10 computational-mathematics PhD positions at Chalmers University of Technology in Sweden
-
PhD Position in Theoretical Machine Learning – Understanding Transformers through Information Theory
performance in core mathematics and machine learning courses Master’s degree (or near completion) corresponding to at least 240 higher education credits in mathematics, computer science, electrical engineering
-
We are looking for a highly motivated, skilled, and persistent PhD student with experience in computational fluid dynamics (CFD) and some knowledge in structural analysis. The research aims
-
28 Feb 2025 Job Information Organisation/Company Chalmers University of Technology Research Field Physics » Computational physics Physics » Mathematical physics Physics » Quantum mechanics
-
What does policy and practice for recruitment to university STEM (Science, Technology, Engineering, and Mathematics) education look like, and what are the consequences for equality and social
-
: M.Sc. degree (or equivalent) in Physics, Mathematics, Computer Science, or a related field, corresponding to at least 240 higher education credits. Proficiency in conducting literature reviews. Expertise
-
28 Feb 2025 Job Information Organisation/Company Chalmers University of Technology Research Field Physics » Mathematical physics Physics » Quantum mechanics Physics » Computational physics
-
of algorithms in general and cryptography in particular Master degree in mathematics, computer science, or a related discipline Fluent in spoken and written English Contract terms Full-time temporary employment
-
) Country Sweden Application Deadline 10 Apr 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 programme
-
of about 10 percent of full time. Qualifications The applicant should have a Master's degree in Applied Mathematics, Engineering Physics, Electrical Engineering, or equivalent, with excellent knowledge
-
. The applicant should have strong background in mathematical foundations of computer science and experience in Python programming. Previous experience in deep learning, reinforcement learning, or explainable AI is