Post Doc in Machine Learning over Wireless Networks

Royal Institute of Technology


Post Doc in Machine Learning over Wireless Networks

Kungliga Tekniska högskolan

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.

Job description

We are currently looking for one Research Associate (Post Doc). Our research projects will support these Research Associates within the areas of Machine Learning over wireless networks.

What we offer

  • International workplace.
  • A leading technical university that creates knowledge and expertise for a sustainable future.
  • Here you get colleagues with high ambitions in an open, curious and dynamic environment.
  • Help to relocate and be settled in Sweden and at KTH
  • As a postdoctoral researcher at KTH you have many opportunities to participate at conferences, projects, industrial collaborations, and other relevant events that will extend your professional network and benefit your future career.



  • A doctoral degree or an equivalent foreign degree, obtained within the last three years prior to the application deadline. Candidates should have a PhD (or be near completion) in Electrical Engineering, Computer Sciences, Mathematics or related field.
  • The successful applicants should have an outstanding research documented by top-technical journal publications.
  • We are looking for strongly motivated candidates, who are able to work independently and cooperate with PhD students.
  • Well-developed analytical and problem solving skills are a requirement.
  • Good command of English orally and in writing is required to present and publish research results.
  • The successful candidates may be involved for about 20% of their employment time in management of research projects. The availability to be involved in PhD course teaching for about 5% of the employment time is a plus.

Great emphasis will be placed on personal competence and suitability.

Preferred qualifications

  • Research expertise
  • Educational ability
  • Awareness of diversity and equal treatment issues with a particular focus on gender equality
  • Teamwork
  • Independence

Trade union representatives

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


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.

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

Temporary employment for up to 2 years, or by agreement.

About the employment

The position offered is for, at the most, two years.

A position as a postdoctoral fellow is a time-limited qualified appointment focusing mainly on research, intended as a first career step after a dissertation.


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 longer than 6 months
Contract type Full time
First day of employment According to agreement
Salary Monthly salary
Number of positions 1
Working hours 100%
City Stockholm
County Stockholms län
Country Sweden
Reference number J-2020-1458
Carlo Fischione, +46 8 790 74 24
Published 02.Jul.2020
Last application date 14.Aug.2020 11:59 PM CET

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