Summary
Örebro University is inviting applications for a doctoral student position in Computer Science focused on brain-inspired machine learning. This is an exciting opportunity to contribute to research that aims to develop novel neuro-inspired algorithms and their hardware realizations, enhancing the efficiency and power of intelligent systems.
Doctoral Student in Computer Science, Örebro University, Sweden
Designation
Doctoral Student in Computer Science (Brain-Inspired Machine Learning)
Table
| Detail | Information |
|---|---|
| Research Area | Brain-Inspired Machine Learning, Unconventional Computing, Neuromorphic Computing, Robotics, AI |
| Location | Örebro University, Sweden |
| Eligibility/Qualification | – Master’s in Computer Science or related fields – Strong problem-solving and analysis skills – Fluent in English – Relevant coursework or publications is a merit |
| Job Description | Develop and implement neuro-inspired algorithms and validate them in real-world applications related to efficient computing in various domains |
| How to Apply | Submit an online application including: – Research interests document – CV – Proof of eligibility (degree certificates or transcripts) – Relevant documents |
| Last Date to Apply | June 5, 2026 |
Research Area
The focus is on developing novel algorithms inspired by biological principles to enhance the efficiency of intelligent systems, bridging software and hardware through advanced methodologies in machine learning.
Location
Örebro University, School of Science and Technology, Örebro, Sweden.
Eligibility/Qualification
- General Requirements:
- Second-cycle qualification (Master’s Degree).
- 240 ECTS credits, with at least 60 ECTS in the second-cycle.
- Specific Requirements:
- A degree in a relevant field such as Engineering, Computer Science, or related areas, or equivalent knowledge.
- Skills:
- Strong, independent problem-solving abilities.
- Excellent communication skills in English; knowledge of Swedish is not required.
Job Description
As a doctoral student, you will work within the Machine Perception and Interaction Lab, engaging in interdisciplinary research that intertwines AI, robotics, and machine learning. The role includes developing frameworks that link algorithms to their hardware implementations and evaluating their performance in real-world contexts such as signal processing and combinatorial optimization.
How to Apply
Interested candidates should apply online through the university’s application portal. Ensure to include the following documents:
- A one-page description of research interests.
- Current CV.
- Academic validation documents (degree certificates and transcripts).
- Independent project details (thesis).
- Other relevant documents as necessary.
For complete application procedures, refer to the university’s career page.
Last Date to Apply
Applications must be submitted by June 5, 2026.
We look forward to your applications and are excited about the potential contributions to the field of computer science and brain-inspired research! For additional inquiries, please contact Dr. Denis Kleyko at denis.kleyko@oru.se or Prof. Amy Loutfi at amy.loutfi@oru.se.
