职位名称:Research Associate (Operations Management and Information Systems)
职位类型:高级研究人员(正/副研究员)
工作地点:广东深圳
招聘人数: 若干
报名方式:站内投递
截止时间:2023-04-30
用人部门:香港中文大学(深圳)
其他要求
学历要求:本科
需求专业:
理论经济学,,应用经济学,,数学,,统计学,,计算机科学与技术,,管理科学与工程
该需求专业仅展示一级学科
岗位职责
1. Providing research assistance to professors, including collecting data, analyzing data, and building mathematical models in the area of operations management/business analytics/ information systems;2. Replicating research papers assigned by the supervisor;3. Assisting in tutorials for undergraduate courses;4. Preparation of teaching materials/classes;5. Student consultation/supervision and coordinating student academic activities;6. Undertaking other assignments assigned by the supervisor.The job will provide employees decent training in research and teaching. In general, we expect 50% work related to research assistance and 50% related to teaching assistance. Employees will have the opportunity to work closely with our world-class faculty members and build up academic connections. Therefore, we especially welcome applicants who want to pursue a teaching career or apply for a PhD program.
任职要求
Salary and Benefits Salary will be competitive, commensurate with qualifications and experience. Appointments will be made under the establishment of CUHK-SZ and statutory benefits will be provided according to the prevailing labor laws applicable in the PRC. The appointee will be based at the University campus in Shenzhen, PRC.
Application Procedure Please send full curriculum vitae together with copies of qualification documents, and up to three references (optional for initial screening) by email to the specified mailbox. 【快捷投递:点击下方“立即投递/投递简历”,即刻进行职位报名】
其他说明
1. A bachelor’s or higher degree in operations management, information systems, economics, statistics, mathematics, industrial engineering, operations research, computer science, or any other related field; 2. Good communication skills; 3. Fluent English, both written and spoken; 4. The ability of working independently, as well as the spirit of team work; 5. Preferably the knowledge of econometrics, optimization, mathematical modeling, data mining, and/or Python and R programming.