Vacant job

Are you ready to take the next step in your academic journey? As a doctoral student with us, you will work closely with leading researchers in a strong and international research environment, with access to advanced laboratory equipment and good funding opportunities. You are offered a secure employment, high-quality supervision, and room to grow, both as a researcher and as an individual.

Luleå University of Technology is in an expansion phase and is implementing an initiative to strengthen research and education in communication and computing systems, with a particular focus on algorithms, data structures, and advanced computational models. Communication and computing systems is a rapidly growing and changing field that forms the foundation of today's and tomorrow's digital society. Developments in artificial intelligence, large-scale data management, and distributed systems are placing increased demands on new ways to represent, process, and interpret 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 within artificial intelligence, machine learning, cyber-physical systems, and data-intensive applications. We therefore see a focus on research and development of new methods for the representation, processing, and analysis of 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.

Subject Description

The subject covers research related to the integrated development and management of reliable network architectures, resource-efficient algorithms, and programming paradigms that work together to create reliability 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 to link learned representations to concepts and relationships, 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 new AI-adapted computer architectures.

Tasks

As a doctoral student, you will have the following tasks: conduct research within the project's area and participate in teaching activities. The position involves research within one of the most significant subjects in computer science. As a doctoral student, you will contribute to research and publication activities and collaborate within the subject's broad industrial and academic network through national and international cooperation projects.

Qualifications

To be eligible for employment as a doctoral student, a master's degree in computer science with a focus on machine learning and artificial intelligence, or a corresponding 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 meritorious.
• Substantial university-level mathematics knowledge (probability theory, 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

Employment as a doctoral student is time-limited for 4 years; teaching and other institutional duties may be added up to 20% of full-time. Workplace: Luleå. Start: By agreement.

For further information, you are welcome to contact

Professor Evgeny Osipov, +46 920-49 1578, [email protected] (mailto:[email protected])

Union Representatives:

SACO-S Diana Chroneer, +46 920-49 2037 [email protected] (mailto:[email protected])

OFR-S Marika Vesterberg, +46 920-49 1721 [email protected] (mailto:[email protected])

Application

We prefer that you apply for the position via the application button below, where you attach a cover letter, CV/resume, and copies of verified degree certificates. Please mark your application with the reference number below. Both the application and degree certificates must be written in Swedish or English.

Last day of application: 2026-09-30

Reference number: 3191-2026