Description

Tenure-Track Faculty Position, Open Rank
The Ohio State University  
Columbus, OH

Department:
Engineering | Computer Science and Engineering

Position Overview
The faculty will join the AI(X) Hub at Ohio State, established to drive innovation, provide resources, and foster the development of foundational and applied AI. The AI(X) Hub will be organized around several pillars: AI Foundations, Health, Engineering and Sciences, Agriculture, Trustworthy AI, and Cybersecurity. The Hub’s Faculty Hiring Initiative will elevate Ohio State’s national reputation specifically related to AI in addition to attracting top-tier academic talent and secure external funding.     

This advertised position will dovetail with similar positions in the soon to-be-stood up AI in Health Pillar of the AI(X) Hub.  The selected candidate will have the opportunity to work closely with Health Pillar (primary) and the AI Foundations Pillar (secondary).  It is very likely that the research focus of the Health Pillar will include: (a) AI-Driven Therapeutics Discovery; (b) AI-Enabled Precision Medicine; (c) AI Implementation and Translation; (d) AI Education in Health and (e) Scalable and Robust AI Infrastructure for Health.   

Further, the candidate will have the opportunity to work with faculty in the colleges of Nursing, Medicine, Pharmacy, Public Health, and Ophthalmology on topics among others related to aging, adult and pediatric well-being, and diseases such as cancer, cardiovascular, mental, and metabolic disorders (e.g., diabetes). In addition to the AI(X) Hub, the candidate would have the opportunity to engage with the Comprehensive Cancer Center, the Cancer Engineering Center, and the Pelotonia Institute for Immuno-Oncology all of which can be source of further collaborations and resources.

The successful candidate will be positioned to harness the department’s world-class expertise in artificial intelligence, anchored by two NSF-funded AI institutes and an NSF-funded Harnessing the Data Revolution (HDR) institute, alongside other major research centers with substantial funding. This rich ecosystem offers unparalleled opportunities for collaboration, innovation, and leadership in cutting-edge AI research. The candidate will have access to the Ohio Supercomputer Center’s advanced high-performance computing and data infrastructure—an invaluable asset for driving large-scale, data-intensive AI + Healthcare projects forward.

In summary, this is a highly interdisciplinary position that will be closely aligned with similar positions in the AI(X) Hub and other centers of research dedicated to biomedicine and health sciences.  

Education and Experience

Required:

• A Ph.D. in computer science, computer engineering, or a closely related computing field.  Ph.D. must be completed by the time of appointment.
• A track record of advancing fundamental and/or applied research at the intersection of AI and health, reflected in high-impact publications, sustained funding (for senior hires), and recognition commensurate with appointment level.

Desired

• Experience in designing and advancing foundation AI/ML methods tailored to health sciences data and problems.
• Familiarity with the use and integrative analyses of high-throughput molecular data (incl. genomic, transcriptomic, proteomic, and metabolomic data), and/or imaging (incl. radiology, histopathology, vision science imaging), and/or electronic health records.
• Experience in designing and advancing foundation AI/ML methods tailored to health sciences data and problems.
• Measurable impact, such as software repositories, citations, patents, and leadership roles (for senior hires). 
• Foundational contributions to scalable and robust AI algorithms, models, and frameworks to address key challenges in health, biomedicine, and life sciences.
• Developed widely adopted AI tools, systems, or benchmarks that enable discovery, reproducibility, and broad use in health sciences.
• Developed or effectively leveraged multimodal AI/ML methods (incl. foundation models) and demonstrated their validity on patient populations. Examples can include:
• Scalable integrative analyses of high-throughput molecular sequence data (incl. genomic, transcriptomic, proteomic, and metabolomic data), and/or imaging (incl. radiology, histopathology, and ophthalmology imaging), and/or electronichealthrecords.
• Large-scale AI-driven analytics for medical diagnostics,therapeutics, population health, and other salient health areas, AI-drivenhealthcare interventions, the development of novel architectures or systems designed for data-intensive and computationally intensiveAI/ML workflows in medicine, digital health, multimodal data modeling  (e.g., biosignals, speech, language), wearable sensing and computing, human behavioral interpretation, and trustworthy computing for health applications. 
• Experience with emerging healthcare challenges, including those related to aging, chronic diseases and disorders, well-being, etc.

Performance Objectives
Assistant-level Appointment

• demonstrated excellence in verbal and written communication;
• a record of high-quality research in the computing field;
• excellence in teaching, both in the classroom and in student advising;
• excellence in scholarship, associated primarily with research that enhances the state-of-the-art in computing;
• leadership in service, both to the profession and to the university;
• making contributions to broadening participation in the field of computing;
• an attitude conducive of good citizenship, including a commitment to interact with others in a professional, ethical, and constructive fashion; and
• strong potential to achieve tenure and advance through the tenure-track faculty ranks.

Associate/Full Appointment

• the sustained achievement of a strong record in teaching, both in the classroom and in student advising;
• the sustained achievement of a strong record in scholarship, associated primarily with research that enhances the state-of-the-art in computing;
• the sustained achievement of a strong record of service, both to the profession and to the university; and
• a total body of high-quality work and recognition as a leader in the field that leads to national or international distinction.

Skills Required for Success
Assistant Professor Appointment

• Leadership and Collaboration: The candidate should demonstrate leadership and the ability to collaborate effectively in an academic setting.
• Mentoring and Teaching: Experience or training in mentoring and teaching is desirable.
• Communication Skills: Excellent interpersonal and communication skills are required, with a focus on working constructively, decisively, and collegially with both external and internal colleagues and interdisciplinary teams.
• Independence and Initiative: We value individuals who can work independently and are proactive self-starters with strong project leadership skills.
• Innovative Thinking: The candidate should be open to sharing ideas, continuously learning, and displaying innovative thinking.

Associate/Full Appointment

• Proven Leadership and Collaboration: We seek individuals with a demonstrated track record of leadership and collaboration in a professional environment.
• Advanced Teaching and Mentoring Skills: The candidate should possess advanced mentoring and teaching skills.
• Communication Skills: Excellent interpersonal and communication skills are required, with a focus on working constructively, decisively, and collegially with both external and internal colleagues and interdisciplinary teams.
• Proven independence and Initiative: We value individuals who can work independently and are proactive self-starters with strong project leadership skills.
• Innovative Thinking: A successful candidate will display innovative thinking, be open to sharing ideas, and have a willingness to continuously learn.

How to Apply
Review of applications will begin by November 1, 2025.

https://osu.wd1.myworkdayjobs.com/OSUCareers/job/Columbus-Campus/Tenure-Track-Faculty-Position--Open-Rank_R138708

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