59 linked-data-"https:" "https:" "https:" Postdoctoral research jobs at Chalmers University of Technology
Sort by
Refine Your Search
-
internationally visible research, strong industry links and diverse environment create a collaborative setting where ideas grow into real impact. At the division of Data Science and AI , we develop data-driven
-
. Within the Division of Applied Mathematics and Statistics , research spans computational mathematics, optimisation, biomathematics, statistics, and data science, with sustained links to engineering, the
-
28 Feb 2026 Job Information Organisation/Company Chalmers University of Technology Research Field Computer science » Other Engineering » Control engineering Engineering » Systems engineering
-
Research FieldPhysicsYears of Research Experience4 - 10 Research FieldTechnologyYears of Research Experience4 - 10 Additional Information Website for additional job details https://academicpositions.com Work
-
to contribute to the development of high-performance rare-earth-doped lasers and amplifiers on-chip for applications in optical metrology, sensing, data communication, and quantum technologies? If you are
-
Experience4 - 10 Research FieldPhysicsYears of Research Experience4 - 10 Research FieldPhysicsYears of Research Experience4 - 10 Additional Information Website for additional job details https
-
) for complementary information on the catalyst surface chemistry. The ultra-high-vacuum based model catalyst preparation allows us to highlight certain aspects of the catalyst samples (e.g. nanoparticle shape, size
-
6 Feb 2026 Job Information Organisation/Company Chalmers University of Technology Research Field Chemistry » Molecular chemistry Chemistry » Physical chemistry Chemistry » Other Engineering
-
Technology Laboratory (QTL) , we explore how quantum physics can unlock radically new ways of processing information - far beyond the limits of classical systems. Our research spans quantum computing, sensing
-
This project targets the development of advanced grey-box modeling frameworks for multiphase flow systems, combining mechanistic, multi-scale flow models with data-driven inference and uncertainty quantification