Post-Doctoral Associate in Artificial Intelligence and Quantum Chemistry

University of Florida; Gainesville (FL); On-site; USD 52,000 - 68,000; Full time

Job summary

The University of Florida invites applications for a Post-Doctoral Associate in Artificial Intelligence and Quantum Chemistry on the Main Campus in Gainesville. The project explores the interface of AI for quantum chemistry and aims to extend and accelerate simulations of complex molecules.

A PhD in physical/theoretical chemistry or AI/ML is required. Experience applying ML to quantum chemistry and programming in Python and C++ is essential.

Qualifications

• PhD required in physical/theoretical chemistry or AI/ML.
• Experience applying ML to quantum chemistry and programming in Python and C++.
• Willingness to mentor graduate students.

Responsibilities

• Research AI/ML techniques to extend and accelerate quantum chemical simulations, focusing on complex molecules.
• Collaborate with Dr. Thorpe's group and mentor graduate students as part of the project.

Skills

Python

C++

ML in QC

Education

PhD in physical/theoretical chemistry

PhD in AI/ML

Job description

Post-Doctoral Associate in Artificial Intelligence and Quantum Chemistry

Job No: 541331

Work Type: Full Time

Location: Main Campus (Gainesville, FL)

Categories: Office/Administrative/Fiscal Support, Artificial Intelligence, Physical/Mathematical Sciences

Department: 16120100 - LS-CHEMISTRY-GENERAL

Job Description

Classification Title: Post-Doctoral Associate in Artificial Intelligence and Quantum Chemistry

Classification Minimum Requirements: A Ph.D. in physical/theoretical chemistry or artificial intelligence/machine learning (or related fields).

Job Description: A Post-doctoral Associate in Artificial Intelligence and Quantum Chemistry position is available to work in a project exploring the interface of AI for QC led by Dr. Thorpe in the Department of Chemistry. The research will focus on the development and implementation of AI/ML techniques to extend and accelerate quantum chemical simulations of complex molecules and reactions.

Must have PhD in Physical/Theoretical Chemistry or Artificial Intelligence/Machine Learning or related fields. This position will be initially awarded for one year, and, contingent upon strong performance and conduct and availability of funds, may be renewed for up to three years.

Expected Salary: 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 Qualifications

• Experience in the implementation and application of machine learning to quantum chemistry and a programming background in Python and C++.

Preferred

• Familiarity with wavefunction-based quantum chemistry.
• Experience and interest in fundamental studies of chemical reactions, kinetics, thermochemistry, and spectroscopy.
• Interest in mentoring graduate students.

Health Assessment Required: No

Applications Close: 15 December 2026

Our Commitment

The University of Florida is an Equal Employment Opportunity Employer.

Hiring is contingent on eligibility to work in the U.S. The University of Florida is a public institution and is subject to all requirements under Florida Sunshine and Public Record laws. If an accommodation due to a disability is needed to apply for this position, please call 352-392-2477 or the Florida Relay System at 800-955-8771 (TDD) or visit Accessibility at UF.

All candidates for employment are subject to a pre-employment screening which includes a review of criminal records, reference checks, and verification of education.

The selected candidate will be required to provide an official transcript to the hiring department upon hire. A transcript will not be considered “official” if a designation of “Issued to Student” is visible. Degrees earned from an educational institution outside of the United States require evaluation by a professional credentialing service provider approved by the National Association of Credential Evaluation Services (NACES), which can be found at http://www.naces.org/.