Doctoral students in AI for Science Chalmers University of Technology in Sweden

Chalmers University of Technology invites applications for up to three fully funded doctoral positions in the Artificial Intelligence and Machine Learning for the Natural Sciences (AIMLeNS) group. The AIMLeNS group, led by Associate Professor Simon Olsson, is an interdisciplinary team focused on advancing AI and machine learning methods for molecular simulations and inverse molecular design. The research aims to accelerate scientific discovery in therapeutics and materials by developing generative AI systems that maintain physical fidelity while overcoming the limitations of traditional numerical methods and iterative experiments.

The Department of Computer Science and Engineering, a joint department of Chalmers and the University of Gothenburg, offers a vibrant research environment with strong industry links and a diverse, collaborative culture. The division of Data Science and AI develops data-driven methods and AI solutions for intelligent decision-making across society, with a particular emphasis on foundational and applied machine learning. AIMLeNS is at the forefront of this dynamic field, regularly publishing in top-tier journals and conferences such as Science, Nature, NeurIPS, ICML, and ICLR. The group benefits from priority access to national GPU resources, including Alvis and Berzelius, and the PI is recognized with prestigious awards such as the ICTP-IBM AI Prize and an ERC Consolidator grant.

Doctoral students will integrate into the AIMLeNS group, contributing to a highly collaborative research environment where methodological breakthroughs are shared and collective synergy is valued. The project focuses on generative AI for molecular simulations and inverse design, aiming to shorten the hypothesis-experiment-insight cycle and drive rapid discovery of novel therapeutics and materials. Students will take advanced courses within the Graduate School of Computer Science and Engineering, pursue independent research projects, develop scientific concepts, and communicate their results. The position also includes teaching or other duties corresponding to 20% of working hours.

Applicants must hold a Master's degree (120 credits) or a Master's degree (60 credits) in any quantitative discipline, or a 4-year Bachelor's degree if earned outside Sweden. Strong written and verbal communication skills in English and demonstrable experience with modern machine learning are mandatory. Personal competences such as collaborative skills are expected. Experience in machine learning, computer science, mathematics (probability theory, functional analysis, dynamical systems, linear algebra), physics (statistical mechanics, computational, biological), and contributions to machine learning projects or free software will strengthen the application. Physical presence in Sweden is required throughout the study period, and a valid residence permit must be presented by the start date.

The doctoral positions are fully funded for five years, with a starting salary of 34,550 SEK per month (valid from May 25, 2025). As a doctoral student at Chalmers, you are an employee and enjoy all employee benefits, including access to a dynamic working environment in Gothenburg, generous parental leave, subsidized day care, free schools, and healthcare. Chalmers is committed to gender balance, equality, and inclusion, offering Swedish courses for non-native speakers and supporting diversity through initiatives like GENIE.

To apply, prepare your application in English and attach PDF files including your CV, personal letter, motivation, thesis, and transcripts. Use the online application form via the provided link. Incomplete or emailed applications will not be considered. References will be requested after the interview. The application deadline is 28 February, 2026.

For questions, contact Associate Professor Simon Olsson at [email protected]. We look forward to your application!