4/22/2025

PhD Position in Computational Biology and Quantum Computing

The Cai Lab at Texas A&M University is recruiting a highly motivated PhD student with a background in computer engineering, electrical engineering, or a related field to work at the exciting intersection of computational biology and quantum computing.

Research Areas

• Quantum Gene Regulatory Networks: Develop quantum algorithms to simulate complex gene-gene interactions, uncovering regulatory mechanisms that drive single-cell behavior.
• Single-Cell Omics: Analyze high-dimensional single-cell data using advanced computational tools to decode cell states, transitions, and disease relevance.

Candidate Profile

• Background in computer engineering, computer science, or related disciplines.
• Strong programming skills (MATLAB, Julia, Python preferred).
• Experience with machine learning, data analysis, or systems modeling.
• Interest in interdisciplinary science and learning biological concepts.
• Quantum computing knowledge is a plus, but not required.

Opportunities

• Collaborate with experts across computational biology, physics, and genomics.
• Access to high-performance computing and quantum simulation platforms.
• Publish in top journals and present at major conferences.
• Contribute to high-impact research with biomedical applications.

How to Apply

Interested candidates should send the following materials to Dr. James Cai (jcai@tamu.edu):

• Cover letter describing research interests and motivation.
• Curriculum vitae (CV).
• Names and contact information of at least two academic references.

For more information, visit our lab website: https://cailab-tamu.github.io/

Join us in pushing the frontiers of biology with computation and quantum innovation.