School of Electrical Engineering and Computer Science at KTH

Project description

The school of EECS announces two positions:

  1. Learning smooth cost functions for joint grasp and motion planning: the student will investigate machine-learning techniques to learn smooth cost functions for joint grasp and motion planning. The goal is for a robot to on the fly adapt its grasp and motion plans when new sensory information becomes available. To this end, the student will have the opportunity of exploring several interesting machine-learning topics, such as imitation learning, diffusion models, and reinforcement learning.
  2. Grasp quality assessment for deformable grippers: the student will investigate physics- and machine-learning-based grasp quality assessment techniques for soft and deformable grippers such as suction cup grippers. The goal is to provide a grasp measure that indicates how good a grasp is on an object without even having to try the actual grasp on the robot. The student will have the opportunity to develop and implement novel algorithms for grasp quality assessment on state-of-the-art robotic systems and grippers.

Third-cycle subject: Computer Science

Supervision: Professor Danica Kragic and Dr. Jens Lundell 

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

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.

Good programming skills and documented academic performance such as transcripts are required for both positions.

  • Further preferred requirements specified for the different positions (1/2) are:
    Experience with formal methods/temporal logic, multi-agent systems, and/or motion planning and, 
  • experience with robot manipulation, human-robot interaction, and/or machine learning. 

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. In the case of studies that are to be completed with a licentiate degree, the total period of employment may not be longer than what corresponds to full-time doctoral education for two years.

Union representatives

Contact information  KTH's website.

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

Contact information section's website.


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:

  • 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 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
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-2023-1218
  • Professor Danica Kragic Jensfelt,
  • Lisa Olsson HR officer,
Published 11.May.2023
Last application date 01.Jun.2023 11:59 PM CEST

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