Doctoral student in brain-like machine intelligence and artificial cognition KTH Royal Institute of Technology in Sweden

This doctoral position at KTH Royal Institute of Technology offers an exciting opportunity to advance cognitive brain theories and develop computational neural network models for brain-inspired artificial intelligence. The project is situated within the third-cycle subject of Computer Science, specialising in Computational Biology, and leverages strategic collaborations with Karolinska Institute and Stockholm University. The research aims to simulate large-scale neural network models of the brain’s cognitive functions, focusing on the cortical memory system and neural interactions between different cortical regions. Candidates will build brain-plausible network-of-networks models, exploring both spiking and non-spiking computations, and propose novel architectural blueprints for AI agents. Evaluation of these models will involve multi-modal data and constraints, requiring interdisciplinary efforts across cognitive science, computational neuroscience, machine learning (including deep generative modelling), and dynamical systems.

The position is supervised by Dr. Pawel Herman and is designed for candidates with backgrounds in computer science, engineering physics/math, cognitive science, or related fields. Applicants must meet the Swedish Higher Education Ordinance requirements for postgraduate education, including a second cycle degree or equivalent, and demonstrate English proficiency equivalent to English B/6. Selection criteria emphasize personal skills such as goal orientation, perseverance, independence, collaboration, professionalism, and analytical ability. Interest in cognitive brain function, computational brain theories, and cortical computations is highly valued. Experience in scientific programming, numerical simulations, GPU programming, and large-scale neural network-based brain models is desirable but not mandatory.

Employment is full-time for up to four years, with renewal possible after the first year and then for up to two years at a time. Doctoral students at KTH benefit from a creative and dynamic environment, attractive working conditions, and a monthly salary according to the doctoral student salary agreement. The position also includes employee benefits and opportunities for professional development. Applications must be submitted through KTH’s recruitment system and include diplomas, grades, certificates of language requirements, CV, application letter, and representative publications or technical reports. Certified translations are required if documents are not in English or Swedish. The application deadline is July 10, 2026.

KTH is committed to equality, diversity, and equal opportunities, which are integral to its core values. The university plays a leading role in education, research, and innovation, contributing to a sustainable society. For further information, contact Dr. Pawel Herman at [email protected]. Apply now to join a vibrant research community and contribute to the future of brain-like machine intelligence and artificial cognition.