Postdoctorate Fellowships in Machine Learning or Quantum Computing

Postdoctorate Fellowships in Machine Learning or Quantum Computing Join to apply for the Postdoctorate Fellowships in Machine Learning or Quantum Computing role at Department of Pharmacy, University of Copenhagen . Multi‑Modal Representation Learning (Design of Sustainable Food Processing) The project is part of the larger research initiative “AI4NaturalFood”, in collaboration with the Department of Food Science, and is financed by the Novo Nordisk Foundation. Start date is 1 March 2026 or as soon as possible thereafter. The project focuses on developing machine learning methods to help design sustainable food processing technology and to guide experimental data generation. Develop machine learning methods for representation learning that map the space of food ingredients and functional properties. Create methods for active learning that process data collected by other team members and steer further data collection. Participate in a large multidisciplinary team of postdocs and PhD students. Coordinate part of the larger project together with the principal investigators. Co‑supervise PhD students within the larger project, together with the principals. Write scientific papers aimed at high‑impact journals. A PhD degree in a relevant field (machine learning or equivalent computer sciences). Experience in machine learning with a focus on representation learning. Experience in the food sector, especially in food processing, would be a plus. An inquisitive mind‑set with a strong interest in exploring new ways of experimentation and a willingness to work with people of different scientific backgrounds. Good language skills in English; familiarity with Danish is not required but a plus. Quantum and Tensor Network Algorithms One or several postdoctoral positions are offered within the topics of quantum algorithms, tensor network algorithms, and quantum error correction. The group collaborates closely with the Niels Bohr Institute and the Novo Nordisk Center for Quantum Computing. Develop a research portfolio on topics adjacent to the group and contribute to existing PhD projects. Contribute to open source scientific software projects, typically involving tensor network methods. Coordinate workshops and seminars together with the principal investigator. Co‑supervise PhD students within the larger project, together with the principals. Write scientific papers aimed at high‑impact journals. A PhD degree in a relevant field (theoretical computer science, physics, mathematics or related fields). Experience in tensor network methods, quantum algorithms, or quantum error correction. Good language skills in English; familiarity with Danish is not required but a plus. An inquisitive mind‑set with a strong interest in exploring new ways of experimentation and a willingness to work with people of different scientific backgrounds. Responsible Machine Learning The hired candidate will lead independent research in responsible machine learning and collaborate with other members of the research group “Foundations of Responsible Machine Learning”, led by Amartya Sanyal in the Department of Computer Science. Conduct research, including publication duties at top‑tier conferences such as NeurIPS, ICML, ICLR, COLT, ALT, FORC, STOC, FOCS, AISTATS, etc. Engage in research‑based teaching. Share knowledge with society. PhD in Computer Science, mathematics, or statistics. Highly experienced in theoretical topics within machine learning. Active interest in responsible machine learning. Proficient communication skills and ability to work in teams. Excellent written and spoken English skills. Application Deadline: 15 January 2025 (for the Multi‑Modal and Quantum positions) and 15 January 2026 (for the Responsible Machine Learning position). Employment Start: 1 March 2026 (multi‑modal), early 2026 (quantum), or 1 October 2025 (assistant professor) as specified. Important: When applying, please indicate the principal supervisor (Christian Igel for Position 1, Michael Kastoryano for Position 2, or Amartya Sanyal for Project 3) in the application to ensure your submission is reviewed. The University of Copenhagen wishes to reflect the surrounding community and invites all regardless of personal background to apply for the position. Contact supervisors: Remko Boom – Christian Igel – Raghavendra Selvan – Michael Kastoryano – Amartya Sanyal – APPLY NOW #J-18808-Ljbffr