The GWDG is seeking a
Student Assistant (m/f/d) for Quantum Computing
to join an interdisciplinary team of HPC experts in the working group “Computing” (AG C) with a regular working week of 40 or 80 hours per month. Remuneration is in accordance with the regulations for student and scientific assistants. The position is initially limited to the first six months after starting, with the possibility of extension. The applicant is expected to aid in developing GWDG’s QC ecosystem (see responsibilities listed below). This will involve coding in Python. GWDG handles sensitive data, and in such cases, it is important that the code is human-verified for any security concerns. The applicant must demonstrate the ability to do such a verification without AI assistance in the interview.
The Gesellschaft für wissenschaftliche Datenverarbeitung mbH Göttingen (GWDG) is the university computing center for the Georg-August-Universität Göttingen and a computing and IT competence center for the Max Planck Society. The provision of high-performance HPC systems has been one of its tasks for over 40 years. In 2020, the University of Göttingen / GWDG was accepted as one of eight computing centers (NHR-Nord@Göttingen) in the National High-Performance Computing (NHR) network. The GWDG also operates the national AI service center KISSKI and is a partner in the EU AI Factory HammerHAI. Furthermore, GWDG operates HPC resources for the German Aerospace Center (DLR). As a national supercomputing center, the GWDG provides technical support to researchers and students from various scientific domains, including digital humanities, life science, earth system science, and engineering. We also participate in both national and international research projects.
To add a new chapter to our commitment to providing innovative technical services, we are looking for a highly motivated candidate to be part of the QUICS (Quantum Innovation and Computing for SME) project. QUICS aims to provide low-threshold, secure, and reliable access to quantum resources for SMEs via an online portal. In addition to providing access, the goal is also to support companies in identifying and implementing meaningful use cases for quantum computing. Therefore, the successful candidate should have prior experience with using quantum technologies to solve problems from different domains, experience with different quantum backends, and using quantum simulators.
The GWDG together with the Faculty of Mathematics and Computer Science and the Campus Institute Data Science (CIDAS) of the University of Göttingen provides a stimulating research environment in Scientific Computing, with an opportunity to conduct research in the intersection of applied computer science, High-Performance Computing, Quantum Computing, and AI.
Responsibilities
Developing GWDG´s QC:
- Use case demonstrator Jupyter notebooks
- Documentation (surveying current quantum hardware data and writing blogs on use cases)
- Digital twins
- Training platforms
- Cloud services
- Benchmarks for current algorithms
Requirements
- Essential ability to code in Python without AI assistance
- Essential coding knowledge: scope, functions, variables, classes, array methods, etc.
- Essential linear algebra knowledge: matrix dia onalization and exponentiation
- Basic quantum physics knowledge: postulates and time evolution
- BSc/MSc enrolled student during the position period
- Excellent teamwork and communication skills
- Fluent English (spoken and written)
Do you fit all the above requirements? Then we welcome your application!
Desirable
- Knowledge in QC (quantum computing)
- Knowledge in GPU-parallelization
- Knowledge in writing bash scripts for HPC jobs
- German B2 or higher
- Experience with platform development, especially using Django
Our offer
- Flexible working hours and opportunity for partial mobile working
- A modern, diverse work environment at the intersection between academia and industry
- An interesting, versatile job in a large, internationally operating IT competence center
- Qualification and further development of your skills
- Social benefits of the public sector