Postdoctoral Research Associate
About The Position
Texas A&M University-Corpus Christi (TAMU-CC) is seeking a highly motivated researcher with a strong background and interest in machine learning and artificial intelligence. This position focuses on the development and application of advanced deep learning models, with an emphasis on techniques such as knowledge distillation. The candidate will engage in research involving time-series analysis, including modeling, forecasting, and anomaly detection, contributing to innovative solutions in these areas. TAMU-CC is a dynamic university designated as both a Hispanic-Serving Institution (HSI) and Minority-Serving Institution (MSI) with approximately 11,000 students. 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.
Requirements
- Ph.D. in Data Science, Statistics, Mathematics, Computer Science, or a closely related field.
- Demonstrated expertise working with multivariate time-series and spatiotemporal datasets.
- Advanced proficiency in Python.
- 1–2 years of hands-on experience with PyTorch or TensorFlow.
- Documented scholarly achievements in applied statistics, machine learning, or deep learning (e.g., peer-reviewed publications, conference presentations).
- Proven ability to work effectively with various faculty, as well as undergraduate and graduate students.
- Capability to function both independently and within a multidisciplinary research team.
- Strong organizational and time-management skills, proactivity, accountability, and a solid work ethic.
- Ability to manage multiple projects simultaneously and cooperate with colleagues.
Nice To Haves
- Strong understanding of the mathematics of neural networks.
- Prior significant contributions to advanced machine-learning or deep-learning models.
- Evidence of having led a key research project, indicated by a first-author or corresponding-author paper in a leading peer-reviewed journal or conference.
Responsibilities
- Design, develop, and implement novel AI/ML models, with particular emphasis on time-series.
- Publish research findings at peer-reviewed journals and conferences.
- Prepare manuscripts, related grant proposals, and conference presentations.
- Teach courses in Department of Mathematics and Statistics
- Perform other duties as assigned
Benefits
- Medical $0 - $30 per month for Employee Only coverage after university contribution ($920 value). Up to 83% of premium covered by the university: Employee and Spouse Employee and Children Employee and Family coverage
- Dental & Vision
- Life Insurance, Accidental D&D, Long Term Disability, Flexible Spending Account and Day Care Spending Account
- DUAL CAREER PARTNER PROGRAM
- ON-CAMPUS WELLNESS OPPORTUNITIES
- Work Life Solutions: Counseling, Work Life Assistance, Financial Resources, and Legal Resources
- Tuition Benefits: Public Loan Forgiveness
- Book scholarships
- 100% tuition coverage for up to 18 credit hours per fiscal year (other rules may apply).
- Retirement: Teacher Retirement System of Texas (TRS) or Optional Retirement Plan (ORP)
- Voluntary Tax Deferred Account/Deferred Compensation Plan
- 8+ hours of vacation paid time off every month.
- 8 hours of sick leave time off every month.
- 8 hours of paid time off for Birthday leave.
- 12-15 paid holidays each year.
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
Education Level
Ph.D. or professional degree
