Job Description

Job Description
TAMU-CC is a dynamic university designated as both a Hispanic-Serving Institution (HSI) and Minority-Serving Institution (MSI) with approximately 11,000 students from 47 states and 54 foreign nations. We employ over 1,400 full-time and 2,000 part-time Islanders (including students/GAs). The University attracts highly talented faculty and staff and offers an array of undergraduate and graduate degrees, including doctoral programs. As a member of the Texas A&M University System, TAMU-CC benefits from a range of resources, increased visibility and influence, and opportunities to collaborate in mutually beneficial ways with peers across member institutions and associated agencies.
TAMU-CC’s beautiful campus is located on a 240-acre island on Corpus Christi Bay and was ranked #1 College by the Sea by Best College Reviews. Our natural setting is enhanced by its modern, attractive, and state-of-the-art classroom buildings and support facilities.
From our generous benefits package and professional development opportunities, to our retirement programs and our commitment to service excellence, the Island University is an engaging and rewarding place to work.
Day in a Life:
This Postdoctoral Research Associate will work with Dr. Zheng Wei whose research interests encompass Statistical Machine Learning, Bayesian Statistical methods, and Statistical Methods for Big Data or related areas. Specifically, the candidate is required to develop novel Statistical Machine Learning methods and Bayesian Statistical methods and algorithms for both high-dimensional and big data.
This is a benefit eligible 12-month position for two years. Extension to the second year is contingent upon satisfactory performance. This is a partially remote position contingent upon signing the alternate work location agreement.
How You Will Contribute:
Develop Statistical Machine Learning for both high-dimensional and big data.
Implement Bayesian Statistical methods and algorithms to real-world datasets/systems.
Write, review, and edit research articles, and present research on conferences.
Advise and mentor undergraduate and graduate students.
Perform other duties as assigned.
Qualifications:
Ph.D. in either Data Science, Mathematics, Statistics, Computer Science, or closely related field.
A solid background in several fields of Machine Learning, Statistics, Mathematics, and Data Science.
Proficient in R, Python, C++ (other coding languages skill may also be considered).
High self-motivation and have a strong passion for computational research.
Excellent communication skills and to be able to work well both independently and in a collaborative team environment.
Preferred Qualifications:
Experience working with faculty, fellow postdocs, undergraduate and graduate students.
Open/Closing Information
Reviewing of applications will begin on February 9, 2023. Applicants are encouraged to apply by that date. The posting will remain open and reviewing of applications will be continued until a finalist is selected.
Applicants should submit (1) Cover letter, (2) Curriculum Vitae, (3) Research statement, (4) Copy of Ph.D. transcript and (5) three letters of recommendations.
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.
Equal Opportunity/Affirmative Action/Veterans/Disability Employer committed to diversity.