Practical trainings, student assistants and theses
| Offer | All | Compulsory internship | Student practical training | Bachelor theses | Master theses | Diploma theses | Student Assistant | | Volunteer internship |
|---|---|
| Institute/ Dep. | | FSMT | FWGP-I | FWGR | FWGR-H | FWGT-P | FWIO-T | FWPC | FWU-Q |
| Formatting | Table | |
Development of novel numerical methods for strongly correlated quantum many-body systems (Id 494)
Bachelor theses / Master theses / Student Assistant / Research Assistant
- Work inside an existing project for investigating and simulating strongly correlated quantum systems.
- Extend an already established method based on tensor networks to other fermonic and spin systems.
- Perform your own numerical calculations and evaluate the resulting data.
- Summarize the results and publish them in a paper and/or present them at a conference.
Department: AI4Quantum – Machine Learning for Quantum Simulation and Computing
Contact: Dobrautz, Werner
Requirements
- Enrolment in physics, chemistry, computer science or a related field
- Interest, enthusiasm and ability to work independently and systematically
- Basic programming skills in Python and first experiences in HPC computing
- Knowledge of the basics of quantum physics and numerical methods
- First experiences in quantum many-body physics and numerical methods for quantum many-body physics desirable
Conditions
- Working in an international team
- Compensation as a student research assistant (working hours to be agreed)
- Remote work possible; occasional on-site work would be beneficial
- Supervision within an interdisciplinary early-career research group
- Flexible starting date by agreement
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