Tenure-Track AI Imaging Scientist (Radiology)

Howard University

United States

On-site

USD 135,000 - 150,000

Full time

14 days+

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Benefits offered by this job

Health insurance
Dental insurance
Vision insurance
PTO & holidays
Flexible work arrangements
403(b) with match
Tuition reimbursement

Job summary

Howard University’s Department of Radiology invites applications for a full-time, tenure-track assistant or associate professor position focused on advancing mathematics-enhanced AI for radiology and imaging sciences. Start date August 2026, part of the AI Cluster Hire Initiative to expand interdisciplinary AI research and instruction.

The successful candidate will lead independent and collaborative research, teach and mentor students, and contribute to curriculum development while addressing

Qualifications

  • PhD in a closely related field with research in biomedical imaging or AI
  • Demonstrated experience with imaging modalities and AI applications
  • Teaching or mentoring experience preferred

Responsibilities

  • Lead independent and collaborative research initiatives.
  • Apply AI and advanced imaging to biomedical challenges.
  • Contribute to student training and curriculum development.
  • Address health disparities through inclusive excellence.

Skills

AI in imaging
Biomedical imaging
Programming
Statistics
Interdisciplinary collaboration
Communication

Education

PhD in Radiological Sciences
PhD in Physical Sciences
PhD in Biomedical Engineering
PhD in Computer Science

Tools

Bruker MRI
microPET/CT

Job description

Howard University’s Department of Radiology invites applications for a full-time, tenure-track assistant or associate professor position focused on advancing mathematics-enhanced AI for radiology and imaging sciences. Start date August 2026, part of the AI Cluster Hire Initiative to expand interdisciplinary AI research and instruction.

The successful candidate will lead independent and collaborative research, teach and mentor students, and contribute to curriculum development while addressing

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