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

The Department of Computer and Systems Sciences. With over 200 employees and 4,500 students, the Department of Computer and Systems Sciences (DSV) is a strong and dynamic research and educational environment. The discipline of computer and systems sciences bridges the gap between technology and the humanities, social sciences, and behavioral sciences, with great relevance to our lives today and in the future. Our research addresses how new information and communication technology should be designed to benefit people, organizations and entire societies.

DSV offers a stimulating research community in an international environment. As a doctoral student at DSV, you study together with many other doctoral students, collaborate with senior research colleagues and get connected to other researchers in Sweden and abroad. DSV’s location is Stockholm University's campus in Kista, north of central Stockholm.

More information about us, please visit: the Department of Computer and Systems Sciences.

Project description

Machine Learning – Algorithms and Theoretical Foundations

Recent advances in AI have highlighted the potential of learning systems that make sequential decisions and adapt to complex, uncertain environments. This PhD 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, and 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 in areas such as healthcare, autonomous systems, and cyber-physical systems. The project welcomes applicants from machine learning, computer science, mathematics, statistics, engineering, and related fields, and may draw on a broad range of methods from machine learning, optimization, probability, statistics, and algorithmic decision-making.

The project is part of a vibrant academic community with a strong international network, offering opportunities for interdisciplinary collaboration, seminars, and scientific exchange within both academia and industry. In addition to a competitive salary and wellness benefits, the candidate is offered strong support for academic development, including funding for books, conference travel, and professional growth opportunities.

Qualification requirements

In order to be admitted to postgraduate education, the applicant must have the general and specific entry requirements. The qualification requirements must be met by the deadline for applications.

You meet general entry requirements if you have completed a second-cycle degree, or completed courses equivalent to at least 240 higher education credits, of which 60 credits must be in the second cycle, or have otherwise acquired equivalent knowledge in Sweden or elsewhere.

Specific entry requirements are described in the general syllabus for doctoral studies in the field of Computer and Systems Sciences and state that the applicant must have completed courses at second-cycle level in Computer and Systems Sciences with a minimum of 60 higher education credits or equivalent. The applicant must also have completed a degree project (thesis) of at least 15 higher education credits. In addition, the applicant is required to have English language skills equivalent of Common European Framework of Reference for Languages Level B2.

Selection

The selection among the eligible candidates will be based on their capacity to benefit from the training. The following criteria will be used to assess this capacity:

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

Admission Regulations for Doctoral Studies at Stockholm University.

About the employment

We offer a fixed-term employment as a doctoral student according to Chapter 5 of the Higher Education Ordinance (1993:100). The period of employment may not be longer than what corresponds to full-time doctoral education for four years. As a doctoral student, you should primarily devote yourself to your own doctoral education, but the employment may include work with education, research and administration to a limited extent (maximum 20 %).

A new employment as a doctoral student is for a maximum of one year, the employment is then renewed for a maximum of two years at a time.

Stockholm University strives to be a workplace free from discrimination and with equal opportunities for all.

Contact

For more information, please contact Associate Professor Sindri Magnússon, sindri.magnusson@dsv.su.se, or Director of PhD studies, Åsa Smedberg, studierektorF@dsv.su.se.

Application

Apply for the PhD student position at Stockholm University's recruitment system. Attach a personal letter and CV as well as the attachments requested in the application form. It is the responsibility of the applicant to ensure that the application is complete in accordance with the instructions in the job advertisement, and that it is submitted before the deadline. We recommend that the application, with associated documents, be written in English.

The instructions for applicants are available at: How to apply for a position.

Stockholm University contributes to the development of sustainable democratic society through knowledge, enlightenment and the pursuit of truth.

Anställningsform: tidsbegränsad anställning | Anställningens omfattning: heltid | Antal lediga befattningar: 1 | Sysselsättningsgrad: 100 % | Ort: Stockholm | Län: Stockholms län | Land: Sweden | Referensnummer: SU FV-2882-26 | Facklig företrädare: ST/OFR ST/OFR 08162000, ST/OFR ST/OFR 08162000, Saco-S Saco-S 08162000, Saco-S Saco-S 08162000, Seko Seko 0770457900, Seko Seko 0770457900, | Publicerat: 2026-09-09 | Sista ansökningsdag: 2026-10-15