KTH Royal Institute of Technology

Project description

Third-cycle subject: Computer Science with Computational Biology track

The project is funded by Swedish e-Science Research Centre (SeRC, https://e-science.se/) as part of a highly interdisciplinary collaborative initiative called Brain-Information technology (Brain-IT). The main emphasis in the project is on hierarchical brain-like network architectures for holistic pattern discovery drawing from the computational insights into neural information processing in the brain in the context of multi-modal perception, sensory fusion, sequence learning and memory association among others. Within the project's scope it is intended to build scalable implementations and systematically study computational capabilities of the brain-like algorithms, typically in comparison with more classical machine learning approaches. The project will also offer an opportunity to gear the proposed neurocomputing methods to specific real-world applications available within the SeRC community.

The applicant is expected to have background in physics and/or computer science with good understanding of machine learning problems and keen interest in brain science (computational brain/neuroscience). It is required that the applicant is a competent programmer and previous experience with deploying implementations on supercomputers constitutes a valuable asset.

The position is based in the Computational Brain Science unit (https://www.kth.se/cst/research/computational-brain-science-1.779076), School of Electrical Engineering and Computer Science at KTH. Given a wide network of local collaborators in the realm of brain science and neurocomputing outside KTH, the student will strongly interact with researchers at Stockholm University (psychology) and Karolinska Institutet (neuroscience). The appointed student will also become a member of a vibrant interdisciplinary community at SeRC (https://e-science.se/).   

What we offer

  • The possibility to study in a dynamic international research environment in close cooperation with industries and advanced universities the world over.
  • Life-long network through KTH's Alumni organization.
  • A personal study plan to support your development within your areas of interest.
  • A workplace with many employee benefits and monthly salary according to KTH's doctoral student salary agreement.
  • Work and study in Stockholm, one of Europe´s fastest growing capitals, which is close to both nature and the sea.
  • Help to relocate and get settled in Sweden and at KTH.
  • Access to supercomputing facilities and training.
  • A 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.

Eligibility

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 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.

Selection

In order to succeed as an doctoral student at KTH you need to be goal oriented and persevering in your work. In the selection of the applicants, the following will be assessed:

  • ability to independently pursue his or hers work,
  • ability to collaborate with others,
  • have a professional approach and
  • analyse and work with complex issues.
  • background in physics and/or computer science with exposure to machine learning,
  • good programming skills (experience in high-performance computing is a relevant asset),
  • proficiency in English with excellent writing and oral communications skills,
  • experience in publishing scientific work.

Target degree: Doctoral degree

Information regarding admission and employment

Only those who are or have been admitted to third-cycle studies may be employed as a doctoral student. The term of the initial contract may not exceed one year and may thereafter be extended. Doctoral students may engage in teaching, research, and administration corresponding to a maximum of 20 % of a full-time position.

Union representatives

You will find contact information for union representatives on KTH's website.

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

You will find contact information for doctoral section on the section's website.

Application

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/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, about what your academic interests are and how they relate to your previous studies and future goals. (Maximum 2 pages long)
  • Copy of the degree certificate(s) and transcripts of records from your previously attended university-level institutions. Translations into English or Swedish if the original documents are not issued in one of these languages.
  • Representative publications or technical reports. For longer documents, please provide a summary (abstract) and a web link to the full text.

Other information

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

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

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.

Type of employment Temporary position
Contract type Full time
First day of employment February 01, 2019, but it can be negotiated
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-2018-2838
Contact
  • Pawel Herman, paherman@kth.se
  • Maria Engman / HR handläggare, maengm@kth.se
Published 06.Dec.2018
Last application date 19.Dec.2018 11:59 PM CET

Return to job vacancies