PhD Scholarship in Machine Learning at Stockholm University, Sweden

Summary

The Department of Computer and Systems Sciences (DSV) at Stockholm University offers a stimulating research environment for a PhD student focusing on Machine Learning. With over 200 employees and 4,500 students, DSV bridges technology with humanities, social sciences, and behavioral sciences, aiming to design information and communication technology that benefits people, organizations, and societies. This PhD project will delve into novel algorithms and theoretical foundations for machine learning, with a strong emphasis on reinforcement learning, bandit methods, and multi-agent systems.

Designation

PhD student in Computer and Systems Sciences, with a focus on Machine Learning

Scholarship Details

Research Area

Machine Learning – Algorithms and Theoretical Foundations

The project focuses on developing novel algorithms and theoretical foundations for machine learning, with particular emphasis on reinforcement learning, bandit methods, and multi-agent systems. Research topics may include:

• Efficient exploration
• Learning under uncertainty
• Online decision-making
• Scalable AI systems
• Applications of modern AI in domains such as healthcare, cyber-physical systems, and foundation models (including large language models)

Depending on the candidate’s interests and background, the project can focus on algorithm design, mathematical analysis, or applications. The project welcomes applicants from machine learning, computer science, mathematics, statistics, engineering, and related fields.

Location

Stockholm University’s campus in Kista, north of central Stockholm, Sweden.

Eligibility/Qualification

General Entry Requirements

Applicants must meet one of the following:

• Completed a second-cycle degree.
• Completed courses equivalent to at least 240 higher education credits, of which 60 credits must be in the second cycle.
• Acquired equivalent knowledge in Sweden or elsewhere.

Specific Entry Requirements

As described in the general syllabus for doctoral studies in Computer and Systems Sciences:

• Completed courses at second-cycle level in Computer and Systems Sciences with a minimum of 60 higher education credits or equivalent.
• Completed a degree project (thesis) of at least 15 higher education credits.
• English language skills equivalent to Common European Framework of Reference for Languages Level B2.

Selection Criteria

The selection will be based on the candidate’s capacity to benefit from the training, assessed by:

• Independence in the analysis and organization of earlier scientific work.
• Problem formulation and rigor in previous scientific work and in the research plan.
• Previously shown ability to keep specified time limits.
• Methodological and scientific maturity.
• Communication and cooperation skills.
• Subject-specific knowledge relevant to the education.

Scholarship Description

This is a full-time, fixed-term employment as a doctoral student for a maximum of four years, dedicated primarily to doctoral education. The employment may include limited work (maximum 20%) with education, research, and administration. The position offers a vibrant academic community, an international network, and opportunities for interdisciplinary collaboration. Strong support for academic development, including funding for books, conference travel, and professional growth, is provided.

How to Apply

Apply for the PhD student position through Stockholm University’s recruitment system. The application should include a personal letter, CV, and other attachments requested in the application form. It is the applicant’s responsibility to ensure the application is complete and submitted before the deadline. It is recommended that the application and associated documents be written in English. For detailed instructions on how to apply, please visit: How to apply for a position.

Last Date for Apply

Apply Link

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