Postdoctoral Researcher Positions in AI for Health and Interdisciplinary AI at The Ohio State University The Ohio State University in United States

The Ohio State University is seeking outstanding and motivated postdoctoral researchers to join its new AI(X) Hub. Two exciting postdoctoral opportunities are available: one focused on AI for Health and another supporting interdisciplinary AI research across engineering, science, health, and more. The AI for Health position emphasizes developing novel artificial intelligence and data science methods to address challenges in health and biomedical domains. The AI(X) Hub position supports foundational and translational AI research with broad interdisciplinary impact.

These roles offer a unique chance to work in a highly collaborative, university-wide environment at the intersection of AI foundations and real-world applications. The positions are ideal for candidates with a strong research background in artificial intelligence, data science, or related interdisciplinary fields. Applicants should hold a PhD in computer science, engineering, biomedical sciences, or a related discipline, and demonstrate motivation, collaborative skills, and a record of impactful research. Experience in health, biomedical domains, or foundational AI is preferred for the respective roles.

The positions are funded postdoctoral researcher roles at The Ohio State University, though specific salary and benefits details are not provided. Interested candidates should apply via the provided external or internal application links and are encouraged to review the job postings for detailed instructions. The opportunity is open to candidates interested in shaping the next generation of AI research and applications, and applicants are encouraged to share the announcement widely.

Key research areas include artificial intelligence, AI for health, data science, biomedical domains, interdisciplinary research, engineering, science, and translational AI. The positions are supervised by Professor Ness Shroff, a leading scholar in networking, communications, and AI, and the Institute Director of the NSF AI Institute for future edge networks and distributed intelligence (AI-EDGE).