Open PhD Positions at Chalmers DSAI
Our division is currently recruiting for various PhD positions in data science and AI! Click each link below for project details, application requirements, and instructions for submitting an application.
Deadline: February 28, 2023
We are members of the faculty in the Data Science and AI (DSAI) division at Chalmers University of Technology. We are part of the Computer Science and Engineering department, a joint department at Chalmers and the University of Gothenburg. Research in the division has a wide span, from neurosymbolic AI to health informatics. With an increased demand for advanced information systems, computer applications, and autonomous decision making in nearly all areas of society, data science and AI are increasingly becoming necessary tools for tackling important societal challenges.
Our division provides high quality education at the Bachelor’s, Master’s and graduate levels, offering over 120 courses each year. We also have extensive national and international collaborations with academia and industry. At DSAI, our expertise and research interests span the following research areas:
Several research activities in the division are supported by the Chalmers AI Research Initiative (CHAIR) and the Wallenberg AI, Autonomous Systems and Software Programme (WASP).
At DSAI, you will form a part of a vibrant and supportive environment. You can learn more about the research performed at DSAI in the weekly DSAI seminars. The seminars are open to the public, with research talks organized by researchers at the division.
Chalmers aims to actively improve our gender balance. We work broadly with equality projects, such as the Gender Initiative for Excellence (Genie). Equality and diversity are important foundations in all activities at Chalmers. Read more about working at Chalmers and our benefits for employees.
Click our profiles to learn more about the exciting research going on in our teams! You will be redirected to our respective group websites.
You can also browse our colleagues’ profiles to learn more about the exciting research happening in our division (filter by ‘Division: Data Science and AI’).