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Postdoctoral Position in Public Transit Shared Mobility Connected and Safe Solutions

Applicants are invited to apply for a postdoctoral scholar position in signal processing at Chalmers University of Technology. This fellowship is last for two years and posible to extend. Applications should be sent before January 10, 2019.

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

Urban Mobility Systems research group is a newly established group within the Division of Geotechnics and Geology, Department of Architecture and Civil Engineering. The group is focused on improving safety, efficiency, and sustainability of our future urban mobility systems, from an infrasturcutre centred perspective.

Information about the research

We invite applications for one doctoral position (placed in the Automatic Control Group and or Urban System Mobility group) on developing scalable, real-time implementable methods for demand learning optimal public transport scheduling based on shared mobility concepts taking into account the mixed environment of passenger-self-driven vehicular fleet. We will rely on an inter-disciplinary approach between traffic theory (e.g., bus following model, bus network models, crowd dynamics), control theory (e.g., bus bunching) and traffic safety (e.g., crashes/near-crashes/conflicts assessment). We propose to use adaptive learning algorithms in order to (i) estimate the travel demand, (ii) define and estimate the risks of crashes/conflicts and (iii) minimize transit delays (primary and secondary). The project will initially focus on designing intelligent algorithms for the public transport in Gothenburg, for which large amount of data on city bus driving has already been recorded. One of the tasks is to investigate and propose an appropriate level of model abstractions and control decomposition into multiple layers that allow a real-time implementable solution.

Major responsibilities

Full-time temporary employment. The position is limited to a maximum of two years (1+1).

Qualifications

To qualify as a postdoc, you must have a PhD degree (or closed to completion) in a relevant field such as control, transportation, mathematics, electrical, mechanical, or engineering physics. Your educational background should (partially) cover some courses on modeling, traffic theory and control. In addition you should have understanding on optimization and learning algorithms. Ability to initiate new research collaborations is essential. Good communication skills in oral and written English are required.

Chalmers offers a cultivating and inspiring working environment in the dynamic city ofGothenburg.

Read more aboutworking at Chalmersand ourbenefitsfor employees.

Application procedure

The application should be marked with Ref 20180673 and written in English.

CV: (Please name the document as: CV, Surname, Ref.

CV, include complete list of publications

Previous teaching and pedagogical experiences

Two references that we can contact.

Personal letter:(Please name the document as: Personal letter, Family name, Ref.

1-3 pages where you introduce yourselfand 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?

Attested copies of completed education, grades and other certificates.

Application deadline: 10 January, 2019

Balzs Kulcsr, E2, Control (kulcsar@chalmers.se)

Xiaobo Qu, ACE, (xiaobo@chalmers.se)

Selpi, M2 (selpi@chalmers.se)


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