Research Assistant Professor in Computational Condensed Matter Physics

Updated: almost 2 years ago
Job Type: FullTime
Deadline: 01 Dec 2022

Work type: Full-time
Department: Department of Physics (25600)
Categories: Academic-related Staff

Applications are invited for appointment as Research Assistant Professor in Computational Condensed Matter Physics in the Department of Physics (Ref.: 512689), to commence as soon as possible for two years, with the possibility of renewal.

Applicants should possess a Ph.D. degree in Condensed Matter Physics and have previous experience as Post-doctoral Fellow in related research fields for two years. Experience in numerical techniques, algorithm developments and field-theoretical approaches is desirable. The appointee will work with Dr. Zi Yang Meng to conduct research on computational condensed matter physics. Areas of research include quantum Monte Carlo methods, density matrix renormalization group and tensor network states, and artificial intelligence and neural networks, with particular focus on applying these numerical approaches to quantum many-body systems, such as correlated 2D materials, quantum Moire systems, frustrated magnets, constrained and highly entangled systems, topological order, quantum phase transitions, etc. The recent works of Dr. Meng and the group can be found at https://quantummc.xyz/ .

A highly competitive salary commensurate with qualifications and experience will be offered, in addition to annual leave and medical benefits. At current rates, salaries tax does not exceed 15% of gross income. 

The University only accepts online application for the above post. Applicants should apply online at the University’s careers site (http://jobs.hku.hk ) and upload an up-to-date C.V., a cover letter with a publication list and a research statement. Applicants should also arrange three reference letters to be sent to Dr. Zi Yang Meng at [email protected] directly by the referees.  Review of applications will start as soon as possible and continue until Dec 1, 2022 .



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