The focus of the DLR Institute for Data Science in Jena is to find solutions for the major challenges of the digitalisation age. The research focuses on the areas of data extraction and mobilisation, data management and preparation, and data analysis and intelligence.

Within DLR's Quantumcomputing Initiative, the Institute of Data Science starts a cooperation project with industry to study the potential of hybrid Quantum-High-Performance-Computing for a selected industry-relevant use case. The concrete goal is to develop, apply und evaluate a hybrid algorithm that combines elements of classical high-performance-computing and machine learning with so-called "quantum machine learning" for the purpose of anomaly detection and in combination with causal inference. To this end, the project will also establish a hybrid computing infrastructure that combines classical computers with quantum computers or simulators.

For this project we are searching for a candidate with experience in quantum computing / quantum machine learning and machine learning. Considering the growing importance and enormous potential of quantum computing, this position offers an exceptional opportunity for qualification. In addition, the industry collaboration will give the opportunity to build a valuable network.

Your tasks include:

• literature review to follow the developments within the field of quantum machine learning
• analysis and assessment of existing algorithms for anomaly detection and causal inference with respect to how these can be extended to hybrid algorithms by combination with quantum machine learning
• development and implementation of respective hybrid algorithms
• application and systematic evaluation of the hybrid algorithms on telemetry data
• collaboration and coordination with other project members