Chemistry Post-Doctoral Associate - Unsupervised and Generative Machine Learning
Listed on 2026-05-16
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Research/Development
Data Scientist -
IT/Tech
Machine Learning/ ML Engineer, Data Scientist, AI Engineer
Classification Title
Post-Doctoral Associate in unsupervised and generative ML for chemistry
Job DescriptionA Post-doctoral Associate in Theoretical Chemistry is available for work on a project in unsupervised and generative ML for chemical applications 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 improvements to representation learning and generative methods. The position is initially awarded for one year, with potential renewal for up to two years based on performance, conduct, and funding availability.
ExpectedSalary and Benefits
Salary is competitive and commensurate with qualifications and experience. The compensation includes a full benefits package.
Required Qualifications- PhD in Chemistry or related area
- Strong coding (Python) and algorithm design skills
- Expertise on ML tools for chemistry, especially generative AI
- Experience with Python, ML, and AI for chemical applications
- Familiarity with HPC systems
- Proven track record of research in ML/AI for chemistry
- Strong coding foundation (Python)
- Knowledge of C++ and CUDA
The University of Florida is an Equal Employment Opportunity Employer.
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