Layer, Chiang, et al. Genome Biology
A postdoctoral position in computational and statistical genomics is available in the Jones Lab at the Max Planck Institute in Tuebingen, Germany. This is one of four positions funded by a prestigious 2M€ European Research Council grant investigating the role of recombination in adaptive evolution in stickleback fish, an evolutionary model organism.
The goal of our research is to use cutting-edge techniques to characterize, quantify, map and manipulate meiotic recombination hotspots at unprecedented resolution across the genome, among individuals, and between species. We will study its genomic co-localization with kilobase resolution maps of adaptive loci and study the effects of recombination variation on individual fitness in the lab and in the field. This ground-breaking research will elucidate how a fundamental biological process shapes the genomic basis of adaptive divergence in natural vertebrate populations.
Your role: You will use computational and statistical genetic methods to build high-resolution maps of recombination hotspots across the genome and quantify variation in these maps among individuals, between sexes & divergent species. You will intersect these maps with adaptive loci including those you identify from population genomic analyses to investigate how recombination shapes adaptive evolution. You will work in a multidisciplinary team that uses population genomics, genetics, molecular, developmental, and evolutionary biology to study the molecular mechanisms underlying adaptation and speciation in the threespine stickleback fish.
Our Offer: The contract is for 2-3 years with the possibility of extension. Salary and benefits are according to the German public service pay scale (TVöD Bund).
The Max Planck Society seeks to increase the number of women in areas where they are underrepresented, and therefore explicitly encourages women to apply. Disabled applicants with equal qualifications will be given preferential treatment.
You will have a PhD or equivalent degree, in Biostatistics, Bioinformatics or Statistical Genetics, or several years of experience in these fields. You should demonstrate expertise and proficiency in handling large-scale computational data analyses, and advanced skills in statistical inference (e.g. genotype imputation, Hidden Markov Models, and haplotype phasing of whole genome data). Experience with unix and coding in C, C++, Python, or Perl is essential. We are interested in candidates who are keen to apply new and innovative statistical approaches. Passion for research, team spirit and enthusiasm are essential.
For more information please see: fml.tuebingen.mpg.de/jones-group/open-positions/
Consideration of applications will begin on April 15th 2014, and will remain open until filled. Please send your application with 1. a statement of research interests and why you have applied for this position, 2. your CV, and 3. three reference letters to Dr Felicity Jones at firstname.lastname@example.org or the postal address below. Incomplete applications will not be considered.
Dr Felicity Jones, Friedrich Miescher Laboratory of the Max Planck Society, Spemannstrasse 39, 72076 Tuebingen, Germany.
Our research group is funded by the European Research Council (ERC) and the Max Planck Society and is located on the Max Planck campus in Tuebingen, Germany. Our campus hosts world-class research groups, including 7 other ERC-funded teams, and operates state-of-the-art sequencing and other core facilities. English is the working language. All seminars and communications are in English.