Tao Cheng Professor

• 2009.9 - 2012.9
  Ph.D.in Chemistry
  School of Chemistry and Chemical Engineering (SCCE)
  Shanghai Jiao Tong University (SJTU)
  Advisor: Prof. Huai Sun

• 2007.9 - 2009.6
  M.S. in Chemistry
  SCCE, SJTU

• 2003.9 - 2007.7
  B.S.in Chemistry
  SCCE, SJTU

• 2018.11 - now
  Professor
  Institute of Functional Nano & Soft Materials (FUNSOM),
  Soochow University

• 2015.10 - 2018.10
  Research Scientist
  Joint Center for Artificial Photosynthesis, Caltech

• 2012.10.24 - 2015.10.26
  Postdoc
  Materials and Process Simulation Center, Caltech
  Division of Chemistry and Chemical Engineering, Caltech
  with Prof. William A Goddard III

Selected

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2024

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2023

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2022

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2021

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2020

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2019

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2018

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2017

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2016

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2015

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2014

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before 2014

Postdoctoral scholar positions available in the Soochow University-Caltech International Center of Multiscale nanoMaterials Genome (SC-nMG), Soochow University in Suzhou, Directed by Professor William A. Goddard III

Professor William A. Goddard III from SC-nMGwould like to interview exceptional candidates for several postdoctoral scholar positions at Soochow. Interviews can be conducted via Zoom.

The SC-nMG joint center focuses on using both Quantum Mechanics (QM) and QM based multiscale reactive molecular dynamics (MD) to predict and explain the properties and performance of

·           Electrocatalysts for CO₂ reduction to organics, water splitting (hydrogen evolution reaction and oxygen evolution reaction), nitrogen evolution reaction to NH3, and oxygen reduction reaction (fuel cell cathode)

·           Two-dimensional materials for electronics and catalysis

·           Membrane proteins for signaling

·           Other nanoscale materials

The SC-nMG joint center also focuses on developing new methods for more accurate methods for Quantum Mechanics (QM) and QM based multiscale reactive molecular dynamics (MD).

This requires the ability to write and modify computer programs written in languages such as C and scripting languages such python.

Examples of research areas being pursued can be found in recently published papers:

https://caltech-msc.github.io/publications/pubs-current.html

Applicant background expected:

1.      PhD in chemistry, physics, materials science, chemical engineering, biosciences, or computer science;

2.      Research Experience in computer based atomistic simulations using QM and/or MD

3.      Proficiency in using established MD software package such as LAMMPS, GROMACS, NAMD, and AMBER

4.      Proficiency in using established QM software package such as VASP, Quantum Expresso, Gaussian, and Jaguar

5.      Knowledge of enhanced sampling methods and free energy calculations.

6.      Knowledge of and Experience in machine learning methods

7.      able to reason about molecules and solids in terms of atomistic structures;

8.      Strong learning ability, able to complete routine research projects independently;

9.      Careful, responsible, hardworking, with good teamwork

10.  Excellent communication in spoken and written English.

Most important is to be very smart, resourceful, and unafraid to tackle impossible problems.

Qualified applicants should send:

1. CV with contact information and list of publications

2. Three personal references familiar with your background and accomplishments. Include phone numbers, fax numbers, and e-mail addresses, so we can contact them.

3. One paragraph description of how your background is appropriate for our projects

4. Two paragraph description of your career goals and how this position would be consistent with your goals.

5. pdf files for your best 3 publications

These materials should be sent in a single PDF file via e-mail to wag@caltech.edu with a copy to wag@suda.edu.cn and tcheng@suda.edu.cn

Salary and benefits:

The salary is 200,000-300,000 China Yuan;

May require visiting universities and national laboratories abroad (Such as Caltech);

Support for applying for post-doctoral funds, the National Natural Science Foundation of China, etc.;

The SC-nMG research team has sufficient funds and a good research environment.