PhD Position for Motion Planning for Collaborative Autonomous VehiclesTechnische Universität München • Informatik • Garching bei München

Germany Universities

Germany

January 31, 2022

Description

Open Positions 1

Time Span 15 Feb 2022 for 3 years Application Deadline 31 Jan 2022 Financing yes Type of Position

  • PhD - Individual Supervisor
  • PhD - Doctoral Programme
  • Field of Research

  • Mathematics / Natural Sciences
  • Engineering
  • Subjects Cyber-physical systems Description The research group Cyber-Physical Systems of Prof. Matthias Althoff at the Technical University of Munich offers a PhD position in the area of motion planning for collaborative autonomous vehicles. The Technical University of Munich is one of the top research universities in Europe fostering a strong entrepreneurial spirit and international culture.

    Expected Starting Date: 15 February 2022-01 May 2022

    Closing Date for Applicants: 31 January 2022

    Duration: 3 years with a possible extension

    Project and Job Description

    Automated driving will unquestionably provide a variety of benefits, including the reduction of traffic accidents, traffic jams, and mobility barriers (too young or old to drive). It is unanimously agreed among experts that the benefits of automated driving can only be fully used when vehicles cooperatively adapt to each other. A major obstacle towards this promising future is to guarantee in a mathematically provable way that the automated system always works correctly in diverse environments with varying road and weather conditions and a varying degree of collaboration of traffic participants. This endeavor is especially challenging since each traffic situation is different and thus automated driving cannot be verified beforehand, requiring that the vehicle verifies itself periodically given the current traffic situation.

    We address the important requirement to guarantee safe, correct, and coordinated motion of automated vehicles by establishing a framework, which integrates the consideration of traffic rules, cooperative maneuver- and trajectory-planning, and formal verification in a unique framework to provide intrinsic correctness. We will specify traffic rules and further specifications with temporal logics. These specifications will be checked using reachability analysis.

    The developed methods should be tested in our research vehicle. Since physical test drives are costly and time-consuming, it is advantageous to accompany them with computer simulations. In order to automatically generate challenging traffic scenarios, we will also use the developed methods to control other traffic participants in a way that challenges the collaborative group. The generated traffic scenarios should also be included in our benchmark suite CommonRoad (commonroad.in.tum.de). It is also expected that the applicant continues the development of CommonRoad.

    Previous Work

    A previous work on collaborative motion planning can be found here: https: // mediatum.ub.tum.de/doc/1455433/90208.pdf An example of our previous work on automatic test-case generation of autonomous vehicles can be found here: https: // mediatum.ub.tum.de/doc/1545515/564242.pdf A previous approach on reachability analysis of autonomous vehicles is described here: https: // mediatum.ub.tum.de/doc/1379679/lb6uhqbnwy9fp4hm6de8lus5h.soentges-2018-t-its.pdf

    Job Specifications

    Excellent Master's degree (or equivalent) in computer science, engineering, or related disciplines (typically mathematics, physics). Fluency in spoken and written English is required. Good programming skills in at least one programming language, e.g. MATLAB, C/C++, Python. Highly motivated and keen on working in an international and interdisciplinary team Applicants with strong background in the following fields are preferred: - Autonomous vehicles - Robotics - Motion planning - Control theory - Logics - Model-based testing

    Context

    The applicant will be directly advised by Prof. Matthias Althoff (https:// www6.in.tum.de/en/people/prof-dr-ing-matthias-althoff). Besides excellent skills for conducting innovative science, the candidate should also be talented in implementing research results within the CommonRoad framework and lead teams of students.

    Our Offer

    PhD remuneration will be in line with the current German collective pay agreement TV-L E13 (around 4300 Euros/month). Technical University of Munich is an equal opportunity employer committed to excellence through diversity. We explicitly encourage women to apply and preference will be given to disabled applicants with equivalent qualifications.

    Contact

    International candidates are highly encouraged to apply. Please submit your complete application (in English or German) via our application form: https: // wiki.tum.de/display/cpsforms/Ph.D.+Application. Fill out all mandatory fields () and kindly use “Motion Planning for Collaborative Autonomous Vehicles” as the “Title of Position”. Please do not include a cover letter.

    Working Language

  • English
  • German
  • Language of Dissertation

  • English
  • Required Documents

  • CV
  • Reports, certificates
  • Transcripts
  • Others : Master's thesis
  • More Information https: // portal.mytum.de/jobs/wissenschaftler/NewsArticle20211222175145

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