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Post-doc position- AMUSED project

Research Assistant or Research Associate in Land Surface Modeling and Soil Moisture Scaling
 
Summary:  A postdoctoral position is available to evaluate the performance of the Joint UK Land Environment Simulator (JULES) in reproducing soil moisture dynamics and key land-atmosphere interactions in the UK at hyper-spatial resolution in combination with novel cosmic-ray soil moisture technology and remote sensing products. A PhD in meteorology/hydrology or related disciplines (e.g. environmental science) with an interest in land-atmosphere interactions, numerical modeling, remote sensing, and data assimilation is essential.
 
This 30-month appointment (with potential extension to 36 months) is part of the NERC-funded project AMUSED (A MUlti-scale Soil moisture-Evapotranspiration Dynamics study) whose ultimate goal is to identify the spatiotemporal scale-dependency of key dominant processes that control changes in soil moisture and land-atmosphere interactions. AMUSED will employ new innovative technology for soil moisture monitoring using cosmic-rays sensors in combination with land surface modeling, satellite remote sensing, and data assimilation methods. Some fieldwork will take place, especially at the initial stages of the project to deploy and install/calibrate cosmic-ray soil moisture sensors. For more information about AMUSED, please visit http://www.bris.ac.uk/cabot/news/2014/502.html.
 
Required skills include experience using land surface models (e.g., JULES, CLM, Noah, VIC) to predict soil-vegetation-atmosphere interactions, some programming knowledge (e.g., Fortran or C) and experience with Linux operating system, demonstrated ability to publish peer-reviewed papers, effective written and oral communication skills, willingness to work in a team, in an academic research environment, and development collaborative links.
 
Desired skills include knowledge of hydrometeorology, land-atmosphere interactions, data assimilation and/or remote sensing, and some previous experience with fieldwork activities.
 
For informal inquiries, please contact Dr Rafael Rosolem (rafael.rosolem@bristol.ac.uk)
 
To apply, please visit http://bit.ly/1sLm96i
or
http://www.jobs.ac.uk/job/AJP006/research-assistant-or-research-associate-in-land-surface-modelling-and-soil-moisture-scaling/


Postdoctoral Fellowship in ecological modelling

  • Contribute to a high profile multi-disciplinary project of international significance
  • Be embedded in a multidisciplinary team working on developing and deploying exciting novel sterile insect technologies
  • Undertake research with a network of collaborators and on behalf of clients both in Australia and overseas

CSIRO Agriculture currently have an exciting opportunity for a highly motivated Postdoctoral Fellow to join the "Pest Suppressive Landscapes" team based in Brisbane, Queensland. The team seeks to address the broad question: why does landscape context matter for the control of pests and diseases? By combining empirical ecological studies with mathematical modelling, the team aims to gain knowledge that will help address the global challenges of food security and health crises at the landscape scale. In this role you will be specifically focused on the spatial simulation modelling of fruit fly in agricultural landscapes, in order to estimate release rates of factory-produced sterile insects for effective area-wide pest management.

Your duties will include:

  • Under the direction of senior research scientists, carry out innovative, impactful research of strategic importance to CSIRO that will, where possible, lead to novel and important scientific outcomes;
  • Develop a spatially-explicit simulation model for ‘fruit fly’, with initial application and validation using the case study of Medfly (Ceratitis capitata) in Israel, and later reparameterization of the model for Qlfy (Bactrocera tryoni) in Australia;
  • In collaboration with others in the project team, integrate spatial resource maps with other environmental/socio-economic data and learning from stakeholders, the lab and the field, in order to parameterize, initialize, calibrate and validate the model;
  • Apply the model to case studies;
  • Produce high quality scientific papers suitable for publication in quality journals, for client reports and granting of patents;
  • Contribute to the development of innovative concepts and ideas for further research.