€ 4200 per month
Your primary task as a postdoctoral researcher is to conduct research in quantum algorithms and quantum information. You are expected to take an active role in advancing the MQS group’s research projects.
Our recent work has focused on the theory and applications of quantum walk algorithms, variational quantum algorithms and their optimization, adiabatic quantum computation, and quantum machine learning. Theoretical and applied research into the capabilities of quantum computing and quantum advantage is a prospective topic across four application domains: bioinformatics, breeding, biomaterial synthesis, and cellulose‑processing enzyme design.
You will develop hybrid quantum‑classical algorithms to tackle domain‑specific, computationally demanding problems. Methods will be designed for near‑term (NISQ‑era) deployment, with models evaluated for expressivity, training stability, scalability, and resource requirements on representative problem sizes, and systematically benchmarked against fully classical baselines. In parallel, medium‑ to long‑term quantum algorithms will be explored to assess quantum readiness and to establish innovative methodologies relevant to each application field. The exact research topics can be tailored to your interests within the scope of our current projects.
Your goal is to produce world‑class research results, in collaboration with other group members in the lively environment of the MQS group, and to publish them in high‑impact journals.
In addition to research, you will also be expected to take part in the supervision of PhD students and the teaching activities of the research group.