Duration: 2 years

Starting date: Jan 2010

Areas: Image processing, Bayesian inference 

Topic: Automated Probabilistic Digital Surface Model (DSM) generation from satellite stereo images

Keywords: DSM, Bayesian inference, uncertainty, automated mapping

Project: AutoProbaDSM (Fundação para a Ciencia e a Tecnologia PTDC/EIA-CCO/102669/2008)

Host Institution & research unit: Universidade de Évora (UE), Centro de Geofísica de Évora (CGE)

Participating Research Units: Centro de Investigação em Ciências Geo-Espaciais de Porto (CICGP) and  Instituto de Engenharia de Sistemas e Computadores de Coimbra (INESCC)

Project lead: André Jalobeanu, PhD, research scientist at CGE

The candidate is required to have a PhD in Engineering Sciences (Computer Science and Applied Mathematics degrees will also be considered if he/she shows a great motivation for the subject). He/she should have a strong background in Bayesian Inference and Image Processing. The required skills include basic research, algorithmic development, C++ programming, and team work; the working language is English. A keen interest in areas such as computer vision, photogrammetry and remote sensing would be a big plus. A self-starter and "outside the box" thinker would be most welcome. The post-doctoral fellow will play an important role in a starting, exciting project. 

To apply:

Please email the following documents to André Jalobeanu (jalobeanu@uevora.pt): 

• a statement of research interests; 
• an up-to-date resume, including a publication list; 
• at least one reference letter.

Working at CGE