School of Electrical Engineering and Computer Science at KTH

Job description

The ideal candidate will conduct research related to understanding the representations of deep neural networks. The work will involve formal and empirical characterizations of the inner workings of convolutional neural networks. The candidate will be expected to take the technical lead in a research project aimed at publishing at a top machine learning or computer vision conference. As such, the candidate must be a competent programmer and possess good scientific writing skills.

What we offer

  • A position at a leading technical university that generates knowledge and skills for a sustainable future.
  • Engaged and ambitious colleagues along with a creative, international and dynamic working environment
  • Work in Stockholm, in close proximity to nature
  • Help to relocate and get settled in Sweden and at KTH.

Read more about what it is like to work at KTH

Qualifications

Requirements

  • A graduate degree or an advanced level (higher education) in the research subject or equivalent competence. 
  • Additional requirements for the position

Preferred qualifications

Knowledge and skills that are meritorious for the position:

  • Subject-related skills
  • Professional skills
  • Awareness of diversity and equal opportunity issues, with specific focus on gender equality
  • Collaborative abilities
  • Independence

Great emphasis will be placed on personal competency.

Trade union representatives

You will find contact information to trade union representatives at KTH's webbpage.

Application

Log into KTH's recruitment system in order to apply to this position. You are the main responsible to ensure that your application is complete according to the ad. The application should include:

  • CV including relevant professional experience and knowledge.
  • Copy of diplomas and grades from your previous university studies. Translations into English or Swedish if the original documents have not been issued in any of these languages.

Your complete application must be received by KTH no later than the last day of application, midnight CET/CEST (Central European Time/Central European Summer Time).

About the employment

The employment is valid for a limited time according to the agreement - for up to 6 months (or years), with access according to agreement.

Other information

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 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 Special fixed-term employment
Employment expires 2021-12-31
Contract type Full time
First day of employment According to agreement
Salary Monthly salary
Number of positions 1
Full-time equivalent 100%
City Stockholm
County Stockholms län
Country Sweden
Reference number J-2021-1657
Contact
  • Kevin Smith, Universitetslektor, ksmith@kth.se
  • Natasha Kapama, HR, kapama@kth.se
Published 06.Jul.2021
Last application date 06.Aug.2021 11:59 PM CEST

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