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.
Third-cycle subject: Electrical Engineering
Learning Dynamical Systems is an area closely related to cyber-physical systems as well as real-time big data analytics, and it provides backbone algorithms for digitalization of industry and society. Together with researchers from Uppsala University, and with strong support from the Swedish Research Council, we are now building the research environment NewLEADS for this core technology in autonomous systems with applications such as smart buildings, self-driving vehicles, and self-learning robots. We focus on theory development around three important themes: Fundamental techniques focuses on how to learn parsimonious models in a statistical and computationally efficient way. Active and on-line learning concerns how to improve data-efficiency by actively controlling the excitation of the system in a sequential manner, possibly together with an application specific objective. Dynamical networked systems addresses issues of relevance to interconnected systems, a field rapidly increasing in importance thanks to the fast develpment of (wireless) communication technology and the Internet-Of-Things paradigm.
NewLEADS consists of 7 senior researchers complemented by postdocs and doctoral students. As a doctoral student in NewLEADS you will be jointly supervised by researchers from the two schools, you will have the possibility to visit other leading international research groups and to participate in international conferences. The doctoral program in Electrical Engineering provides world class quality education, including a large list of graduate courses.
One of the positions is sponsored by Wallenberg AI, Autonomous Systems and Software Program (WASP), funded by Knut and Alice Wallenberg Foundation. This doctoral student will attend the WASP-AS Gradate School.
What we offer
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:
In order to succeed as an doctoral student at KTH you need to be goal oriented and persevering in your work. In the selection of the applicants, the following will be assessed:
The successful applicant is expected to hold or to be about to receive an MSc degree in Electrical Engineering, Engineering Physics or Computer Engineering.
After the qualification requirements, great emphasis will be placed on personal qualities and personal suitability.
Target degree: Doctoral degree
Information regarding admission and employment
Only those who are or have been admitted to third-cycle studies may be employed as a doctoral student. The term of the initial contract may not exceed one year and may thereafter be extended. Doctoral students may engage in teaching, research, and administration corresponding to a maximum of 20 % of a full-time position.
You will find contact information for union representatives on KTH's website.
Doctoral section (Students’ union on KTH Royal Institute of Technology)
You will find contact information for doctoral section on the 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/entral European Summer Time).
Applications must include the following elements:
Gender equality, diversity and zero tolerance against discrimination and harassment are important aspects of KTH's work with quality as well as core values in our organization.
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 longer than 6 months
|Title||Doctoral students in self-learning dynamical systems|
|Employer||KTH Royal Institute of Technology|
|Job location||Valhallavägen 79, 100 44 Stockholm|
|Published||June 13, 2019|
|Application deadline||August 31, 2019|
|Job types||PhD  |
|Fields||Computer Engineering,   Engineering Physics,   Electrical Engineering,   Systems Engineering  |