KTH Royal Institute of Technology
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Postdoc in Computational Neuroscience and Brain-like AI at KTH Royal Institute of Technology KTH Royal Institute of Technology in Sweden
Degree Level
Postdoc
Field of study
Computer Science
Funding
Temporary full-time postdoctoral employment for up to three years. Salary is monthly; no stipend or tuition funding is mentioned.
Deadline
Oct 18, 2026
Country
Sweden
University
KTH Royal Institute of Technology
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About this position
Postdoc in Computational Neuroscience and Brain-like AI at KTH Royal Institute of Technology in Stockholm, Sweden.
The project focuses on developing brain-plausible neural network models of cognitive and perceptual capabilities. The postdoctoral researcher will build and study cortex-inspired feed-forward and recurrent networks for semi-supervised and unsupervised pattern recognition, as well as decision-making tasks.
Research activities include literature review, neural network design and simulation, result analysis and interpretation, benchmarking brain-inspired architectures against conventional machine learning methods, participation in academic discussions with supervisors at KTH, and scientific writing.
Field keywords: computational neuroscience, neuroscience, machine learning, neural networks, brain-inspired AI, pattern recognition, decision making, supercomputing, Python, C++, MPI, GPU programming.
Eligibility highlights: a doctoral degree or equivalent foreign degree is required; applicants should have strong Python and C++ programming skills, scalable coding experience for supercomputers, and foundational knowledge in computational neuroscience and machine learning. Experience publishing academic work and strong English communication skills are required. Preferred experience includes spiking and non-spiking neural networks, local learning rules, MPI/GPU programming, and large-scale simulations.
Employment and funding: temporary full-time postdoctoral appointment for up to three years, with monthly salary. No scholarship is mentioned.
How to apply: submit the application in KTH's recruitment system with a CV, diplomas and grade transcripts, and a brief research motivation statement (max two pages). Deadline: 2026-10-18.
Funding details
Temporary full-time postdoctoral employment for up to three years. Salary is monthly; no stipend or tuition funding is mentioned.
What's required
A doctoral degree or equivalent foreign degree is required by the employment decision date. Applicants should have strong programming skills in Python and C++, the ability to develop scalable code for supercomputers, and fundamental knowledge of computational neuroscience, machine learning, and neural networks. Experience publishing academic work and strong English language skills are required. Preferred qualifications include a doctoral degree obtained within the last three years, experience with spiking and non-spiking neural networks using local learning rules, MPI and GPU programming, large-scale computational simulations, collaborative skills, independence in research, and pedagogical experience. Awareness of diversity and equal opportunity issues, especially gender equality, is also required.
How to apply
Apply through KTH's recruitment system. Prepare a CV, copies of diplomas and grades, and a brief research motivation statement of up to two pages. Submit the complete application by the deadline.
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