Aditya Nandy
Top university
1 week ago
PhD positions in molecular modeling, AI for chemistry, and multi-scale materials modeling at UCLA University of California, Los Angeles in United States
Degree Level
PhD
Field of study
Computer Science
Funding
The post announces up to 2 PhD student openings in the Molecular Modeling Laboratory at UCLA starting Fall 2027. No stipend, tuition, or funding details are provided.
Country
United States
University
University of California, Los Angeles

How do I apply for this?
Sign in for free to reveal details, requirements, and source links.
Apply for this position
Keywords
Suggested positions
About this position
Aditya Nandy, Assistant Professor of Chemical and Biomolecular Engineering at the University of California, Los Angeles (UCLA), is recruiting up to 2 PhD students for the Molecular Modeling Laboratory starting Fall 2027.
The group works on molecular modeling and computational research spanning physics-based and data-driven methods, including quantum chemistry, molecular dynamics, continuum modeling, and generative AI. Research interests include AI for chemistry, computational chemistry, multi-scale materials modeling, and understanding the behavior of materials and biological systems across scales.
This opportunity is especially well suited to students with a chemical engineering background. Prior computational experience is not required, making it accessible to motivated applicants who want to learn in an active, hands-on environment.
UCLA CBE uses direct-to-group admissions, so applicants should list Aditya Nandy as their first choice when applying in order to be considered for his group. More information about the lab and application process is available on the group website.
This is a PhD opening, not a scholarship announcement. No funding, stipend, or deadline details are stated in the post.
Funding details
The post announces up to 2 PhD student openings in the Molecular Modeling Laboratory at UCLA starting Fall 2027. No stipend, tuition, or funding details are provided.
What's required
Motivated PhD applicants with a chemical engineering background are the best fit. No prior computational experience is necessary. Students should be excited about an active, hands-on research environment and interested in AI for chemistry, computational chemistry, and multi-scale materials modeling.
How to apply
Apply through UCLA Chemical and Biomolecular Engineering graduate admissions and list Aditya Nandy as your first choice to be considered for his group. Visit the lab website for more information about the group and application guidance.
More information can be found here
Ask ApplyKite AI
Professors

How do I apply for this?
Sign in for free to reveal details, requirements, and source links.