The Lee Kong Chian School of Business at the Singapore Management University (SMU) is a dynamic Asian business school with over a hundred full-time faculty and about three thousand students. AACSB, EQUIS and AMBA accredited, the School offers undergraduate, master's (including MBA and EMBA) and doctoral programmes and is affiliated with a number of active research centres such as the Institute of Service Excellence and the Centre for Marketing Excellence.
Applicants are cordially invited for a full-time faculty position (Assistant/Associate/Full Professor of Practice/Education) in the area of Quantitative Finance at the Lee Kong Chian School of Business, Singapore Management University (SMU).
Practice-track and Education-track faculty members (term track) at SMU are excellent educators who create impact through their teaching, research, and engagement with the industry. Quantitative Finance Unit welcome applications from candidates who have good teaching and research records in quantitative finance area.
Information about SMU can be viewed at https://www.smu.edu.sg/, and further information about the Quantitative Finance group can be viewed at:
Application procedure and deadline: Candidates should be prepared to submit a full application consisting of: (1) a personal statement covering their industry experience, teaching and research activities, (2) a CV, (3) three samples of research, (4) evidence of teaching ability, and (5) three letters of reference.
All application materials should be submitted using the following link: https://smucareers.taleo.net/careersection/smu_ext_ft/jobdetail.ftl?job=2100003P&tz=GMT%2B08%3A00&tzname=Asia%2FSingapore with the subject heading “Practice/Education Track Application” to the attention of Associate Professor of Quantitative Finance (Education) Shirley Huang.
For further enquiry, please send email to: QuantFin@smu.edu.sg .
Applications are open until position is filled.
Candidates must have an earned PhD in a relevant field (such as mathematics, computer science, statistics, engineering, economics, information system, finance etc.) or a relevant cross disciplinary field.