Post Doc in Distributed Machine Learning and AI

Royal Institute of Technology School of Electrical Engineering and Computer Science

Postdoc Position in Distributed Machine Learning and AI

School of Electrical Engineering and Computer Science at KTH

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

As a postdoc your primary goal is to progress toward becoming a fully independent researcher, both through own independent work and in collaboration with other researchers at the department. This position is tied to a joint project with AI Sweden ( and will also involve active collaboration with one or more senior researchers working at AI Sweden.

The position is affiliated with the Division of Information Science and Engineering, at the School of EECS.

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
  • Works in Stockholm, in close proximity to nature
  • Help to relocate and be settled in Sweden and at KTH

Read more about what it is like to work at KTH


A doctoral degree or an equivalent foreign degree, in Electrical Engineering, Computer Science or Applied Mathematics, obtained within the last three years prior to the application deadline (with some exceptions for special reasons such as periods of sick or parental leave, kindly indicate if such reason exists in your resume). The candidate must have a strong background in the theoretical aspects of AI and machine learning.

The successful applicant should have outstanding academic record and potential. Well-developed analytical and problem-solving skills are a requirement. We are looking for a strongly motivated person, who can work independently but also collaborates well with others. Good command of English orally and in writing is required to present and publish research results. Awareness of diversity and equal opportunity issues, with specific focus on gender equality is meriting.

Great emphasis will be placed on personal competency.

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).

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.


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 Temporary position longer than 6 months
Contract type Full time
First day of employment Oktober 2021
Salary Monthly salary
Number of positions 1
Working hours 100%
City Stockholm
County Stockholms län
Country Sweden
Reference number J-2021-1825
Mikael Skoglund, Professor,
Anna Mård, HR-handläggare,
Published 23.Aug.2021
Last application date 17.Sep.2021 11:59 PM CEST