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Peng Liu

4 days ago

Postdoctoral Scholar in Computational Chemistry and Machine Learning for Catalysis University of Pittsburgh in United States

Degree Level

Postdoc

Field of study

Computer Science

Funding

Available

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Country

United States

University

University of Pittsburgh

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Keywords

Computer Science
Chemistry
Chemical Engineering
Materials Science
Organic Chemistry
Biology
Catalysis
Computational Chemistry
Molecular Dynamics
Biocatalysis
Density Functional Theory
ML

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About this position

Postdoctoral Scholar in Computational Chemistry and Machine Learning at the University of Pittsburgh.

The Peng Liu group is hiring a postdoctoral scholar to work on computational chemistry for catalytic organic reactions, with a strong emphasis on mechanism discovery and predictive catalyst/reaction design. The project combines transition-metal catalysis, organic reaction mechanisms, biocatalysis, and machine learning to study C–H/C–C activation, alkene functionalization, cross-coupling, ligand effects, radical and photocatalytic reactions, non-covalent interactions, catalyst flexibility, and dynamics in solution.

The successful candidate will use a broad computational toolkit including DFT, high-level ab initio methods, classical and ab initio molecular dynamics, enhanced sampling, QM/MM, machine-learned interatomic potentials, and graph neural networks. The work is supported by dedicated group HPC resources and is closely connected to experiments through collaborations with 50+ synthetic chemistry groups and industry partners.

Eligibility highlights: PhD in computational chemistry, organic chemistry, or a related field; strong background in electronic structure calculations and/or molecular dynamics; experience with ML/data-driven modeling, programming, and experimental collaboration is highly valued.

Application: submit a cover letter, CV with publication list, and reference contacts via the application link. A research statement is optional. Review begins immediately and continues until the position is filled.

Funding details

Available

What's required

PhD in computational chemistry, organic chemistry, or a related field. Strong background in electronic structure calculations and/or molecular dynamics simulations is required. Experience with machine learning or data-driven modeling, programming, and experimental collaborations is highly valued.

How to apply

Apply through the linked application portal. Submit a cover letter, CV with publication list, and reference contacts; a research statement is optional. Review begins immediately and continues until the position is filled.

More information can be found here

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