PhD Position for Set-Based Prediction in Autonomous Driving

Technical University of Munich Cyber-Physical Systems

Germany

PhD Position for Set-Based Prediction in Autonomous Driving

16.11.2020, Wissenschaftliches Personal

The research group Cyber-Physical Systems of Prof. Matthias Althoff at the Technical University of Munich offers a PhD position in the area of set-based prediction in autonomous driving. 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: 01 March-01 May 2021

Closing Date for Applicants: 31 January 2021

Duration: 3 years with a possible extension.

Project and Job Description

The focus of this position is on developing new methods for the grand challenge of guaranteeing safe maneuvers of automated vehicles. A special focus will be on considering uncertainties in the future behavior of other traffic participants as well as uncertainties originating from the object retrieval of environment sensors (e.g. video cameras, LIDAR, RADAR, etc.). Using methods from optimization in conjunction with formal verification methods should provide a prediction of surrounding traffic participants ensuring the enclosure of the true behavior. These prediction methods are also referred to as set-based prediction. Our latest paper regarding this topic can be found at https://ieeexplore.ieee.org/document/9170860. Results should be demonstrated using CommonRoad (commonroad.in.tum.de), our driving simulator, as well as our autonomous vehicle.

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:
    • Signals and systems
    • Robotics and autonomous driving
    • Formal verification
    • Logics
    • Software engineering

Context

The applicant will be directly advised by Prof. Matthias Althoff (http://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 on a real vehicle 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 send a complete application (in English or German) including a CV, the Master thesis (highly recommended), your full transcript of records and contact details to Moritz Klischat (moritz.klischat@in.tum.de). Please do not include a cover letter. We kindly ask you to use the subject line “Application to Set-Based Prediction in Autonomous Driving” in your application email. Further similar job offerings will be announced soon on https://www.in.tum.de/en/i06/open-positions/scientific-staff/.

Hinweis zum Datenschutz:

Im Rahmen Ihrer Bewerbung um eine Stelle an der Technischen Universität München (TUM) übermitteln Sie personenbezogene Daten. Beachten Sie bitte hierzu unsere Datenschutzhinweise gemäß Art. 13 Datenschutz-Grundverordnung (DSGVO) zur Erhebung und Verarbeitung von personenbezogenen Daten im Rahmen Ihrer Bewerbung. Durch die Übermittlung Ihrer Bewerbung bestätigen Sie, dass Sie die Datenschutzhinweise der TUM zur Kenntnis genommen haben.

Kontakt: Moritz Klischat (moritz.klischat@in.tum.de)


In your application, please refer to Polytechnicpositions.com

FACEBOOK
TWITTER
LINKEDIN

baner1

baner10

baner12

baner14

baner2

baner3

baner4

baner5

baner6

baner7

baner8

baner9