Petros Koumoutsakos

The Computational Science and Engineering Laboratory at Harvard University is offering a postdoctoral position focused on the intersection of scientific computing and artificial intelligence, with applications in fluid mechanics, particularly turbulent and environmental flows. The position is based in the Harvard John A. Paulson School of Engineering and Applied Sciences, Department of Applied Math. The successful candidate will work closely with Professor Petros Koumoutsakos and join a highly collaborative and international research environment. The appointment begins September 1, 2025, or as soon thereafter as possible, and is for one year with the possibility of renewal for up to two additional years. The research will involve advanced computational methods, including reduced order modeling, causal inference, high performance computing, multi-scale modeling, evolutionary computation, diffusion models, and reinforcement learning. Applicants should hold a doctoral degree in a relevant field such as Computational Science, Computer Science, Applied Mathematics, Engineering, or Physics. Candidates with expertise or interest in the listed computational areas are especially encouraged to apply. The position offers a competitive salary range of $67,600 to $91,826 per year, with the final amount dependent on experience, qualifications, and accomplishments. Applicants should prepare 2–4 references and can contact Professor Petros Koumoutsakos for further information. This opportunity is ideal for researchers seeking to advance the application of AI in engineering and environmental sciences within a leading academic institution.

The Computational Science and Engineering Laboratory at Harvard University is offering a postdoctoral position focused on the intersection of scientific computing and artificial intelligence, with applications in fluid mechanics, particularly turbulent and environmental flows. The position is based at the Harvard John A. Paulson School of Engineering and Applied Sciences, within the Applied Math department. The successful candidate will work closely with Professor Petros Koumoutsakos and join a highly collaborative and international research environment. The appointment begins September 1, 2025, or as soon thereafter as possible, and is for one year with the possibility of renewal for up to two additional years. Applicants should hold a doctoral degree in Computational Science, Computer Science, Applied Mathematics, Engineering, or Physics. Desired expertise includes reduced order modeling, causal inference, high performance computing, multi-scale modeling, evolutionary computation, diffusion models, and reinforcement learning. The position offers the opportunity to contribute to cutting-edge research at the interface of AI and engineering, leveraging advanced computational methods to address complex problems in fluid dynamics. Candidates are expected to provide at least two references (up to four allowed) and demonstrate the ability to work effectively in a diverse and international team. Harvard University is committed to equal opportunity and non-discrimination, welcoming applicants from all backgrounds. For further information, candidates are encouraged to contact the laboratory via the provided email or visit the lab website.