At the department of Electrical Engineering research and education are performed in the areas of Communication and Antenna systems, Systems and Control, Computer vision, Signal processing and Biomedical engineering, and Electric Power Engineering. Our knowledge is of use everywhere where there is advanced technology with integrated electronics. We work with challenges for a sustainable future in society of today, for example in the growing demands concerning efficient systems for communications and electrification.

We offer a dynamic and international work environment with about 200 employees from more than 20 countries, and with extensive national and international research collaborations with academia, industry and society.

The department provides about 100 courses, of which most are included in the Master’s Programs ”Biomedical Engineering”, “Electric Power Engineering”, ”Systems, Control and Mechatronics” and ”Communication Engineering”.

Read more at www.chalmers.se/en/departments/e2


Information about the research

We are moving towards a society with a mix of legacy human-driven vehicles (HDV) and connected automated vehicles (CAVs). While we are still far away from fully automated intersections and large-scale platooning with private vehicles, more immediate opportunities exist exploiting the availability of a small fraction of CAVs. It is our vision that a small fraction of CAVs can significantly improve throughput, energy efficiency, and safety of large transportation networks. More specifically, if the CAVs are connected via ultra-fast 5G wireless links, they can act as actuators on shaping urban traffic system. This allows for more refined traffic control in conjunction with traffic lights, variable speed signs, and route guidance. Secondly, CAVs can upload their sensory data to a cloud via high-throughput 5G connectivity and provide fine-grained traffic information related to congestion, accidents, and road conditions. The main methodological questions behind this project are: how to collect and disseminate information and how to coordinate CAV actions over a 5G network.

Chalmers University of Technology is located in Gothenburg on the scenic west coast of Sweden. It is among the top research schools in Europe. The research environment is international and English is the working language.

This is a synergic research project between two research Division/Groups within the Department of Electrical Engineering. The Division on Communication Systems is focused on theory and algorithms for digital communication systems, ranging from fundamental to application-driven research including disciplinary and multidisciplinary projects. The Automatic Control Group focuses on applications in the transportation and energy sectors whilst having a long tradition in robust and optimal control design solutions.

Major responsibilities
You will participate in an interdisciplinary research project, combining control, signal processing, and communication to develop novel coordination algorithms for CAVs. This research project is part of the Wallenberg Autonomous Systems Program (WASP) and involves a set of mandatory courses as well as short-term travel to course locations and other sites in Sweden and abroad.

The appointment offers great opportunities to qualify for further research positions within academia or industry as we have numerous ongoing collaborations with the leading groups internationally.

Position summary
The position as a PhD student is a full-time temporary employment, limited to a maximum of four years, plus teaching and other departmental duties. A monthly salary is paid. There are no tuition fees for PhD studies at Chalmers.

Qualifications
The applicant should have a Master's degree in Electrical Engineering, Engineering Physics, Applied Mathematics, Computer Science, Control, Communication or similar. Excellent presentation skills, and fluency in English are required. High grades in the core courses are required (we generally only accept top 10% of students). Skills in mathematical analysis are essential, particular statistical signal processing, control theory, optimization theory. Interest or experience with reinforcement learning or random finite set theory, as well as previous experiences in research, publications, and teaching are advantageous.

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

Our offer to you
Chalmers offers a cultivating and inspiring working environment in the dynamic city of Gothenburg
Read more about working at Chalmers and our benefits for employees.

Application procedure
The application should be marked with Ref 20190333 and written in English. The application should be sent electronically and be attached as pdf-files, as below:

CV: (Please name the document: CV, Family name, Ref. number)
• CV
• Other, for example previous employments or leadership qualifications and positions of trust.
• Two references that we can contact (email and phone number)

Personal letter: (Please name the document as: Personal letter, Family name, Ref. number)
• 1-3 pages where you introduce yourself and present your qualifications.
• Previous research fields and main research results.
• Future goals and research focus. Are there any specific projects and research issues you are primarily interested in?

Other documents:
• Copies of bachelor and/or master’s thesis.
• Attested copies and transcripts of completed education, grades and other certificates, eg. TOEFL test results.

Please use the button at the foot of the page to reach the application form. The files may be compressed (zipped).

Application deadline: 31 July 2019

For questions, please contact:
Henk Wymeersch,
Communication Systems Group,
henkw@chalmers.se

Balazs Kulcsar,
Automatic Control Group,
kulcsar@chalmers.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!