Data Driven Operations Management project aims at studying the usage of data in making efficient operations management decisions. The tools used mainly include optimization, stochastic modeling, stochastic/robust optimization, and the application areas include revenue management and pricing, service operations management. The PI for this lab is Dr. Zizhuo Wang, who is currently an Associate Professor at the School of Data Science. He is also the Assistant Dean for the School of Data Science.
Post Doc Fellow
Applicants should have:
1.Ph.D. degree in a field related to Operations Research/Industrial Engineering.
2.Familiar with optimization and stochastic modeling method and tools.
3.Proficient in programming skills.
Job Duties include:
Conduct frontier research in data-driven operations management.
Salary and Fringe Benefits
Salary will be comparable to international standards, commensurate with experience and accomplishments. Appointments will be made under the establishment of CUHK-Shenzhen, and employee benefits will be provided according to the relevant labor laws of Mainland China as well as CUHK-Shenzhen regulations.
Please prepare for CV in English, and two referees’ contact information, and send to email@example.com.
Review of applications/nominations will begin immediately and will continue until the post is filled.