Postdoctoral Research Associate

Corpus Christi, TX, United States

Texas A&M University-Corpus Christi

Texas A&M University-Corpus Christi, the Island University, has been proudly providing a solid academic offering of more than 85 of the most popular degree programs in the state.

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Job Title

Postdoctoral Research Associate

Agency

Texas A&M University - Corpus Christi

Department

College of Science - Math/Statistics Sciences

Proposed Minimum Salary

Commensurate

Job Location

Corpus Christi, Texas

Job Type

Staff

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.

 

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PURPOSE

We are seeking a highly qualified researcher with a strong interest in applied statistics, machine learning, and artificial intelligence, with a particular focus on time-series modeling. The ideal candidate will be responsible for developing and applying probabilistic models to advance time-series analysis.

Key areas of focus for this position include: 1)Probability Theory and Measure Theory : Leveraging foundational mathematical frameworks to design robust modeling approaches. 2) Deep Learning : Exploring cutting-edge techniques such as multimodal data integration, diffusion models, attention mechanisms, and foundation models. 3) Time-Series Analysis : Specializing in modeling, forecasting, and anomaly detection to address complex real-world challenges.

The successful candidate will have the opportunity to contribute to innovative research at the intersection of these domains, driving impactful advancements in both theory and application.

DESCRIPTION

Functional Area 1: Research

Percent Effort: 80%

  • Design, develop, and implement novel AI/ML models, with particular emphasis on time-series and spatiotemporal data.

  • Formulate mathematical models and derive convergence proofs, drawing on probability and measure theory.

  • Publish research findings at peer-reviewed journals and conferences.

Functional Area 2: Grant Writing

Percent Effort: 15%

  • Prepare manuscripts, related grant proposals, and conference presentations.

Functional Area 3: Teaching

Percent Effort: 5%

  • Teach courses in Department of Mathematics and Statistics

  • Perform other duties as assigned

QUALIFICATIONS

  • 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 (or Rust).

  • 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.

PREFERRED QUALIFICATIONS

  • Strong understanding of the mathematics of neural networks, large deviations theory, and measure theory.

  • Prior significant contributions to advanced machine-learning or deep-learning models for time-series analysis.

  • 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.

NOTE: Continued employment contingent upon available funding. ​This is a two-year position.

SALARY: $45,000 - $50,000/annually, approximately.

  • $3,750 - $4,166.67/monthly.

BENEFITS (rules, policies, eligibility apply)

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.

INSURANCE:

  • 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

Time Off:

  • 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.

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/Veterans/Disability Employer.

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Tags: Computer Science Deep Learning Diffusion models Machine Learning Mathematics ML models Probability theory Python PyTorch Research Rust Security Statistics Teaching TensorFlow

Perks/benefits: Career development Conferences Flex hours Flexible spending account Flex vacation Health care Insurance Medical leave Wellness

Region: North America
Country: United States

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