Are you ready to take the next step in your academic journey? As a PhD student with us, you will work closely with leading researchers in a strong and international research environment, with access to advanced lab equipment and good funding opportunities. You are offered a secure employment, high quality supervision and room to grow, both as a researcher and as a person.
Luleå University of Technology is in an expansive phase and is implementing an initiative to strengthen research and education in communication and computational systems, with a particular focus on algorithms, data structures and advanced computational models. Communication and computational systems is a rapidly growing and changing field that forms the basis of today's and tomorrow's digital society. Developments in artificial intelligence, large-scale data management and distributed systems place increased demands on new ways of representing, processing and interpreting information.
To meet these challenges, research and education are required that combine classical computational models with new approaches to computation and representation, especially in high-dimensional and complex data environments. The initiative is directly related to the university's computer science environment and offers good synergy opportunities with research groups in areas such as artificial intelligence, machine learning, cyber-physical systems and data-intensive applications. We therefore see a focus on research and development of new methods for representing, processing and analyzing complex information as important. These methods range from basic research at the methodological level, such as algorithm development and models for efficient information representation, to applied research in collaboration with other groups.
Description of topic
The topic includes research related to the integrated development and management of trustworthy network architectures, resource-efficient algorithms, and programming paradigms that interact to create trustworthiness properties in selected applications.
Project description
You will work in an exciting research project whose overall goal is to develop new algorithms for reasoning and hybrid AI systems. The project focuses on methods that combine data-driven models with symbolic, structured or knowledge-based representations to create AI systems that are more robust, interpretable and adaptable. In the work, you will research algorithms for representation, learning and reasoning in modern AI systems. This includes developing methods for linking learned representations to concepts and relations, integrating context into learning processes, and designing new forms of inductive bias that support generalization and explainability. The project may also include algorithms and models suitable for efficient implementation on resource-constrained platforms, such as edge devices and novel AI-adaptive computing architectures.
Duties
As a PhD student, you will have the following duties, conducting research in the area of the project and participating in teaching activities. The position involves research in one of the most important topics in computer science. As a PhD student, you will contribute to research and publication activities and collaborate within the broad industrial and academic network of the subject through national and international collaborative projects.
Qualifications
To be eligible for employment as a PhD student, a Master's degree in Computer Science with specialization in Machine Learning and Artificial Intelligence or an equivalent foreign degree in the subject is required.
We are looking for a person with the following qualifications:
- Master's level knowledge in machine learning and artificial intelligence.
- Strong programming skills (Python, Matlab, AI frameworks). Participation in programming competitions is definitely a plus.
- Good mathematical skills at university level (probability, statistics, calculus, geometry, Fourier transform). The skills should be supported by above average grades and will be tested online before the interview.
- Positive attitude and good communication skills
Information
The PhD position is fixed-term for 4 years, teaching and other departmental duties may be added up to 20% of full-time. Place of employment Luleå. Access: According to agreement.
For further information, please contact
Professor Evgeny Osipov, 0920-49 1578, mailto:Evgeny.Osipov@ltu.se
Union representative:
SACO-S Diana Chroneer, 0920-49 2037 mailto:diana.chroneer@ltu.se
OFR-S Marika Vesterberg, 0920-49 1721 mailto:marika.vesterberg@ltu.se
Application
We prefer that you apply for the position via the application button below, attaching a cover letter, CV/resume and copies of verified diplomas. Please mark your application with the reference number below. Both the application and the diploma must be written in Swedish or English.
Date for application: 2026-09-30
Reference number: 3191-2026