41 phd-in-computer-vision-and-machine-learning Postdoctoral positions at Chalmers University of Technology
Sort by
Refine Your Search
-
possess strong programming skills in Python. Experience in human behavior research, computational behavior modeling, and AI/machine learning methods for time-series analysis is advantageous. Particularly
-
to the application deadline. PhD in computer science, electrical engineering, biomedical engineering, or a related field. Experience in Python programming, natural language processing, and multimodal deep learning
-
groups working towards a common goal. For this postdoc project, we seek a dynamic and motivated candidate with an interest in computational electromagnetism, inverse design, and/or machine learning in
-
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
-
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