Örebro University is offering an exciting opportunity for a doctoral student to join the School of Science and Technology. This position focuses on the intersection of explainable machine learning and neuromorphic computing for predictive materials discovery.
PhD Opportunity: Explainable Machine Learning for Neuromorphic Computing at Örebro University, Sweden
Summary
The selected doctoral student will contribute to a five-year, WASP-WISE-funded research project titled “Brain-inspired AI Design of Topological Magnets for Sustainable Computing.” This is a collaborative effort involving research groups at Örebro University, Uppsala University, and KTH. The candidate will also join the Wallenberg AI, Autonomous Systems and Software Programme (WASP) graduate school, providing access to a strong international professional network.
Position Overview
| Detail | Information |
| Designation | Doctoral Student |
| Research Area | Explainable Machine Learning, Neuromorphic Computing |
| Location | Örebro, Sweden |
| Programme Length | 4 Years (Full-time) |
| Initial Salary | SEK 32,300 / month |
Research Area
Developing explainable machine learning frameworks to advance neuromorphic computing for sustainable materials discovery.
Eligibility & Qualifications
Applicants must satisfy both general and specific entry requirements:
- General Requirements: A second-cycle qualification (Master’s degree), at least 240 credits (with 60 in the second cycle), or equivalent knowledge acquired in Sweden or abroad.
- Specific Requirements: A Degree of Master of Science in Engineering or a one-year Master’s degree in a relevant subject field. Alternatively, a passing grade of at least 120 credits (including a 15-credit independent project) in a relevant field, with 30 of those credits at the second cycle.
- Skills: Strong problem-solving/analytical abilities and excellent interpersonal/cooperative skills.
- Language: Fluent spoken and written English.
- Merits: Experience or coursework in digital image processing, computer vision, machine learning, or neuromorphic computing is considered a significant advantage.
Job Description
As a doctoral student, you will undertake an independent research project culminating in a doctoral thesis (240 credits). You will be fully supported by a tailored seminar series and a professional network through the WASP graduate school. The core research involves designing sustainable magnetic materials using neuromorphic computing and explainable AI techniques.
How to Apply
Applications must be submitted online and must include the following electronic documents:
- CV.
- Proof of meeting entry requirements (original certificates/official transcripts for Bachelor’s and Master’s).
- Independent project (degree project).
- Relevant degree/course certificates.
- A 1-2 page description of research interests, including motivation for the project and fit for the role.
Note: All documents must be in English, Swedish, Danish, or Norwegian, or translated by an authorized translator.
Application Deadline
The deadline for applications is August 21, 2026.
