KTH Royal Institute of Technology, School of Electrical Engineering and Computer Science

Job description

We are looking for 2 driven postdocs to join our research group at the Division of Decision and Control Systems at KTH. Our group conducts fundamental research at the intersection of machine learning, optimization, and decision-making, with applications in next-generation networked systems.

As a postdoc, you will have the unique opportunity to define your research agenda within our broad scope. The position offers flexibility to focus on one of two main tracks, depending on your background and interests:

Fundamental Algorithms & Theory: Developing rigorous mathematical frameworks for distributed optimization, learning, and decision-making under uncertainty. This track offers a high degree of freedom to explore new theoretical directions.

Distributed Intelligence for 6G: Designing the algorithmic foundations for 6G wireless networks. You will work on distributed learning (e.g., federated learning) over wireless edges, focusing on the interplay between communication, computation, and control.

You will join a dynamic team with strong funding (e.g., WASP, KAW, VR) and an extensive international network. We aim for publications in top-tier venues such as NeurIPS, ICML, AISTATS, IEEE Transactions, and top control/signal processing conferences. Ideally, this position will serve as a stepping stone for a future tenure-track career.

You will be supervised by Professor Mikael Johansson and collaborate closely with PhD students and senior researchers. The position can include a limited amount of teaching or supervision (no more than 20%), giving you ample time to focus on your research portfolio.

Qualifications

Requirements

  • A doctoral degree or an equivalent foreign degree in electrical engineering, computer science or applied mathematics. This eligibility requirement must be met no later than the time the employment decision is made.
  • A strong mathematical background in optimization, linear algebra, and probability.
  • Documented research expertise in machine learning, control theory, or applied mathematics, demonstrated by publications in high-quality international venues.
  • Excellent written and oral communication skills in English, for day-to-day work.
  • Personal skills: We are looking for a candidate with a strong drive and scientific curiosity. You should be capable of working independently to drive your own research processes while also possessing the collaborative abilities required to work in a team and co-supervise younger researchers. 

Preferred qualifications

  • A doctoral degree or an equivalent foreign degree, obtained within the last three years prior to the application deadline
  • Experience with distributed optimization, decentralized and federated learning
  • Prior knowledge of wireless communications is not a strict requirement for candidates focusing on the theoretical track, provided they have a strong methodological background.
  • Proven ability to publish in top-tier conferences (e.g., NeurIPS, ICML, AAAI) or leading IEEE journals. Programming skills (e.g., Python, C/C++, Matlab) relevant for validating research results. 
  • Awareness of diversity and equal opportunity issues, with specific focus on gender equality. 

Great emphasis will be placed on personal skills.

Join us at KTH

KTH shapes the future through education, research and innovation. As a leading international technical university, we play an active role in advancing the transition towards a sustainable society. At KTH, you have the opportunity to grow and develop in a creative and dynamic environment, with good working conditions and attractive benefits. Equality, diversity and equal opportunities are essential to quality and form an integral part of KTH’s core values as a university and public authority.

Learn more about our benefits and what it's like to work and grow at KTH.

Trade union representatives

Contact information to trade union representatives.

To apply for the position

Log into KTH's recruitment system to apply for this position. You are responsible for ensuring that your application is complete according to the instructions in the ad.

The application must include:

  • CV including relevant professional experience and knowledge.
  • Copy of diplomas and grades from your university studies. Translations into English or Swedish if the original documents have not been issued in any of these languages.
  • Brief research statement, including a personal account of why you want to conduct research, your academic interests and how they relate to your previous studies and future goals. Maximally two pages long

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.

Others

For information about processing of personal data in the recruitment process.

It may be the case that a position at KTH is classified as a security-sensitive role in accordance with the Protective Security Act (2018:585). If this applies to the specific position, a security clearance will be conducted for the applicant in accordance with the same law with the applicant's consent. In such cases, a prerequisite for employment is that the applicant is approved following the security clearance.

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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 According to agreement
Salary Monthly salary
Number of positions 2
Full-time equivalent 100 %
City Stockholm
County Stockholms län
Country Sweden
Reference number PA-2026-0585
Contact
  • Mikael Johansson , mikaelj@kth.se
Published 17.Feb.2026
Last application date 27.Mar.2026
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