BACHELOR OR MASTER THESIS ON MACHINE LEARNING IN THE FIELD OF AUTONOMOUS FLYING IN INGOLSTADT
The Fraunhofer Application Center “Connected Mobility and Infrastructure” at Technische Hochschule – adversarial feature / data augmentation: Using adversarial augmentations to improve the
Ingolstadt (THI) 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 further fields of
technology in the areas of autonomous systems, digitization in traffic, highly automated flying, as well as
vehicle and traffic safety.
Our research team specializes in using machine learning and computer vision to transform the field of
highly automated flying systems. We provide a stimulating environment, as well as access to modern
facilities. We are searching for a highly motivated master’s/bachelor’s student to join our team and conduct
significant research in one or more of the areas listed below:
generalization, resilience, and adaptability of machine learning models
– multi-task learning: Developing a common backbone/feature extractor design that can accomplish
numerous tasks at once, such as object detection, scene parsing, depth estimation for autonomous
flying
– transfer learning / knowledge distillation: Investigating strategies for enhancing model efficiency by
transferring the knowledge gained from large models to smaller models that can be deployed under
real-world constraints
– panoptic segmentation: Fine tuning models for 2D / 3D panoptic segmentation based on camera
images / point cloud for autonomous flying
Was Du bei uns tust
– 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
Was Du mitbringst
– enrolled in a Master’s or Bachelor’s program in computer science, electrical engineering, physics, computer science, mathematics, mechanical engineering or related fields
– 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
– excellent communication skills and ability to work collaboratively in a team
Was Du erwarten kannst
– opportunity to work in the field of machine learning and neural networks Fraunhofer is Europe’s largest application-oriented research organization. Our research efforts are geared entirely to people’s needs: health, security, communication, energy and the environment. We are creative. We shape technology. We design products. We improve methods and techniques. We open up new vistas. and concepts in the fields of mobility, energy and security from forward-looking research to practical application. The institute cooperates closely with TU Dresden, TU Bergakademie Freiberg and TH Ingolstadt.
– access to state-of-the-art computational resources and modern infrastructure
– valuable research experience and exposure to real-world practical projects
– flexible working hours.
– potential for co-authorship on research papers and conference presentations
At its three locations Dresden, Ingolstadt and Berlin, Fraunhofer IVI’s researchers develop technologies
Wir wertschätzen und fördern die Vielfalt der Kompetenzen unserer Mitarbeitenden und begrüßen daher alle Bewerbungen – unabhängig von Alter, Geschlecht, Nationalität, ethnischer und sozialer Herkunft, Religion, Weltanschauung, Behinderung sowie sexueller Orientierung und Identität. Schwerbehinderte Menschen werden bei gleicher Eignung bevorzugt eingestellt.
Die wöchentliche Arbeitszeit beträgt 39 Stunden. Die Stelle kann auch in Teilzeit besetzt werden.
Mit ihrer Fokussierung auf zukunftsrelevante Schlüsseltechnologien sowie auf die Verwertung der Ergebnisse in Wirtschaft und Industrie spielt die Fraunhofer-Gesellschaft eine zentrale Rolle im Innovationsprozess. Als Wegweiser und Impulsgeber für innovative Entwicklungen und wissenschaftliche Exzellenz wirkt sie mit an der Gestaltung unserer Gesellschaft und unserer Zukunft.
Haben wir Dein Interesse geweckt? Dann bewirb Dich jetzt online mit Deinen aussagekräftigen Bewerbungsunterlagen. Wir freuen uns darauf, Dich kennenzulernen!
If you have any questions, please contact:
Harisankar Babu
harisankar.babu@ivi.fraunhofer.de
Phone: +49 (0) 152 265 492 37
Fraunhofer Application Center “Connected Mobility and Infrastructure”
Visiting address
Stauffenbergstrasse 2a
85051 Ingolstadt
Postal address
Technische Hochschule Ingolstadt
Esplanade 10
85049 Ingolstadt
Please state the requisition number: IVI-Hiwi-00715
www.ivi.fraunhofer.de/en
Career Portal
Fraunhofer-Institut für Verkehrs- und Infrastruktursysteme IVI
Kennziffer: 69311 Bewerbungsfrist:
Stellensegment:
Computer Science, Electrical Engineering, Physics, Mechanical Engineer, Technology, Research, Engineering, Science