Student assistant in the field of Sensor Data Fusion and Artificial

The Fraunhofer Application Center “Connected Mobility and Infrastructure” focuses on current and future topics of automated and cooperative driving. Diverse competences in the fields of sensor technology, communication and artificial intelligence are combined, fostering synergies with the local industry and aiming for close cooperation with the city of Ingolstadt and its partners. With research on urban air mobility, the application center is opening up further fields of technology in the areas of autonomous systems, digitization in traffic, and vehicle and traffic safety. For our 5GoIng project we are looking for excellent students who would like to write their thesis or complete an internship in the field of sensor data fusion and artificial intelligence. The “Erste Meile” test bed, which is equipped with the latest sensors (camera and LiDAR sensors), is available for the work.

What you will do

Development of algorithms for 3D multi-object tracking based on heterogeneous sensor data fusion (standard and/or AI-based approaches), including the integration of concepts such as reinforcement learning and multi-agent reinforcement learning

Further development and use of virtual test environments — digital twin of the “First Mile” test field in the CARLA simulation environment

simulative generation of a data set for training AI algorithms

Research in the field of view synthesis with transformer models and 4D reconstruction in combination with Gaussian splatting

Synthesis of new, photorealistic images with object manipulation for dataset generation using state-of-the-art view synthesis methods, based on multi-view sensor perspectives of the “First Mile” test field

validation of the developed algorithms and execution of tests on the test bed “Erste Meile”

What you bring to the table

student in Computer or Data Science, Mechanical Engineering, Mathematics, Physics, Electrical and Information Engineering, ora related field

very good programming skills in Python

interest in topics of artificial intelligence

experience with frameworks such as ROS and PyTorch/TensorFlow

structured, self-dependent and result-oriented way of working

ambition, creativity and commitment in the daily work routine

high motivation and ability to work in a team

What you can expect

challenging tasks in cutting-edge and application-relevant subject areas

interdisciplinary research on promising technologies

adequate remuneration and flexible working hours

a modern research infrastructure

a young, dynamic team in an open and friendly working environment

The weekly working time is 39 hours. This position is also available on a part-time basis. We value and promote the diversity of our employees' skills and therefore welcome all applications - regardless of age, gender, nationality, ethnic and social origin, religion, ideology, disability, sexual orientation and identity. Severely disabled persons are given preference in the event of equal suitability. Remuneration according to the general works agreement for employing assistant staff.

With its focus on developing key technologies that are vital for the future and enabling the commercial utilization of this work by business and industry, Fraunhofer plays a central role in the innovation process. As a pioneer and catalyst for groundbreaking developments and scientific excellence, Fraunhofer helps shape society now and in the future.

Interested? Apply online now. We look forward to getting to know you!

If you have any questions, please contact:

Maximilian Bialdyga

Phone +49 (

Fraunhofer-Institut für Verkehrs- und Infrastruktursysteme IVI

Fraunhofer Application Center “Connected Mobility and Infrastructure”

Quartier G Gebäude K

Schloßlände 27

85051 Ingolstadt

Fraunhofer Institute for Transportation and Infrastructure Systems IVI

Requisition Number: 80988