Doctoral Students in Applied Optimization and Machine Learning Royal Institute of Technology, School of Electrical and Systems Engineering

Doctoral students in applied optimization and machine learning


Royal Institute of Technology, School of Electrical and Systems Engineering


KTH is one of Europe's leading technical universities and an important arena for knowledge development. As Sweden's largest university of technical research and education, we gather students, researchers and faculty from around the world. Our research and education covers both natural sciences and all branches of technology as well as architecture, industrial economics, social planning, technical history and philosophy.


The Department of Network and Systems Engineering consists of about 20 teachers, researchers and doctoral students who contribute to a high professional standard of intensive work and quality results, as well as a pleasant and open environment. The staff has an international background and the working language is English. The department is internationally well-established, has many research collaborations with excellent partners all over the world and is involved in several European and national projects.


project Description


We are now looking for 1-2 PhD students with background and interest in mathematics, optimization, machine learning, networking, system theory. Our research projects will support these doctoral students in the areas of optimization and machine learning with application to the Internet, wireless networks or cyber-physical systems of things.


The doctoral student program in Electrical and Systems Engineering offers world-class education, with postgraduate courses that ensure the deep development of relevant knowledge and skills.


KTH offers an attractive working environment, generous salary and other employment benefits. As a PhD student at KTH you have the opportunity to attend conferences, projects and other relevant activities that can extend your professional network and benefit your future career.




We are looking for highly motivated individuals who hold a Master of Science in Engineering Physics, Electrical Engineering, Computer Science or the like. The chosen candidate needs an excellent academic qualification, well-developed analytical skills, as well as skills in problem solving. We are looking for a highly motivated candidate who can work independently. Good knowledge of English in spelling and writing is necessary to publish and present research results in international conferences and journals. They should be ready to contribute to an international research group and a scientific research agenda of great importance to European industry and society. KTH has high ambitions in terms of providing a wide range of skills, and therefore welcomes applicants that increase diversity within the university.


Union representatives


You will find contact information for union representatives on the KTH website . 



You apply through KTH's recruitment tool. You as the applicant have the main responsibility for completing your application as per the instructions below. Your complete application must be KTH at the latest by the closing date.


The application must contain the following:

  1. CV including relevant professional experience and knowledge.

  2. Copies of diplomas and grades from your previous university studies. Translations to English or Swedish about original documents are not issued in one of these languages.

  3. Brief explanation of why you want to conduct research studies, about your academic interests and how they relate to your past studies and future goals; max 2 pages long.

  4. Representative publications or technical reports: Document no more than 10 pages each. For longer documents (eg dissertations), attach a summary (abstract) and a web link to the full text.


  6. Contact information for two reference persons. We reserve the right to contact referrals only for selected candidates.



The employment is time-limited according to the regulations for doctoral employment in the Higher Education Ordinance (~ 5 years at 80% research and 20% institutional service which also involves teaching).


We discourage direct contact with staffing and recruitment companies as well as sales adverts.


Type of employment

Fixed-term employment longer than 6 months

Extent of employment



By agreement, preferably as soon as possible


Monthly salary according to KTH's agreement for doctoral salaries

Number of vacancies


employment rate





Stockholm County






  • Carlo Fischione, Associate Professor,, +46 73 632 25 61

  • Mikael Visén, Human Resources Administrator,, +46 8 790 84 89



Application deadline



If you apply for this position please say you saw it on Engineeroxy


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