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About this Postdoctoral Researcher role at Texas A&M University System

Texas A&M University System · Onsite · College Station, TX

Job Title

Postdoctoral Researcher

Agency

Texas A&M Engineering

Department

Nuclear Engineering

Proposed Minimum Salary

Commensurate

Job Location

College Station, Texas

Job Type

Staff

Job Description

Why work for Texas A&M Engineering?

 

Engineering has been part of Texas A&M University since its opening in 1876 as the Agricultural and Mechanical College of Texas. Today, the College of Engineering is the largest college on the College Station campus with more than 25,000 engineering students enrolled in 15 departments. Its mission is to serve Texas, the nation and the global community by providing engineering graduates who are well-founded in engineering fundamentals, instilled with the highest standards of professional and ethical behavior, and prepared to meet the complex technical challenges of society.

 

As the research arm of Engineering, the Texas A&M Engineering Experiment Station (TEES) is a state agency within the Texas A&M University System with a mission to improve lives through basic and applied engineering research, workforce development and technology transition. Our collaborations with industry, academia and government provide cutting-edge solutions to global technical challenges.

 

We are deeply committed to recruiting and retaining a talented workforce that embraces our core values of Respect, Excellence, Leadership, Loyalty, Integrity, and Service, by offering competitive salaries, an array of benefits, an extensive support network, and above all, an enriching and highly collaborative working community that is deeply passionate about our vision for higher education, research, and public service.

 


Purpose:


The postdoctoral researcher will conduct research in Generative Artificial Intelligence (GenAI) and Scientific Machine Learning (SciML), with applications to scientific and engineering systems. The researcher will develop, implement, and evaluate advanced AI/ML methods that integrate physical models, simulation, experimental data, and domain knowledge. Research topics may include generative and agentic AI, physics-informed machine learning, differentiable physics, scientific foundation models, surrogate modeling, digital twins, and AI-assisted scientific computing. The position will involve independent research, scientific software development, collaboration with faculty and students, preparation of peer-reviewed publications, and participation in sponsored research projects.


Responsibilities:

  • Conduct independent and collaborative research in Generative Artificial Intelligence, Scientific Machine Learning, and related areas for science and engineering applications. Develop, implement, and evaluate computational methods, models, algorithms, and research software.
  • Analyze and interpret research results and prepare manuscripts, technical reports, presentations, and other research materials.
  • Collaborate with faculty, students, research staff, and external partners on research projects. Present research findings at conferences, workshops, and project meetings.
  • Contribute to sponsored research activities, proposal development, and mentoring of graduate and undergraduate researchers. Perform other research-related duties as assigned.

What We Need:

  • Doctorate

Work Location:

  • Main Campus – College Station, TX.

About Nuclear Engineering:
Texas A&M University's Department of Nuclear Engineering strives to serve the state, nation and global community by nurturing nuclear engineering professionals and leaders to meet the complex challenges associated with the peaceful uses of nuclear energy and enhancing global security. Our program is ranked second nationally among graduate programs amongst public universities.


Texas A&M Engineering provides an outstanding benefits package including but not limited to:

 

Helpful Applicant Information

Required Materials for Application:

  • Resume/CV
  • Three work references with their contact information; at least one reference should be from a supervisor/former supervisor.
  • Letter of interest (dependent upon position)

 

Applications received by Texas A&M Engineering must have all required job application data entered.

Failure to provide all job application data could result in an invalid submission and a rejected application.

Compensation Philosophy:

  • Recruit and retain high-performing workforce through competitive compensation and career development including career pathing, coaching and skills development.
  • Offer total rewards, flexible benefits, professional development, performance recognition and work-life balance.
  • Ensure resources are readily available and utilized to attract and retain the highest quality researchers, faculty, and staff.

Employment Eligibility Verification

  • If hired, you will be required to complete the federal Employment Eligibility Verification I-9 form.  You will be required to present original and unexpired documents to prove your identity and authorization to work in the United States.  Documents need to be presented no later than the third day of employment.  Failure to do so will result in delay of start date.

 

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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About Texas A&M University System

The Texas A&M University System is one of the largest systems of higher education in the nation, with a statewide network of twelve universities, eight state agencies, a comprehensive health science center, Texas A&M-Fort Worth and Texas A&M-RELLIS. The A&M System is committed to providing an educational and work environment that is conducive to the personal and professional development of each employee. Each member institution provides equal opportunity and access to all students, employees and prospective employees.

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