KTH Royal Institute of Technology

Postdoc in Machine Learning

2024-06-17 (Europe/Stockholm)
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Since its founding in 1827, KTH Royal Institute of Technology in Stockholm has grown to become one of Europe’s leading technical and engineering un...

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Job description

We are looking for a Postdoc in Machine Learning who will conduct research focussed on the modelling, prediction and planning of motions with applications to assistive technologies and robotics.

This position is part of a WASP-HS Networking Excellence Project (Netx) involving Umeå University, Uppsala University and KTH. The focus of the project is in particular to study how AI technologies can be applied for the purpose of preventative physiotherapy, e.g. for fall prevention. The role of the Postdoc in particular focusses on the development of novel Machine Learning-based methodologies and potential physical intervention/adaptation strategies that could be implemented by the project consortium – for example using a robot or other feedback mechanism that will be considered within the project. As part of the employment, the Postdoc will work in the research group of Associate Prof. Florian Pokorny and will also have an opportunity to collaborate closely with researchers within the NetX project as well as current doctoral students in Associate Prof. Florian Pokorny’s research group who are currently engaged in a variety of research areas in the field of Machine Learning and Robotics. Typical publication venues for the research conducted within this project are expected to include NeurIPS, ICML, AI Stats, IEEE/RSJ IROS, IEEE ICRA or other leading international conferences and journals.

More information about NetX:

NetX is a network initiative by the Wallenberg AI, Autonomous Systems and Software Program on Humanities and Society (WASP-HS) that aims to advance groundbreaking scientific cooperation between researchers at different universities and between researchers and external partners, with the goal of realizing excellent research and develop competence on the consequences and challenges of artificial intelligence and autonomous systems for humanity and society.

For more information about the research and other activities conducted within WASP-HS please visit; https://wasp-hs.org/.

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 be settled in Sweden and at KTH
  • An opportunity to develop your skills in a crossdiciplinary research project.

Read more about what it is like to work at KTH



  • A doctoral degree or an equivalent foreign degree. This eligibility requirement must be met no later than the time the employment decision is made.
  •  You exhibit research expertise, collaborative abilities and independence. 
  •  You are aware of diversity and equal opportunity issues, with specific focus on gender equality. For the position, it is required that you have good oral and written communication skills in English in your daily work.  

Preferred qualifications

  • A doctoral degree or an equivalent foreign degree, obtained within the last three years prior to the application deadline and within the subject areas of Computer Science, Robotics, Machine Learning, Mathematics or similar.
  • Track record in publications at leading international peer reviewed conferences. Examples include: NeurIPS, ICML, AI Stats, AAAI, IEEE ICRA, IEEE/RSJ IROS.

    Great emphasis will be placed on personal skills.

Trade union representatives

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

To apply for the position

Log into KTH's recruitment system in order to apply for 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.

The position may include security-sensitive activities. To become authorized, you therefore need to pass a possible security check.

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.

About 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. Read more here

Type of employment: Temporary position
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-2024-1147
  1. Florian Pokorny, recruitment manager, fpokorny@kth.se
  2. Lilly Engfeldt, HR, lillye@kth.se
Published: 2024-04-17
Last application date: 2024-06-17


Postdoc in Machine Learning
Brinellvägen 8 Stockholm, Sverige
2024-06-17 23:59 (Europe/Stockholm)
2024-06-17 23:59 (CET)
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Om arbejdsgiveren

Since its founding in 1827, KTH Royal Institute of Technology in Stockholm has grown to become one of Europe’s leading technical and engineering un...

Besøg arbejdsgiverens side

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