Doctoral student in Explainable Machine Learning for Neuromorphic Computing

Örebro University; Örebro kommun; On-site; SEK 328,025 - 392,910; Full time

Job summary

Örebro University invites applications for a doctoral student position in the Doctoral Programme in Computer Science. The project focuses on explainable machine learning for neuromorphic computing and predictive materials discovery, within a 5-year WASP-WISE collaboration.

The student will join the WASP graduate school and partake in a broad interdisciplinary research network, with initial salary around SEK 32,300 per month.

Qualifications

• General entry requirements for doctoral studies in computer science.
• Fluent English is essential for study and collaboration.
• Strong analytical and problem-solving abilities.

Responsibilities

• Pursue an independent research project within a doctoral programme in computer science.
• Take part in courses and the graduate school activities.
• Prepare a doctoral thesis and contribute to the WASP programme.

Skills

Fluent English

Independent problem solving

Interpersonal skills

Education

Master's degree in Engineering or related field

Job description

Örebro University and the School of Science and Technology are looking for a doctoral student for the doctoral programme in Computer Science, concluding with a doctoral degree.Start date: Fall 2026.

Project description

The focus of the doctoral project is explainable machine learning for neuromorphic computing for predictive materials discovery. The doctoral student will be part of a larger project Brain-inspired AI Design of Topological Magnets for Sustainable Computing. The five-year project is a WASP-WISE-funded collaboration with research groups at Uppsala University and KTH for designing sustainable magnetic materials.

The doctoral student will also be part of the Wallenberg AI, Autonomous Systems and Software Programme (WASP) and graduate school. WASP is Sweden’s largest individual research programme ever, a major national initiative for strategically motivated basic research, education and faculty recruitment. The programme addresses research on artificial intelligence and autonomous systems acting in collaboration with humans, adapting to their environment through sensors, information and knowledge, and forming intelligent systems-of-systems.

The vision of WASP is excellent research and competence in artificial intelligence, autonomous systems and software for the benefit of Swedish society and industry.

Read more: https://wasp-sweden.org/

The graduate school within WASP is dedicated to provide the skills needed to analyze, develop, and contribute to the interdisciplinary area of artificial intelligence, autonomous systems and software. Through an ambitious programme with research visits, partner universities, and visiting lecturers, the graduate school actively supports forming a strong multi-disciplinary and international professional network between doctoral students, researchers, and industry.

Read more: https://wasp-sweden.org/graduate-school/

The programme and the doctoral studentship

The doctoral programme consists of courses and an independent research project that you will present in a doctoral thesis. The programme concludes with a doctoral degree and comprises 240 credits, which corresponds to four years of full-time study.

Our ambition is for your doctoral studies to be stimulating and purposeful throughout the programme until you have obtained your doctoral degree. A thorough introduction will therefore get you off to a good start and provide a solid foundation on which you can build your studies. As a doctoral student at Örebro University, you will be offered a specially tailored seminar series, covering matters ranging from doctoral programme rules and careers to support during the study period and networking.

The place on the programme is linked to a full-time doctoral studentship for the duration of the study programme, which corresponds to four years of full-time study. More information on doctoral studentships, part-time studies and part-time doctoral studentships can be found in the Regulations Handbook. The initial salary for a doctoral studentship is SEK 32,300 a month.

Entry requirements and selection

For admission to doctoral studies, applicants are required to meet both general entry requirements and specific entry requirements. In addition, applicants must be considered in other respects to have the ability required to benefit from the programme. For a full account of the entry requirements, refer to the admissions regulations as well as to annex 2 to the general syllabus for computer science.

Applicants meet the general entry requirements if they

1. have been awarded a second-cycle qualification,
2. have satisfied the requirements for courses comprising at least 240 credits, of which at least 60 credits were awarded in the second-cycle, or
3. have acquired substantially equivalent knowledge in some other way in Sweden or abroad.

Applicants meet the specific entry requirements for doctoral studies in computer science if they have been awarded a Degree of Master of Science in Engineering or a one-year Master’s degree from a programme within the subject field or related subjects, or if he or she has received a passing grade of at least 120 credits, including an independent project of at least 15 credits, in a main field of study of relevance to the computer science field. At least 30 credits of the 120 credits must have been awarded in the second cycle. A person who has acquired substantially corresponding knowledge, in Sweden or abroad, also meets the specific entry requirements.

The successful candidate should show strong and independent problem solving and critical analytical abilities. Furthermore, the candidate should have good interpersonal and cooperative skills. Fluent spoken and written command of English is essential, while knowledge of Swedish is not necessary. Having courses, a thesis or publications in digital image processing, computer vision, machine learning, neuromorphic computing, or artificial intelligence is a merit. Knowledge of or experience with these techniques applied within scientific applications is a benefit but not mandatory.

Information

For more information about the programme and the doctoral studentship, contact Dr. Stephanie Lowry, email: [e-mail], or Dr. Denis Kleyko, email: [e-mail]. For administration issues, contact Head of unit Martin Magnusson, email: [e-mail].

At Örebro University, we expect each member of staff to be open to development and change; take responsibility for their work and performance; demonstrate a keen interest in collaboration and contribute to development; as well as to show respect for others by adopting a constructive and professional approach.

Örebro University actively pursues equal opportunities and gender equality as well as a work environment characterized by openness, trust and respect. We value the qualities that diversity adds to our operations.

Fields

Fields: Condensed Matter Physics, Materials Physics, Artificial Intelligence, Artificial Neural Network, Computer Architecture, and 1 more, Machine Learning