[ADMB Users] AD Model Builder Job
mmaunder at iattc.org
Wed Jun 16 16:57:54 PDT 2010
NOAA Fisheries is seeking a scientific programmer to work on ADMB
NOAA Fisheries is seeking a scientific programmer to work in a diverse,
creative work environment populated by people with backgrounds from a
variety of disciplines including statistics, quantitative ecology,
applied mathematics, ecosystem modeling, and fishery science. The
successful applicant will represent NOAA Fisheries in communications
with the Automatic Differentiation Model Builder (ADMB) Foundation;
teach courses in C++, ADMB and other programming languages; and
collaborate with researchers to develop new natural resource models and
translate them into efficient, well-documented code.Programming
experience with C++ is essential and experience with ADMB is highly
desirable. Experience in other high level languages (e.g., Visual Basic,
Fortran, R) and mathematical modeling is also desirable.
The position is located in Miami, Florida. The position will require
several trips per year to diverse locations within the United States,
and occasionally to international venues.
Application under this announcement requires the applicant to apply
through USAJOBS at http://www.usajobs.opm.gov/. Job Announcement Number:
Statistician ( Scientific Programmer),ZP-1530-III
Applicants will be able to apply online until 24:00 (midnight) Eastern
Time on June 21
Head of the Stock Assessment Program
Inter-American Tropical Tuna Commission
8604 La Jolla Shores Drive
La Jolla, CA, 92037-1508, USA
Tel: (858) 546-7027
Fax: (858) 546-7133
mmaunder at iattc.org
Visit the AD Model Builder project at
See the following website for information on fisheries stock assessment
From: users-bounces at admb-project.org
[mailto:users-bounces at admb-project.org] On Behalf Of Arni Magnusson
Sent: Wednesday, June 16, 2010 1:40 PM
To: r-help at r-project.org
Cc: users at admb-project.org
Subject: Re: [ADMB Users] an alternative to R for nonlinear stat models
It has been brought to my attention that the 1997 benchmark was updated
2006, using R instead of S-Plus. and a newer computer, obviously.
The result was that ADMB converged more than 1000 times faster than R.
The model is an ecological population model, not unlike Gove et al.
(2002). Anyone should be able to replicate the results, since the
http://admb-project.org/community/benchmarks/optimization page has links
to the ADMB code, R code, and the input data. The 2006 benchmark used
R optimizer nlminb(), so there are many other R optimizers that could be
Any improvements are of course welcomed, although the current discussion
may be focusing on the similar Gove et al. (2002) example.
I should also correct what I said about ADMB doing "optimization and
nothing else", since ADMB features like random effects and MCMC are
the standard features of optimizers.
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