Openings
We are actively looking for passionate Ph.D. students and research scholars who are interested in computational modeling for materials physics/chemistry and the general topics in AI4Science. You are welcome to get in touch if you agree with our group values:
- Our group is grounded in kindness and we strive to create an inclusive environment.
- We do not tolerate harassment or discrimination in any form.
- We value the importance of the methodology development & coding practice.
- We honor contributions from all group members.
- We ask for help and value direct communications (speaking > 20 sentences daily).
- We aim to tackle challenging scientific problems with a positive research mindset.
- We commit to acting with honesty & scientific integrity.
Graduate Students:
Interested in pursuing a PhD in science? We recommend you to watch the Seminar Talk before application. The presentation from Prof. Silvija Gradecak-Garaj is particularly useful. If you have a strong desire to pursue this path after considering thoroughly, you are welcome to get in touch.
In general, we are actively looking for candidates. Please check the timeline for application.
- B.S./M.S. in physics/chemistry/computer science/materials science or related fields
- TOFEL ≥ 90 or IELTS ≥ 6.5. GPA ≥ 80%. GRE is optional but preferred.
- Please email (1) your CV and (2) a description of your research topics of interest, and indicate which semester you would like to apply.
- We encourage excellent candidates to apply for PhD Fellowships:
- NUS-SINGA Scholarship [no service commitments]
- A*STAR Scholarship [with service commitments]
- AI Singapore Scholarship [with service commitments]
- President’s Graduate Fellowship [by nomination]
- The PhD positions are well-funded in our group. We do not accept self-funded students (including CSC scholarships).
- What we offer:
- We are a new research group offering hands-on training and opportunities to collaboratively explore exciting research areas.
- Our computational group focuses on both methodological development and applications. We will have close collaborations with experimental researchers.
- As a collaborative team, we encourage our graduate students to thrive in interdisciplinary research environments, find their interests, and develop their careers.
Postdoctoral Fellows:
- We do not have specific postdoc openings at this moment. However, if you have strong interest in working with us, you are welcome to get in touch with CV + research interest.
- I apologize that I may not be able to respond to every email. If we do not have any opennings, I will keep your materials on file and reach out if specific openings arise at a future date.
- Regardless of the above openings, we always encourage excellent candidates to apply for Postdoctoral Fellowships:
- As an independent research fellow, you will enjoy the research freedom while collaborating with the group.
- We particularly recommend the application for Eric and Wendy Schmidt AI in Science Postdoctoral Fellowship. Please (1) read the eligibility and requirements; (2) get in touch if you have the preferred qualifications & strong interests working on AI4Science.
- Other fellowships are potentially available to apply (e.g., LKY Fellowship and NUS Society of Fellows). Generally, successful candidates are expected to graduate from top universities or prestigious PhD programs.
Visiting Scholars:
- Please email Dr. Zhong directly to discuss (and indicate the funding resources for > six-month visit).
Contact: peichenzhong617@gmail.com
Please do not send application to the [.edu] email address. It is hard for me to track your application materials. Thank you!
Preferred Qualifications
We are looking for candidates who have a background in some of the following areas:
- Solid foundation in thermodynamics & statistical mechanics, solid-state physics/chemistry, and/or quantum mechanics
- Practical experience with density functional theory calculations (e.g., VASP, Quantum Espresso, Q-Chem, PySCF)
- Proficiency in at least one mainstream deep learning framework (e.g., PyTorch, JAX)
- Proficiency in scientific computing with Python libraries
- Expertise in (atomistic) thermodynamic & kinetic simulations (e.g., Monte Carlo, molecular dynamics)
- Expertise in computational chemistry (e.g., rare-event sampling, reaction network, high-throughput computation)