School of Electrical Engineering and Computer Science at KTH

Project description

The Division of Decision and Control Systems is currently looking for up to two doctoral students with a very strong background and interest in physics-informed machine learning, mathematics, and learning for control. The successful candidates will join a world renowned team on the interdisciplinary project: developing physics-informed machine learning models for control. We are pioneers in exploring the synergy between physics-informed learning and its transformative impact on control systems. At least one position will be in close cooperation with the leading global manufacturer Hitachi Energy with real-world applications focused on enhancing the transmission of electric power in high-voltage components. This project is also identified by Hitachi Energy as a priority research area. 

The Division of Decision and Control Systems conducts fundamental research in networked control systems, cyber-physical systems, system identification, and transport systems. Industrial projects involve partners such as Hitachi Energy, ABB, Ericsson, and Scania. A major part of the research is conducted within the framework of the Wallenberg AI, Autonomous Systems and Software Program. We have a large academic network and collaborate with researchers at Caltech, MIT, UC Berkeley, Stanford, among others.

Third-cycle subject: Electrical Engineering

Supervision: Dr. Kateryna Morozovska, Ass.Prof Matthieu Barreau and Prof. Karl Henrik Johansson. 

What we offer

Admission requirements

To be admitted to postgraduate education (Chapter 7, 39 § Swedish Higher Education Ordinance), the applicant must have basic eligibility in accordance with either of the following:

  • passed a second cycle degree (for example a master's degree), or
  • completed course requirements of at least 240 higher education credits, of which at least 60 second-cycle higher education credits, or
  • acquired, in some other way within or outside the country, substantially equivalent knowledge

Admission to third-cycle studies in Electrical Engineering requires the applicant to have completed courses equivalent to at least 120 higher education credits from second-cycle studies or higher in the subject Electrical Engineering or other subjects deemed directly relevant to the specialization in question i.e. Computer Science, Mathematics, and Mechanical Engineering. These requirements will also be considered fulfilled by applicants who have acquired the equivalent knowledge through other means.

Applicants are expected to be able to read and write scientific texts in English, as well as being able to communicate verbally in English.

In addition to the above, there is also a mandatory requirement for English equivalent to English B/6, read more here


In order to succeed as a doctoral student at KTH you need to be goal oriented and persevering in your work. During the selection process, candidates will be assessed upon their ability to:

  • independently pursue his or her work
  • collaborate with others,
  • have a professional approach and
  • analyse and work with complex issues.

In the evaluation of candidates, great emphasis is placed on study results and completed courses. An earlier specialization in machine learning, heat transfer and/or control theory or mathematics is highly desirable and especially meritorious.

After the qualification requirements, great emphasis will be placed on personal competency. 

Target degree: Doctoral degree

Information regarding admission and employment

Only those admitted to postgraduate education may be employed as a doctoral student. The total length of employment may not be longer than what corresponds to full-time doctoral education in four years ' time. An employed doctoral student can, to a limited extent (maximum 20%), perform certain tasks within their role, e.g. training and administration. A new position as a doctoral student is for a maximum of one year, and then the employment may be renewed for a maximum of two years at a time. 

Union representatives

KTH's website.

Doctoral section (Students’ union on KTH Royal Institute of Technology)

section's website.

To apply for the position

Apply for the position and admission through KTH's recruitment system. It is the applicant’s responsibility to ensure that the application is complete in accordance with the instructions in the advertisement.

Applications must be received at the last closing date at midnight, CET/CEST (Central European Time/Central European Summer Time).

Applications must include the following elements:

  • CV including your relevant professional experience and knowledge.
  • Application letter with a brief description of why you want to pursue research studies, about what your academic interests are and how they relate to your previous studies and future goals. (Maximum 2 pages long)
  • Copies of diplomas and grades from previous university studies and certificates of fulfilled language requirements (see above). Translations into English or Swedish if the original document is not issued in one of these languages.Copies of originals must be certified.
  • Representative publications or technical reports. For longer documents, please provide a summary (abstract) and a web link to the full text.

Other information

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, 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
Contract type Full time
First day of employment According to agreement
Salary Monthly salary according to KTH's doctoral student salary agreement
Number of positions 2
Full-time equivalent 100%
City Stockholm
County Stockholms län
Country Sweden
Reference number J-2023-2543
  • Dr. Kateryna Morozovska,
  • Assistant Professor Matthieu Barreau,
  • Professor Karl Henrik Johansson,
Published 05.Oct.2023
Last application date 30.Oct.2023 11:59 PM CET

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