[Arabidopsis] Postdoctoral Position

[Angelica Cibrian]

Post Doctoral Position in Plant Evolutionary Genomics at the New York  
University Center for Genomics and Systems Biology

A Post-doctoral position is available as part of the NSF Plant Genome  
Grant DBI -0922738 entitled:  “Comparative Genomics of Seed  
Evolution”.  The successful applicant will have skills and experience  
in Genomics, Bioinformatics and Evolutionary Biology.  The position  
will include experimental/informatic analysis on NextGen datasets  
(e.g. overseeing laboratory work, planning, leading and conducting  
analyses on RNASeq data).  Skills in R, Perl, Python or other  
programming language are strongly preferred. This position also  
includes Project Manager duties, which involve coordinating scientific  
activities at four participating institutions; organizing group  
meetings, writing grant reports, and communicating our work in  
conferences and meetings.

This project involves the collaboration of systematists, molecular  
biologists, genome scientists and bioinformaticians from four research/ 
educational institutions. PI: Gloria Coruzzi (NYU Center for Genomics  
and Systems Biology); Co-PI(s): Robert DeSalle (AMNH); Dennis W  
Stevenson (NYBG); W. Richard McCombie (CSHL); Senior Personnel(s): Rob  
Martienssen (CSHL); Dennis Shasha (NYU).

Project description: This project involves the construction and  
analysis of a phylogenomic view of the seed plants.  In the previous  
cycle of funding, we generated BigPlant v1.0 a phylogenomic tree  
constructed from a matrix of 22,121 orthologs from 150 seed plant  
species (http://nypg.bio.nyu.edu/bp/).  The main goal of our current  
funding cycle is to generate deep-transcriptomes to fill key gaps in  
taxa and genomic coverage in the seed plant phylogenetic tree, and to  
develop bioinformatic and phylogenomic resources that will enable a  
better understanding of the evolutionary history of plants. Overview  
of Aims 1-4: Aim 1: Select 35 species for transcriptome analysis of  
leaf, ovule and seed RNA (RNASeq) to fill in gaps in depth/breath of  
taxa/ortholog coverage in BigPlant phylogenomic tree and to provide  
expression data. Aim 2: Generate deep-transcriptome data used for  
unigene assembly, ortholog identification and expression data. Aim 3:  
Automate recurrent growth of our current phylogenomic matrix and  
integrate trait and expression data as characters. Develop  
phylogenomic and machine learning methods to make functional  
predictions for genes associated with clades and/or traits of economic  
interest. Aim 4: Perform functional validation of trait-to-gene  
predictions for seed traits in model (Arabidopsis) and crop (maize)  
species.  Project website: http://nypg.bio.nyu.edu/main/.

Please send resume and 3 letters of reference to:

  Dr. Gloria Coruzzi (gc2 from nyu.edu)
New York University Biology

Center for Genomics and Systems Biology

12 Waverly Place, 8th Floor

New York, NY 10003