PhD student in Automotive Software Engineering (m/f/d)

Updated: over 2 years ago
Deadline: The position may have been removed or expired!


03.08.2021, Wissenschaftliches Personal

The Chair of Robotics, Artificial Intelligence and Real-time Systems of the Technical University of Munich is looking for a PhD Student (m/f/d) in the area of Automotive Software Engineering (TV-L E13).


About us

The Technical University of Munich (TUM) is one of the largest and, in terms of third party funding, one of the most successful universities in Germany. It has been ranked among the best universities in the world and has consistently been named a "University of Excellence" every year since 2006 by the German National Science Foundation and the German government.

The Chair of Robotics, Artificial Intelligence and Real-time Systems led by Prof. Alois Knoll performs research in cognitive robotics and autonomous driving. Recent years have seen tremendous progress in the area of autonomous vehicles. However, in order to advance the field there is an urgent need to perform research into self-driving car architectures, software development processes, continuous integration, and deployment, with particular focus on safety, security, scalability, and reliability. In order to meet these challenges head-on, we have formed a joint innovation lab with a large global player in the automotive industry.


Tasks

The tasks of the team you will be working in include:

  • working in close collaboration with partners from industry to define requirements for next generation car architectures and car operating systems
  • analyzing the state of the art in embedded systems, architecture synthesis, validation and verification, software development processes, and standards
  • designing, implementing and deploying an innovative toolchain that meets all of the requirements for boosting the productivity of software development in this domain

Skills and experience required
  • Excellent university Master degree or equivalent (MSc thesis required; non-thesis MSc not accepted) or PhD in Computer Science or related field
  • Excellent programming skills, preferably C++ and Java, and ability to work in development teams
  • Experience in one or more of the following topics: Model-based Development, Domain-specific Languages, Formal Methods, Hypervisors, OS-level Virtualization and Orchestration, Continuous Integration and Deployment
  • Fluency in spoken and written English
  • Self-motivation and willingness to work in an international and interdisciplinary team

What we offer
  • A full-time position with remuneration in line with the current German public service (TV-L E13).
  • Possibility of carrying out PhD studies while working on the project. As a PhD student of TUM you will automatically be a member of the TUM Graduate School and as such can profit from extensive training programs, have access to funding for foreign research travels and certain consulting and advisory services.
  • TUM strives to raise the proportion of women in its workforce and explicitly encourages applications from qualified women.
  • Applications from disabled persons with essentially the same qualifications will be given preference.

Application

If you are interested in working in our team, please send your application together with a strong CV and supporting documentation to Amy Bücherl at the address listed below.

  • Desired start date: as soon as possible
  • Deadline: applications will be considered until the position is filled

If you apply in writing, we request that you submit only copies of official documents, as we cannot return your materials after completion of the application process.

Technical University of Munich
Chair of Robotics, Artificial Intelligence and Real-time Systems
Amy Bücherl
Boltzmannstr. 3, 85748 Garching
Tel. +49 89 289 18109
[email protected]
www.in.tum.de/i06
www.tum.de

Data Protection Information:
When you apply for a position with the Technical University of Munich (TUM), you are submitting personal information. With regard to personal information, please take note of the Datenschutzhinweise gemäß Art. 13 Datenschutz-Grundverordnung (DSGVO) zur Erhebung und Verarbeitung von personenbezogenen Daten im Rahmen Ihrer Bewerbung. (data protection information on collecting and processing personal data contained in your application in accordance with Art. 13 of the General Data Protection Regulation (GDPR)). By submitting your application, you confirm that you have acknowledged the above data protection information of TUM.

Kontakt: [email protected]



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