8/31/2026: We are particularly seeking students with skills and interests in the following projects, though students with other interests are also welcome to apply: (1) leveraging graph neural networks to integrate GWAS and genomic knowledge graphs for identifying causal links between variants, cis-regulatory elements, genes, and cell types, related to KGWAS; (2) develop a Bayesian fine-mapping framework for identifying disease-critical cell populations by integrating GWAS with scRNA-seq, related to scDRS-FM, scDRS; (3) improving the calibration of TWAS fine-mapping for genes and cell types, related to TGFM; (4) developing multi-agentic systems for automatic method development and data analysis in statistical genetics, related to TusoAI;
The Zhang Lab is seeking 0-1 postdoctoral researcher. The researcher will work with Dr. Martin Zhang on problems in statistical genetics and machine learning, involving algorithm design, software implementation, and studying problems in statistical and/or evolutionary genetics. The researcher will have the flexibility to choose their projects or propose new projects, broadly in line with the lab’s research directions. Dr. Zhang will provide hands-on guidance in conducting research and writing papers, as well as ample opportunities for collaboration (within and outside CMU) and presenting research works. Dr. Zhang will support the researcher’s application for a Lane Fellow, a prestigious postdoctoral fellowship program in CMU computational biology.
Qualifications:
Apply: please contact Dr. Martin Zhang via email with the title “Applying for a postdoctoral researcher position in Martin Zhang’s Lab” and include your CV, a short introduction, and your research interests.
The Zhang Lab is seeking 0-1 highly-motivated PhD students. The students will work with Dr. Martin Zhang on problems in statistical genetics and machine learning, involving algorithm design, software implementation, and studying problems in statistical genetics. The students will have the flexibility to choose their projects or propose new projects, broadly in line with the lab’s research directions. Dr. Zhang will provide hands-on guidance in conducting research and writing papers, as well as ample opportunities for collaboration (within and outside CMU) and presenting research works.
Qualifications:
Apply: please contact Dr. Martin Zhang via email with the title “Applying for a PhD student position in Martin Zhang’s Lab” and include your CV, a short introduction, and your research interests. This position is only available to admitted PhD students at CMU. It usually starts with a rotation in the lab and may later evolve into a formal alignment.
The Zhang lab welcomes graduate and undergraduate research interns from CMU. The students will work with a more senior trainee and Dr. Martin Zhang on problems in statistical genetics and machine learning. The students will have the flexibility to choose their projects or propose new projects, broadly in line with the lab’s research directions. The projects are expected to have a smaller scale and a short cycle (e.g., 6-9 months for a conference or a short journal submission). Currently, the number of available positions is limited by the mentoring capacity of our senior trainees.
Qualifications:
Apply: please contact Dr. Martin Zhang via email with the title “Applying for a research intern position in Martin Zhang’s Lab” and include your CV, a short introduction, and your research interests. This position is usually unfunded with exceptions. CMU Master’s students can register for research credits. CMU Master’s students, when not registering for research credits, may be compensated with a standard hourly pay; the paid position usually requires the student to be highly experienced.