AI-Driven Discovery Scientist

5 days ago


Jacksonville, Florida, United States University of Florida Full time
Job Title: Adjunct Assistant Scientist in AI-Driven Discovery in Chemistry

We are seeking an exceptional Adjunct Assistant Scientist to join our team in the Department of Chemistry at the University of Florida. The successful candidate will work on a project led by Dr. Mingjie Liu, focusing on the development of Machine Learning Interatomic Potentials (MLIPs) and their applications in computational chemistry.

Key Responsibilities:
  • Develop and apply MLIPs for materials discovery and design
  • Work on cutting-edge projects involving 2D and 3D structure prediction and property exploration for materials
  • Collaborate with the research team to advance the project goals
  • Contribute to the development of uncertainty quantification (UQ) and active learning (AL) methods for MLIP development
Requirements:
  • PhD in chemistry, materials science, physics, or a related field
  • Postdoctoral research experience in related areas is highly preferred
  • Strong publication record in peer-reviewed journals in the areas of materials modeling, MLIP development, and computational chemistry
Preferred Qualifications:
  • Experience with data-driven approaches in materials discovery and design
  • Proficiency in UQ and AL techniques
  • Expertise in data preparation, analysis, and familiarity with structure prediction algorithms
What We Offer:
  • A dynamic and collaborative research environment
  • The opportunity to work on cutting-edge projects in AI-driven discovery in chemistry
  • A competitive salary and benefits package

For full consideration, please submit your application online, including a letter of application, a complete curriculum vitae, a statement on research goals, and a list of at least three references. Applications will be reviewed beginning October 8, and the position will remain open until filled.



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