Summary
The University of Florida’s Department of Chemistry is seeking a Post-Doctoral Associate to engage in research focused on unsupervised and generative machine learning applications in chemistry.
Post-Doctoral Associate in Unsupervised and Generative Machine Learning
Designation
Post-Doctoral Associate
| Category | Details |
|---|---|
| Research Area | Chemistry, Machine Learning |
| Location | Main Campus (Gainesville, FL) |
| Salary | Competitive, commensurate with qualifications and experience, full benefits package |
Eligibility/Qualification
- Required:
- PhD in Chemistry or a related area
- Strong coding skills in Python
- Expertise in machine learning tools for chemistry, particularly generative AI
- Experience with machine learning and AI applications in chemical contexts
- Preferred:
- Familiarity with HPC systems
- Proven research record in ML/AI for chemistry
- Knowledge of C++ and CUDA
Job Description
The Post-Doctoral Associate will work under the guidance of Dr. Ramon Miranda Quintana on the development and application of hyper-efficient unsupervised learning techniques for chemical problems. The position focuses on enhancing representation learning and generative methods.
The initial appointment is for one year, with the possibility of renewal for up to two additional years based on performance and funding availability.
How to Apply
- Submit a complete online application, including:
- A letter summarizing qualifications, interests, and suitability for the position
- A complete curriculum vitae
- A list of at least two references
- After the initial review, recommendation letters will be requested from selected references.
- Applications must be submitted online through the university’s job portal.
Last Date for Apply
Applications are accepted until the position is filled. Early submission is encouraged, as reviews will begin immediately.
For further details, visit University of Florida Job Posting.
