Doctoral student in Quantum Machine Learning for the Life Sciences
Chalmers University of Technology invites applications for a fully funded doctoral student position in Quantum Machine Learning for the Life Sciences. This opportunity is based within the Wallenberg Centre for Quantum Technology (WACQT), a major research initiative aiming to advance Sweden's position in quantum technology. As a member of the WACQT graduate school, you will join a vibrant research community, gain access to state-of-the-art quantum computers, and build a national network in quantum technology.
The Department of Microtechnology and Nanoscience at Chalmers is renowned for its cross-disciplinary research in quantum technology, nanoscience, photonics, and future electronic systems. The Applied Quantum Physics Laboratory specializes in theoretical modeling for condensed matter physics and quantum information, pushing the boundaries of solid-state physics, developing novel low-dimensional materials, and advancing quantum technologies through quantum computer modeling and algorithm development. The division fosters a diverse and inclusive environment, with a strong gender balance and a culture of innovation.
The research project focuses on developing and testing novel quantum algorithms for applications in the life sciences. Quantum computers have shown promise in machine learning tasks, particularly with small datasets, which are common in life science research. You will have access to such datasets through a collaboration with Brigham and Women's Hospital at Harvard and will be able to test your algorithms on advanced quantum computers provided by WACQT.
Applicants must hold a Master's degree (masterexamen) of 120 credits or a Master's degree (magisterexamen) of 60 credits in physics, computer science, applied mathematics, computational biology, bioinformatics, or a closely related field. For candidates educated outside Sweden, a 4-year Bachelor's degree is accepted. Strong written and verbal communication skills in English are required. Experience in machine learning, quantum computing, or computational biology is advantageous but not mandatory. Programming skills or software development experience are beneficial. Chalmers welcomes applications from candidates of all backgrounds, including those traditionally underrepresented in science and engineering. Physical presence in Sweden is required throughout the study period, and a valid residence permit must be presented by the start date.
The position is fully funded from the start, with a starting salary of 34,550 SEK per month (valid from May 25, 2025). The appointment is fixed-term for four years, with the possibility to teach up to 20% and extend the position to five years. As a doctoral student at Chalmers, you are an employee and enjoy comprehensive benefits, including access to world-class facilities, generous parental leave, subsidized day care, free schools, and healthcare. Chalmers is committed to gender equality and diversity, actively supporting initiatives such as the GENIE Initiative for gender equality and excellence. Swedish language courses are available for non-native speakers.
To apply, submit your application in English as PDF files via the online application form. Required documents include your CV, personal letter, motivation, and relevant transcripts and theses. Incomplete applications and applications sent by email will not be considered. Contact details to references will be requested after the interview. The application deadline is 31 May 2026.
For further information, contact Full Professor Göran Johansson ([email protected]) or Researcher Laura García-Álvarez ([email protected]). Join Chalmers University of Technology in Gothenburg and contribute to cutting-edge research in quantum machine learning for the life sciences.
