Job Overview
More Information
- Address 1088 Xueyuan Avenue, Shenzhen, China
- Qualification PhD
- Discipline Science & Engineering
The Department of Statistics and Data Science invites applications and nominations for all ranks of tenure-track and tenured positions (Assistant Professor, Associate Professor, Full Professor and Chair Professor) in statistics, with a start date of August 2021 or after. We seek applicants with outstanding methodological foundations in statistics and computer science. All areas of computer science will receive serious consideration with special emphasis on machine learning and AI, security and privacy, data mining and HCI. Candidates should have demonstrated excellence in research and a strong commitment to teaching. A doctoral degree is required at the time of appointment. Candidates for senior positions must have an established strong record of research and leadership in their research areas. The language of instruction can be either Chinese or English. Salary and start-up fund are highly competitive and will be commensurate with experience and qualifications. Regular faculty members (tenured and on tenure track) will be provided with housing subsidies. To apply, please send a cover letter, curriculum vitae, a research statement and a teaching statement to stat-dshire@sustech.edu.cn. Candidates should also arrange for at least three letters of recommendation sent directly to stat-dshire@sustech.edu.cn. Applications will be accepted until the positions are filled.
About the University and the City: Established in 2012, the Southern University of Science and Technology (SUSTech) is a public institution funded by the municipal government of Shenzhen, a special economic zone in China. Shenzhen, a major city located in Southern China and situated immediately north of Hong Kong, is the high-tech and manufacturing hub of China. A picturesque coastal city, Shenzhen is also a popular tourist destination and was named one of the world’s 31 must-see tourist destinations in 2010 by The New York Times.
The Southern University of Science and Technology is a pioneer in higher education reform in China. The mission of the University is to become a globally recognized institution, emphasizing academic excellence and promoting innovation, creativity and entrepreneurship. The University currently has over 1100 faculty members in 8 colleges and 28 schools. On June 9, 2021, the Quacquarelli Symonds (QS) released its QS World University Rankings 2022. SUSTech was ranked 13th in mainland China and 275th globally. please click https://www.sustech.edu.cn/ for more information.
The Department of Statistics and Data Science currently has 14 full-time (3 of them will join soon) and 4 jointly appointed faculty members including 4 Chair Professors, 3 Professors, 5 Associate Professors and 6 Assistant Professors. The total number of faculty members is expected to increase substantially in coming years. At present, the department has two undergraduate programs including Major Programs of Statistics and Data Science and Big Data Technology, as well as two graduate programs (M.Phil. and PhD) in Statistics. Please click https://stat-ds.sustech.edu.cn/ for more information.
Application Materials Required:
To apply, please submit the following items directly to stat-dshire@sustech.edu.cn to complete your application:
- Cover Letter
- Curriculum Vitae
- Research Statement
- Teaching Statement
- Three or More Reference Letters
Further Info:
https://stat-ds.sustech.edu.cn/
Ms. Zhou: stat-dshire@sustech.edu.cn
C/O Room 402, Innovation Park #8,
Department of Statistics and Data Science,
Southern University of Science and Technology,
1088 Xueyuan Boulevard,
Shenzhen, Guang Dong 518055
China
Application Process
To apply to join our team, please click the apply link below and provide the following documents:
- Curriculum vitae
- PhD certificate
- Five published articles (Within the last five years)
- Executive summary of academic achievements & proposed research or work plan (1000 words)
- Letter of recommendation and the names and email addresses of 3 referees (university professors)