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!

Chalmers University of Technology invites applications for a postdoctoral position focused on developing generative models for molecular dynamics (MD). This role is based in the AI and Machine Learning in the Natural Sciences (AIMLeNS) lab, part of the Department of Computer Science and Engineering (CSE) at Chalmers/University of Gothenburg. The AIMLeNS lab is a collaborative, interdisciplinary team of computer scientists, chemists, physicists, and mathematicians, dedicated to advancing practical methods that integrate traditional scientific disciplines with modern machine learning and AI technologies. The successful candidate will lead research on AI surrogates for MD, aiming to dramatically reduce computational costs and enable new advances in drug discovery and materials science. The project builds on the group’s expertise in Boltzmann Generators, Surrogate-model Assisted Molecular Dynamics, and Implicit Transfer Operators. The postdoc will work closely with Associate Professor Dr. Simon Olsson and the AIMLeNS team, with opportunities to mentor PhD students, supervise MSc projects, and collaborate with a vibrant network of national and international partners. Applicants should have a recent doctoral degree (within three years of the deadline, with exceptions for leave), a strong quantitative background, and hands-on experience with modern generative models. The ability to lead complex research projects independently and excellent English communication skills are essential. Familiarity with molecular simulation methods, structural biology, biophysics, or chemistry will strengthen your application. Teaching experience is meritorious but not required. The position is a full-time, fully funded postdoctoral appointment for two years, with the possibility of a one-year extension. Chalmers offers a dynamic work environment in Gothenburg, access to state-of-the-art HPC facilities (BerzeLiUs, Alvis), and mentorship for career development. The university is committed to gender equality and diversity, with initiatives such as the GENIE project. Swedish language courses are available for non-native speakers. To apply, submit your application in English as PDF files via the provided application link. Include a comprehensive CV (with publication list and teaching experience), a personal letter (1–3 pages) outlining your background and research goals, and contact details for two references. The deadline for applications is February 8, 2026. For further information, contact Associate Professor Simon Olsson at [email protected].

Several PhD positions are open in the lab of Associate Professor Simon Olsson at Chalmers University of Technology, Sweden. The research focus is broadly on AI for Science, with a special preference for candidates who can complement the lab's current activities or are enthusiastic about contributing to ongoing work. The lab seeks technically strong, independent, and proactive individuals interested in advancing artificial intelligence and its applications in scientific research. Chalmers University of Technology is a leading institution in Sweden, known for its cutting-edge research in technology and science. Candidates are encouraged to review the lab's research areas and prepare an application that highlights their technical skills and research interests. For more information and to apply, visit the provided application link. No specific funding or eligibility details are mentioned in the announcement.