We Lab
Omics Platform

Join Us

We welcome motivated students and researchers who are interested in wheat genomics, regulatory genomics, population genetics, multi-omics integration, and computational biology. Prospective students and researchers with strong curiosity, quantitative thinking, and collaborative spirit are encouraged to contact us.

Opportunities

We are open to recruiting and mentoring researchers at multiple stages.

Graduate Students

  • PhD students interested in wheat genomics, regulatory genomics, population genetics, and multi-omics integration.
  • Master's students interested in genomics, bioinformatics, crop genetics, and data-driven biology.

Postdoctoral Researchers

  • Postdoctoral researchers with backgrounds in genetics, genomics, epigenomics, bioinformatics, computational biology, or related fields.

Visiting Students / Interns

  • Visiting students or short-term trainees with interests in genomics, data analysis, or crop biology.

Who We Encourage to Apply

  • Students with backgrounds in genetics, genomics, bioinformatics, computational biology, computer science, statistics, plant science, or related areas are encouraged to apply.
  • Applicants with experience in programming, data analysis, sequencing data processing, machine learning, or crop biology are especially welcome.

How to Apply

  1. Prepare a brief CV describing your educational background, research experience, technical skills, and publications if available.
  2. Send an email with a short introduction of your background, research interests, and the position you are applying for.
  3. You may also include transcripts, representative work, or other supporting materials if relevant.

We are always interested in hearing from enthusiastic students and researchers who want to work at the interface of crop genomics, gene regulation, and data-driven biology.

Research Areas

Regulatory Genomics

Understanding how noncoding regulatory variation shapes chromatin accessibility, gene expression, and complex traits.

Population Genetics

Exploring population structure, haplotype architecture, domestication, and evolutionary dynamics in crop genomes.

Multi-omics Integration

Integrating ATAC-seq, RNA-seq, GWAS, TWAS, eQTL, and caQTL to connect genotype, regulation, and phenotype.

Computational Biology and AI

Developing computational and deep learning approaches for large-scale omics data analysis and regulatory prediction.