POST DOCTORAL RESEARCH FELLOW, REMOTE SENSING - WOODY LANDSCAPE ATTRIBUTION

RMIT University, Melbourne

POST DOCTORAL RESEARCH FELLOW, REMOTE SENSING - WOODY LANDSCAPE ATTRIBUTION

ACU Ref: 58908
Closing Date: 13 November 2011

Melbourne, Victoria, Australia

• Full Time, Fixed Term Position for 3 years
• Circa A$88,200 starting package, incl of Super
• Further Salary Increases 2011 and 2012

RMIT is a global university of technology and design, focused on creating solutions that transform the future for the benefit of people and their environments.

Situated within the College of Science, Engineering and Health, the School of Mathematical and Geospatial Sciences draws together disciplines involving the collection of data with the analysis of data and the understanding and optimisation of systems through modelling and visualisation, offering undergraduate science degrees in Geospatial Science, Mathematics, Statistics, and Surveying, and also coursework masters programs in Analytics, Operations Research, Information Security, and Geospatial Science. The School has more than 45 academic staff and over 50 postgraduate research students. The Centre for Remote Sensing, School of Mathematical and Geospatial Science, RMIT University, Melbourne, Australia, is seeking to appoint a Postdoctoral Fellow and two PhD students in Remote Sensing.

Australian woody vegetation systems have unique biophysical characteristics (including erectophile leaf angle distributions and relatively high soil and shadow to leaf reflectance ratios). We are seeking to appoint a postdoctoral researcher to join our team as we embark on a new CRC funded project determining the key data primitives for woody landscape attribution. The outputs of the research will be tools and procedures with which to auto-generate landscape level woody vegetation features (i.e. spatial layers) linking field data and remote sensing. The generated landscape features will be designed to be highly correlated with end user land manager landscape metrics. The project aims to develop new mathematical models, algorithms, software systems and computational processes and procedures for integrating and analysing remotely sensed imagery, ranging and ground data.

We are seeking candidates with experience in linking in situ observations of biological phenomenon to long-term spectral datasets, and the related scaling issues.

Candidates should possess an earned doctorate in remote sensing or spatial analysis (with expertise the area of image analysis / spatial – ecological modeling), be an experienced / expert user of ENVI-IDL / IMAGINE or similar, be highly motivated and enjoy working in an applied problem oriented research environment.

For further information, to review a position description and apply, please refer to our website quoting Reference: 546000. Further information can be obtained by contacting Simon.Jones@rmit.edu.au or Andrew.Haywood@dse.vic.gov.au. Please note that applications will not be accepted via email.

Please note that two stipended (funded) PhD opportunities are also available in this project. The themes for the PhD research are:

1. Scaling in situ observations: develop new algorithms and techniques for linking field based and remotely sensed information across network of native Australian forest field sites.

2. Data fusion: develop and test methods and models for multiple-sensor (passive and active) data fusion techniques suitable for Australian forest communities.

CLOSING DATE: 13 NOVEMBER 2011