Postdoctoral Researcher in AI for Molecular Materials

3 weeks ago


Gainesville, Florida, United States InsideHigherEd Full time
Job Title:

Postdoctoral Associate in Chemistry and AI

Job Summary:

The Department of Chemistry at the University of Florida is seeking a highly qualified Postdoctoral Associate to join our research team in a transformative project aimed at revolutionizing chemistry through foundational AI models. The successful candidate will develop a novel molecular-graph diffusion model that addresses the challenges of chemical space complexity, data heterogeneity, and the computational demands of data generation across a broad spectrum of materials and properties.

Responsibilities:
  • Develop a molecular-graph diffusion model for chemical space complexity and data heterogeneity
  • Fine-tune the model for specific applications using context-driven multimodal learning techniques
  • Collaborate with the research team to advance the project's goals and objectives
Requirements:
  • PhD in Chemistry, Materials Science, Computer Science, or a related field with a strong computational component
  • Experience with deep learning and machine learning models, particularly in the context of chemical or molecular applications
  • Proficiency in programming languages such as Python, and familiarity with AI frameworks (e.g., TensorFlow, PyTorch)
Preferred Qualifications:
  • Demonstrated ability to handle large datasets and perform complex computational analyses
  • Excellent communication skills and the ability to work collaboratively in a dynamic research environment
What We Offer:

The University of Florida offers a competitive salary and a full benefits package. The Department of Chemistry is committed to promoting an environment that welcomes all abilities, classes, ethnicities/races, gender identities and expressions.

How to Apply:

For full consideration, applications must be submitted online. Please attach your CV, a cover letter detailing your relevant experience and career objectives, and the names and email addresses of three references. An email will be sent to your references, requesting them to upload their confidential letter to the submission packet.



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