PhD Scholarship in Learning of Dynamical Systems at KTH Royal Institute of Technology

Applicants are invited to apply for a PhD position in signal processing at KTH Royal Institute of Technology. Successful candidate will have funding to work and study for two years in Sweden. Applications should be sent before January 15, 2019.

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.

The rapid development in machine learning has led to spectacular results in a number of computer applications. An important reason for this is the rich availability of training data in these applications needed to train the algorithms. These successes have led researchers to study the possibilities for machine learning in a range of engineering areas such as robotics, smart buildings and self-driving cars. These are examples of highly complex dynamic systems where access to data is limited and where security aspects are important. In order to achieve safe and reliable cyber-physical systems, it is necessary to include physical knowledge in the learning phase of the algorithms . In particular, in many applications it is possible to actively control the system so that as informative data as possible can be extracted.

In this project we focus on the fundamental aspects of learning algorithms for decision and control of dynamical systems. The field of research lies in the interface between electrical and computer engineering and computer science and includes systems and control, signal processing , mathematical statistics and machine learning. Computational aspects are also of great importance since many applications and optimization based algorithms are computer-intensive.

The project is part of the network of excellence, NewLEADS, which is funded by the Swedish Research Council and consists of 7 senior researchers from KTH and Uppsala University as well as postdoctoral and doctoral students. As a doctoral student in this research environment, you will be co-supervised by researchers from both universities, having the opportunity to attend international research meetings, as well as attending international conferences and other activities that can extend your professional network and benefit your future career. Within the project, there will be good opportunities to interact with Wallenberg AI, Autonomous Systems and Software Program (WASP,

In order to succeed as an doctoral student at KTH you need to be goal oriented and persevering in your work.

At the time of admission, the applicant must hold a Master of Science degree in Electrical Engineering, Engineering Physics or Computer Science or equivalent degree .

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.

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).


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