Molecular and Material Modeling Lab
Research Field
Dr. Jer-Lai Kuo’s research interests include First-Principle Studies of Molecular systems and Materials and Application of Artificial Intelligence in Material Discovery/Design.
Dr. Jer-Lai Kuo’s career experience is listed below:
Research Fellow, Institute of Atomic and Molecular Science, Academia Sinica, Taiwan (2014.3–)
Associate Research Fellow, Institute of Atomic and Molecular Science, Academia Sinica, Taiwan (2009.4)
Assistant Professor, Nanyang Technological University, Singapore (2004.12)
Postdoctoral Fellow, University of Pennsylvania, USA (2003.1)
We are a vibrant research group with research interests in computational physics and chemistry. Our lab in IAMS of Academia Sinica locates in the campus of National Taiwan University. Our group members comes from different parts of the world.
Molecular and Material Modeling Lab
Young Research Award, School of Physical & Mathematical Science, Nanyang Technological University, Singapore (2008)
Young Research Award, Foundational For Advancement of Outstanding Scholarship, Taiwan (2009)
Distinguish Lectureship Award in Physical Chemistry by Chemical Society of Japan, March 2011
Career Development Award, Academia Sinica, Jan 2011
Distinguish Lectureship Award in Theoretical Chemistryby Chemical Society of Japan, March 2012
Junior Researcher Award, Academia Sinica, June 2012
Young Scholars' Creativity Award, Foundational for Advancement of Outstanding Scholars, Taiwan, July 2013
Promsing Scientist Award of CMOA, France, December 2013
Young Scholar Award, Shui-Mu Foundation of Chemistry, Taiwan, April 2014
Mid-career Award, Asian Consortium on Computational Materials Science, Japan, September 2016
Asia Special Lecture Award in Theoretical Chemistry, Chemical Society of Japan, March 2019
Presidential Scholar Award, Academia Sinica, Taiwan, August 2022
Outstanding Research Award, National Science and Technology Council, Taiwan, 2024
Ph.D., Chemical Physics, 2003, Ohio State University, USA
2 Vacancies
Job Description
In the project on Exploring Chemical and Physical Spaces of Molecular Systems with Human and Artificial Intelligence, we apply deep-learning neural network potential to explore structures and reactions in hydrogen-bonded systems, sugar and peptides.
References (1) Phys. Chem. Chem. Phys. 25, 5817 (2023), (2) Phys. Chem. Chem. Phys. 25, 3332 (2023), (3) Phys. Chem. Chem. Phys. 26, 9556 (2024) and (4) Phys. Chem. Chem. Phys. 26, 11125 (2024).
Preferred Intern Education Level
Applicants should be currently undergraduate/graduate students from overseas universities in Physics, Chemistry and related fields.
Skill sets or Qualities
Have experience in reading scientific publication. Prior experience in Linux and coding with python is a big plus.
2 Vacancies
Job Description
Our team consists of several experimental teams in Taiwan, Japan and France to measure vib. spectra of small-sized molecules. Our role is to perform quantum chemistry simulations to understand the structures/reactions of molecular systems of astrochemically important species.
References: (1) J Phys. Chem. Lett. 11, 10067 (2020), (2) Angewandte Chemie., 60, 1936 (2021) and (3) J. Phys. Chem. A 125, p. 4306 (2021)
Preferred Intern Education Level
The interns should have background understanding on the fundamental and application of vibrational spectroscopy to understand molecular structure. Applicants should be currently undergraduate/graduate students from overseas universities in Physics, Chemistry and related fields.
Skill sets or Qualities
Basic knowledge of quantum mechanics and physical chemistry is required. Prior experiences in using Linux and coding in python is a BIG plus.