CoBAI Lab is being established at Shenzhen University of Advanced Technology (SUAT) and is expected to begin its work in Winter 2026/Spring 2027. The group will combine molecular simulations, synthetic biology, theoretical modeling, and artificial intelligence (AI) to understand and engineer biomolecular systems, with particular interests in nucleic acids, biomolecular dynamics, and AI-driven molecular designs.
While formal vacancies and start dates are still being finalized, we welcome early enquiries from prospective:
Applicants from chemistry, physics, computational biology, bioinformatics, computer science, applied mathematics, and related disciplines are encouraged to get in touch. Prior experience in molecular simulation, machine learning, nucleic-acid research, or scientific programming is helpful but not required for every position.
Interested candidates can email at hww5128[at]gmail.com with a CV, a brief statement of research interests, academic transcripts (for student applicants), and 1-2 representative papers/preprints/project examples (if available). Applicants can generally expect a response within 1-2 weeks.
Email subject line format:
PhD applicants:[CoBAI PhD Application] Your Name | Current Institution
Research Assistants (RA):[CoBAI RA Application] Your Name | Current Institution | Expected Duration (X months)
Postdoctoral applicants:[CoBAI Postdoc Application] Your Name | Current Institution | Preferred Start Date
Research Assistant Professor (RAP) applicants:[CoBAI RAP Application] Your Name | Current Institution | Preferred Start Date
Early enquiries are welcome. Specific openings, eligibility requirements, application procedures, and anticipated start dates will be posted here once the institutional recruitment arrangements are finalized.
We aim to build an interdisciplinary, collaborative, and supportive research environment. Group members will be encouraged to develop strong foundations in molecular science, computation, and artificial intelligence while pursuing independent ideas and working across disciplinary boundaries.