Post doc at the Telecommunications and Remote Sensing Lab of the University of Pavia

Details

The Telecommunications and Remote Sensing Laboratory of the University of Pavia (TLCRS, http://tlclab.unipv.it) has currently open a position for a post-doc researcher in remote sensing and data fusion. This position is related to the activities in the PULSE and EOXPOSURE projects, as well as to general activities in the field of multi-sensor and multi-scale Earth Observation data fusion.

The post-doc researcher is expected to work on the development of new techniques for the extraction of environmental parameters (e.g., concentration of air pollutants, soil humidity) as well as for mapping peculiar environments (e.g., pervious and impervious materials in urban and peri-urban areas) using a combination of existing spaceborne, airborne and ground-based sensors. Examples of recent works in the same lines of research by TLCRS are included in the bibliography below.

The ideal candidate has a PhD in remote sensing, electronic/computer engineering, environmental or information science, and a background on remote sensing image processing and data fusion. The grant is meant to start as soon as possible, ideally on Aug. 1, 2018, and it will last for one year, with a possible extension to another year.

Interested candidates are welcome to send their CV to Prof. Paolo Gamba (paolo.gamba-at-unipv.it) by July 10, 2018.

 

References

  • C. Iannelli, P. Gamba “Improving the HBDT framework fusing HR and VHR SAR and optical data for image classification”, Proc. of IGARSS’17, Fort Worth (TX), July 24-28, 2017, pp. 5474-5477
  • A. Marinoni, P. Gamba, “On the effect of air pollution on clinical records of diabetes-related patients”, Proc. of the 2016 Conference on “Big Data from Space” (BIDS’16), Santa Cruz de Tenerife (Spain), March 15-17, 2016, pp. 286-289.
  • A. Salentinig, P. Gamba, "Multi-scale decision level data fusion by means of spatial regularization and image weighting," 2017 Joint Urban Remote Sensing Event (JURSE), Dubai, United Arab Emirates, 2017, pp. 1-4.