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Postdoctoral researcher in quantum algorithms and optimization for Life Science applications
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Postdoctoral researcher in quantum algorithms and optimization for Life Science applications

Application deadline: Monday, August 31, 2026Research group: Micro and Quantum Systems research group (Aalto University)Employer web page: https://www.aalto.fi/en/open-positions/postdoctoral-researcher-in-quantum-algori...Job type: PostDocTags: quantum computingquantum algorithmsmaterial scienceWe are now looking for a postdoctoral researcher in quantum algorithms and optimization for Life Science applications. Are you as excited about quantum technology and its future applications as we are? We are seeking a postdoctoral researcher to join the Micro and Quantum Systems (MQS) research group in the Department of Electronics and Nanoengineering at Aalto University. MQS currently comprises more than 18 members and is expanding. We are advancing foundational topics in quantum computing and their practical applications. In this position, you will work at the intersection of quantum computing, computational biology, genomics, and materials science. You will have the opportunity to delve deeply into quantum computing and contribute to high-quality research with real-world impact. Join us in shaping the future! Your role and goals 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

Jul 2, 2026

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