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Postdoctoral research job opportunities in AI...
CENTRIA news
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 Web";
BIOINFO – "Bio-Informatics";
GEOINFO – "Oceanographic Remote Sensing Interpretation".
In addition to their integration in the research Centre for Artificial Intelligence (
CENTRIA
), 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 Ciências e Tecnologia
, Universidade Nova de Lisboa, where they will be stationed.
Please send detailed curriculum vitae and two reference letters to:
Prof. Luís Moniz Pereira
:
lmp@di.fct.unl.pt
.
Director
Centro de Inteligência Artificial
Universidade Nova de Lisboa
Quinta da Torre
2825-516 Caparica
Portugal
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 areas.
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.
Saturday, 7th of July 2007
Departamento de Informática, FCT/UNL
Quinta da Torre 2829-516 CAPARICA - Portugal
Tel. (+351) 21 294 8536 FAX (+351) 21 294 8541
