We are recruiting a postdoctoral researcher to join John Kelly, Stuart
Macdonald and Rob Unckless on an NSF funded project to study the genomic
basis of male fitness variation in wild populations of Drosophila. Our
research groups at the University of Kansas use a range of genetic,
genomic, and statistical techniques to address basic questions in
evolutionary genetics. The postdoctoral researcher will help to lead a
collaborative project exploring the genomic basis of fitness variation in
Drosophila melanogaster. The project will combine field and laboratory
experiments to identify the processes generating fitness variation
among individuals and quantitatively estimate how that variation results
in allele frequency change. This project employs massive-scale genome
sequencing, data that will enable a wide range of novel, independent
projects. The project also involves a substantial theoretical component
including algorithm development. The breadth of the project, and depth
of the data we are collecting, allows for a range of questions to be
addressed, providing the opportunity for the successful candidate to
position themselves as an independent investigator.

The environment for evolutionary and quantitative genetics/genomics
at the University of Kansas is exceptional, with a number of
relevant research groups in EEB (https://eeb.ku.edu/faculty), MB
(https://molecularbiosciences.ku.edu/faculty), and Center for Genomics
(https://genomics.ku.edu/). Collectively our groups provide a strong,
collaborative training environment. The tentative start date for the
position is August 1, 2025, but that is negotiable. Salary: $60,000,
commensurate with qualifications and experience.

Required Qualifications:
1. A PhD in evolution, genetics, genomics, or a related field.
2. A first-author publication or preprint based on your doctoral work
   that shows your ability to initiate and execute a research project.
3. Experience with molecular/population/quantitative genetics, as
   evidenced by application materials and/or publications.
4. Experience with bioinformatics (such as coding or scripting in R or
   Python) as evidenced by application materials.

Preferred Qualifications:
1. Experience working with genomic datasets resulting from next-
   generation sequencing applications (e.g., whole genome
   sequencing, RNAseq).
2. Experience working with undergraduates or other researchers in a team
   setting. A complete online application consists of: (a) CV/Resume,
   (b) Cover Letter outlining how the required and preferred
   qualifications are met, relevant experience, and interest in the
   position, and (3) Contact information for three references that
   includes phone/email.

Inquiries about the position can be directed to John Kelly
(jkk@ku.edu), Stuart Macdonald (sjmac@ku.edu) or Rob Unckless
(unckless@ku.edu). Applications should be submitted directly through
the KU employment portal: employment.ku.edu/staff/29761BR

"Kelly, John K" <jkk@ku.edu>

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