Research Assistant (Computational Chemistry)

School of Chemistry, Chemical Engineering and Biotechnology is a new interdisciplinary school at NTU, inaugurated in August 2022 by integrating the Division of Chemistry and Biological Chemistry from the School of Physical and Mathematical Sciences with the School of Chemical and Biomedical Engineering. It is jointly run by the College of Science and the College of Engineering (https://www.ntu.edu.sg/cceb)

The Huiling Shao (Asst Prof) research group aims toward computational design of new organometallic catalysts and peptide drugs via:

1. Comprehensive mechanism elucidation via computational chemistry, reaction network analysis, and machine learning for organometallic catalytic reactions.

2. Design of membrane-permeable macrocyclic peptide drugs via machine learning structure prediction algorithm and molecular dynamics simulations.

For more details, please view https://www.huilingshaogroup.com/.

We are looking for a Research Assistant to design and execute independent and collaborative research projects, develop novel computational algorithms, and contribute to high-quality publication and grant-related activities. The position offers opportunities to work in a dynamic research environment with access to state-of-the-art facilities and strong interdisciplinary collaborations.

Key Responsibilities:

• Conduct and collaborative research in computational chemistry

• Participate in project planning, data collection and analysis to generate high-quality, reproducible research outcomes

• Prepare manuscripts for publication in high-impact journals and contribute to grant proposals and research reports

• Report on research progress and/or literature update in scheduled group meetings and individual meetings with the PI/research fellow

• Support the overall research mission of the lab by contributing to technology development, knowledge dissemination, and translational opportunities

Job Requirements:

• B.S in Chemistry with a focus on computational/peptide/organic/machine learning or a closely related discipline

• Good written and oral communication skills

• Strong analytical and problem-solving skills with the ability to work independently

• Experience in common computational chemistry software and coding techniques e.g. Gaussian/Amber/Schrödinger/python/bash

For more information, please contact Asst Prof Shao, Huiling ([email protected]).

We regret to inform that only shortlisted candidates will be notified.