- You will create and maintain evaluation environments for diverse use cases
- You help optimizing business and production processes
- You implement and compare state-of-the-art approaches for reinforcement learning
- You support in search and review of relevant literature
- You take part in public presentations and publications What you bring to the table
- You study computer science, engineering, physics, mathematics or a similar program
- You have some ML experience and already worked with ML frameworks (e.g. Pytorch)
- You are interested in deep reinforcement learning
- You ideally possess some experience in working with graph neural networks
- You are proficient in English and/or German What you can expect
- Flexible working hours
- Open and friendly teamwork
- Varied tasks with room for creativity
- Exciting seminars and events
- Networking with scientists
- Active contribution in applied research
- Interesting and innovative projects
- Mentoring program »josephine« for talented female students
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Student Assistants - Nürnberg, Deutschland - Fraunhofer-Institut für Integrierte Schaltungen IIS
Beschreibung
The Fraunhofer-Gesellschaft ) currently operates 76 institutes and research institutions throughout Germany and is the world's leading applied research organization. Around employees work with an annual research budget of 3 billion euros.
The »Self-Learning Systems« group at Fraunhofer IIS is part of the »Precise Positioning and Analytics« department and located at the institute's Nuremberg site. Our team members have diverse academic backgrounds from computer science and engineering to physics. We combine expertise in a range of advanced machine learning (ML) topics. One of our research goals is to provide robust and safe algorithmic solutions for control and decision-making tasks for systems in complex dynamic environments. To this end, we employ deep learning in combination with reinforcement-learning techniques. We research dependable reinforcement learning, i.e., we want to learn behaviors that are safe, performant, and explainable for many different tasks. There is a lot to learn and develop on the way and we are eager to hear about your ideas.
You are interested in making artificial intelligence useful for industrial application?
Then have a look at our offer
What you will doWeekly working hours are determined by agreement. You can start from now on (as a student assistant from 10 to 20 hours a week. You can reduce your hours before exams and increase them during semester breaks. You can flexibly determine the working days.
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.
Interested?
Apply online now (PDF: cover letter, CV, transcripts). We look forward to getting to know you
Fraunhofer-Institute for Integrated Circuits IIS
Nutzer der Berufsbezeichnung Student Assistants in Nürnberg
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Johannes Berner
Physiker mit Erfahrung in KI, Laser-/Messtechnik
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Nihar Patel
Master's Student