PhD student position in Deep learning for big power system data

Information about the department
At the Department of Signals and Systems, we conduct internationally renowned research in biomedical engineering, antenna systems, signal processing, image analysis, machine learning, automatic control, automation, mechatronics, and communication systems. We offer a dynamic and international research environment with about 150 employees from more than 20 countries, and with extensive national and international research collaborations with academia, industry and society.

The department provides more than 70 courses, of which most are included in the Master’s Programs ”Biomedical Engineering”, ”Systems, Control and Mechatronics”, and ”Communication Engineering”. Read more at www.chalmers.se/en/departments/s2.

The project
This project is a collaboration between the Signal Processing group at Chalmers and the Electrical Power Engineering group at Luleå University of Technology, following previous very successful cooperations. There is an increasing amount of measurement data ("big data") available from electrical power systems. Dedicated signal processing and machine learning methods are needed to make use of such data. Deep learning has received enormous attention recently because of its high performance. The project will develop deep learning methods for the analysis of electric power system data. These deep learning methods are aimed at recognition of the underlying causes of disturbances in voltage or current, and at obtaining a better understanding of the impact or phenomena of renewable electricity production on power quality.

Major responsibilities
Your major responsibilities are to pursue your own doctoral studies. You are expected to develop your own scientific /engineering concepts and communicate the results of your research both verbally and written in English. You are expected to significantly contribute to research in the field of deep learning methods and algorithms for big power system data, for automated learning towards understanding and diagnosis of underlying causes. The position also includes teaching on Chalmers' undergraduate level or performing other duties corresponding to at most 20 percent of working hours.

Position summary
Full-time temporary employment. The position is limited to a maximum of five years.

Qualifications
By the starting date, the applicant should have a Master of Science/Engineering degree, or equivalent, in Electrical Engineering, Computer Science, Engineering Physics, Applied Mathematics, or a related discipline corresponding to at least 240 higher education credits. A successful applicant should have a strong background in machine learning, signal processing, and programming, and basic knowledge of power systems. A genuine interest and curiosity in the subject, and excellent oral and written English communication skills are needed.

Chalmers continuously strives to be an attractive employer. Equality and diversity are substantial foundations in all activities at Chalmers.

Application deadline: 15 February, 2017

For questions, please contact:
Professor Irene Gu, irenegu@chalmers.se
Professor Math Bollen, math.bollen@ltu.se


*** Chalmers declines to consider all offers of further announcement publishing or other types of support for the recruiting process in connection with this position. *** 
   


 

Chalmers University of Technology conducts research and education in engineering sciences, architecture, technology-related mathematical sciences, natural and nautical sciences, working in close collaboration with industry and society. The strategy for scientific excellence focuses on our eight Areas of Advance; Building Futures, Energy, Information & Communication Technology, Life Science, Materials Science, Nanoscience & Nanotechnology, Production and Transport. The aim is to make an active contribution to a sustainable future using the basic sciences as a foundation and innovation and entrepreneurship as the central driving forces. Chalmers has around 11,000 students and 3,000 employees. New knowledge and improved technology have characterised Chalmers since its foundation in 1829, completely in accordance with the will of William Chalmers and his motto: Avancez!