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Assistant Professor – AI in Agriculture

tamus · Temple

New
🇬🇧 English
Python Java Pandas NumPy TensorFlow PyTorch machine learning AI data analytics

Job description

About the role

Texas A&M AgriLife Research seeks an innovative Assistant Professor of Artificial Intelligence in Agriculture for a 12‑month, non‑tenure‑track faculty appointment. The position is based at the Blackland Research and Extension Center in Temple, Texas, with academic affiliation to a suitable Texas A&M department.

Key responsibilities

  • Develop and lead an externally funded research program applying AI, machine learning, remote sensing, robotics, and digital technologies to agricultural and environmental challenges.
  • Secure competitive grant funding, supervise postdoctoral researchers, graduate students, and technical staff.
  • Publish findings in peer‑reviewed journals, share tools with stakeholders, and build institutional AI capacity.

Required profile

  • Ph.D. in AI, Data Science, Agricultural Engineering, Computer Science, or a closely related field by the hire date.
  • Demonstrated record of peer‑reviewed publications and potential to obtain external research funding.
  • Experience collaborating with interdisciplinary teams and engaging agricultural stakeholders.

Required skills

  • Proficiency in Python, R, Java, or C++.
  • Experience with machine‑learning libraries such as Pandas, NumPy, TensorFlow, or PyTorch.
  • Strong background in AI, machine learning, and data analytics applied to agricultural systems.

What we offer

  • Competitive salary commensurate with qualifications.
  • Health, dental, vision, life and long‑term disability insurance.
  • Opportunities for interdisciplinary collaboration across Texas A&M AgriLife agencies and industry partners.

Questions fréquentes

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Source : ats:workday

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Published 2 days ago

Expires 1 month from now

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Temple