School of Electrical Engineering and Computer Science at KTH

Project description

This 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 Division of Psychology at the Department of Clinical Neuroscience, Karolinska Institutet and Computational Brain Science lab, School of Electrical Engineering and Computer Science at KTH Royal Institute of Technology.

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 neural networks models, analyse simulation data, interpret the results and evaluation of the model’s compatibility with heterogeneous experimental data. 

Third-cycle subject: Computer Science with specialisation in Computational Biology

Supervision: Associate Prof. Pawel Herman

What we offer

Admission requirements

To 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 a mandatory requirement for English equivalent to English B/6, read more here

Selection

In 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
  • analyse and work with complex issues.

Previous experience in neural network based brain models (spiking or non-spiking) is regarded as advantageous qualification.
An interest in brain’s cognitive function is particularly appreciated.
Competence in computational biology or scientific programming is desirable, but not mandatory.

The candidate must be able to write scientific papers in English since the position implies the need to write scientific papers in English. 

After the qualification requirements, great emphasis will be placed on personal competency. 

Target degree: Doctoral degree

Information regarding admission and employment

Only 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 representatives

KTH's website.

Doctoral section (Students’ union on KTH Royal Institute of Technology)

Section's website.

To apply for the position

Apply 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:

  • 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 language requirements (see above). Translations into English or Swedish if the original document is not issued in one of these languages. Copies of originals must be certified.
  • Representative publications or technical reports. For longer documents, please provide a summary (abstract) and a web link to the full text.

Other information

The position may include security-sensitive activities. To become authorized, you therefore need to pass a security check.

Striving towards gender equality, diversity and equal conditions is both a question of quality for KTH and a given part of our values.

For information about processing of personal data in the recruitment process read here.

We firmly decline all contact with staffing, 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.

 

 

Type of employment Temporary position
Contract type Full time
First day of employment According to agreement
Salary Monthly salary according to KTH's doctoral student salary agreement
Number of positions 1
Full-time equivalent 100%
City Stockholm
County Stockholms län
Country Sweden
Reference number J-2023-3240
Contact
  • Associate Prof. Pawel Herman, paherman@kth.se
  • Patrick Sjöstedt (HR), rekrytering@eecs.kth.se
Published 07.Dec.2023
Last application date 05.Feb.2024 11:59 PM CET

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