8 phd jobs found

Tasks At Bosch Research, we are pioneering the next generation of Physical AI-intelligent systems that can perceive, reason, and act robustly in the real world. From automated driving to robotics, our goal is to develop AI technologies that are not only highly capable but also safe, efficient, and scalable. Despite remarkable progress in foundation models and end-to-end learning, today's autonomous systems still struggle to generalize reliably to new situations and often require enormous amounts of data and computational resources. For Bosch products, however, AI solutions must deliver strong performance while operating under real-world constraints such as limited compute, energy efficiency, safety, and reliability. In this PhD project, you will explore new approaches for creating the next generation of efficient autonomous decision-making systems. Your research will combine ideas from imitation learning, reinforcement learning, large-scale simulation,...

Institute for Medical Microbiology, Medical Virology and Hygiene, code 7903 Part-time: 65% Limited: 30.11.2029* 1 Start of work: December 1, 2026 Application deadline: October 20, 2026 TV-L idR E13 2 *extension possible Tasks Development and clinical evaluation of machine-learning models for the detection of resistance plasmids directly from routine MALDI-TOF mass spectra Genomic analysis of carbapenemase-producing Enterobacterales and their mobile genetic elements, using short- and long-read whole genome sequencing Establishment and analysis of linked MALDI-TOF and genome datasets as the basis for generalizable predictive models Experimental validation of computational predictions through conjugation, plasmid curing and stability assays, supported by a dedicated technical assistant Contribution to national and international consortia (DZIF TTU-HAI, ESGEM-AMR) and presentation of results at conferences and in peer-reviewed...

Tasks At Bosch Research, we are driving the next generation of physical AI – intelligent systems that can perceive the real world, reason, and act robustly. From automated driving to robotics, our goal is to develop AI technologies that are not only powerful but also safe, efficient, and scalable. Despite remarkable progress in foundation models and end-to-end learning, today's autonomous systems still struggle to reliably generalize to new situations and often require enormous amounts of data and significant computing resources. For Bosch products, however, AI solutions must also deliver strong performance under real-world conditions – such as limited computing power, high energy efficiency, safety, and reliability. In this doctoral project, you will explore novel approaches to developing the next generation of efficient autonomous decision-making systems. Your research combines ideas from imitation learning, reinforcement learning, large-scale simulation,...

Bookmark jobad Share jobad Join the PROMETHEUS consortium, a four-year EIC Pathfinder project developing a next-generation multimodal, explainable and multi-agent AI system for prostate cancer diagnosis and treatment selection (https://cordis.europa.eu/project/id/101306686). The consortium brings together leading European partners with multicentre patient cohorts, including Heidelberg University Hospital, DKFZ, Erasmus MC Rotterdam, Radboudumc Nijmegen, Karolinska Institutet and Umeå University.Within the group of PD Dr. Magdalena Görtz (https://www.dkfz.de/en/multiparametric-methods-for-early-detection-of-prostate-cancer), you will lead the development of an AI agent for treatment selection that combines longitudinal clinical data, imaging, outcome prediction and knowledge-based reasoning. The goal is to move beyond isolated prediction models towards an integrated agentic system that can model patient trajectories, compare treatment strategies and generate...

Who is Sonar? Sonar is driving the future of agent-centric software development. As the leader in AI code verification and governance, we solve a critical problem: ensuring that software generated by AI-assisted developers or autonomous agents is reliable, secure, and maintainable. Integrating seamlessly with Claude Code, Codex, Cursor, GitHub Copilot, Gemini, and Devin, we help over 75% of the Fortune 100 build trusted, reliable, compliant software. Customers who use Sonar are 44% less likely to report an outage due to AI-generated code. We believe code verification is the critical missing link in the Agent-Centric Development Cycle (AC/DC). Industry giants like Nvidia, ServiceNow, Booking.com, Goldman Sachs, AstraZeneca, and Ford Motor Company count on us to provide independent, explainable, consistent review and governance of their AI-generated code via products like: SonarQube: The world's leading AI code review and verification platform. SonarQube...

Company: Oliver Wyman Description: Who we are Oliver Wyman is a global management consulting firm. We work with clients through their most defining moments, combining deep industry knowledge, specialized expertise, and the power of perspective to help them adapt, grow, and thrive. We believe diverse perspectives make the work stronger. Our consultants bring different backgrounds, experiences, and ways of thinking to help solve complex problems and create lasting impact for clients, colleagues, and communities. At Oliver Wyman, we are proud of the values ​​that we aspire to live by. We are committed to creating an inclusive environment where everyone can thrive and reach their full potential. Within Oliver Wyman, the Data & Analytics (DNA) division was established in 2017 and operates globally, with a particular focus on Europe. We are a dynamic and rapidly growing team of quantitative analytics specialists, collaborating closely with colleagues across the...

At HUK-COBURG's Data Analytics Team, we transform data into real added value for over 13 million customers. As Germany's leading motor insurer, we are a long-established and stable company that invests strategically in innovation and its data-driven future. Our agile Data Analytics teams use state-of-the-art machine learning and AI methods to optimize processes, calculate fair prices, manage claims digitally and intelligently, and develop new, innovative insurance products. Become part of our large data community, develop practical machine learning applications together with many other experienced data specialists and thus help shape the data, machine learning and AI-driven transformation at one of Germany's largest insurers. You can look forward to that. Development, implementation and continuous optimization of data-driven models for analyzing customer behavior, customer preferences and customer affinities along the customer journey. Design and...

Faculty of Medicine, Radiology, RACOON Research Infrastructure, Ref. No. 7931 Full-time: 100% Temporary contract: 1 year 1 Start date: as soon as possible Application deadline: October 6, 2026 TV UK i.d.R. E13 2 Tasks Coordination of organizational and scientific processes in close collaboration with the project management Advising project partners on study design, data management and data integration Organization and support of external audits (business trips) Support in the further development and implementation of the technical research infrastructure Contributing to the preparation of scientific publications, project reports and grant applications. Profile Completed university degree in (medical) informatics, bioinformatics, data science, medical physics or a comparable field Experience in database management and with research infrastructures is required (e.g., federated systems, clinical data...