Location: University of Florida/Department of Chemistry

Duration: 1 year with the possibility of extension

Overview

A postdoc position is available in the group of Prof. Mingjie Liu in the Department of Chemistry at the University of Florida, starting August 2024 or later. We are at the forefront of integrating artificial intelligence with materials science and chemistry. We are dedicated to innovating the next generation of materials and molecular discovery through cutting-edge computational techniques and AI models. The information about the group can be found at liu.chem.ufl.edu

Responsibilities

- Develop and implement advanced machine learning and deep learning models to predict new materials and molecule properties.

- Conduct high-throughput computational simulations using MLIP, DFT, TD-DFT, QM/MM, Kinetic Monte Carlo, and MD to study material and molecular properties.

- Utilize generative models for the design and discovery of novel compounds.

- Conduct high-throughput computational simulations for materials science and computational chemistry.

- Collaborate with an interdisciplinary team to design experiments and analyze data.

- Publish scientific papers and present findings at international conferences.

Qualifications

- PhD in Materials Science, Chemistry, Computational Biology, Computer Science, or a related field.

- Strong background in machine learning, deep learning, and generative models applied to scientific problems.

- Experience in computational chemistry, materials science, computational electrochemistry, or polymer science.

- Proficiency in programming languages such as Python and familiarity with ML frameworks (e.g., TensorFlow, PyTorch).

- Excellent written and verbal communication skills in English.

How to Apply

Please submit your application including a cover letter, detailed CV, and contact information for three references via [email protected]. Ensure that your cover letter highlights relevant experience and research interests. Due to the high volume of applications, only candidates selected for further consideration will be contacted.