PhD student position in Learning in Stochastic Traffic Networks

Project description
Understanding efficiency and behavior aspects in partially automated (vehicular) technology in large-scale (traffic) context is an unsolved problem nowadays. Our main goal is to develop learning methods for uncertain traffic networks. We will rely on interdisciplinary approaches among i) mathematical sciences (stochastic Partial Differential Equations sPDE, numerical schemes) ii) non-negative system theory (kinetic, compartmental models), iii) traffic flow theory (hyperbolic conservation vehicular laws, network efficiency) glued by machine leaning concept. We propose to learn the 1) parameters and 2) solution of sPDE network (or their approximated) models. Learning the solutions of such models enables us to predict traffic network behavior.

This position at the Department of Electrical Engineering offers great opportunities to qualify for further research positions within academia or industry as we have numerous ongoing collaborations with the leading groups internationally.

The Automatic Control Group focuses on applications in the transportation and energy sectors whilst having a long tradition in robust, optimal control design solutions.

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.

Major responsibilities
Your major responsibilities are to pursue your own doctoral studies. You are expected to develop your own scientific concepts and communicate the results of your research verbally and in writing. The position generally also includes teaching on Chalmers' undergraduate level or performing other duties corresponding to 20 per cent of working hours.

Contract terms
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, Control Engineering, Engineering Physics, Applied Mathematics, Computer Science, or similar corresponding to at least 240 higher education credits. Excellent presentation skills, and fluency in English are required. Skills in mathematical sciences (PDE,ODE), system and control theory are essential, nonlinear system theory, optimization theory. Interest or experience with approximate solutions to PDEs, compartmental models, 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 20210240 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.

Personal letter: (Please name the document as: Personal letter, Family name, Ref. number)
1-3 pages where you:
• Introduce yourself
• Describe your previous experience of relevance for the position (e.g. education, thesis work and, if applicable, any other research activities)
• Describe your future goals and future research focus

Other documents:
• Copies of bachelor and/or master’s thesis.
• Attested copies and transcripts of completed education, grades and other certificates, e.g. 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: 4 June, 2021

For questions, please contact:
Balazs Kulcsar, Automatic Control Group, Systems and Control Division
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 six Areas of Advance; Energy, Health Engineering, Information and Communication Technology, Materials Science, 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!