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tenured, tenure-track or teaching-track faculty

Company Information

The School of Data Science (SDS) of The Chinese University of Hong Kong, Shenzhen is established in July 2020.
Located in Shenzhen, the innovation hub of China, the SDS focuses on first-class teaching and academic research in Data Science. It has established a systematic education system in data science, including theoretical aspects such as operations research, statistics, computer science, and application fields such as machine learning, operations management, and decision analytics, providing students with comprehensive and state-of-the-art training. With the aim "to nurture high-end talent with global perspective, Chinese tradition and social responsibility", the school is organically combining industry, education and research, determining to become the world's leading data science innovation and research base, as well as cultivating top innovative talents with a global perspective.
The SDS is established on a solid foundation with a strong faculty team. Currently it has more than 30 faculty members, many of whom have experiences in working in top-tier universities in the world and have significant international impact in related fields of academia and industry
With the establishment of SDS, the previous Institute for Data and Decision Analytics (iDDA) will be subsumed into SDS. The establishment of the SDS represents the increasing investment of the Chinese University of Hong Kong, Shenzhen in the field of data science, which is also a sign of the determination of The Chinese University of Hong Kong, Shenzhen to stand at the forefront of the era and to cultivate the talents needed for the development of the society.

Duties and Responsibilities

Tenured and tenure-track faculty members are expected to conduct cutting-edge research, and establish a research program that is international visible. A moderate amount of teaching, both at the undergraduate level and at the graduate level is expected.
Teaching-track faculty members are expected to teach undergraduate and graduate level courses. All teaching activities are conducted in English.

Position Qualifications

We seek applicants with outstanding methodological foundations in one or more of the following areas: Statistics, Data Science, Machine Learning and Artificial Intelligence, Computer Science, Operations Research, Management Science, and other closely related areas. We especially encourage individuals whose interests and backgrounds are at the intersection of multiple areas to apply. Applicants should hold or expect to obtain a Ph.D. degree in a relevant field. The ability to teach effectively, at both the undergraduate and graduate levels to diverse groups of students, is required. Junior applicants must demonstrate a clear and high potential to enhance research and educational missions of SDS. Senior applicants must have a well-established record of research and teaching accomplishments and have demonstrated scientific creativity and leadership with externally funded and highly visible research programs.