Fellow (Post Doc)

Feb 24, 2017
Institution Type
Four-Year Institution


General Description of Position:

The Department of Plant Pathology is seeking applicants for a Functional Genomics Fellow (Post Doc) to join Dr. David Cook's lab. The successful applicant will lead projects investigating chromatin dynamics and gene regulation in fungal plant pathogens. The researcher will work with Dr. Cook to construct and analyze large genomic data sets from infected plants to discover mechanisms of chromatin dynamics, transcriptional regulation, and genome evolution related to fungal adaptation and environmental sensing. 

Job Description:

The Department of Plant Pathology is seeking applicants for a Functional Genomics Fellow (Post Doc) to join Dr. David Cook's lab investigating chromatin dynamics and gene regulation during fungal-plant interactions. The researcher will be primarily responsible for constructing diverse sequencing libraries from a range of fungal and plant samples, and assist in their analysis and interpretation to identify novel mechanisms of fungal genome response to external environments. The researcher is expected to utilize current techniques or develop novel methods to generate and analyze multi-sample time course experiments during plant infection, and requires integrating multiple data types to develop a comprehensive analysis. The fellow will design additional experiments with Dr. Cook to test hypotheses from the research. Domestic travel is required to facilitate collaboration and present findings. The successful candidate must be able to work in an open environment as part of a diverse team that fosters collegiality and teamwork.  

Required Minimum Qualifications:

PhD in microbiology, genetics, plant pathology, plant sciences or a related field

Molecular biology experience related to nucleic acid isolation and generating high-throughput sequencing libraries, such as those for RNA-sequencing, chromosome conformation capture sequencing, assay for transposase-accessible chromatin sequencing, or chromatin immunoprecipitation sequencing. 

Experience working with filamentous microorganisms

Strong written and oral communication skills

Preferred Qualifications:

Proven experience analyzing large genomic data sets

Experience working with filamentous microorganisms

Experience in linux, r, python, or perl

Prior experience with network analysis

Strong desire to learn and take on new challenges

Strong organizational and time management skills

Instructions for Applying

 To apply, please submit an application along with a cover letter and resume containing contact information for two professional references into the PageUp recruitment system.

Screening of Applications Begin:

 March 27, 2017

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. Follow the link to find out more. "EEO is the Law" Poster

Kansas State University actively seeks candidates whose commitments and contributions will advance the University's commitment to The Principles of Community which can be found at https://www.k-state.edu/about/community.html

Background Screening Statement:

In connection with your application for employment, Kansas State University may procure a Background Screen on you as part of the process of considering your candidacy as an employee.  Kansas State University complies with the requirements of the Fair Credit Reporting Act.


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