PHD/ COMPUTATIONAL SYSTEMS GENETICS

Background

As part of an international collaborative project with MIT (Massachusetts Institute of Technology, USA), we make use of Next Generation Sequencing data (RNA-seq) in the mouse in response to macrophage infection. This project provides an unprecedented platform for the next generation geneticists to explore the complex causes underlying phenotypic variation in a host-pathogen context. Variation in molecular and phenotypic traits can be correlated to DNA sequence variation using the methods of quantitative trait locus (QTL) mapping. In addition, the correlation structure in the molecular and phenotypic traits can be informative for inferring the underlying molecular networks and causative genes (causal inference). The data size (‘big data') calls for creative and efficient analysis and tools. We are specifically seeking someone interested to develop the statistical and computational methods and software for high-throughput ‘big data' in the context of this project.

Requirements

- You are a university graduate at MSc level in one of the following disciplines: computer science, bioinformatics, statistics, mathematics,
  theoretical biology, population/evolutio nary genetics, physics.
- A proven ability to perform creative interdisciplinary research is required for this position.
- Applicants should have a proven track record in (open source) software development using modern programming principles and languages
  (e.g. C, Java, Scala, Ruby). We also expect a pro-active attitude and the ability to initiate and execute research lines independently. Excellent
  communication and reporting skills are necessary.
- You should be able to write scientific articles and reports (to be proven by your graduation thesis or another comparable report) and be
  fluent in English language (written and verbal). Only applications with a clear, concrete and personal ‘statement of interest' for this project
  will be considered.

Deadline: As soon as possible

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