About This Role

The Agronomy Department at Kansas State University is seeking a highly motivated Postdoctoral Fellow to conduct research in the quantitative genetics of abiotic stress tolerance under the supervision of Dr. Aaron Kusmec. The successful candidate will lead research to develop models that integrate genomics, phenomics, and enviromics to dissect, predict, and select for abiotic stress tolerance. This research will combine computational analysis, high-throughput field-based phenotyping for plant functional traits, and mutant analysis. The successful candidate will be expected to disseminate results through peer-reviewed publications and participation in scientific meetings.

About Us

Our faculty and staff are leading the charge in groundbreaking research and technology for agriculture. By combining classroom, lab, and field experiences, we encourage learning and knowledge across disciplines. Join us and help move agronomy into the future.

Worksite Option

This position is required to be performed on-site. Work is performed on employer premises or designated assignment location.

Visit this link for K-State’s guidance and policies on remote work and flexible work arrangements. Remote work agreements are required for all flexible work arrangements and are subject to review.

What You'll Need to Succeed

Minimum Qualifications:

• Ph.D. in genetics, plant breeding, statistics, or closely related discipline
• Proficiency in R/Python programming

Preferred Qualifications:

• Ph.D. in quantitative/statistical genetics
• Excellent written and oral communication skills demonstrated by peer-reviewed publications and scientific presentations
• Ability to work independently and collaboratively
• Strong competency in statistical analysis, particularly mixed linear models and analysis of multi-environment trials
• Experience in analysis and manipulation of genomics, phenomics, and enviromics datasets
• Experience with molecular genetics lab techniques

How to Apply

Please submit the following documents:

1. Cover letter addressing qualifications and articulating interest in the position (maximum 2 pages)
2. Statement of research interests (maximum 2 pages)
3. Curriculum vitae
4. Names and contact information for three professional references

Screening of Applications Begins

Immediately and continues until position is filled.

For best consideration, apply by 31 January 2025.

Anticipated Hiring Pay Range

$47,476 - $60,000 annually