Postdoctoral Research Associate

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 gr