Job Opportunities


Scientific Area:
scientific visualization and geographical information systems

Post requirements:
The candidate should hold a "licenciatura", B.Sc or Master Degree and should have knowledge or a clear interest in scientific visualization tools, including forms of geographical information systems. In addition, the candidate should have basic programming knowledge; practice of visualization software tools and of graphical design.

Work plan:
Visualization of geography of knowledge and industry, including:
  • Visualization of knowledge nodes and networks, based on data about research activity, publications patterns, backward knowledge flows, and scientific and academic collaborations, as well as of their relative absence, in a way to facilitate the spatial dimension of science policies;

  • Visualization of patterns of research and academic activities in regions and cities, including analysis of the loci of academic institutions and related flows of student/researchers in a way to facilitate comparative studies of "Knowledge urbanism" and related urban and science policies;

  • Visualization of the geographies of industry and related industrial activities, making use of sectorial, regional, national and supra-national data, in a way to facilitate the analysis of risks of deindustrialization, as well assessing industry and innovation policies.

  • "Big data" collection and visualization procedures.
The research will be performed at LARSys, Associate Laboratory, and based at the Center for Innovation, Technology and Policy Research, IN+, a center affiliated with Instituto Superior Técnico (IST), Technical University of Lisbon, working in close collaboration with other research units associated with IRGC-Portugal ( and the international network established through IRGC ( ). The work is expected to be developed in close cooperation with researchers and other PhD students involved in the "Engineering and Public Policy" PhD Program, as established at IST and FEUP (the engineering school of the University of Porto) in close cooperation with Carnegie Mellon University, CMU ( ).

The research should contribute to the advancement of knowledge in the fields mentioned, with emphasis on the development of new visualization tools for analysis. It will include work on multiple software associated with research on dynamic networks analysis (e.g, Gephi, Pajek), geographical referencing (e.g, ArcGis), and other visualization tools, requiring interest and background on visualization design and practice of programming codes (e.g., Python).