At the Fraunhofer Application Center “Connected Mobility and Infrastructure” in Ingolstadt, our research team specializes in using machine learning and computer vision to transform the field of highly automated flying systems.
What you will do
In the context of a Bachelor or Master thesis, you can contribute your competences to our projects and support us in the fields of Urban Air Mobility, autonomous mobility, sensor data fusion as well as Artificial Intelligence and simulation in the following tasks:
* conduct literature study to identify research gaps and possibilities in the chosen research topic(s)
* design and implement algorithms, conduct tests, and gather data
* validate and refine research with team members and external partners
What you bring to the table
* enrolled in a Master’s or Bachelor’s program in Computer or Data Science, Mathematics, Physics, Electrical and Information Engineering, Mechanical Engineering or a related field
* excellent academic performance
* prior research experience or coursework in machine learning, computer vision or robotics highly desirable
* proficiency in programming languages such as Python and experience with deep learning frameworks (e. g., PyTorch)
* passion for research and problem-solving
* structured, self-dependent and result-oriented way of working
* excellent communication skills and ability to work collaboratively in a team
What you can expect
* challenging tasks in cutting-edge and application-relevant subject areas
* interdisciplinary research on promising technologies
* access to state-of-the-art computational resources and modern infrastructure
* professional supervision
* flexible working hours
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: personal.studenten.ing@ivi.fraunhofer.de
You can find more information on the institute online: www.ivi.fraunhofer.de/en
Fraunhofer Institute for Transportation and Infrastructure Systems IVI
www.ivi.fraunhofer.de
Requisition Number: IVI-Hiwi-00747