90 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Univ" "Univ" uni jobs at Chalmers University of Technology in Sweden
Sort by
Refine Your Search
-
parental leave or military service. You have demonstrated independent, high-quality research and show strong potential to build an internationally competitive research program. We also expect you to have
-
parental leave or military service. You have demonstrated independent, high-quality research and show strong potential to build an internationally competitive research program. We also expect you to have
-
focus on technology foresight developing data-driven approaches for probabilistic modelling of new technologies; a second will focus on policy analysis leveraging machine-learning approaches
-
years, with the possibility to teach up to 20%, which extends the position up to five years. A starting salary of 34,550 SEK per month (valid from May 25, 2025). Doctoral studies require physical presence
-
same motto today: Avancez – forward. Where to apply Website https://academicpositions.com/ad/chalmers-university-of-technology/2026/assista… Requirements Research FieldComputer scienceYears of Research
-
1829 and still has the same motto today: Avancez – forward. Where to apply Website https://academicpositions.com/ad/chalmers-university-of-technology/2026/assista… Requirements Research
-
1829 and still has the same motto today: Avancez – forward. Where to apply Website https://academicpositions.com/ad/chalmers-university-of-technology/2026/assista… Requirements Research
-
foster an innovative spirit, in close collaboration with wider society. Chalmers was founded in 1829 and still has the same motto today: Avancez – forward. Where to apply Website https
-
slowdown at the glass transition, remains a major computational challenge. This Doctoral student project addresses this by combining generative AI models and machine-learned interatomic potentials
-
of new technologies; a second will focus on policy analysis leveraging machine-learning approaches to investigate the effectiveness of different policies and policy mixes in accelerating technology change