Kungliga Tekniska högskolan, Skolan för teknikvetenskap

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.

Subject field

Mathematics with specialization in model-driven machine learning

Subject description

Mathematics including development of theory and algorithms using machine learning combined with mathematical analysis and mathematical statistics to solve multi scale ill-posed and inverse problems. The nature of the theory and algorithms shall be mathematical fundamental, but motivated by applications on, above all, multi-scale experimental data, e.g. image reconstruction.


Development of activities within model driven machine learning and establishment of an own research group. Research and teaching as well as administrative tasks. Contribute to the development of the educational program and courses on both basic and advanced levels.

Supervising Ph.D. students and student thesis projects, often in collaboration with companies. The duties also include responsibility to develop connections between the department and researchers in more applied fields. If the successful applicant is unable to lecture in Swedish at the time of appointment, he or she is expected to be able do so within two years after admission.


Those qualified for appointment as an associate professor are persons who have:


  • been awarded a PhD or has the corresponding research competence or some other professional expertise that is of value in view of the subject matter of the post and the duties that it will involve, and
  • demonstrated teaching expertise


Grounds of assessment

The assessment criteria for appointment as an associate professor at KTH shall be the degree of expertise required as a qualification for employment. In addition, the assessment criteria stated in the KTH appointments procedure, section 1.2, apply in relation to the employment profile laid down.


Of highest importance is the applicant’s

  • research skills in the subject field
  • teaching skills in the subject field
  • experience of successful collaborations with researchers and other relevant people outside the field of mathematics


Of second highest importance is the applicant’s

  • experience in administering and leading research projects


It is also important that the applicant has


  • the ability to pursue third-stream activities and also provide information about research and development work.
  • expertise in developing and leading activities and staff. This includes knowledge of diversity and equal treatment issues with a particular focus on gender equality.
  • administrative and other expertise that are of importance.
  • interpersonal skills.

Trade union representatives

Contact information to trade union representatives can be found at KTH:s web page.


Your application should follow KTH:s CV template for employment of teachers. It is the responsibility of the applicant to ensure that the application is complete according to the requirements in the ad and CV template.

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).

Log into KTH:s recruitment system in order to apply to this position online.

For more information regarding KTH's assessement, see Appointments procedure for teachers at the Royal Institute of Technology


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 Permanent position
Contract type Full time
First day of employment According to agreement
Salary Monthly pay
Number of positions 1
Working hours 100%
City Stockholm
County Stockholms län
Country Sweden
Reference number VL-2018-0060
  • Boualem Djehiche, Professor, +46 8 790 78 75 e-mail:boualem@math.kth.se
  • Anna-Karin Burström, HR-admin, +46 8 790 91 30 e-mail:akbu@kth.se
Published 11.Sep.2018
Last application date 13.Nov.2018 11:59 PM CET

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