Post Doc Research Fellow - Z. Liang

Position: Post Doc Research Fellow - Z. Liang #2
Position Summary:

This postdoctoral position will collaborate closely with plant breeders to develop and implement data-driven solutions that accelerate genetic gain in small grain cereals. The successful candidate will focus on integrating genomic selection, predictive modeling, and epigenetic insights to enable the development of resilient, high-yielding cultivars. The position will contribute to advancing next-generation breeding strategies by incorporating epigenetic variation into genomic prediction frameworks and translating these advances into practical tools for breeding programs.

A strong emphasis will be placed on developing breeder-oriented solutions, including decision-support pipelines and scalable genomic selection models. In addition, the postdoctoral researcher will work with the supervisor on plant epigenetics research, including the role of epigenomic variation in trait expression and adaptation.

Key responsibilities include:

* Designing and executing experiments in plant genomics and epigenetics

* Developing and applying genomic selection and predictive modeling approaches

* Integrating multi-omics datasets (e.g., genomic, epigenomic, phenotypic)

* Collaborating with breeders and interdisciplinary research teams

* Managing greenhouse and/or field experiments and plant materials

* Analyzing large-scale sequencing datasets using high-performance computing (HPC)

* Presenting research findings at scientific conferences

* Preparing manuscripts for peer-reviewed publications

Minimum Qualifications:

* Ph.D. in Plant Science, Plant Biology, Plant Breeding, Plant Pathology, Genomics, or a closely related field

* Demonstrated experience working with next-generation sequencing (NGS) data

* Experience in genomic analyses using high-performance computing (HPC) environments

* Background in plant breeding, QTL mapping, genomic selection, and/or predictive modeling

* Strong publication record in peer-reviewed scientific journals

* Excellent written and oral communication skills

Preferred Qualifications:

* Experience developing and implementing genomic selection models

* Familiarity with epigenetics or epigenomics (e.g., DNA methylation, chromatin accessibility) and their application in plant systems

* Programming experience in R, Python, and Unix/Linux environments

* Experience working in Linux-based systems and managing bioinformatics pipelines

* Demonstrated ability to translate research outputs into applied breeding tools or decision-support systems

Advertised salary: $55,000 +/yr (commensurate with experience)

Application Materials Needed:

Applicants must submit:
1) a cover letter discussing how the stated qualifications are met and their research interests;
2) a detailed curriculum vitae;
3) contact information (including phone numbers, institutional addresses, and email addresses) of two current professional references from the most recent positions held.

Screening Date:

Review of applications will begin July 8, 2026, and continue until the position is filled.

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