Master Thesis in Quantum-Assisted Optimization

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

Quantum computing is an emerging technology with potentially significant impacts on numerous industrial sectors. At Fraunhofer IKS, we engage in a variety of projects aimed at developing robust and reliable applications of quantum computing ( link ). Our expertise comprises various aspects of quantum computing, from quantum chemistry and optimization to machine learning (ML).

With our activities in quantum-assisted optimization, we are exploring which methods are suitable under which conditions to solve combinatorial optimization problems better than purely classical methods. Possible topics for a master's thesis include, for example, distinguishing between hard and easy problem instances based on their graph structure, efficiently solving problems in HOBO ("higher order binary optimization") formulations, or exploring Grover-inspired algorithms and Quantum Imaginary Time Evolution.

What you bring to the table

• Experience with Python programming
• Experience in programming quantum algorithms with Qiskit, Pennylane, or similar
• Prior knowledge of Linux OS and Git is advantageous
• Particularly suitable for M.Sc. QST, M.Sc. Computer Science, M.Sc. Physics, or similar courses.

What you can expect

• Nice supervisor, friendly atmosphere
• Hybrid and flexible working style (not a purely remote position)
• Participation in a dynamic team with innovative areas of responsibility
• Practical approach for your studies.

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!

Technical questions are gladly answered by Benedikt Poggel ([email protected]).
For any other questions, please contact our colleagues in the HR department by mail: [email protected]

Fraunhofer Institute for Cognitive Systems IKS

Requisition Number: 80007Application Deadline: