38 phd-in-computer-vision-and-machine-learning Postdoctoral positions at Chalmers University of Technology in Sweden
Sort by
Refine Your Search
-
well as supervising master's and/or PhD students to a certain extent. Qualifications PhD in material mechanics, computational mechanics, or similar (you must hold a doctoral degree awarded no more than three years
-
. Project overview The project involves applying advanced statistical analysis, machine learning techniques, and modeling approaches such as agent-based modeling to analyze diverse climate and socioeconomic
-
, computer science, or similar topics. Experience with optimization, data-driven or machine-learning skills are meritorious. The candidate must have the PhD degree in hand before enrollment, but it is not required
-
for elderly care. A robot will be available at Chalmers for evaluating the developed concepts. Who we are looking for We welcome applications from candidates with the following qualifications: A PhD in computer
-
Are you passionate about advancing the safety and reliability of learning-enabled systems? Join the Group for Safe and Trustworthy Autonomous Reasoning (STAR) to lead cutting-edge research in
-
research. The group currently includes one professor, one senior scientist, four postdocs, and nine PhD students. Main responsibilities Most of your time will be devoted to your own research, carried out in
-
Researcher (R2) Country Sweden Application Deadline 31 May 2025 - 22:00 (UTC) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU
-
passive and active flow control algorithms, potentially incorporating machine learning/AI, to enhance aerodynamic performance and stall delay with rapid response times. The research is conducted in
-
15 Mar 2025 Job Information Organisation/Company Chalmers University of Technology Research Field Computer science » Other Researcher Profile Recognised Researcher (R2) Country Sweden Application
-
. PhD in a relevant field (e.g., logistics, supply chain management, operations management, engineering, or related disciplines). Experience with case study methodology and the ability to translate