Join Us
We are particularly excited by questions such as:
- How can we build accurate and efficient models for large biomolecular systems across time and length scales?
- Can we develop transferable enhanced sampling strategies that go beyond a single system?
- Instead of making AI explainable, can we use AI to explain molecular dynamics simulations themselves?
To tackle these challenges, we combine statistical mechanics, molecular dynamics, and machine learning, and we actively seek new ways to rethink long-standing problems in molecular science.
Who We’re Looking For
We welcome curious and motivated researchers from diverse backgrounds, including (but not limited to):
- Chemistry
- Physics
- Biophysics
- Biology
- Computer Science
- Applied Mathematics
- Materials Science
Experience with enhanced sampling, coarse-grained modeling, or AI for chemistry is a plus—but not a requirement.
What matters most is intellectual curiosity, a strong quantitative foundation, and an interest in interdisciplinary research.
Open Positions
📢 We are actively recruiting:
- PhD students (Fall 2027)
- Postdoctoral researchers (starting 2026 or later)
There may be an opening for a Fall 2026 PhD position.
If you are interested, please reach out as soon as possible.
How to Apply
Please email the following materials to:
📧 yxw2626[at]case.edu
- Curriculum Vitae (CV)
- A brief description of your research interests (1–2 paragraphs is sufficient)
Email subject line format:
- PhD applicants:
[Application] PhD – Your Name – Current Institution - Postdoctoral applicants:
[Application] Postdoc – Your Name – Current Institution – Proposed Start Date
At this time, we do not have planned openings for interns, but motivated students are welcome to reach out to discuss future opportunities.
Our Commitment
We are committed to building an inclusive, collaborative, and supportive research environment.
Our group values open discussion, mutual mentorship, and intellectual risk-taking—and we believe that diverse perspectives are essential for scientific discovery.
If our research resonates with you, we would love to hear from you.