Ph.D. position
Are you excited about developing the next generation of algorithms for biology?
The Cai Lab is recruiting a Ph.D. student to work at the intersection of:
- Single-cell genomics & spatial transcriptomics
- AI & machine learning
- Gene regulatory networks & systems biology
- Quantum computing
Our goal is not simply to apply existing methods—we aim to invent fundamentally new computational approaches for understanding cellular identity, gene regulation, and disease using large-scale single-cell and multi-omics data.
Projects may include
- Foundation models for single-cell biology
- AI for biological discovery
- Gene regulatory network inference
- Causal learning from multi-omics data
- Quantum algorithms for computational biology
- Scalable methods for analyzing millions of cells
Backgrounds we welcome
We welcome applicants from a wide range of quantitative backgrounds, including:
- Computer Science
- Computational Biology / Bioinformatics
- Statistics & Data Science
- Applied Mathematics
- Physics
- Electrical & Computer Engineering
Prior experience in single-cell genomics is not required. Strong candidates with interests in algorithms, machine learning, optimization, or quantum computing are especially encouraged to apply.
If you are passionate about tackling challenging problems at the interface of computation and biology, I'd love to hear from you.
How to apply
To apply, please email me:
- Your CV
- A brief statement of research interests
- Unofficial transcripts
- Contact information for three references
- (Optional) GitHub, personal webpage, preprints, publications, or code repositories
Email: jcai@uga.edu
Please feel free to share this post with students or colleagues who may be interested.
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