Jiang Group | Computational Materials and Product Design

About the Jiang Group

We develop computational methods to design soft materials and product systems for energy and sustainability.

Our approach integrates:

• Molecular modeling and simulation to understand structure, dynamics, and transport in soft materials
• Machine learning – including generative AI, geometric and topological deep learning, and physics‑informed models – to guide materials design
• Systems engineering to bridge materials design and real‑world performance

Key research areas:

1. Plastic upcycling and circular polymers
2. Polymer electrolytes and ion‑conducting membranes
3. Multiscale modeling of soft materials in complex fluids and processing

We aim to create materials that are not only high‑performing, but also synthesizable, stable, and scalable.

Join Us

We are recruiting two PhD students (start: Fall 2026 and Spring 2027) and one postdoctoral researcher to work on AI‑driven soft materials design.

If you’re drawn to problems at the intersection of simulation, machine learning, and theory, we’d be glad to hear from you.

See the openings page for full details and application instructions, or email sjiang87@shenglijiang.com directly.