Jobs · Training · Georgia

Assistant Professor in Comparative Disease Computation and Artificial Intelligence (Tenure Track)

The University of Georgia · Athens, GA · 2 mo ago
Training$59.1/hrFull-time

About the role

The Department of Pathology in the College of Veterinary Medicine at the University of Georgia invites applications for a nine-month tenure track faculty position with a focus on AI.

Responsibilities

  • Establish a dynamic, externally funded research program
  • Contribute significantly to the Department’s research mission through collaborative efforts with other faculty
  • Teach in the College’s undergraduate, professional and graduate programs
  • Participate in the Departmental service

Requirements

The selected candidate will be expected to establish a dynamic, externally funded research program and to contribute significantly to the Department’s research mission through collaborative efforts with other faculty. Areas of interest include AI-driven image analysis and computer vision for digital histopathology, integration of multimodal data (e.g., imaging and molecular), AI-driven genomics and multi-omics analysis, and generative AI in disease modeling.

Qualifications

  • PhD (or equivalent) in a related field
  • Preference will be given to individuals with post-doctoral training or similar research evidence in biomedical science

Skills

  • Active research program and/or a record of applying computational biology and artificial intelligence (AI) techniques to the study of animal and human disease
  • Strong foundation in biological systems and the ability to address fundamental or applied questions in the pathophysiology of animal and human diseases
  • Commitment to teaching excellence, including undergraduate instruction and student engagement
  • Benefits

    The Department of Pathology in the College of Veterinary Medicine at the University of Georgia offers a supportive and collaborative environment for research and teaching.

    Pay

    The anticipated salary for this position is not specified.

    Schedule

    The anticipated start date for this position is August 1, 2026.

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