Two PhD studenship in computer science

[Frederic Alexandre]

The CORTEX team at LORIA/INRIA Lorraine in Nancy, FRANCE is looking for
2 PhD students.
http://www.loria.fr/LORIA/LORIA-test/EQUIPES/index.en.php?equipe=Cortex

Applications (CV and accompanying letter) are invited for two fully
funded Phd studenship, one in the area of neuroscience and modelling,
the other in the area of knowledge extraction using neural network.


PROJECT 1:
 In the framework of the MirrorBot European project, between
 neurosciences and computer science, we aim at designing a biological 
 neural model for the control of an autonomous robot.

PROJECT 2:
 In the framework of an industrial project using extensive geographical 
 data, we aim at designing a neural network for automatic knowledge 
 extraction


Details below


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PROJECT 1
 In tight connection with CORTEX research themes and taking benefit
 from our experience in the biologically neural modelling area, we aim
 at designing a neural networks for the control of an autonomous robot
 (PeopleBot) in a real but simplified unknown environment. Throughout
 the many interactions between the robot and the world (objects,
 positions, colors), we want to study the emergence of semantic during
 learning. This requires the conception of motor and perceptive systems
 as well as a sensori-motor coordination system. Moreover, we would
 like to emphasize the need for different memory systems like
 declarative memory, procedural memory and working memory.
 This work will take place in interaction with members of the team and
 neurobiologists participating to this project.


COMPETENCE: 
 The successful candidate should have an MSc grade (or about to get
 one) or equivalent in computer science or other related area with
 knowledge and interest in neural networks and modelling. Fluent
 English (or French) is required. Programming skills (eg C/C++) are
 desired.

CONTACT:
 Dr. Nicolas Rougier    Nicolas.Rougier at loria.fr
 LORIA laboratory
 Nancy, France

APPLICATION:
 Closing date for applications: July 15, 2002.
 

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PROJECT 2
 Today, the problem is no longer the need for information but the way
 to focus on the relevant one and to be able to extract the implicit
 knowledge contained within. From one hand, internal structures of
 neural networks are responsible for their good performances in
 classification and data foraging and in the other hand these internal
 structures have been hardly studied in terms of information
 representation and implicit knowledge. Consequently, this work aims
 at a better understanding of these internal structures and implicit
 knowledge but also at designing a working model for knowledge
 extraction.
 This work will take place in collaboration with the national
 geological research company (BRGM) in charge of natural ressources in
 France.


COMPETENCE:
 The successful candidate should have an MSc grade (or about to get
 one) or equivalent in computer science or other related area with
 knowledge and interest in neural networks. Fluent English (or French)
 is required. Programming skills (eg Java, C/C++) and knowledge in AI
 and statistics are desired.

CONTACT:
 Dr. Laurent Bougrain   Laurent.Bougrain at loria.fr
 LORIA laboratory
 Nancy, France

APPLICATION:
 Closing date for applications: July 15, 2002.