Modelling and simulation of complex geographical systems open new
perspectives both in fundamental research and in public or private land
use planning. The use of computer science methods linked to complex
system study such as cellular automata and multiagent systems, requires
high computing skills, which slows down their diffusion among the
geography community and therefore among land use planners. Simulation
platform MAGeo aims at facilitating the diffusion of these methods.
MAGeo is a modelling and simulation environment to develop spatial
models through the connection of Geographical Information Systems,
cellular automata and multiagent systems, without need for programming
You will participate to the further design and programming of this
platform, following the existing work of the MTG team.
Location: Mont-Saint-Aignan, France (76130).
Duration: one year, renewable (ANR funding), starting march 2009.
*Computer science: Modelling, Simulation, Graph theory, Computational
automata, multiagent systems.
*Development : OOP, UML, XML, Pascal/Delphi
*Other: French fluency.
Master or equivalent, or PhD in computer science
Postdoctoral position or renewable one year contract or Master internship
MTG is a French research team in geography that specializes in modeling
and in spatial analysis. This scientific orientation led us to use
innovating methodologies, quantitative geographical information
processing, and formal approaches, mathematical or computational. Our
main fields of endeavor are currently distributed intelligence
techniques of simulation (cellular automata, multiagent systems) and the
measure of complex spatial organizations (self-organization, emergence,
urban discontinuities, diffusion, variography etc.). These angles are
applied to social sciences, politics and culture.
/Please find enclosed the job description in english and in french./
CRENAM-ISIG CNRS/UMR 5600
Université Jean Monnet - Saint-Etienne
6 rue Basse-des-Rives
42023 Saint-Etienne Cedex 02 France
Tél. : 33 (0)4 77 42 19 25
Fax : 33 (0)4 77 42 19 24
This is a companion discussion topic for the original entry at https://www.comses.net/jobs/10/