate, you will be tasked with the development of a framework/methodology to better integrate AI into the workflow of wind farm design optimization. You will investigate the potential of combining the strengths of Machine Learning based surrogate modelling for wind farm performance and loading with AI enabled search & evolutionary algorithms. You will work on methods to build/refine the surrogate models in accordance with the searching/optimization progress guided by the search & evolutionary algorithms, in order to save computational costs and improve optimization results. Based on your research, you will also contribute to the development of TopFarm/TopDesign, the open source wind farm optimization tool developed in DTU Wind
Requirements: A master’s degree in an engineering field or computer science; Proficiency in scientific programming (preferably with Python); A background in optimization

Duties: Large account pricing; Evaluate profitability, exposure and loss data and provide technical pricing indications for key accounts; Improve experience rating methodology by leveraging submission data to compile portfolio level data, establish benchmark frequency, severity selection by segment; Ensure that all accounts priced adheres to appropriate pricing peer review process as defined in Specialty Insurance Pricing Guidelines; Develop, test, maintain and enhance pricing tools
Requirements: Experience; Solid understanding of basic ratemaking concepts on exposure adjustments, trend, loss development, exposure rating and experience rating; Strong background in Umbrella and Excess Casualty, General Liability for all industries (inc. Energy); London Market pricing experience and exposure to Directors and Officers (D&O), Errors & Omissions (E&O), Environmental Liability and other Professional Liability Lines of business is a plus; 7-10 years of P&C Specialty or Reinsurance pricing experience

Duties: Collaborate with your team to develop and structure Analytics and Applied AI offers, promoting them to high-profile clients and prospects across various industries, such as Pharma & Life Sciences, Financial Services, Retail & Consumer, Industrial Manufacturing, and Public Services; Deliver high-impact projects with your team and engage with senior stakeholders during project delivery; Empower clients to leverage their data innovatively by proposing and developing the most suitable data-driven analytics and AI solutions according to the clients'needs and the availability/properties of their data; Assist clients in advancing digitization through algorithms and analyses of various data sources. Lead projects that include the technical and analytical development and optimization of existing solutions; Proactively contribute your technical expertise in your specialist topics, whether in general AI/ML or focused skills such as Computer Vision or Natural Language Processing (NLP); Eng...
Requirements: Hold a degree (bachelor's, master's, or diploma) preferably in data science, computer science, computer vision, NLP, or other AI-related fields, with 8 years of work experience. Multiple years of consulting experience is a strong plus; Have at least five years of practical experience in developing data science models, machine learning, and/or neural network technologies; Maintain an established network within at least one of the following industries in Switzerland: Pharma & Life Sciences, Financial Services, Industrial Manufacturing, Retail & Consumer, or Public Services; Demonstrate a track record of managing teams and complex engagements, excellent communication and problem-solving skills, a strong work ethic, and a drive for results; Work independently while being communicative, open, flexible, and team-oriented; Fluent in English (German is a strong plus) and willing to travel within Switzerland, and occasionally internationally