Tenure-Track Assistant Professor - AI for Computational Bioimaging

The Ohio State University; Columbus (OH); On-site; USD 90,000 - 130,000; Full time

Job summary

The Ohio State University in Columbus, OH invites applications for a tenure-track assistant professor position focusing on AI for computational bioimaging. Candidates should complement existing research in ECE and BME and begin as early as August 15, 2027.

Immigration sponsorship may be limited; visa decisions will be based on complexity and risk. Responsibilities include high-impact AI research, teaching at undergraduate and graduate levels, advising students, and collaborating across

Qualifications

• PhD in EE/CE/BME or related field.
• Evidence of research with publications in top journals/conferences.
• Ability to attract competitive peer-reviewed funding.
• Ability to teach and mentor graduate students.
• Ability to teach and supervise undergraduate students.
• Evidence of cross-disciplinary collaboration.
• Commitment to Ohio State's Shared Values and outreach.
• Excellent interpersonal and communication skills.
• Ideal candidates should have AI expertise as a core element of their scholarship.

Responsibilities

• Perform high-quality, high-impact research in AI for computational bioimaging.
• Teach undergraduate and graduate courses within ECE and BME.
• Advise undergraduate and graduate students in ECE and BME toward degree completion.
• Display conduct aligned with professional, ethical, and constructive collaboration.

Skills

AI expertise

Research publications

Teaching/mentoring

Cross-disciplinary collaboration

Communication skills

Education

PhD in Electrical Engineering/Computer Engineering/BME or related

Job description

Tenure-Track Assistant Professor - AI for Computational Bioimaging
The Ohio State University
Columbus, OH

The Departments of Electrical and Computer Engineering (ECE) and Biomedical Engineering (BME) at The Ohio State University invite applications for a tenure-track assistant professor. This position seeks candidates who will advance rigorous foundational methodological advancements in AI for computational bioimaging. The applicant’s research area must complement the current research portfolios in these departments. The position will start as early as August 15, 2027.
Immigration/visa sponsorship may be available in limited situations, but all decisions concerning immigration/visa sponsorship will depend on an evaluation of complexity and risk. We will not engage in immigration sponsorship for this position for individuals subject to the J-1 two-year home residency requirement or who will require consular processing for a visa to come to the United States to begin work at the university.

Performance Objectives

• Perform high-quality, high-impact research in the domain of AI for computational bioimaging.

• Teach undergraduate and graduate courses within ECE and BME.

• Advise undergraduate and graduate students in ECE and BME towards successful completion of their degree programs.

• Display an attitude conducive of good citizenship, including a commitment to interact with others in a professional, ethical, and constructive fashion.

Education and Experience Requirements

• A Ph.D. in electrical engineering, computer engineering, biomedical engineering, or a closely related field.

• Evidence of demonstrated efforts in research, including publications in top journals and conferences within the field of interest.

• Potential to attract competitive peer-reviewed funding based on a compelling research vision and plan for independent future work.

• Potential to teach, attract, and mentor graduate students.

• Potential to teach and supervise undergraduate students from all backgrounds.

• Potential to perform collaborative, cross-disciplinary research

• Potential to perform outreach and engagement that reflect Ohio State’s Shared Values.

• Demonstrated ability to be a conscientious member of the university and/or research community.

• Excellent interpersonal and communication skills with the desire and ability to work constructively, decisively, and collegially with internal and external colleagues and in multi-disciplinary settings.

• Ideal candidates willdemonstratesignificant AIexpertiseas a core element of their scholarship.

The university is an equal opportunity employer, including veterans and disability.