KTH Royal university of Technology, Sweden - Logo

Ph.D. student in information theory for Markov decision processes – KTH Royal Institute of Technology in Stockholm, Sweden, 2022


Ph.D. student in information theory for Markov decision processes at School of Electrical Engineering and Computer Science at KTH Royal Institute of Technology in Stockholm, Sweden, 2022

Save 0

Scroll Down for Content

General Info

Deadline to Apply: Expired
Position: Ph.D. student
No. of Positions: 1
Eligibility (Gender):
Eligibile Nationals: All Nationals
Research Field:
Joining Date: ASAP
Contract Period: 4 Years

School of Electrical Engineering and Computer Science

KTH Royal Institute of Technology, Sweden

Scroll Down for Content

Qualification Details

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. These requirements will also be considered fulfilled by applicants who have acquired the equivalent knowledge through other means. Normally, a master’s degree in the relevant research domain fulfills these requirements.

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.

The successful candidate needs to have a strong academic track record with provenabilities in applied mathematics, statistics, signal processing, information theory, and related areas.

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

Responsibilities/Job Description

The position is announced in the framework of the Wallenberg-WASP initiative(https://wasp-sweden.org/). The PhD student will be affiliated with the WASP graduate school.

The general focus is toward theory and foundational understanding of sequential decision making and machine learning based on feedback, including reinforcement learning. The applicant should have an interest and talent for theoretical research with a background in electrical engineering, engineering physics or applied mathematics.

How to Apply?

Application Method: Online Application
Ref. No.: J-2022-1427

Application Procedure

  • 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.

About the

Scroll Down for Content

About the Employer: KTH Royal Institute of Technology, Sweden

Note or Other details

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.

Scroll Down for Content

Contact details

Other Vacancies from this field

Scroll Down for Content