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Postdoktorand im Bereich KI-Methoden für die Analyse von Straßenverkehrsdaten



A postdoctoral researcher position is available at the newly established research group Systems, Data, Simulation & Energy (SYDSEN) at the AIFB Institute. The SYDSEN research group deals with the use of data for providing decision support and enhancing energy efficiency, reliability and other performance metrics of cyber-physical systems, such as energy systems or smart manufacturing systems. In particular, our focus is on the development of new methods and approaches for data-driven modeling and simulation and its seamless integration with expert knowledge. The research will be linked to the project TyRoN (Tyre Road Noise – Data-based study of effects on controlled and real drive noise emission) funded by the Federal Ministry of Transport and Digital Infrastructure. The aim of the project is to tap into the reduction potential of tire-road noise emissions. For this purpose, a database for tire-road noise emissions and its influencing factors in real-world road traffic shall be established, and a predictive model derived using AI methods that bridges the gap between existing physical models and reality. The model should allow for extrapolating noise emissions on other routes from suitable measurements on a specific road and deriving mitigation measures. Our Work Package entails researching, implementing, and optimizing AI solutions for various aspects of the project, including road surface classification, road material identification, friction coefficient prediction, and more. Your responsibilities will involve collaboration with project partners, ensuring the seamless integration of AI techniques, and rigorous performance evaluation. This position offers an exciting opportunity to contribute to groundbreaking research in the field of transportation technology. Partners in the project are big players in the automotive industry, such as Audi, BMW, Continental, Porsche AG, Volkswagen AG, etc. The work package is supervised by professors Sanja Lazarova-Molnar and Alexey Vinel.

Personal qualification
  • A doctoral degree in computer science, machine learning, data science or similar.
  • Solid publication record in data-driven approaches.
  • Proven experience in developing and implementing AI models, particularly with CNNs, RNNs, and other deep learning architectures.
  • Proficiency in Python programming.
  • Exceptional problem-solving skills and the ability to work both independently and collaboratively.
  • Strong communication skills to effectively interact with project partners.
  • Prior experience in AI research or projects related to road traffic analysis is advantageous.
  • Good command of English.


The remuneration occurs on the basis of the wage agreement of the civil service in EG-13, depending on the fulfillment of professional and personal requirements.

Starting date

1. November 2023 or soon thereafter

Contract duration

2 years with the possibility of extension

Contact person in line-management

For further information, please contact Prof. Sanja Lazarova-Molnar, email: sanja lazarova-molnar∂kit edu.


Please send CV, transcripts and a copy of your PhD thesis (draft is ok), names of two references and a motivation letter stating your research interests to sanja lazarova-molnar∂kit edu, subject: "PostDoc application TyRoN". Send all documents as a single PDF; give the PDF a name that includes your name. The positions are open until filled.

We prefer to balance the number of employees (f/m/d). Therefore, we kindly ask female applicants to apply for this job.

Recognized severely disabled persons will be preferred if they are equally qualified.


Wissenschaftliche(r) Assistent(in) / Projektleiter(in) / Habilitand(in)

Link PDF

keine Angabe


Sanja Lazarova-Molnar


Systems, Data, Simulation & Energy


20. Oktober 2023