PhD student in Computer and Systems Sciences, with focus on Machine Learning
Stockholm University’s Department of Computer and Systems Sciences (DSV) is offering a PhD position in Computer and Systems Sciences with a focus on Machine Learning. The position sits within an internationally active research and educational environment at the Stockholm University campus in Kista, north of central Stockholm.
The project,
Machine Learning – Algorithms and Theoretical Foundations
, is centered on developing novel algorithms and theory for modern machine learning. The research emphasis includes reinforcement learning, bandit methods, multi-agent systems, efficient exploration, learning under uncertainty, online decision-making, and scalable AI systems. There is also scope to work on applications of modern AI in healthcare, autonomous systems, cyber-physical systems, and foundation models such as large language models.
The project can be shaped around the selected candidate’s background and interests, with possible directions in algorithm design, mathematical analysis, or applied machine learning. The advertised work welcomes applicants from machine learning, computer science, mathematics, statistics, engineering, and related fields, and draws on methods from optimization, probability, statistics, and algorithmic decision-making.
DSV describes itself as a strong and dynamic research environment with more than 200 employees and 4,500 students. Doctoral students benefit from collaboration with senior researchers, links to other researchers in Sweden and abroad, interdisciplinary seminars, and scientific exchange across academia and industry.
Funding and employment conditions are attractive for a doctoral student post. The appointment is a fixed-term doctoral employment for up to four years full-time, with a competitive salary and wellness benefits. The candidate is also offered support for academic development, including funding for books, conference travel, and professional growth opportunities.
Eligibility is strict and must be met by the application deadline. Applicants need a second-cycle degree or equivalent studies totaling at least 240 higher education credits, including at least 60 second-cycle credits. Specific doctoral entry requirements also include at least 60 higher education credits at second-cycle level in Computer and Systems Sciences or equivalent, plus a degree project of at least 15 higher education credits. English proficiency equivalent to CEFR B2 is required.
The selection process is based on the applicant’s ability to benefit from the training, with attention to independence, scientific rigor, research planning, time management, methodological maturity, communication, cooperation, and relevant subject knowledge.
Applications must be submitted through Stockholm University’s recruitment system. Applicants should attach a personal letter and CV, along with any other requested documents. The university recommends that the application be written in English.
Deadline: 15 October 2026.
