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Human Capital Services

Fellow (Post Doc)

Apply now Department: 3670010110 Plant Pathology
Job no: 509238
Work type: Post Doc (Term)
Location: Manhattan, Kansas
Categories: Agriculture, Research / Scientific / Grants, Plant Sciences
Pay Grade: 001

About This Role:

The Akhunov Lab in the Department of Plant Pathology, KSU is seeking a candidate for a Postdoctoral Research Fellow position.

We are looking for a highly motivated, creative and open-minded candidate interested in integrating genetics, functional genomics, evolutionary biology and genome editing to map and characterize genes and pathways underlying variation in disease resistance and/or productivity traits in wheat with the final goal of applying this knowledge for crop improvement.

Duties include:

  • designing genetic mapping experiments aimed to associate genetic variation with phenotypic variation to identify factors contributing to trait variation in wheat;
  • developing experimental populations (bi-parental mapping populations, diversity panels, mutant populations) to map and validate the effects of genetic variants on phenotype;
  • collaborating with other members of a team to facilitate on-going field and greenhouse-based gene mapping projects
  • maintaining detailed records of experiments performed.
  • analyzing and preparing data for publication in peer-reviewed journals;
  • preparing manuscript drafts in collaboration with project PI and other members of the project team;
  • collaborating with the lab PI on the preparation of manuscripts for publication in the peer-reviewed journals; work with the lab PI on the preparation of progress reports to granting agencies.
  • training graduate and undergraduate students in the analytical techniques relevant to research work performed;
  • working with PI and students to create a positive learning environment in the lab;
  • working with the graduate students and PI on preparing paper presentations for a journal club and scientific meetings; help graduate students with the preparation of research work for publication.
  • preparing data in the formats suitable for deposition to public databases;  collaborate with a bioinformatical scientist to deposit the results of analyses to the laboratory and public databases.
  • coordinating with other members of the team phenotyping experiments in the field and greenhouse.

The successful candidate will have Ph.D. level training in plant genetics/genomics, crop breeding, plant biology, or related fields with the demonstrated potential to integrate experimental and analytical approaches to map and functionally characterize causal genes/pathways controlling phenotypic traits. While a strong background in statistical and bioinformatical approaches applied to analyze complex datasets including next-generation sequence data is desirable, a candidate is expected to develop projects in collaboration with a bioinformatics scientist in the Akhunov Lab. Excellent organizational, written/verbal communication skills, and the ability to work in a multicultural environment are required. Knowledge of computer programs for the analysis of genetic and genomic data, and the ability to perform statistical analyses in Python, Perl, SAS, or R would be a plus.

The candidate will have access to high-performance computing resources of the KSU Beocat cluster (http://www.beocat.cis.ksu.edu/beocat), modern genomic instrumentation through the KSU Integrated Genomics Facility (http://www.ksre.ksu.edu/igenomics) and have a chance to interact with vibrant KSU research programs in plant and fungal genetics and genomics. For details about the position please contact Eduard Akhunov (eakhunov@ksu.edu).

We Support Diversity and Inclusion:

Kansas State University embraces diversity and inclusion.  The university actively seeks individuals who foster a collegial environment and cooperative interactions with coworkers, students, and others.  The University is dedicated to promoting the Principles of Community.

What You’ll Need to Succeed:

Minimum Requirements:

  • Requires a Ph.D. degree in the fields of plant genomics/genetics, plant biology or crop breeding, or related field

 Preferred Qualifications:

  • Three or more years of experience in the fields of plant genomics/genetics, plant biology or crop breeding with hands-on training in analyzing genomic and phenotypic datasets.
  • Experience with integrating various types of genetic and genomic data to identify genes/pathways controlling phenotypic trait variation in plants.
  • Strong background in statistical and bioinformatical approaches applied to analyze complex datasets including next-generation sequence data.
  • Excellent organizational, written/verbal communication skills and ability to work in a multicultural environment is required.
  • Knowledge of computer programs for the analysis of genetic and genomic data.
  • Knowledge of at least one programming language (Perl, Python, or Java).
  • Ability to perform statistical analyses in SAS, or R.

How to Apply:

Please submit the following documents:

  1. Curriculum Vitae with the list of publications
  2. Statement of research interest
  3. List of at least three references

Screening of Applications Begins:

Immediately. For best consideration, apply by June 15, 2020.

Anticipated Hiring Salary Range:


Equal Employment Opportunity:

Kansas State University is an Equal Opportunity Employer of individuals with disabilities and protected veterans and actively seeks diversity among its employees.

Background Screening Statement:

In connection with your application for employment, Kansas State University will procure a Background Screen on you as part of the process of considering your candidacy as an employee.

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