Department of Statistics
MS 3143
College Station, TX 77843
| Position ID: | TAMU-Department of Statistics-VAPDATASCIENCE [#13315] |
| Position Title: | Visiting Assistant Professor - Data Science |
| Position Type: | Non tenure-track faculty |
| Position Location: | College Station, Texas 77843, United States [map] |
| Subject Area: | Statistics / Statistics |
| Starting Date: | 2019/06/01 |
| Appl Deadline: | (posted 2019/02/19, listed until 2019/08/19) |
| Position Description: |
| Duties & Responsibilities: We are looking for a Visiting Assistant Professor at the Department of Statistics, Texas A&M University. The research work will be supervised by Dr. Bani K. Mallick. The other investigators in the project are Drs. Jianhua Huang (Arseven/Mitchell Chair in Astronomical Statistics), PR Kumar (College of Engineering Chair, Electrical Engineering) Yu Ding (Mike and Sugar Barnes Professor, Industrial Engineering) and Ibrahim Karaman (Chevron Professor, Material Science). The primary research focus will be applying novel machine learning, statistical and computational methods to the analysis of complex, high-dimensional data from Material science and Windmills. The main objective of this interdisciplinary project is to develop a radically new, multi-fidelity active learning theory, based on combining hitherto disparate knowledge disciplines (data science and control theory) to analyze Big Data. To help the researcher to develop an academic career, there will be opportunities to independently teach two major statistics courses. We seek a highly motivated individual with a Ph.D. in a quantitative field: Statistics, Machine Learning, Computer science, Engineering, or a related field. Must have strong training in statistics, signal Processing or machine learning as well as programming skills, in particular, R/Matlab/Python and preferably one lower-level computer language such as C; and interest in the application of state-of-the-art statistical methods to complex data. If interested please contact Dr. Bani K. Mallick (bmallick@stat.tamu.edu) with your current CV. The Texas A&M System is an Equal Opportunity/Affirmative Action/Veterans/Disability Employer committed to diversity. Texas A&M University, the College of Science and the Department of Statistics are dedicated to the goal of building an inclusive and culturally diverse faculty and staff who are committed to teaching and working in an environment of academic freedom and equality of opportunity. |