Safe Intelligence - this forms the core brand of the Fraunhofer Institute for Cognitive Systems IKS. Connected cognitive systems drive innovation in many sectors, including mobility, healthcare, and automation in industry. Disruptive technologies such as artificial intelligence and quantum computing play a key role here. Fraunhofer IKS is conducting research to ensure that these applications are reliable and verifiably safe. We consider resilience and intelligence to be part of the same process.
What you will do
Reliably detecting persons is crucial for many applications and processes, like in self-driving cars or to prevent factory workers from being injured by heavy machines. While AI algorithms may achieve great accuracy in the detection of persons, it is necessary to understand, in which situations their performance degrades or completely fails, e.g. due to occlusion of pedestrians or lighting conditions.
In our group we offer a working student position / internship in the field of dependable person detection. Your task is to investigate, how reliably different object detection algorithms can recognize and locate persons. This will include studies on object tracking as well as on 3D object detection. You will implement currently available methods in this area, evaluate their performance and systematically study their dependability.
What you bring to the table
- Good programming skills in Python
- Knowledge in deep learning
- Experience with object detection algorithms, e.g. Yolo or Faster R-CNN
- Plus: first experience with object tracking or 3D object detection.
You study computer science, electrical engineering or a similar subject.
What you can expect
- Very nice supervisors, a good atmosphere and technical equipment (e.g. to work remote)
- A fair salary and the possibility to work flexible (up to 20h/week)
- Contributing to research of practical relevance for your studies at the university.
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!
Additional questions will be answered gladly by
Dr. Andrea Matic-Flierl, e-mail: [email protected]
If you got further questions, please contact our colleagues from HR via eMail: [email protected]
Fraunhofer Institute for Cognitive Systems IKS
www.iks.fraunhofer.de
Requisition Number: 72565 Application Deadline:
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