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Research Opportunity
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Research Opportunity

Computer Science


Work description

Recent technological advances have made it possible to collect volumes of data on the evolution of spatio-temporal phenomena that are much greater than the existing capacity to analyze them and extract relevant information in various scientific areas. Therefore, tools capable of automating processes of quantitative analysis of spatio-temporal data are increasingly needed, guaranteeing levels of objectivity, precision and reproducibility compatible with the performance of scientific work. The activities presented below are part of the Automatic detection and representation of change task of the EES Data Lab project and continue the work carried out so far in the detection of spatio-temporal events. To evolve the results obtained in a master's thesis in the representation and automatic detection of events related to a space-time entity, already carried out in this context and scope of the project. It is intended: 1) complement the results achieved in the thesis and broaden the knowledge of the state of the art in the area in algorithms for the detection of change of the point set registration class using machine learning, as a central part in the calculation of differences between pairs of geometric shapes that represent two states of a spatio-temporal entity; 2) select the most promising algorithm based on the choice; 3) experiment, compare and draw conclusions from the results obtained. Expected results: a) state of the art report carried out in 1) b) report of the experience carried out in 2) and 3) c) complete and publish a scientific article exposing the work performed and the results obtained; d) activity report

Academic Qualifications

Master's or integrated master's student in the areas of computer science or computer engineering

Minimum profile required

- current average course evaluation equal or superior to 14 values;- not having overdue curricular units- experience in application development (python, java, javascript);- experience in algorithms and data structures;- excellent performance in programming, software development

Preference factors

experience or courses in artificial intelligence and/or machine learning.

Application Period

Since 01 Aug 2022 to 31 Aug 2022


Cluster / Centre

Computer Science / Human-Centered Computing and Information Science

Scientific Advisor

Alexandre Carvalho