PhD student in Quantitative Genetic Models of Complex Traits
The Danish Centre for Genomic Selection in Animals and Plants (GenSAP) is seeking a motivated and productive PhD student to study quantitative genetic models of complex traits.


The goal of GenSAP is to develop the next generation genomic breeding tools
for genetic improvement schemes in agricultural plants and animals. GenSAP
brings together Danish breeding companies and research groups as well as
leading international research groups to make a joint strategic research
effort to build the foundation for next generation genomic selection (GS).
GenSAP will develop GS methodologies across all agricultural species and
integrate and extract relevant information from the massive amounts of data
emerging from whole genome sequencing, functional genomics, epigenomics and
complex phenotyping technologies. Improved GS models will be developed
based on efficient algorithms accounting for e.g. gene-by-gene and gene-by-
environment interactions. Advanced computational tools for optimizing and
evaluating selection decisions based on in silico data will be developed to
ensure a sustainable long-term implementation of GS.

The successful candidate will be affiliated to two GenSAP partner
institutions: 
North Carolina State University
Aarhus University. 

The candidate will be enrolled in the PhD program in Genetics at North Carolina
State University, under the mentorship of Prof. Trudy Mackay and is
expected to spend 1-2 years of the PhD study at the Center for Quantitative
Genetics and Genomics, Aarhus University, under the supervision of Prof.
Daniel Sorensen and Senior Scientist Peter Sørensen.

The candidate will develop novel computational approaches to exploit and
integrate multiple layers of genome-wide experimental data, in order to
provide novel insights into the genetic architecture of complex traits and
improve predictive models of complex traits. 

The candidate will apply these methods to phenotypic and molecular data sets from the Drosophila melanogaster Genetic Reference Panel, a population of 200 fully sequenced
inbred lines. This position requires solid quantitative skills, preferably including experience with population genetics or statistics. Skills in scripting and/or programming would be useful.

The studentship offers a generous stipend, with full tuition and health
insurance. Interested candidates should send CV including letter of
motivation to Peter Sørensen (peter.sorensen2@agrsci.dk) before the 15th of
March.

For more information on the PhD project, please contact Senior Scientist
Peter Sørensen (peter.sorensen2@agrsci.dk)

For more information on GenSAP please visit www.gensap.au.dk