Yihang Wang

Pratyush Tiwary at the University of Maryland is advertising research openings at the interface of Chemistry , Biology , and Artificial Intelligence . The group works on statistical mechanics, information theory, machine learning, molecular dynamics, diffusion models, representation learning, RNA structure prediction, protein conformational prediction, and related problems in complex molecular systems. Open positions: the group states that it is looking for one or more postdocs and is also accepting multiple first-year PhD students for rotation in fall 2026 and 2027, with one new student position available for PhD. The post also points to additional PhD opportunities at other universities, including Case Western Reserve University and the University of Notre Dame, where related PIs are hiring. PhD application route: applicants should apply to one of the relevant University of Maryland graduate programs, including Biophysics, Chemical Physics, Chemistry and Biochemistry, Physics, or Applied Math and Scientific Computing. Admission decisions are made at the program level, and admitted students can then rotate with the group to assess fit. Eligibility highlights: candidates should be well grounded in at least one relevant area such as physical chemistry, biochemistry, biophysics, physics, mathematics, or computing, and should be eager to learn across disciplines. For the rotation-based PhD opportunity, the group asks for strong performance in Calc3 (MATH241) and Pchem1 (CHEM481) or equivalent courses, plus programming experience in C, C++, Python, or a similar language. Funding: the post does not specify stipend or tuition details. It is presented as an academic hiring/recruitment announcement rather than a scholarship call. How to apply: apply to the appropriate graduate program at the University of Maryland, then email the professor after receiving an admission offer. For postdoc interest, consult the group page and contact the lab directly. The post also suggests that applicants to external universities should apply to the school/program and mention the PI fit in their statement of purpose. Research areas / keywords: chemistry, biology, AI, machine learning, theoretical chemistry, biophysics, chemical physics, physics, applied mathematics, statistical mechanics, information theory, molecular modeling, RNA, proteins, and representation learning.