[R-jobs] employment opportunity for Fisheries Post Doc and R programmer

Laura Shulman HR @end|ng |rom |ntegr@ted@t@t|@t|c@@com
Mon Aug 13 03:20:55 CEST 2012

*August 12, 2012*


*Postdoctoral Researcher working on spatial models of marine wildlife, 
using R. *

Integrated Statistics is looking for a post doctoral scientist to work 
with the Passive Acoustics Research Group and Large Whale Research 
Group, part of the Protected Species Branch at the Northeast Fisheries 
Science Center in Woods Hole, Massachusetts 
(http://nefsc.noaa.gov/psb/acoustics/).We are looking for someone to 
bring new ideas, approaches and analytical methods to derive abundance, 
density and distributions of marine mammals from passive acoustics, 
tagging and visual sightings data. We are interested in candidates with 
experience working in the R software environment.

This position is for one year full time with the possibility of renewal 
based on availability of funding and job performance. Limited funds for 
travel to conferences, workshops, and/or field work is also available. 
The successful candidate will work on three main areas:

1.Develop new methods to analyze and visualize long term records of 
passive acoustic (i.e. whale calls) data together with the NEFSC Passive 
Acoustics Program

2.Use passive acoustic data (whale and fish calls) to derive estimates 
of calling and densities of animals together with the NEFSC Passive 
Acoustics Program and collaborate with scientists at CREEM (the Centre 
for Research into Ecological and Environmental Modeling at the 
University of St Andrews).

3.Explore different analytical options for estimating density of marine 
mammals from visual sightings, acoustic records and tagged animals, 
working with the NEFSC Passive Acoustics and Large Whale Programs, and 
scientists at the Woods Hole Oceanographic Institution .

We are specifically looking for a candidate who will come with a strong 
statistical background and an interest in trying new analytical methods 
in areas where conventional approaches are currently used, as well as 
developing new methods for integrating acoustic, visual and tagging 
data. We're looking for someone interested in moving beyond the 
standard, generalized additive model based, approach to handling these data.

Examples of some of the existing approaches to these questions can be 
found here: http://cetsound.noaa.gov/cetacean.html 

/Preferred Qualifications:/

�PhD in spatial ecology, or spatial statistics; ora PhDin oceanography, 
population ecology, or marine biology, or similar field, with strong 
spatial analytical skills.

�Three or more years experience in analysis of large volume, long-term 
datasets, evidenced by publication in peer-reviewed journals.

/Additional requirements:/

�The position requires access to US Federal office buildings or ships 
and communication networks. Applicants do not need to have US 
citizenship but they do need to obtainwork documents that do not expire 
during the contract period, before the start of employment.

�Able to pass government background security check, required for working 
within a US government facility.

Salary will range between $45 -- 60k/year depending on experience.

Excellent employee benefits are provided including paid medical 
insurance, and holiday, vacation and sick leave.

/How to apply:/

A complete application package includes recent CV detailing 
qualifications and relevant experience, including a short statement 
identifying some of the new approaches you have use to addressresearch 
questions, and names and contact information for at least two 
professional references.

Review of candidates will begin on September 1st, 2011 and preference 
will be given to applicants that submit a full application prior to that 

To apply for this position, please email your resume to 
HR using IntegratedStatistics.com 
<mailto:HR using IntegratedStatistics.com?subject=PSB%20Post%20Doc>.

Laura Shulman, Ph. D.
Integrated Statistics Incorporated, President
16 Sumner Street, Woods Hole, MA 02543
Phone: (508) 540-8560
Fax: (508) 721-6841

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