Postdoctoral Researcher: GenAI & SciML in Engineering

Texas A&M Engineering Experiment Station (TEES)

College Station (TX)

Presencial

USD 60.000 - 80.000

Tempo integral

14 dias+

Uma candidatura completa em um minuto

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Resumo da vaga

Texas A&M Engineering Experiment Station (TEES) in College Station, TX, invites applications for a Postdoctoral Researcher in Generative Artificial Intelligence and Scientific Machine Learning. You will conduct independent and collaborative research at the interface of AI, physics-informed modeling, and software development, publishing results in peer-reviewed venues.

This on-site position requires a Doctorate and offers the opportunity to mentor graduate students, contribute to sponsored

Qualificações

  • Doctorate required.

Responsabilidades

  • 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.

Formação

Doctorate

Descrição da vaga

Texas A&M Engineering Experiment Station (TEES) in College Station, TX, invites applications for a Postdoctoral Researcher in Generative Artificial Intelligence and Scientific Machine Learning. You will conduct independent and collaborative research at the interface of AI, physics-informed modeling, and software development, publishing results in peer-reviewed venues.

This on-site position requires a Doctorate and offers the opportunity to mentor graduate students, contribute to sponsored

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