Postdoctoral Associate in Unsupervised and Generative Machine Learning for Chemistry and Drug Design University of Florida in United States

University of Florida is advertising a Postdoctoral Associate position in the Department of Chemistry, based in Gainesville, Florida, USA, for research in unsupervised learning, generative machine learning, representation learning, and drug design / chemical applications.

The project is led by Dr. Ramon Miranda Quintana in the Department of Chemistry. The role focuses on the development, implementation, and application of hyper-efficient unsupervised learning techniques to chemical problems, with emphasis on improving representation learning and generative methods.

Academic background: Applicants must hold a PhD in Chemistry or a related area. Strong Python coding and algorithm design skills are required, along with expertise in machine learning tools for chemistry, particularly generative AI. Experience with Python, ML, and AI for chemical applications is required.

Preferred experience: Familiarity with HPC systems, a proven research track record in ML/AI for chemistry, a strong coding foundation in Python, and knowledge of C++ and CUDA.

Funding and appointment: The position is a postdoctoral appointment with a competitive salary commensurate with qualifications and experience, plus a full benefits package. The initial appointment is for one year and may be renewed for up to two additional years depending on performance, conduct, and availability of funds.

How to apply: Submit the application online through the University of Florida portal. A complete application includes a letter of application, CV, and at least two references. Letters of recommendation will be requested later for selected applicants. Applications are reviewed immediately and the position remains open until filled.

Additional notes: Candidates with degrees earned outside the United States may need a NACES-approved credential evaluation. The posting also notes that official transcripts will be required upon hire.