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AISB opportunities Bulletin Item

Postdoctoral research job opportunities in AI - 5-year contracts

Postdoctoral research job opportunities in AI - 5-year contracts ? deadline
31 August 07

Centre for Artificial Intelligence, Universidade Nova de Lisboa, Portugal

Applications are invited for RESEARCHER positions, from those with at least
3 years post-doctoral experience. Exceptionally only, in duly justified
cases, candidates with less than 3 years experience may be considered. The
positions, of which there are several in each thematic area, offer about
42.500 ? net annually, plus social benefits and retirement fund.

The thematic areas of the positions are - see detailed profiles below:

COGNOMA ? Knowledge Based, Cognitive and Learning Systems, and Semantic
BIOINFO ? Bio-Informatics
GEOINFO ? Oceanographic Remote Sensing Interpretation

In addition to their integration in the research Centre for Artificial
Intelligence (CENTRIA ? http://centria.di.fct.unl.pt/), the candidates are
expected to help with post-graduate teaching, including the supervision of
post-graduate students, and to write research papers as well as project and
grant applications.

Candidates will profit from the technical facilities and expertise available
at CENTRIA, at the Faculdade de Cincias e Tecnologia ( www.fct.unl.pt ),
Universidade Nova de Lisboa, where they will be stationed.

Please send detailed curriculum vitae and two reference letters to: 

		Prof. Lus Moniz Pereira
		Centro de Inteligncia Artificial
		Universidade Nova de Lisboa
		Quinta da Torre
		2825-516 Caparica

Job Reference profile: COGNOMA FCT/442/2006

Applications are invited from those with a PhD in Computer Science to work
in the thematic areas of:
Knowledge Based, Cognitive and Learning Systems, and Semantic Web.

Candidates must be knowledgeable in one or more of these specific areas:
Semantic Web; Knowledge and Reasoning Representation; Autonomous Agents and
Multi-Agent Systems; Machine Learning; Logic Programming; Computation and
Cognitive Sciences; Epistemological Foundations.

Job Reference profile: BIOINFO FCT/418/2006

Applications are invited from those with a PhD in Computer Science to work
in a multidisciplinary project involving Informatics, Structural Bio
Chemistry, Molecular and Cell Biology, Materials Science and Physics.

Candidates must be knowledgeable in one ore more of these specific areas:
Machine Learning and Data Mining; Constraint Programming and Optimisation,
Simulation (including Artificial Life), or other Artificial Intelligence

They should be familiar with application of these techniques to
bioinformatics applications, namely for sequence matching and comparison,
determination of protein structure and interaction, analysis of metabolic
pathways, assessment of phylogenetic trees, and be able to interact with
scientists from within and outside of the Institution, not only from the
above mentioned research areas, but also from the areas of Structural
Biochemistry and Molecular and Cell Biology. 

Job Reference profile: GEOINFO FCT/555/2006

Applications are invited from those with a PhD in Physics or Computer
Science, to work in the thematic areas of: Development of techniques
applicable to data collected with remote sensing methods, in order to
retrieve and computationally analyze oceanic mesoscale phenomena.

Candidates must be knowledgeable in Physics and Computer Science in general,
particularly in fields like Physical Oceanography, Air-Sea Interaction,
Remote Sensing, Machine Learning, and Intelligent Information Systems. A
good candidate is required to have competence in programming languages
(namely Matlab and C), experience in the analysis of satellite data applied
to Oceanography, and knowledge of pattern recognition techniques. Applicants
with a strong Computer Science background will have priority. Accepted
candidates will conduct satellite data processing and analysis applied to
the ocean, and will develop fuzzy pattern recognition methods and neural
networks using contextual models in order to identify and characterize
oceanographic patterns, among other technique that may prove useful.

Candidates are expected to analyze and validate the oceanographic patterns
(namely, associated with fronts and eddies) identified by means of automatic
pattern recognition tools, using as reasoning criteria the results of
realistic numerical simulations and the physical constraints of the
oceanographic phenomena under study.

The candidate will profit from the technical facilities and expertise
already available, such as, a real-time satellite receiving station, a large
collection of in situ and remote sensing oceanographic measurements in the
Oceanography Institute (IO) at the University of Lisbon, and a solid record
in the development and use of Artificial Intelligence methods from the
Centre of Artificial Intelligence (CENTRIA), at the New University of
Lisbon. The working place will be at CENTRIA, with visits to the
Oceanography Institute.