Postdoctoral Associate in Chemistry and AI: Join our cutting-edge research team at the University of Florida to revolutionize chemistry through foundational AI models for molecular materials.
Designation:
Postdoctoral Researcher in Foundational AI Models for Molecular Materials
Table:
| Position | Department | Location | Closing Date |
|---|---|---|---|
| Postdoctoral Associate | LS-CHEMISTRY-GENERAL | Main Campus (Gainesville, FL) | Open until filled |
Research Area:
Physical/Mathematical Sciences
Location:
Main Campus (Gainesville, FL)
Eligibility/Qualification:
- PhD in Chemistry, Materials Science, Computer Science, or related field with a computational focus
- Proficiency in Python and AI frameworks (e.g., TensorFlow, PyTorch)
- Experience in deep learning and machine learning models, especially in chemical or molecular contexts
- Ability to handle large datasets and perform complex computational analyses
Job Description:
The successful candidate will develop a novel molecular-graph diffusion model to address challenges in chemical space complexity, data heterogeneity, and computational demands in data generation for a range of materials and properties. Duties include training the model on a dataset of known molecular structures, fine-tuning it for specific applications using context-driven multimodal learning techniques.
How to Apply:
For full consideration, applications must be submitted online. Click on “Apply Now” at the top of this posting and attach the following documents:
- Your CV
- A cover letter detailing your relevant experience and career objectives
- The names and email addresses of three references
Last Date for Apply:
Applications will be continuously reviewed until the position is filled. For inquiries, please contact Professor Mingjie Liu at mliu@chem.ufl.edu
This job opportunity offers competitive salary and benefits, including a full benefits package. Come be a part of our groundbreaking research team and contribute to shaping the future of chemistry through AI models.
