Chemistry Post-Doctoral Associate - Unsupervised and Generative Machine Learning

Chemistry Post‑Doctoral Associate – Unsupervised and Generative Machine Learning

Job Number: 539783 | Work Type:
Full Time |

Location:

Main Campus (Gainesville, FL) | Categories:
Grant or Research Administration, Artificial Intelligence, Physical/Mathematical Sciences | Department:  - LS-CHEMISTRY-GENERAL

A Post‑doctoral Associate in Theoretical Chemistry will work on a project in unsupervised and generative machine learning for chemical applications led by Dr. Ramon Miranda Quintana in the Department of Chemistry. The role involves the development, implementation, and application of hyper‑efficient unsupervised learning techniques to chemical problems, with a focus on improving representation learning and generative methods.

Employment is initially awarded for one year. Upon strong performance, conduct, and availability of funds, the position may be renewed for up to two additional years.

• Develop, implement, and apply hyper‑efficient unsupervised learning techniques to chemical problems.
• Improve representation learning and generative methods for chemistry applications.

• PhD in Chemistry or a related field.
• Strong coding (Python) and algorithm design skills.
• Expertise in machine‑learning tools for chemistry, particularly generative AI.
• Experience with Python, machine‑learning, and AI for chemical applications.

• Familiarity with HPC systems.
• Proven track record of research in machine‑learning/AI for chemistry.
• Strong coding foundation in Python.
• Knowledge of C++ and CUDA.

Salary is competitive and commensurate with qualifications and experience. The compensation package includes a full benefits plan.

The University of Florida is an Equal Employment Opportunity Employer.