Summary

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.

Job description

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

Requirements

Doctorate

Benefits

Medical Insurance
Prescription Coverage
Vision Insurance
Dental Insurance
Life Insurance
Long-Term Disability Insurance
Defined Benefit Retirement Plan
403(b) Plan
457(b) Plan
Flexible Spending Accounts
Paid Holidays
Vacation Leave
Sick Leave
Professional Development
Tuition Assistance
Wellness Programs

Company overview

The Texas A&M Engineering Experiment Station (TEES) is a premier engineering research agency within the Texas A&M University System. Established in 1914, TEES serves as the engineering research arm of Texas A&M University, conducting cutting-edge research across multiple engineering disciplines including aerospace, biomedical, chemical, civil, electrical, mechanical, and nuclear engineering. As one of the nation's largest engineering research organizations, TEES collaborates with industry partners, government agencies, and academic institutions to translate fundamental research into practical applications and technological innovations. The organization manages hundreds of research projects annually, addressing critical challenges in energy, healthcare, infrastructure, defense, and environmental sustainability. TEES plays a vital role in advancing engineering education, fostering economic development, and training the next generation of engineering leaders through its integration with Texas A&M's academic programs and research initiatives.