PhD Candidate in Communication and Computing Systems

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Are you ready to take the next step in your academic journey? As a PhD candidate with us, you will work closely with leading researchers in a strong and international research environment, with access to advanced laboratory equipment and excellent 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 computing systems, with a particular focus on algorithms, data structures, and advanced computational models. Communication and computing systems is a rapidly growing and evolving field that forms the foundation for today's and tomorrow's digital society. Developments in artificial intelligence, large-scale data management, and distributed systems place increasing 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, particularly 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, among others, artificial intelligence, machine learning, cyber-physical systems, and data-intensive applications. We therefore see a focus on research and development of new methods for representation, processing, and analysis of complex information as important. These methods range from basic research at the methodology level, such as algorithm development and models for efficient information representation, to applied research in collaboration with other groups. Field Description The field encompasses research related to 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 on an exciting research project whose overarching 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 your work, you will conduct research on algorithms for representation, learning, and reasoning in modern AI systems. This includes developing methods for linking 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. Responsibilities As a PhD candidate, you will have the following tasks: conduct research within the project area and participate in teaching activities. The position involves research within one of the most important subjects in computer science. As a PhD candidate, you will contribute to research and publishing activities and collaborate within the framework of the field's broad industrial and academic contact network through national and international collaborative projects. Qualifications To be eligible for employment as a PhD candidate, a Master's degree in Computer Science with a focus on Machine Learning and Artificial Intelligence or an equivalent foreign degree in the field 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 merit. - Solid mathematics knowledge at university level (probability theory, statistics, calculus, geometry, Fourier transform). 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 PhD candidate is limited to 4 years; teaching and other institutional service may be added up to 20% of full-time. Place of work: Luleå. Start date: By agreement. For more information, please contact Professor Evgeny Osipov, 0920-49 1578, mailto:[email protected] Trade union representative: SACO-S Diana Chroneer, 0920-49 2037 mailto:[email protected] OFR-S Marika Vesterberg, 0920-49 1721 mailto:[email protected] Application We prefer that you apply for the position via the application button below, where you attach a cover letter and CV/list of qualifications and copies of verified certificates. Please mark your application with the reference number below. Both the application and certificates must be written in Swedish or English. Deadline for application: 2026-09-30 Reference number: 3191-2026Are you ready to take the next step in your academic journey? As a PhD candidate with us, you will work closely with leading researchers in a strong and international research environment, with access to advanced laboratory equipment and excellent 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 computing systems, with a particular focus on algorithms,…

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Typ

job

Stav

active

Viditelnost

public

Město

Luleå

Adresa

Luleå tekniska universitet

GPS

65.6152976, 22.0451587kopírovatotevřít v ▾

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Publikováno

18. 5. 2026

Upraveno

24. 7. 2026

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