Doctoral student in computational neuroscience

Kungliga Tekniska högskolan, School of Electrical Engineering and Computer Science

Project description

The project is partly funded by the KTH strategic framework of Digital Futures and is concerned with computational modelling of cortical cognitive architecture to support goal-directed behaviour and decision making function. A successful candidate is expected to build on the previous work in the group with focus on large-scale spiking neural network models of memory. Within the project's scope it is intended to validate the network model with experimental data.

The applicant is expected to have background in computer science and keen interest in computational and cognitive neuroscience, or a related interdisciplinary field with neurobiological aspects. Previous experience in computational modelling of physical systems is desirable and competence in time series analysis and computational neuroscience constitutes a valuable asset.

The position is based in the Computational Brain Science unit, School of Electrical Engineering and Computer Science at KTH. Our research environment is conducive to synergistic approaches to a wide range of brain research problems with contributions to, e.g., neurorobotics, computational vision, computational brain theory, cognitive science, neuromorphic computing, artificial intelligence and data science.

Third-cycle subject: Computer Science, Computational Biology track

Supervision: Doctoral student supervised by Pawel Herman

What we offer

  • Study in dynamic, international research environment in collaboration with industries and prominent universities from all over the world. Read more
  • Workplace with many employee benefits, monthly salary KTH s Doctoral student salary agreement.
  • Access to supercomputing facilities and training
  • Highly interdisciplinary research environment including a vibrant network of scientists at Stockholm's academic institutions conducting research in machine learning, intelligent systems, high-perfomance computing, neuroscience, psychology etc
  • Help to relocate and be settled in Sweden and at KTH

Eligibility

To be admitted to postgraduate education (Chapter 7, 39 Swedish Higher Education Ordinance), applicant must have basic eligibility in accordance with either of the following:

  • passed a degree at advanced level
  • completed course requirements of at least 240 higher education credits, of which at least 60 higher education credits at advanced level, or
  • in any other way acquired within or outside the country acquired essentially equivalent knowledge
  • Requirements 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/her work
  • collaborate with others
  • have a professional approach
  • analyse and work with complex issues
  • background in physics and/or computer science with exposure to computational neuroscience
  • good programming skills
  • proficiency in English with excellent writing and oral communications skills
  • experience in publishing scientific work

After the qualification requirements, great emphasis will be placed on personal qualities and personal suitability.

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.

Union representatives

Contact information union representatives KTH's website

Application

Apply through KTH's recruitment system. It is applicant s responsibility to ensure that application is complete in accordance with the instructions in advertisement.

Applications must be received at the last closing date midnight CET/CEST (Central European Time/entral 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, 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
  • Representative publications or technical reports. For longer documents, provide a summary (abstract) and a web link to the full text

Other information

Gender equality, diversity, zero tolerance against discrimination and harassment are important aspects of KTH's work with quality and values in our organization.

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

We decline contact with staffing/recruitment agencies, job ad salespersons

Disclaimer: In case of discrepancy between Swedish original and English translation of job announcement, Swedish version takes precedence

Type of employment: Temporary position longer than 6 months
Working hours: Full time
Salary: Monthly salary according to kth's doctoral student salary agreement
City: Stockholm
Reference number: J-2020-1728
Published: 2020-09-10
Last application date: 2020-09-25


Company

Kungliga Tekniska högskolan

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