Assistant Professor

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

The Talent Acquisition department hires qualified candidates to fill positions which contribute to the overall strategic success of Howard University. Hiring staff “for fit” makes significant contributions to Howard University’s overall mission. At Howard University, we prioritize well-being and professional growth.


Benefits


  • Health & Wellness: Comprehensive medical, dental, and vision insurance, plus mental health support

  • Work-Life Balance: PTO, paid holidays, flexible work arrangements

  • Financial Wellness: Competitive salary, 403(b) with company match

  • Professional Development: Ongoing training, tuition reimbursement, and career advancement paths

  • Additional Perks: Wellness programs, commuter benefits, and a vibrant company culture


Join Howard University and thrive with us!

https://hr.howard.edu/benefits-wellness


The Department of Radiology in the College of Medicine at Howard University invites applications for a full-time, tenure-track assistant or associate position with research expertise and teaching interests in advancing mathematics-enhanced artificial intelligence (AI) for radiology and imaging sciences. With an anticipated start date of August 2026, this position is part of the Office of the Provost Artificial Intelligence (AI) Cluster Hire Initiative, which aims to expand AI interdisciplinary research and instruction across the university. This cluster hiring aims to recruit scholars with expertise in the interdisciplinary fields of biomedical imaging, artificial intelligence, and data science. While the Department of Radiology welcomes applicants whose work intersects biology, medicine, or other data-intensive fields, applicants should be scholars who are broadly interested in research that addresses significant scientific or societal challenges through advanced biomedical approaches.


SUPERVISORY AUTHORITY

The candidate will supervise postdocs, students, research assistants or lab interns conducting projects.


NATURE AND SCOPE

This position is part of the cluster, \"Advancing Health through Mathematics Enhanced AI for Radiology and Endocrinology,\" which is jointly led by the College of Arts and Sciences and the College of Medicine. The goal is to bring together and invest in faculty across departments whose research and scholarship are linked through this cluster and to attract faculty members who can bring different perspectives.


The successful applicant is expected to contribute to an interdisciplinary academic environment through research, teaching, mentorship, and collaboration. Primary responsibilities include leading independent and collaborative research initiatives, applying AI and advanced imaging techniques to biomedical challenges, and participating in student training and curriculum development. The position emphasizes research that addresses health disparities and fosters inclusive excellence.


PRINCIPAL ACCOUNTABILITIES


  • Leverage Howard University's distinctive resources and datasets to address health disparities impacting historically underserved communities, with an emphasis on leveraging Artificial Intelligence technologies to improve diagnostic, treatment, and prevention strategies for diseases disproportionately affecting these populations.

  • Conduct research across various imaging science fields using disease animal models, including brain injury, neurological diseases, developmental disorders, diabetes, and nanomedicine. Utilize MRI/MRS, PET/CT, and other imaging modalities, incorporating Artificial Intelligence techniques to advance both preclinical and clinical applications.

  • Coordinate research collaborations between the imaging facilities in the Molecular Imaging Laboratory at Howard University. Provide expertise in imaging methods and experimental design from small animal imaging to translational-clinical imaging studies.

  • Organize training sessions and workshops for researchers interested in using the MRI.

  • Participates in academic, didactic, and professional training provided through seminars, workshops and direct meetings with grant faculty.

  • Conducts data collection, statistical analysis, and data interpretation responsibilities related to the Molecular Imaging Laboratory grant portfolio.


CORE COMPETENCIES


  • Expertise in advanced biomedical imaging modalities (MRI, PET, CT, microscopy) and experience integrating AI techniques into imaging workflows (preferred).

  • Proficiency in programming and operating systems such as Bruker MRI and microPET/CT systems (preferred).

  • Demonstrated experience with machine learning and deep learning frameworks.

  • Strong foundation in statistical analysis, data visualization, and computational modeling.

  • Proven ability to work collaboratively in interdisciplinary research environments.

  • Effective communication and organizational skills; strong written and oral proficiency in English.


MINIMUM REQUIREMENTS


  • PhD in Radiological Sciences, Physical Sciences, Chemistry, Biomedical Engineering, Computer Science, or a closely related field.

  • Demonstrated experience in biomedical imaging and AI applications.

  • A strong track record of research productivity and independent funding, or the potential to secure external grants.

  • Enthusiasm for interdisciplinary collaboration and translational research.

  • Teaching or mentoring experience at the undergraduate, graduate, or postdoctoral level is preferred.


Compliance Salary Range Disclosure

Compensation Range: $135,000 -$150,000

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