Chemistry Post-Doctoral Associate - Unsupervised and Generative Machine Learning

Job Description

A 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. We have a position available in our group to work 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.

Required Qualifications

• PhD in Chemistry or related area
• Strong coding (Python) and algorithm design skills
• Expertise on ML tools for chemistry, in particular, generative AI
• Experience with Python, ML, and AI for chemical applications

Preferred Qualifications

• Familiarity with HPC systems
• Proven track record of research in ML/AI for chemistry
• Strong coding foundation (Python)
• Knowledge of C++ and CUDA

Salary and Benefits

The salary is competitive and commensurate with qualifications and experience, and the compensation includes a full benefits package. To see more, visit benefits.hr.ufl.edu.

Required Documents

• A letter of application summarizing the applicant's qualifications, interests, and suitability for the position
• A complete curriculum vitae
• A list of at least two references

Application Process

To apply, click on Apply Now at the top of this posting. Applications must be submitted online. Applications will be reviewed beginning immediately, and the position will remain open until filled.