Post Doc in Learning Dynamical Systems

Royal Institute of Technology


1-3 Postdocs in Learning Dynamical Systems

KTH Royal Institute of Technology

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

Learning Dynamical Systems is an area closely related to cyber-physical systems as well as real-time big data analytics, and it provides backbone algorithms for digitalization of industry and society. Together with researchers from Uppsala University, and with strong support from the Swedish Research Council, we host the research environment NewLEADS  for this core technology with applications such as smart buildings, self-driving vehicles, and self-learning robots. As a postdoc in NewLEADS you will work together with researchers from the two schools.

We focus on theory development around three important themes: Fundamental techniques focuses on how to learn parsimonious models for dynamical systems in a statistical and computationally efficient way. Active and on-line learning concerns how to improve data-efficiency by actively controlling the excitation of the system in a sequential manner, possibly together with an application specific objective. Dynamical networked systems addresses issues of relevance to interconnected dynamical systems systems, a field rapidly increasing in importance. A very challenging application concerns modeling, experiment design and optimization of  mammalian cell bioprocesses used for production of biopharmaceuticals. This is done in  collaboration with the Centre for Advanced BioProduction (AdBIOPRO) which hosts experimental faciltites.

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



  • A doctoral degree or an equivalent foreign degree, within a relevant topic for the position, such as, e.g., system identification, statistical learning theory, machine learning or control theoryobtained.
  • The doctoral degree must have been completed within three years prior to the application deadline.

The successful applicants should have an outstanding research and publication record. Well-developed analytical and problem solving skills are a requirement. We are looking for strongly motivated candidates, who are able to work both independently and in collaboration with others. Good command of English orally and in writing is required to present and publish research results.

Great emphasis will be placed on personal competence and suitability.

Trade union representatives

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


The application should include:

  1. Full curriculum vitae including your relevant academic, professional, and other achievements, experience and knowledge
  2. Copy of the degree certificate(s) from your previously attended university-level institutions, with certified translations in English (unless provided so by the issuing institution)
  3. Statement of purpose: What are your academic interests, how does the project relate to your previous studies and future goals; maximum 2 pages long
  4. List of publications and copies of two representative publications or technical reports no longer than 10 pages each. For longer documents (e.g. theses), please provide a summary (abstract) and a web link to the full text
  5. Letters of recommendation
  6. Contact information for two reference persons

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).

Fixed term employment for one year, and at the most up to two years.

About the employment

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
Number of positions 1
Working hours 100%
City Stockholm
County Stockholms län
Country Sweden
Reference number J-2020-1126
Håkan Hjalmarsson,
Felicia Gustafsson,
Published 15.May.2020
Last application date 22.Jun.2020 11:59 PM CET

In your application, please refer to