Postdoc in learning dynamical systems

Kungliga Tekniska högskolan, Skolan för elektroteknik och datavetenskap

The research activities of the Division of Decision and Control Systems are focused on system identification, control, machine learning and optimization of dynamical systems, with applications in autonomous systems, networked system, process control, modeling and control of bioprocesses, robotics and secure systems. The personel has a multicultural background and the working language is English. The division is internationally well established and is involved in many European and national research centers and projects. Industrial partners include ABB Corporate Research, ABB Process Automation, BillerudKorsnäs, Ericsson Research, and Scania. We have a large academic network and collaborate with researchers at MIT, UC Berkeley, Stanford University, TU Eindhoven, and Université de Lyon among others. Automation and Control at KTH was ranked 15 in the world in the latest ARWU Shanghai ranking.

Job description

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 up the research environment NewLEADS for this core technology in autonomous systems with applications such as smart buildings, self-driving vehicles, and self-learning robots. NewLEADS consists of 7 senior researchers complemented by postdocs and PhD-students. As a postdoc in NewLEADS you will work together with researchers from the two schools.

We focus on theory development around three important themes: Fundamental techniques focuses on how to learn parsimonious models for dynamical systems 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 dynamical systems systems, a field rapidly increasing in importance thanks to the fast development of (wireless) communication technology and the Internet-Of-Things paradigm.

For this position we are looking for 1-3 postdocs.

What we offer

  • International workplace.
  • A leading technical university that creates knowledge and expertise for a sustainable future.
  • Here you get colleagues with high ambitions in an open, curious and dynamic environment.

Qualifications

Requirements

  • A doctoral degree or an equivalent foreign degree, obtained within the last three years prior to the application deadline.
  • Candidates should have a Ph.D. or be near Ph.D. on a for the positions relevant topic, such as, e.g., system identification, statistical learning theory, machine learning or control theory.

    The successful applicant should have an outstanding research and publication record. Well-developed analytical and problem solving skills are a requirement. We are looking for strongly motivated persons, who are able to work both independently and in collaboration with others. Good command of English orally and in writing is required to present and publish research results.

Great emphasis will be placed on personal competence and suitability.

Trade union representatives

You will find contact information to trade union representatives at KTH's webbpage .

Application

Log into KTH's recruitment system in order to apply to this position. You are the main responsible to ensure that your application is complete according to the ad.

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).

Others

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.

The employment is time limited to 1 year with possibility of extension with 1 more year.

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
Working hours: Full time
Salary: Monthly
City: Stockholm
Reference number: J-2019-1765
Published: 2019-07-08
Last application date: 2019-08-31


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