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Urgent! Tenure-Track Faculty Position, Open Rank - Local Job Opening in Columbus

Tenure Track Faculty Position, Open Rank



Job description

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  • Job Title:

    Tenure-Track Faculty Position, Open Rank

    Department:

    Engineering | Computer Science and Engineering

    Tenure-Track Faculty Position, Open Rank

    Department of Computer Science and Engineering

    College of Engineering

    The at invites applications for an Open Rank (Assistant/Associate/Full) Tenure Track faculty appointment in Artificial Intelligence (AI) with important applications to healthcare, starting as early as Fall 2026.

    The Ohio State University is committed to cutting-edge research, high-quality teaching, and meaningful interdisciplinary collaborations that advance patient care and medical research.

    We seek individuals whose work lies at the intersection of AI/ML and healthcare.

    Candidates must demonstrate significant AI expertise as a core element of their scholarship whether through the creation of new AI methods or novel use of AI techniques that materially advance knowledge, methods, or practice in their discipline.

    AI Fluency at The Ohio State University

    Ohio State is leading a bold, groundbreaking initiative to integrate artificial intelligence (AI) into the undergraduate educational experience.

    This initiative will ensure that every Ohio State student, beginning with the class of 2029, will graduate being AI fluent — fluent in their field of study, and fluent in the application of AI in that field.

    As part of this exciting initiative, Ohio State will look to hire 100 faculty with a focus on AI over the next five years.

    A particular area of focus for the initiative is redefining learning and innovation by embedding AI across the curriculum, equipping faculty, enabling student innovation and identifying and demonstrating progress towards AI fluency learning outcomes.

    Position Overview

    The faculty will join the 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 FoundationsHealthEngineering and SciencesAgricultureTrustworthy 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 electronic health records.Large-scale AI-driven analytics for medical diagnostics, therapeutics, population health, and other salient health areas, AI-driven healthcare interventions, the development of novel architectures or systems designed for data-intensive and computationally intensive AI/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.
  • Explore our extensive benefits

    .

    Work-life: Flexible and remote work arrangement opportunities where applicable, childcare program, and access to educational, athletic and cultural events.

    Retirement: State pension and alternative options with competitive employer contributions, as well as optional supplemental plans.

    Health: Medical, dental, vision and prescription coverage, life insurance, flexible spending accounts and wellness programming.

    Time off: Paid vacation and sick time, parental and medical leave plus 11 paid holidays.

    Short and long-term disability options also available.

    Financial: Tuition assistance for employees and their dependents, adoption assistance and discounts with preferred vendors and university partners.

    Wellness: Lifestyle spending account, employee assistance program, health reimbursement account, and employee wellness program.


    Required Skill Profession

    Postsecondary Teachers



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