Chalmers University of Technology invites applications for a fully funded doctoral student position in Kernel-based multi-task learning within the Division of Systems and Control at the Department of Electrical Engineering. The research focuses on advancing theory and practice in multi-task learning, particularly in scenarios where system identification is challenging due to complexity and limited data, such as in biomedical systems. The project leverages kernel-based methods for principled task-relatedness representation, uncertainty bounds, and rigorous learning rate analysis.

As a doctoral student, you will join a dynamic group specializing in data-driven control methodologies, contributing to innovative research in learning and control. The department is renowned for its work in communications, antennas, optical networks, signal processing, biomedical engineering, and electric power engineering, addressing societal challenges like energy efficiency and electrification. You will be part of the Automatic Control unit, focusing on cutting-edge research with real-world impact.

The position offers a starting salary of 34,550 SEK per month (valid from May 25, 2025) and is fully funded for four years, with the possibility to extend up to five years through teaching duties (up to 20% of working hours). Doctoral students are employees at Chalmers, enjoying comprehensive benefits and access to equality initiatives such as the GENIE project. As a WASP student, you will participate in a graduate school network across leading Swedish universities, with specialized courses in AI, extra training, study visits, and conferences to broaden your skills.

Eligibility requires a Master's degree (masterexamen) of 120 credits or a Master's degree (magisterexamen) of 60 credits in Engineering or Applied Mathematics, preferably with a major in automatic control or similar. For applicants educated outside Sweden, a 4-year Bachelor's degree is accepted. Experience in system identification and machine learning is advantageous. Physical presence is required throughout the study period, and a valid residence permit must be presented by the start date.

To apply, submit your application in English as PDF files (max 40 MB each), including CV, personal letter, motivation, thesis, and transcripts. Applications must be complete and submitted via the online application form; incomplete applications and those sent by email will not be considered. Reference contacts will be requested after the interview. The application deadline is April 15, 2026.

For further information, contact Assistant Professor Anna Scampicchio at [email protected]. Chalmers University of Technology, located in Gothenburg, Sweden, is a leading institution in technology and natural sciences, fostering innovation and sustainability through global commitment and collaboration.