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Job: Modelling Tropical Forest Growth and Yield

Paul van Gardingen p.vangardingen at ed.ac.uk
Fri Mar 28 14:56:12 EST 1997

Institute of Ecology and Resource Management,
The University of Edinburgh

Research Fellowship:  	Biological Modeller / Computer Programmer:
   Growth and Yield Modelling for Sustainable Forest Management.

A position of Research Fellow (RF) is available for a biological
modeller or computer programmer in the Institute of Ecology and
Resource Management (IERM) at the University of Edinburgh, Scotland.
The position is available from 1 April 1997 for a period of three
years.  The RF will work as part of an international research team in
a project developing a modelling framework to predict the growth and
yield of managed tropical moist forest systems to determine ecological
and economic sustainability.  This work is funded by the United
Kingdom Overseas Development Administration under their Forestry
Research Programme. The successful applicant will be responsible for
the development of a modelling framework to predict the growth and
yield of managed tropical forest ecosystems.  This work will involve
programming for the Windows environment in C++ and Fortran and working
with databases in Foxpro and MS Access.  The RF will work as part of a
team involving researchers in the United Kingdom, Indonesia and
Malaysia and will be responsible for integrating the components
developed by other team members into the modelling framework. Much of
this collaboration will be conducted via electronic media, but the RF
will be required to spend up to two months each year working abroad
with members of the team resident in Indonesia and Malaysia.  The
successful applicant would therefore be expected to work well as a
member of a team, and must have good communication skills. The person
appointed will need to have experience in the production of software
in the Windows environment, using C++, and Fortran.  Experience in one
or more of database programming and management, expert systems
(Prolog) and statistics would be a distinct advantage.  Suitable
candidates would normally be expected to have a PhD in a relevant
topic (Information Technology, Ecology, Computer Science, Artificial
Intelligence), but candidates with a relevant higher degree (Masters)
and suitable post-graduate experience will be considered.

Salary Range:  AR1A, =A314 732 - =A322 143

Informal requests for information can be addressed to Dr P.R. van
Gardingen (Fax +44 131 667 2601) or via Email to L.Sharp at ed.ac.uk.

Further particulars including details of the application procedure
should be obtained from the Personnel Department, 1 Roxburgh Street,
Edinburgh EH8 9TB Scotland. or Tel: 0131 650 2511 (24 hour answering
service).  Please quote reference 796224.  Closing date for receipt of
application is 1 May 1997.

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