39 postdoc-software-engineering PhD positions at Chalmers University of Technology in Sweden
Sort by
Refine Your Search
-
Environment at Chalmers University of Technology, Department of Mechanics and Maritime Sciences . You will be joining an interdisciplinary team with Ida-Maja Hassellöv and external collaborators Amanda Nylund
-
the Swedish National Infrastructure for Computing (SNIC) and the Chalmers Centre for Computational Science and Engineering (C3SE). Learn more about the project and the research: Project overview Due
-
120 credits or a Master’s degree (magisterexamen) of 60 credits in Materials Science, Engineering Physics, or a related field* You will need strong written and verbal communication skills in English
-
Do you want to conduct research focused on occupational traffic safety? If you are curious how everyday driving at work can be made safer, this PhD position at Chalmers University of Technology
-
, semiconductor technology and metrology that are part of the SWEET project. About us The position is hosted by the Microwave Electronics Laboratory at MC2 where the PhD student will have access to several
-
of Technology in Gothenburg conducts research and education in technology and natural sciences at a high international level. The university has 3100 employees and 10,000 students, and offers education in
-
. Research environment Geotechnics research at the Department of Architecture and Civil Engineering focuses on the characterisation and modelling of complex geomaterials, particularly natural clays. Our work
-
The Department of Architecture and Civil Engineering (ACE) at Chalmers University of Technology has approximately 250 employees, encompassing a broad theoretical and practical knowledge base. In ACE, the Division
-
This PhD position at Chalmers University of Technology offers an exciting opportunity to work in an interdisciplinary environment and receive training and support in materials design and synthesis
-
Engineering and Autonomous Systems division . We offer advanced PhD courses where we extend the fundamentals in optimal control, machine learning, probability theory and similar. The research and learning