Aufgaben: ENSI is responsible for the supervision of Swiss nuclear facilities, i.e. the nuclear power stations, the interim storage facility for radioactive waste, the nuclear research facilities at the Paul Scherrer Institute (PSI) in Villigen and the Ecole Polytechnique Fédérale in Lausanne. Its regulatory remit covers the entire life of a facility, i.e. from initial planning, through operation to final decommissioning including the disposal of radioactive waste
Anforderungen: We crawl all higher jobs in research, teaching and administration at ENSI automatically and post them at acad.jobs. Additional jobs can be found by clicking here. Many more institutions are listed in the left frame (online version), see "Search yourself at 8000 institutions"

Aufgaben: Analyze and interpret complex datasets using Python/SQL and other analytical tools; Develop and maintain data hygiene processes to ensure data quality and results accuracy; Deliver results and insights using different data sources; Utilize Python/SQL to automate recurring projects as well as Ad Hoc request; Appropriately account for the timeliness and quality of all assignments
Anforderungen: Bachelor’s degree in a quantitative discipline (e.g., statistics, economics, mathematics, marketing analytics) or significant relevant coursework; 1; 3 years’ professional experience with data mining, segmentation, and/or predictive modeling using large, marketing databases; Demonstrated proficiency in Python/SQL programming; minimum 2 years; Working knowledge of MS Office; including PowerPoint, Word, Excel and Outlook; Strong analytic thought process and ability to interpret findings

Aufgaben: Develop algorithms and software solutions that integrate and evaluate large datasets from multiple disparate sources, and collaboratively identify biologically and clinically meaningful insights from large data and metadata sources; Lead and execute initiatives to apply AI and machine learning approaches to accelerate clinical trials, the areas of focus include patient recruitment, site selection, patient compliance and drop off etc; Interpret and effectively communicate insights and findings to product, service and business managers with great attention to detail & accuracy; Proactively seek for new opportunities, ask the right questions, prioritize and translate the business requirements into a data science problem and solution
Anforderungen: Master's degree in Data Science, Machine Learning, Electrical Engineering, Biomedical Engineering, or equivalent from an accredited college or university. (PhD preferred.); Minimum of 2 years of applied technical experience in machine learning, advanced analytics, and algorithmic model development, including predictive analytics and deep learning; Understanding of clinical trial processes, protocols, and operational challenges

Aufgaben: Architect, design, enhance, and build next generation fraud detection solutions. You will support all the product engineering lanes of EOR, with their AI/ML initiatives; Drive the architecture for key cross team/cross product AI/ML projects (via architecture/design documents and developing code key modules); Collaborate with product stakeholders to formulate business problems as technical data-centric problems; Work with software engineers to ensure feasibility of solutions. Deliver prototypes and production code as needed; Experiment with in-house and third-party data sets to test hypotheses on relevance and value of data to business problems
Anforderungen: 12+ years of relevant work experience with a Bachelor’s Degree or at least 9 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 6 years of work experience with a PhD, OR 15+ years of relevant work experience; PhD in Computer Science, Operations Research, Statistics, or highly quantitative field (or equivalent experience) with strength in Deep Learning, Machine Learning, Data Mining, Statistical or other mathematical analysis; Relevant coursework in modeling techniques such as logistic regression, Naïve Bayes, SVM, decision trees, or neural networks

Aufgaben: As a Computational Biologist, you will lead the integration and analysis of complex biological datasets to uncover novel drug targets and biomarkers. You will apply advanced computational and statistical techniques to CRISPR-based gene editing screens, DNA sequencing, transcriptomics, epigenomics, and proteomics data. Collaborating closely with interdisciplinary teams, you will drive data analysis strategies and contribute significantly to our drug discovery and development processes
Anforderungen: PhD in Computational Biology, Bioinformatics, Biostatistics, or a related field, with 2+ years of post-PhD experience. Industry experience preferred; Experience in Oncology and knowledge of cancer biology; Experience in cancer genomics and sequencing analysis required. Familiarity with publicly available genomics datasets and omics data resources; Proficiency in programming languages (Python, SQL) and bioinformatics tools/packages (R) and AWS

Aufgaben: We are hiring a Head of Data Science with broad experience and deep expertise in applying machine learning to real-world problems. You will develop and communicate hypotheses, analyses, results, ecosystem trends and ultimately innovative solutions to various stakeholders. You will work cross-functionally with several teams including engineering crews, product teams, and program managers. As a part of Industry Solutions Engineering (ISE), at the AI Acceleration Studio we work closely with senior executives and cross-functional teams as we bring design, data science, and engineering to jointly develop cloud-based solutions that have high impact and can accelerate the organization. We work in collaboration with Microsoft product teams, partners, and open-source communities to empower our customers to do more. We pride ourselves on making contributions to open source and making our platforms easier to use
Anforderungen: Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field and 8+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)

Pensum: 100%
Aufgaben: Wirke bei der Konzeption und Entwicklung von Lösungen und Produkten für die Datenanalyse, -berichterstattung und -visualisierung im Bereich Audit und Assurance mit; Erkenne, Erörtere und Untersuche die herausfordernde Geschäftsprobleme von unseren Kunden und Wirtschaftsprüfern; Erhalte Einblicke in verschiedene Geschäftsprozesse, IT-Systeme und Datenmodelle unserer nationalen und internationalen Kunden; Unterstütze unser Team bei der Integration unserer Lösungen in bestehende Geschäftsprozesse unserer Kunden; Interagiere mit Kunden verschiedener Branchen und Funktionsbereichen (Marketing, Vertrieb, Betrieb, Finanzen)
Anforderungen: Mindestens zwei abgeschlossene Semester in einer wirtschaftlichen oder technischen Studienrichtung; Grosses Interesse an der Analyse und Bewertung von Geschäftsdaten, IT-Umgebungen und Business-Prozessen; Wille, dir einen fundierten Einblick in die vielfältige Datenwelt unserer nationalen und internationalen Kundschaft zu erarbeiten; Ausgeprägte Eigeninitiative, gute analytische Fähigkeiten mit Anspruch auf höchste Qualitätsstandards; Erste relevante Berufserfahrung von Vorteil; Fliessende Deutsch- und Englischkenntnisse

Aufgaben: Sie verantworten den Aufbau eines pragmatischen Architektur-Management und erstellen dessen Architekturdokumentation; Sie begleiten unsere externen Projektleiter aus IT-Sicht bei unseren internen anstehenden Projekten (Erneuerung KIS, Erneuerung ERP, Lifecyle-Infastruktur-Projekte, etc.) und sind für die projektübergreifende Planung zuständig; Sie erstellen periodische Berichte zuhanden unseres Managements und der Geschäftsleitung und erarbeiten ein neues Betriebsmodell bis Mitte 2026
Anforderungen: Sie verfügen über eine fundierte IT-Ausbildung (Fachausweis, Informatik-Studium, etc.) und bringen bereits erste Erfahrungen im Gesundheitswesen mit; Sie überzeugen uns durch Ihre Kenntnisse in Architektur-Management sowie im Service Management; Mit Ihrer schnellen Auffassungsgabe, Ihrer selbstständigen sowie zuverlässigen Arbeitsweise und Ihrer Flexibilität wie auch Dienstleistungsorientierung bereichern Sie unser Team und sind ein zuverlässiger Partner für interne und externe Kunden

Abteilung: Advisory
Pensum: 100%
Aufgaben: You will work in challenging, international and fast paced SAP transformation programs focusing on strateg selection, design and implementation of the newest SAP solutions like S/4HANA and S/4HANA Central Finance; You will analyze our client's business finance and controlling processes, evaluate the best use of SAP solutions and, advise our clients on design and implementation of best-practice SAP finance and controlling solutions; You will manage sub-projects and lead teams of functional consultants and client staff
Anforderungen: You have a degree (bachelor/master/diploma) preferred in business, IT, engineering or business information systems or digital discipline. Preferably you focused and specialized on finance/controlling during your primarily and further education; You have more than 5 years of experience in process consulting and implementation of SAP finance and controlling solutions. Preferably you focused and specialized on finance/controlling during your primarily and further education; You have expert knowledge in specific SAP finance modules and a profound understanding of related business processes. You also have a very good understanding regarding the overall finance integration across finance and operations

Aufgaben: Looking for a Java Developer/Back-End
Anforderungen: In-depth knowledge in software engineering focusing on technologies like Java, Spring framework and Spring Boot, Hibernate/JPA, SQL; Hands-on experience in building distributed applications, (preferably) using microservice architectures and various integration patterns (messaging, RESTful API); Good knowledge and sound understanding of database technologies (SQL, Oracle PL/SQL); Interest or experience in blockchain/DLT makes the resource preferrable

Pensum: 100%
Aufgaben: Analysiere und beurteile zusammen mit unseren Technology Risk Spezialist*innen IT Prozesse; Identifiziere Optimierungspotenzial sowohl im Rahmen der finanziellen Berichterstattung als auch von IT-Risk Management Projekten; Übernehme von Anfang an Verantwortung und interagiere selbständig mit unserer Kundschaft; Baue dir ein berufliches Netzwerk auf und erhalte fundierte Einblicke in die vielfältige IT Welt von nationalen und internationalen Financial Services Unternehmen
Anforderungen: Erfolgreicher Bachelor- oder Masterabschluss im Bereich Informatik, Wirtschaftsinformatik oder Betriebswirtschaft mit Vertiefung in Informatik; Erste Berufserfahrung im Finanzbereich von Vorteil; Kenntnisse in SQL oder Python Know-how sind ein Plus; Du strebst das CISA-Diplom (Certified Information Systems Auditor) an; Ausgezeichnete Deutschkenntnisse und sehr gute Englischkenntnisse

Aufgaben: Successful candidates will join the young, vibrant, and interdisciplinary FINATRAX Research Group, which builds bridges between business research and information systems engineering. The group’s work is organised around four emerging technologies (Digital Identities, Machine Learning, Blockchain (DLT), and the Internet-of-Things) and three focus industries (Financial Services, Public Sector, Energy). The group consists of doctoral and post-doctoral researchers from diverse backgrounds, including business, technology, and policy. They are united in pursuit of sustainable technologies that have a positive impact on society
Anforderungen: PhD degree in Information Systems, Business Informatics, Management, Finance, Economics, Social Sciences, Political Sciences, Psychology, or a related field; Proficiency in research methods commonly used in information systems research; Proven track record of publishing research papers in reputable conferences and journals

Aufgaben: Successful candidates will join the young, vibrant, and interdisciplinary FINATRAX Research Group, which builds bridges between business research and information systems engineering. The group’s work is organised around four emerging technologies (Digital Identities, Machine Learning, Blockchain (DLT), and the Internet-of-Things) and three focus industries (Financial Services, Public Sector, Energy). The group consists of doctoral and post-doctoral researchers from diverse backgrounds, including business, technology, and policy
Anforderungen: PhD degree in Information Systems, Business Informatics, Business Engineering, Computer Science, Management, Finance, Applied Mathematics, or a related field; Proficiency in research methods commonly used in information systems research, such as design science research or quantitative methods

Aufgaben: The successful candidate will join the Serval research group by working on the MiCE (FNR-funded) project. The subject of the thesis will be “Mutation-based code embeddings” with supervisor Dr. Mike Papadakis. Successful PhD candidates will extensively explore and develop software engineering techniques that include the feasibility, practicality and success evaluation of prototype implementations
Anforderungen: Bachelor in Computer Science or related; Master on a subject related to Informatics, or Software Engineering, or Computer Science, or Information Technology; Strong background in software testing and Artificial Intelligence (e.g., Meta-heuristics, Machine Learning & NLP)

Aufgaben: Develop Solutions for AI systems and embedded aerospace/avionics systems and subsystems; Work on 2nd and 3rd Gen AI systems (Cognitive & Neuromorphic AI); Develop Solutions for neuromorphic systems and or Drones (UAS/UAV) AI/ML sensor fusion; Develop AI/ML Solutions for Aircraft systems and sensor fusion; Perform Data Science, analysis duties, design/make devices; May also support non-AI programs; Drive the team to meet budgets and schedules; May support Business Development activities
Anforderungen: Requires a Masters in Computer Engineering, Electrical, AI, or equivalent with directly related experience; A PhD in a related field is preferred; 8+ years related industry experience; Experience writing C/C++ code; It is preferred that at least 5 of these years are in creating/maintaining/teaching and deploying Commercial, Medical, or DoD AI; Shown industry development and deployment of AI experience. Experience may be in other industry fields (DoD, Medical, Commercial, etc); Experience with second/third generation AI, ML, Deep Learning, and signal processing/sensor fusion is preferred; Experience leading others to meet schedules

Aufgaben: Work with large, complex data sets. Solve difficult, non-routine analysis problems, applying advanced analytical methods as needed; Conduct analysis that includes data gathering and requirements specification, processing, analysis, ongoing deliverables, and presentations; Build and prototype analysis pipelines iteratively to provide insights at scale
Anforderungen: 3+ years industry experience and advanced degree in quantitative discipline (e.g., Statistics, Operations Research, Economics, Computer Science, Mathematics, Physics) or equivalent practical experience; Deep knowledge of experiment design and causal inference, strong analytical and causual reasoning mindset; Fluency in core set of Data Science, and SQL/Hive, R/Python, and ETL

Aufgaben: Communicate effectively with internal team, external clients, and industry partners; Design, build, debug and implement robotic and automation solutions utilizing mechanical, electrical, and software skills; Coordinate individual performance goals and objectives set by the organization; Assist in preparing proposals and cost estimates; Interact with customers to promote new business and develop technical requirements
Anforderungen: Requires a PhD in Robotics Engineering, Mechanical Engineering, Electrical Engineering, or similar engineering degree; Must, at a minimum, have robotics experience in the form of projects, previous employment, or coursework; Demonstrated project work using C++ or python is beneficial; A valid/clear driver's license is required

Aufgaben: Entwicklung und Unterstützung des Lösungsdokumentationsprozesses im SAP Solution Manager der gesamten SAP-Systemlandschaft unter Einhaltung der Qualitätsstandards im Rahmen der Änderungs- und Freigabeprozesse; Sicherstellung der ordnungsgemässen Dokumentation der Systeme entlang des Release- und Change-Lifecycles; Betreuung und Optimierung einer Schnittstelle zwischen ServiceNow und SolutionManager
Anforderungen: 3+ Jahre IT Berufserfahrung, fundierte Erfahrung im Bereich SAP Solution Manager Solution Documenation & ChaRM; idealerweise IT Projekt- & Betriebserfahrung mit komplexen Systemlandschaften (SAP & Non-SAP) im internationalen Kontext; SAP, SAP Solution Manager, SAP Lösungsdokumentation & ChaRM; Projektmanagementkenntnisse (z. B. Prince2), ITIL+, Präsentationsfähigkeiten; fliessendes Englisch, idealerweise Deutsch

Pensum: 80-100%
Aufgaben: Technische Fachverantwortung und Ansprechperson Webauftritt OST (CMS Typo3); Begleitung von Web-Projekten von der Konzeption, Realisierung, Testen bis zum Go-Live; Applikationsbetreuung CMS Typo3 (Backend-Support und -Weiterentwicklung, Benutzerverwaltung, Google Analytics, Versionsmigrationen); Schulung der Departements- und Instituts-Redakteure im CMS Typo3; Domain Management; Applikationsbetreuung von weiteren Web-Applikationen (Newsletter-Tool, Umfrage-Tool LimeSurvey, Confluence, etc.)
Anforderungen: Informatiker EFZ/HF, und/oder mehrjährige praktische Erfahrung in der Betreuung von CMS und Webauftritten, vorzugsweise in Typo3; Programmierkenntnisse in den Technologien von Typo3 (PHP, HTML/CSS, JavaScript, MySQL); Idealerweise Erfahrung in der Integration bzw. Programmierung von Typo3-Erweiterungen; Fähigkeit zur zielgruppengerechten Kommunikation mit den beteiligten Anspruchsgruppen; Bereitschaft zur laufenden fachlichen Weiterentwicklung; Selbständige Arbeitsweise im Team, Belastbarkeit

Aufgaben: As a Postdoctoral Researcher, you will develop and implement federated analytical workflows tailored for health research. You will apply AI/ML algorithms to analyse a diverse range of data types, including clinical, molecular (-omics), and (sensor/mobile and PROMs/PREMs) within a federated environment. Additionally, you will innovate state-of-the-art federated AI/ML methods, to ensure privacy and data security in clinical research. To augment federated analysis, you will be generating synthetic data using ML techniques, such as Generative Adversarial Networks (GANs). Your workflows and methods will be incorporated by a multidisciplinary team into the CLINNOVA platform for federated data management and analysis. You will take an active role on project activities and effectively disseminating findings to the project members and the scientific community through project meeting, conferences and publications
Anforderungen: A PhD in computer science, information technology, computational biology, bioinformatics, or a related field, with keen interest in health research and related IT infrastructure; Domain knowledge: Good understanding of statistical analysis principles and AI/ML techniques in both centralized and federated environments; Hands-on experience in developing, deploying, and maintaining ML operations (MLOps) within IT infrastructure, including familiarity with virtualization and containerization technologies such as Docker and Kubernetes is considered advantageous

Aufgaben: Responsible for running and developing the data platform of the university for administrative reporting; Manage a team of 4 internal and external data specialists responsible for maintaining and developing the Azure cloud-based data platform; Develop a unified, documented and secure data lake involving all University stakeholders; Responsible for data architecture compliance and development guidelines; Manage the rollout of PowerBI to the user community, ensuring knowledge transfer and security; Manage the development of the data platform as a product: develop a comprehensive project roadmap outlining key milestones, deliverables and timelines for data and reporting initiatives, ensuring alignment with overall business and university objectives; Responsible for defining and delivering projects using agile methodology and University project governance
Anforderungen: Master's degree in a relevant field (e.g. IT, Data Science, Business Intelligence); Strong knowledge of data architecture, data integration and analytical tools; Strong knowledge of Microsoft Azure services and Power BI; Project management and organisational skills with a focus on delivering migration projects on time and within budget; Ability to think strategically and deliver results in a fast-paced environment; Experience in managing relationships with external vendors, including negotiating contracts and ensuring that deliverables are aligned with organisational objectives; Familiarity with best practices for cloud-based data storage, processing and analysis

Aufgaben: Participate in research activities involved in the analysis of multiomics data sets including next-generation sequencing, single cell/nuclear transcriptomics, bulk RNA sequencing, spatial transcriptomics, metabolomics and proteomics datasets; Coordinate data handling and analysis for multi-omics data; Participate as a team member in experimental design and data analysis; Coordinate publications related to the project and scientific results; Work in close collaboration with LCSB members on scientific projects
Anforderungen: Master’s degree or equivalent in bioinformatics, computational biology, medical engineering, computer science, with an interest in biomedical informatics and translational medicine; Demonstrated expertise in R programming with a strong command of bioinformatics workflows, including data manipulation, statistical analysis, and visualization using relevant packages from Bioconductor including (but not limited) to DESeq2, limma, BioMart, Seurat, gViz, and edgeR; Proficiency in developing interactive web applications and data visualizations with R Shiny, Plotly, ggplot2, and Seaborn or similar dataviz libraries; Proficiency in Python

Aufgaben: Contribute to the collection of users’ requirements and design of new features; Write reliable and efficient code; Work closely with other team members aiming for a high level of quality and user satisfaction; Design and develop tests using test automation suits; Become a key actor of continuous improvement and innovation within the group
Anforderungen: A University master’s degree in computer science or in another field but with equivalent proven experience as software developer; An interest in state-of-the-art technologies; Autonomous, dynamic and curious; Knowledge of the following technologies: Python; JavaScript; HTML/CSS; RDBMS; Flask, Django or other MVC framework; git

Pensum: 80-100%
Aufgaben: Perform IT audit, assurance and regulatory mandates for a multinational client portfolio of banking, asset management and insurance clients; Analyze risks and IT processes in a heterogeneous client environment to provide recommendations and improvement points in our clients'processes; Work in close collaboration with international and multidisciplinary account teams; Participate and contribute to the Swiss and international Financial Services KPMG network and build a personal external network in the Swiss Financial Services market; Support and further develop Financial Services audit, regulatory and assurance solutions by continuously seeking and driving improvement and innovation; Work as an independent team member and be a mentor for junior staff
Anforderungen: Degree level education (e.g. business informatics, business administration or likewise); At least 2-3 years of professional experience in the field of IT Audit, business processes and design/review of risk and control procedures; Experience with Financial Services and/or Corporate clients (preferably with Big4 history); Know-how with FS regulatory work would be an asset; Willingness and ability to travel domestically and abroad occasionally; Excellent social and communication skills; Independent working style and positive attitude; Fluent in German or English

Dauer: 6+ y
Aufgaben: Design numerical experiments to test different hypotheses; Supervise doctoral and postdoctoral scholars, as well as research students if the opportunity arises
Anforderungen: Ph.D. in Physics, Meteorology, Atmospheric or Climate Sciences or a related discipline by the start date. Preferably with first postdoctoral experience in atmospheric/climate science; Demonstrated capability to publish top-quality research papers; Excellent analytical and programming skills; Intellectual independence; Willingness and expected ability to guide young scholars; Fluency in written and spoken English