Position – Postdoc and 2 PhD Positions, RMIT University, Melbourne, Australia We are looking for one postdoctoral fellow and have scholarships available for 2 PhD students to work on two ARC funded projects at RMIT University, Melbourne. Both projects will be based at RMIT (city campus) within the Interdisciplinary Conservation Science Group http://www.rmit.edu.au/about/our-education/academic-schools/global-urban-and-socialstudies/research/research-centres-and-groups/interdisciplinary-conservation-science/ with the potential for national and international travel.

Evaluating environment policy that has immediate costs but long-term gains PhD and postdoctoral fellow opportunity A fundamental challenge for environmental policies is the different timescales over which ecological and financial costs and benefits occur. For example, whilst revegetation to offset land clearing incurs immediate costs, it can take decades for it to become suitable habitat for wildlife. These long time lags can lead to inefficiencies in spending and poor environmental outcomes. This project will develop novel approaches for evaluating the future impacts of environmental policies and new methods for improving their design. The methods will be tested and demonstrated in the policy context of biodiversity offsetting, which is set to play a key role in nature conservation globally. The postdoctoral fellow and PhD positions will undertake research around developing integrated approaches for model-based evaluations of the ecological impacts of biodiversity offset policies. There will be a focus on applying strategic foresight techniques such as backcasting, as well as new approaches to assess the robustness of policies to different types of failure. There is also the potential to work on both Australian and international case studies and to spend time visiting the University of Helsinki. The project will be led by RMIT researchers Dr Ascelin Gordon and A/Prof Sarah Bekessy, with external Partner Investigator Prof Atte Moilanen (University of Helsinki). Contact: Ascelin Gordon [email protected]

Socio-ecological models for environmental decision making PhD opportunity The success of efforts to solve environmental problems will hinge, at least partly, on human responses. Yet environmental decision analysis tools typically do not include social processes, due to theoretical and methodological obstacles including strong disciplinary divides. For the first

time, this project will combine computational social science and ecology to develop a new approach to environmental decision science. Using case-studies in the design of biodiversity markets, this project will provide concrete examples of how socio-ecological models can support management decisions. The use of socioecological models will represent a paradigm shift in environmental decision theory that will lead to more effective environmental management. The PhD project will undertake research that seeks to understand and predict human behaviors that drive the success (or failure) of environmental initiatives, with a particular focus on biodiversity conservation. The project will be led by RMIT researcher A/Prof Sarah Bekessy. Contact: Sarah Bekessy [email protected]

To Apply Candidates from diverse disciplines are welcome to apply for all positions and international applicants will be considered. Successful applicants will have a demonstrated capacity and aptitude for conducting research and it is desirable that they possess strong quantitative skills including ecological modelling, spatial and statistical analysis. Applicants interested in either project should email a letter of interest and a CV including 3 referees to the contacts listed in the project descriptions above. The application deadline for the PhD positions is 13 April 2015. The postdoctoral fellow position will remain open until filled.

Position – Postdoc and 2 PhD Positions, RMIT University, Melbourne ...

Apr 13, 2015 - Yet environmental decision analysis tools typically do not include social processes, due to theoretical and methodological obstacles including ...

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