Candidates with expertise in one or more of the following areas: Advanced Probability, Advanced Mathematical Statistics, Regression Analysis, Multivariate Analysis, Categorical Data Analysis, Optimization, Time Series Analysis, Survival Analysis, Actuarial Mathematics, Data Mining and Bayesian Statistics are welcome. We are particularly interested in applicants whose research is in the field of applied statistics, data science, machine learning, deep learning or actuarial mathematics.
Candidates should have a PhD degree in a related discipline. Proficiency required in one or more of analytical tools such as R, Python, Matlab, or SAS. Successful candidates are expected to be committed to excellence in undergraduate or postgraduate teaching. Preference will be given to candidates who can undertake independent research leading to outstanding outcomes, including publications in high quality international-refereed journals.Research experience on Statistical modeling (Regression, Classification, Time-series forecasting) /Machine Learning /Deep Learning/Text Mining /Optimization /Visualization are desirable. Academic rank will be determined in accordance with successful candidate’s experience and accomplishments.
Salary will be commensurate with qualifications and relevant experience. Fringe benefits include housing allowance, leave and social insurance.
Appointment to this position will initially be made on a fixed-term contract of two years. Continuation of appointment beyond the initial term will be subject to mutual agreement.