Doctoral student in machine learning theory Chalmers University of Technology in Sweden

Chalmers University of Technology invites applications for a fully funded doctoral student position in machine learning theory, based in the Division of Data Science and AI at the Department of Computer Science and Engineering. This opportunity is ideal for candidates eager to contribute to the theoretical foundations of artificial intelligence and machine learning, while working in a collaborative, international research environment in Gothenburg, Sweden.

The research project focuses on understanding knowledge transfer in machine learning, particularly how information from large foundation models is adapted to smaller, task-specific models. Techniques such as distillation and fine-tuning are central, but their underlying mechanisms remain insufficiently understood. The project aims to explore how models evolve during training, acquire new skills, and forget unnecessary tasks, using a blend of mathematical exploration and experimentation on real data. Students will gain expertise in high-dimensional statistical learning theory, dynamical systems, and practical machine learning implementation across various application domains.

The department is highly international, with over 300 employees from more than 30 countries, and offers extensive collaborations with academia, industry, and society. The research group provides opportunities for interdisciplinary collaboration and experimentation, fostering a dynamic and inspiring working environment. Chalmers is committed to diversity, equality, and inclusion, with initiatives such as the GENIE project for gender equality and excellence. Swedish language courses are available for non-native speakers, and the university offers generous employee benefits, including parental leave, subsidized day care, free schools, and healthcare.

Applicants must hold a relevant Master's degree (or equivalent 4-year Bachelor's degree for non-Swedish applicants) in fields such as computer science, electrical engineering, mathematics, or physics. Strong English communication skills and foundational knowledge in machine learning and AI are required. Preferred qualifications include advanced mathematical skills (high-dimensional statistics, probability theory, optimization, dynamical systems, statistical mechanics) and familiarity with state-of-the-art machine learning practices, especially knowledge transfer methods. Physical presence in Gothenburg and a valid residence permit by the start date are mandatory.

The position is fully funded, with a starting salary of 34,550 SEK per month (as of May 25, 2025), full social benefits, and employee status. The appointment is for four years, with the possibility to teach up to 20% and extend to five years. Doctoral students will take advanced courses, develop scientific concepts, communicate research results, and participate in teaching and other departmental duties. Research activities include literature study, research meetings, paper writing, and conference presentations.

To apply, submit your application in English as PDF files (CV, personal letter, motivation, thesis, transcripts) via the online application form. Incomplete or emailed applications will not be considered. References will be requested after the interview. The application deadline is February 26, 2026. For questions, contact Associate Professor Ashkan Panahi at [email protected].

Chalmers University of Technology is renowned for its research and education in technology and natural sciences, with a strong commitment to scientific excellence, sustainability, and innovation. Join us in advancing the theoretical and practical frontiers of machine learning!