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Postdoctoral Researcher in Computational Chemistry
1 month ago
We are seeking a highly motivated Postdoctoral Researcher in Computational Chemistry to join our team at the University of Florida. The successful candidate will work on a project focused on computational modeling and AI-driven discovery for materials and molecules, led by Dr. Mingjie Liu in the Department of Chemistry.
The position involves conducting high-throughput computational simulations using MLIP, DFT, TD-DFT, QM/MM, Kinetic Monte Carlo, and MD to study material and molecular properties. The candidate will also develop and implement advanced machine learning and deep learning models to predict new materials and molecule properties.
Collaboration with an interdisciplinary team to design experiments and analyze data is essential. The successful candidate will publish scientific papers and present findings at international conferences.
This is a one-year position, with the possibility of renewal for up to one year, contingent upon strong performance and conduct and availability of funds.
The University of Florida is a leading institution with a strong reputation for research and academic excellence. The Department of Chemistry is committed to promoting an environment that welcomes all abilities, classes, ethnicities/races, gender identities and expressions.
We particularly welcome applicants who can contribute to such an environment through their scholarship, teaching, mentoring, and professional service.
Responsibilities:
- Conduct high-throughput computational simulations using MLIP, DFT, TD-DFT, QM/MM, Kinetic Monte Carlo, and MD to study material and molecular properties.
- Develop and implement advanced machine learning and deep learning models to predict new materials and molecule properties.
- Collaborate with an interdisciplinary team to design experiments and analyze data.
- Publish scientific papers and present findings at international conferences.
Requirements:
- PhD in Materials Science, Chemistry, Computational Biology, Computer Science, or a related field.
- Strong background in molecular dynamics, machine learning, and deep learning applied to scientific problems.
- Experience in computational chemistry, materials science, computational electrochemistry, or polymer science.
- Excellent written and verbal communication skills in English.
Benefits:
- Competitive salary and benefits package.
- Opportunity to work with a talented team of researchers.
- Access to state-of-the-art research facilities.
How to Apply:
Applications must be submitted online. A complete application includes a letter of application, a complete curriculum vitae, a statement on teaching and research goals, and a list of at least three references.
