Student Assistants
vor 2 Monaten
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.
**What you will do**
- You work on topics related to quantum circuit compilation
- You will update our literature overview on the state of the art in both RL-based quantum circuit compilation and LLMs and translations as applied to quantum computing
- You operate quantum computing frameworks like Qiskit
- You use existing and emerging quantum hardware in the Munich Quantum Valley
**What you bring to the table**
- You study in a physics, mathematics or computer science program
- You are familiar with at least one of these topics: auto-encoders, transformers, reinforcement learning or graph neural networks
- You have first experience in python programming and libraries like PyTorch, TensorFlow, NumPy and PyTorch geometric
- You are familiar with the topic of quantum computing and have experience with libraries like Qiskit
- You speak English fluently
**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
Weekly working hours are determined by agreement. You can start from now on (as a student assistant from **10** to **15 **hours a week). You can reduce your hours before exams and increase them during semester breaks. You can flexibly determine the working days.
**Haben wir Dein Interesse geweckt?**
**Interested?**
Fraunhofer-Institute for Integrated Circuits IIS
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