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.
PURPOSE
We are seeking a highly motivated researcher with a strong background and interest in machine learning and artificial intelligence. The 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.
DESCRIPTION
Functional Area 1: Research
Percent Effort: 80%
Design, develop, and implement novel AI/ML models, with particular emphasis on time-series.
Publish research findings at peer-reviewed journals and conferences.
Functional Area 2: Grant Writing
Percent Effort: 15%
Functional Area 3: Teaching
Percent Effort: 5%
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.
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.
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.
SALARY: $50,000- $60,000 Annual, Approximately
Note: Funding is temporary, this position is funded for 14-months.
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
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:
Tuition Benefits:
Retirement:
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.
