Sort by
Refine Your Search
-
established groups in telecommunication, remote sensing, optoelectronics, quantum technology, and high-performance computing. About the division and department With more than 30 faculty members, more than 100
-
The department of Computer Science and Engineering is a fully integrated department with the University of Gothenburg and Chalmers University of Technology as principals. The department offers
-
requirements are mandatory: To qualify as a Doctoral student, you must have a Master's degree (masterexamen) of 120 credits or a Master’s degree (magisterexamen) of 60 credits* in Data Science, Computer Science
-
(masterexamen) of 120 credits or a Master’s degree (magisterexamen) of 60 credits* in Mechanical engineering with focus on production systems or computer science with focus on software integration or data flows
-
, Computer Science, Bioinformatics, Machine Learning or related fields. You need excellent programming skills and an ability to design and implement machine learning-based projects. You need a strong
-
of Technology , you will investigate this question at the intersection of electrochemistry, materials science, and mechanics. Your work will advance the next generation of structural batteries—materials
-
science engineering, and energy research - with cutting-edge industrial research projects. We address a broad spectrum of experimental, computational, methodological, and theoretical challenges, from
-
8 Nov 2025 Job Information Organisation/Company Chalmers University of Technology Research Field Biological sciences Researcher Profile First Stage Researcher (R1) Country Sweden Application
-
15 Nov 2025 Job Information Organisation/Company Chalmers University of Technology Research Field Engineering Researcher Profile First Stage Researcher (R1) Country Sweden Application Deadline 13
-
staff position within a Research Infrastructure? No Offer Description Join our computational mechanics team at Chalmers University of Technology ! As a Doctoral student with us, you will develop numerical