Associate Professor

HU101 The Howard University; United States; On-site; USD 100,000 - 115,000; Full time

Benefits offered by this job

Health insurance

Paid time off

Flexible work arrangements

Retirement plan with company match

Tuition reimbursement

Job summary

Howard University invites applications for a full-time, tenure-track position for a broadly trained computer scientist focused on AI for healthcare, especially multimodal foundation models for clinical decision support. Start date August 2026, part of the AI Cluster Hire Initiative across colleges.

Responsibilities include interdisciplinary AI research, course development and teaching, collaboration on EMR data projects, securing external funding, and mentoring diverse students.

Qualifications

• Ph.D. or equivalent terminal degree in computer science or data science.
• Ability or potential to secure external funding for research.
• Excellence in teaching at undergraduate and graduate levels.
• Proven ability to work collaboratively in interdisciplinary environments.
• Expertise in AI, machine learning, or multimodal modeling.
• Experience applying AI to EMR data or healthcare challenges.
• Commitment to interdisciplinary collaboration and inclusive teaching.

Responsibilities

• Conduct interdisciplinary AI research focused on health applications.
• Develop and teach undergraduate and graduate courses in AI, ML, data science, or health informatics.
• Collaborate across disciplines to apply AI methods to EMR data and healthcare challenges.
• Pursue external funding to support research and training initiatives.
• Mentor students from diverse backgrounds and foster inclusive environment.

Skills

AI/ML expertise

Multimodal modeling

Interdisciplinary collaboration

Teaching experience

Grant funding experience

Publications in AI/healthcare

Education

Ph.D. or equivalent terminal degree in CS/Data Science

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.

Here is what we offer:

• 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 Electrical Engineering and Computer Science - AI Cluster Hire Initiative

The Department of Electrical Engineering and Computer Science in the College of Engineering and Architecture at Howard University invites applications for a full-time, tenure-track position for a broadly trained computer scientist with research expertise and teaching interests in advancing artificial intelligence to address healthcare challenges with a focus on multimodal foundation models to clinical decision support systems. 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 position is part of the cluster, \"Development and Application of Multimodal Foundation Models to Clinical Decision Support Systems\", which is jointly led by the College of Engineering and Architecture 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. This cluster aims to recruit scholars with expertise in the development of AI models and multimodal models, as well as their application to electronic medical records (EMR). These efforts will contribute to generating predictive insights about patients' health and well-being, addressing critical challenges in healthcare delivery, and improving health outcomes.

Key Responsibilities:

• Conduct cutting-edge, interdisciplinary research in AI with a focus on health applications.
• Develop and teach undergraduate and graduate courses in AI, machine learning, data science, or health informatics.
• Collaborate across disciplines to apply AI methodologies to analyze and model complex healthcare data, including EMRs.
• Pursue external funding to support research and training initiatives.
• Mentor students from diverse backgrounds, fostering an inclusive and equitable academic environment.

Qualifications

• A Ph.D. or equivalent terminal degree in a relevant field, such as computer science or data science.
• Demonstrated ability or potential to secure external funding for research.
• Experience or potential for excellence in teaching at the undergraduate and graduate levels.
• Proven ability to work collaboratively in interdisciplinary research environments.
• Demonstrated expertise in AI, machine learning, or multimodal modeling.
• A record of (or potential for) impactful research, evidenced by publications, grants, or industry partnerships.
• Experience or interest in applying AI to EMR data or healthcare challenges.
• A commitment to interdisciplinary collaboration and promoting student access to and engagement in their teaching and research/scholarship/creative activities.

Salary Range: $100,000 - $115,000

About Howard University

Howard University is a premier Historically Black College and University (HBCU) committed to excellence in teaching, research, and service, offering a vibrant academic community engaged in interdisciplinary innovation, social impact, and collaborations across campus, including with Howard University Hospital. The Computer Science Program, housed in the Department of Electrical Engineering and Computer Science within the College of Engineering and Architecture (CEA), benefits from CEA's fully accredited engineering, architecture, and computing programs and its strong federal, industry, and research partnerships in Washington, D.C. The program supports robust undergraduate and graduate offerings and advances research in areas such as artificial intelligence, cybersecurity, data science, software engineering, and emerging AI-and-health applications.

Howard University is committed to providing equal opportunity in employment as well as in its educational programs and activities. The University prohibits discrimination or harassment based on race, color, national and ethnic origin, sex, marital status, religion, disability, veteran status, sexual orientation, political affiliation, gender identity, or any other classification, activities, or conditions protected by applicable law.

For more information on Howard University, call 202-238- 2330, or visit the University’s Web site at www.howard.edu.

EEO: The University does not discriminate based on race, color, national and ethnic origin, sex, marital status, religion, or disability. Veteran status and people with disabilities are encouraged to apply. Inquiries regarding provisions for persons with disabilities, equal opportunity, and Title IX would be directed to the Office of the Vice President for Human Resources.

Compliance Salary Range Disclosure Howard University is a comprehensive, research-oriented, historically Black private university providing an educational experience of exceptional quality to students of high academic potential with particular emphasis upon the provision of educational opportunities to promising Black students. Further, the University is dedicated to attracting and sustaining a cadre of faculty who are, through their teaching and research, committed to the development of distinguished and compassionate graduates and to the quest for solutions to human and social problems in the United States and throughout the world.

Howard University does not discriminate on the basis of race, color, national and ethnic origin, sex,sexual orientation,gender or gender identity, marital status, religion, disability or protected veterans status. Veterans and people with disabilities are encouraged to apply. Inquiries regarding provisions for persons with disabilities or veterans status, Equal Employment Opportunity and Title IX should be directed to the Office of Employee Relations and Equal Employment Opportunity at 202-806-1280.

This position description should not be construed to imply that these requirements are the exclusive standards of the position. Incumbents will follow any other instructions, and perform any other related duties, as may be required. The university has the right to revise this position description at any time. This position description is not be construed as a contract for employment.