10 iPlant Postdoc Openings

(Sent on behalf of iPlant- please contact the indicated names for more
information)

5 postdocs in each section:

(1) Postdoctoral Research Positions-Computational
Phylogenetics/Phyloinformatics
Multiple postdoctoral positions are available for research and
cyberinfrastructure development associated with reconstructing the green
plant tree of life. Positions are sponsored by the iPlant Collaborative
([Only registered users see links. ]), which is supporting cyberinfrastructure
across the plant sciences. Individuals would work with one of a number of
identified investigators focusing on specific issues in phylogenetic
cyberinfrastructure development. These include high performance computing
and scalable tree construction (Alexandros Stamatakis-Technical University,
Munich; email: [Only registered users see links. ]), data set assembly (Doug Soltis-U
Florida; email: [Only registered users see links. ], Pam Soltis-U Florida; email:
[Only registered users see links. ]; Michael Donoghue-Yale; email:
[Only registered users see links. ]), gene tree reconciliation (Todd Vision-UNC;
email: [Only registered users see links. ]), character evolution (Brian O'Meara-U Tennessee;
email: [Only registered users see links. ]), and tree visualization (Michael Sanderson,
UC-Davis; email: [Only registered users see links. ]). Fellows can anticipate working
in a highly collaborative, multi-institutional context, with some travel
between working groups encouraged. In addition to undertaking basic research
in phylogenetic methods, postdocs will be expected to provide advice on and
work in collaboration with cyberinfastructure developers in the iPlant team.
Qualifications include familiarity with the data, methods, and software of
phylogenetic analysis, and programming experience at least at the level of a
scripting language such as PERL. Individual PIs may have additional
requirements. Inquiries should be directed to any of the Grand Challenge
Team members listed above. Positions are available immediately. A full
description of the iPToL (iPlant Tree of Life) project can be found online
at [Only registered users see links. ]. The institutions involved in this
program may be Affirmative Action and/or Equal Opportunity Employers.

(2) Program Announcement-Connecting Genotypes to Phenotypes in Complex
Environments
Multiple postdoctoral positions will be available for research and
cyberinfrastructure development associated with elucidating the relationship
between plant genotypes and the resultant phenotypes (G2P) in changing
environments. The program is sponsored by the iPlant Collaborative
([Only registered users see links. ]), which develops and enables
cyberinfrastructure support for Grand Challenge research across the plant
sciences. Individuals will be work in a team setting with one of a number of
specific investigators having key roles in issues related to G2P
cyberinfrastructure development. These include pipelining and analysis of
Next Generation sequence data (Tom Brutnell-Boyce Thompson Institute,
Cornell University; email: [Only registered users see links. ]), data integration (Matthew
Vaughn email: [Only registered users see links. ], and Doreen Ware email: [Only registered users see links. ], - both
at Cold Spring Harbor Laboratory), statistical inference for genome-wide
association mapping (Dan Kliebenstein- University of California, Davis;
email: [Only registered users see links. ]), visualization/analysis (Ruth
Grene-Virginia Tech; email: [Only registered users see links. ]), modeling tools (Stephen
Welch-Kansas State University; email: [Only registered users see links. ]). The work setting
will be a highly collaborative, multi-institutional context, with some
travel between working groups encouraged. In addition to undertaking basic
G2P research, individuals will be expected to provide advice on and work in
collaboration with iPlant cyberinfastructure developers. Qualifications
include familiarity with one (or preferably more) of the following areas:
functional-, quantitative-, or computational genetics/genomics;
bioinformatics; programming experience (either scripting languages like PERL
or compiled languages like C/C++); modeling (systems biological,
ecophysiological, or statistical); database use; current topics in plant
biology (especially stress, photosynthesis, or phenology); or high
performance computing. Individual investigators may have additional
requirements. Inquiries should be directed to any of the individuals listed
above. A full description of the iPlant G2P program, including specific
position descriptions as they become available, can be found online at
[Only registered users see links. ]. The institutions involved in this
program may be Affirmative Action and/or Equal Opportunity Employers.