Postdoc in large-scale statistical learning at Texas A
A postdoctoral position is available at Texas A&M; in the Industrial and Systems Engineering Department and Institute of Data Science.

We are conducting a search for a Postdoctoral Researcher to work with Shahin Shahrampour at Texas A&M University. The project is on large-scale statistical learning , a joint effort between the Department of Industrial and Systems Engineering (ISEN) and Texas A&M Institute of Data Science (TAMIDS). Applicants are expected to hold a Ph.D. degree in a closely related field to data science.

We are interested in the candidates in the broad area of machine learning algorithms. More specifically, the successful candidate will have a strong background in statistical learning theory and optimization, as well as programming skills in Matlab or Python. The position involves mathematical/algorithmic research in the area of data science, and the  candidate is expected to contribute to the field of machine learning methodology.

Candidates should email the application material directly to , including a brief research statement, a detailed resume including a publications list, and the names and email addresses of at least three references.

In addition to conducting research in our group, the postdoctoral researcher will engage with the broader mission of TAMIDS for one day per week on average. Examples of such engagements include: creating and teaching a short course related to their research, advising graduate student for interdisciplinary Data Science team projects, and consulting or collaborating with researchers or graduate students in their area to help integrate Data Science into their projects.

All positions are security-sensitive. Applicants are subject to a criminal history investigation, and employment is contingent upon the institution’s verification of credentials and/or other information required by the institution’s procedures, including the completion of the criminal history check.

Texas A&M University is an Equal Opportunity/Affirmative Action/Veterans/Disability Employer committed to diversity.