AST/ASO/FULL PROF

• Ph.D. in computer science or related field
• Expertise in AI/ML, deep learning
• Expert proficiency in Python, PyTorch, and Linux/command line
• Familiarity with LLM in-context learning and prompt engineering
• Basic understanding of modern LLM models, ecosystems, and pipelines, including retrieval-augmented generation, tools/chains, and LLM agents
• Teaching experience

Artificial Intelligence in Biomedical and Health Sciences

University of Florida’s College of Medicine is launching a new Master’s of Science program in Artificial Intelligence in Biomedical and Health Sciences (AIBHS).  This new program, the first of its kind in the southeast and one of the first nationwide, will train the healthcare and biomedical sciences workforce to develop and implement trustworthy artificial intelligence technologies.  AIBHS equip students with the knowledge, skills, and tools needed to leverage AI's potential in translational biomedical applications and clinical care, including diagnostics, therapeutics, personalized medicine, and healthcare management. Students learn to design and implement various trustworthy AI architectures in domains such as generative AI, large language models, neural networks, and imaging as well as to integrate various types of data to advance research and improve clinical decision making.  As a result, AIBHS graduates will be uniquely positioned to rapidly accelerate translational biomedical research, precision medicine, health management, processes, and delivery, and to improve patient care.

Join our team at UF and contribute to shaping the future of AI in the biomedical field!

AI at the University of Florida

At the University of Florida (UF), Artificial Intelligence (AI) plays a crucial role in advancing cutting-edge research and innovative solutions across various fields and all colleges. With a dedicated AI initiative, UF is committed to integrating AI across its curriculum, enabling students and faculty to engage deeply with AI tools and techniques. The university boasts state-of-the-art facilities, including HiPerGator, the fastest supercomputer in academia, soon to be replaced by an even more advanced version using Nvidia technology not yet on the market.  In addition, UF offers myriad AI-centric laboratories and research centers, where cross-disciplinary teams collaborate on projects ranging from healthcare and agriculture to engineering and business.

The Position

This is a 12-month teaching and research position.  This assignment may change in accordance with the needs of the unit.  Duties include teaching graduate courses in biomedical and health related AI, such as Fundamentals of AI in Medicine and Clinical AI Design Studio courses, as well as graduate student mentoring.   The successful candidate will also establish and maintain an energetic, independent research program utilizing AI in medicine.

The ideal candidate for this position will have a strong background in AI and its applications in medicine or the biomedical sciences, demonstrated teaching expertise, and evidence of a developing publishing and research portfolio.

Salary is negotiable, commensurate with education and experience.

• Healthcare domain experience and/or knowledge
• Formal training in clinical care or the biomedical sciences
• Teaching experience across various modalities: face-to-face, hybrid, online
• Experience teaching various student populations
• Documented evidence of productivity, based on publications in appropriate peer reviewed journals and successful competition for external funding

Please attach curriculum vitae and three letters of recommendation.

Final candidate will be required to provide official transcript to the hiring department upon hire. A transcript will not be considered "official" if a designation of "Issued to Student" is visible. Degrees earned from an education institution outside of the United States are required to be evaluated by a professional credentialing service provider approved by the National Association of Credential Evaluation Services (NACES), which can be found at http://www.naces.org/.

Application must be submitted by 11:55 p.m. (ET) of the posting end date.