Denis Kleyko
5 months ago
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PhD in Computer Science on Brain-inspired Machine Learning and Neuromorphic Technologies at Örebro University Örebro University in Sweden
Degree Level
PhD
Field of study
Computer Science
Funding
Full-time doctoral studentship linked to the PhD programme for four years of full-time study (240 ECTS). The position is a tailored employment for doctoral students and guarantees employment for the duration of the programme, subject to satisfactory progress. Initial salary is SEK 32,300 per month.
Deadline
Expired
Country
Sweden
University
Örebro university
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About this position
Örebro University is advertising a PhD position in Computer Science with a focus on brain-inspired machine learning, neuromorphic technologies, and the hardware realization of novel algorithms for intelligent systems.
The position is hosted by the Machine Perception and Interaction Lab at Örebro University. The project sits at the intersection of artificial intelligence, machine learning, computational neuroscience, neuro-inspired computing, robotics, and emerging computing hardware such as neuromorphic chips and in-memory computing devices.
The research aims to develop new neuro-inspired algorithms and connect them to physical implementations, with applications in areas such as signal processing and combinatorial optimization. The ad highlights high-dimensional neural representations, continual learning, reasoning, and efficient intelligent systems that use far less power than conventional large-scale computing approaches.
This is a full-time doctoral studentship leading to a doctoral degree. The programme is 240 ECTS credits and corresponds to four years of full-time study. The initial salary is SEK 32,300 per month. When you apply for admission, you automatically also apply for the doctoral studentship.
Eligibility: applicants should have a background in computer science, engineering, or a related field. Required qualifications include a second-cycle degree or equivalent, and specific doctoral entry requirements in computer science. Strong problem-solving, critical analysis, teamwork, communication skills, and fluent English are expected. Experience in AI/ML, neuromorphic computing, neuroscience, digital signal processing, robotics, computer vision, electrical engineering, or cognitive science is considered a merit. Swedish is not required.
Deadline: 2026-06-05. The application is submitted online through the official Örebro University career page. Required documents include a research interests statement, CV, proof of eligibility, degree project, and supporting certificates.
Contacts: Dr. Denis Kleyko and Prof. Amy Loutfi are listed for programme questions, and Prof. Martin Magnusson for administrative issues.
Funding details
Full-time doctoral studentship linked to the PhD programme for four years of full-time study (240 ECTS). The position is a tailored employment for doctoral students and guarantees employment for the duration of the programme, subject to satisfactory progress. Initial salary is SEK 32,300 per month.
What's required
Applicants must meet the general entry requirements for doctoral studies: a second-cycle qualification, at least 240 ECTS credits with at least 60 ECTS at second-cycle level, or equivalent knowledge. Specific entry requirements include a Master of Science in Engineering or a one-year master's degree in a relevant or related subject, or at least 120 credits including an independent second-cycle project in a relevant main field. The successful candidate should have strong independent problem-solving and critical analysis skills, good cooperation and communication skills, and fluent spoken and written English. Swedish is not required. Background in computer science, engineering, or a related field is expected, and experience in AI/ML, neuromorphic computing, neuroscience, digital signal processing, robotics, computer vision, electrical engineering, cognitive science, or publications/thesis work in these areas is a merit.
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