Project descriptionThird-cycle subject: Computer ScienceThis position offers a unique opportunity to leverage the synergy between experimental and computational approaches to fundamental questions about human cognitive capabilities. In particular, the successful applicant will capitalise on the vibrant interdisciplinary environment sustained by a strategic collaboration between the Computational Brain Science lab, School of Electrical Engineering and Computer Science at KTH Royal Institute of Technology and International Research Centre for Neurointelligence, University of Tokyo.The goal of the project is to develop mathematical models of the brain and use them for large-scale simulations of cortical memory function. Special focus is on coupling multiple neural networks to study neural interactions between different cortical regions supporting cognitive function. You are expected to build and simulate neural networks models, interpret the findings and evaluate the model’s compatibility with heterogeneous experimental data. The position also implies the need to write scientific papers in English. Due to the collaborative nature of the project, a doctoral student is expected up to a year at the collaborating group in the International Research Centre for Neurointelligence, University of Tokyo.Supervision: Assistant Professor Pawel HermanWhat we offer
The possibility
. * A workplace and monthly salary according to * A postgraduate education at an institution that is active and supportive in matters pertaining to working conditions, gender equality and diversity as well as study environment.
Work and study in Stockholm, close to nature and the water.
Guidance on
in at KTH and in SwedenAdmission requirementsTo be admitted to postgraduate education (Chapter 7, 39 § Swedish Higher Education Ordinance), the applicant must have basic eligibility in accordance with either of the following:
passed a second cycle degree (for example a master's degree), or
completed course requirements of at least 240 higher education credits, of which at least 60 second-cycle higher education credits, or
acquired, in some other way within or outside the country, substantially equivalent knowledge
The applicant's degree education is expected to be in the field of computer science, engineering physics/math, cognitive science or related areas.In addition to the above, there is also aSelectionIn order to succeed as a doctoral student at KTH you need to be goal oriented and persevering in your work. During the selection process, candidates will be assessed upon their ability to:
independently pursue his or her work
collaborate with others,
have a professional approach and
analyze and work with complex issues.
Interest in brain’s cognitive function is particularly appreciated. Competence in computational biology is desirable, but not mandatoryPrevious experience in neural network based brain models (spiking or non-spiking) is regarded as advantageous.After the qualification requirements, great emphasis will be placed on personal skills.Target degree: Doctoral degreeInformation regarding admission and employmentOnly those admitted to postgraduate education may be employed as a doctoral student. The total length of employment may not be longer than what corresponds to full-time doctoral education in four years' time. An employed doctoral student can, to a limited extent (maximum 20%), perform certain tasks within their role, e.g. training and administration. A new position as a doctoral student is for a maximum of one year, and then the employment may be renewed for a maximum of two years at a time. In the case of studies that are to be completed with a licentiate degree, the total period of employment may not be longer than what corresponds to full-time doctoral education for two years.Union representativesContact information forDoctoral section (Students’ union on KTH Royal Institute of Technology)Contact information for .To apply for the positionApply for the position and admission through KTH's recruitment system. It is the applicant’s responsibility to ensure that the application is complete in accordance with the instructions in the advertisement.Applications must be received at the last closing date at midnight, CET/CEST (Central European Time/Central European Summer Time).Applications must include the following elements:
CV including your relevant professional experience and knowledge.
Application letter with a brief description of why you want to pursue research studies, about what your academic interests are and how they relate to your previous studies and future goals. (Maximum 2 pages long)
Copies of diplomas and grades from previous university studies and certificates of fulfilled
. Translations into English or Swedish if the original document is not issued in one of these languages.Copies of originals must be . * Representative publications or technical reports. For longer documents, please provide a summary (abstract) and a web link to the full text.Other informationStriving towards gender equality, diversity and equal conditions is both a question of quality for KTH and a given part of our values.For in the recruitment process.It may be the case that a position at KTH is classified as a security-sensitive role in accordance with the Protective Security Act (2018:585). If this applies to the specific position, a security clearance will be conducted for the applicant in accordance with the same law with the applicant's consent. In such cases, a prerequisite for employment is that the applicant is approved following the security clearance.We firmly decline all contact with staffing and recruitment agencies and job ad salespersons.Disclaimer: In case of discrepancy between the Swedish original and the English translation of the job announcement, the Swedish version takes precedence.About KTH KTH Royal Institute of Technology in Stockholm has grown to become one of Europe’s leading technical and engineering universities, as well as a key centre of intellectual talent and innovation. We are Sweden’s largest technical research and learning institution and home to students, researchers and faculty from around the world. Our research and education covers a wide area including natural sciences and all branches of engineering, as well as architecture, industrial management, urban planning, history and philosophy. Read more here Anställningsform: tidsbegränsad anställning | Anställningens omfattning: heltid | Antal lediga befattningar: 1 | Sysselsättningsgrad: 100% | Ort: Stockholm | Län: Stockholms län | Land: Sweden | Referensnummer: PA-2025-2653 | Kontakt: Associate Professor Pawel Herman paherman@kth.se, Associate professor Pawel Herman paherman@kth.se, | Publicerat: 2025-09-04 | Sista ansökningsdag: 2025-10-24
