Postdoctoral researchers
Postdoctoral opportunities are available in AI-driven materials discovery, molecular simulation, density functional theory, and high-throughput screening. Applicants should hold a PhD degree in chemistry, chemical engineering, materials science, physics, computer science, or a related discipline. Candidates with independent research experience in digital MOF discovery, molecular simulation, or AI-assisted materials design are preferred, but this is not compulsory.
Prospective PhD students
Funded and self-funded PhD positions are available, depending on applicants’ qualifications. Students with backgrounds in chemistry, chemical engineering, materials science, physics, computer science, AI for science, or related fields are encouraged to apply. Applicants should normally hold, or expect to obtain, a Master’s degree or an upper second-class Bachelor’s degree with honours, or an equivalent qualification. Prior experience in molecular simulation, Python programming, machine learning, or porous materials is helpful but not required.
Prospective MPhil and MSc students
Students interested in pursuing MPhil or MSc research projects in AI for science, molecular simulation, computational chemistry, materials discovery, or porous materials are welcome to contact the group. Applicants should have a strong background in chemistry, chemical engineering, materials science, physics, computer science, or a related discipline. Prior experience in programming, molecular modeling, or machine learning is advantageous but not essential.
Undergraduate researchers
Undergraduate students interested in AI for science, molecular modeling, materials chemistry, and scientific programming are welcome to discuss possible research projects.
How to apply
Please send a CV, a brief research statement, transcripts for student applicants, names of referees, and representative publications for postdoctoral applicants.