• Two (2) full time fixed term (2 year) positions available
• Based in Hobart
• Design, develop and implement analytical and computational methods with the DEEP group.
Dynamics of Eco-Evolutionary Patterns (DEEP)’s vision is ‘striving for good outcomes in an uncertain future’, with robust modelling and statistical analyses being a key theme. The DEEP group tackles issues of global concern, for example: i) How much land do we need to feed a future world? ii) What are the key drivers of global change and how can we protect biodiversity? iii) Use of meta-modelling approaches to understand population viability of a species, and iv) Development of improved methods for predicting species distributions and extinction.
The Postdoctoral Research Fellow will contribute actively to the design, development and implementation of analytical and computational methods across research groups, in consulation with all supervisors. Research questions will be tackled using global and national databases (historical and contemporary records) and a variety of statistical and simulation modelling approaches.
• Undertake research on the impact on habitats and species diversity of alternative agricultural, forestry, urban and energy development pathways of land-use change.
• Top- down analysis of global (national- or regional-level) datasets to assess land- use change and greenhouse-gas emissions, exploring the consequences of a suite of contrasting development scenarios, supported by the creation of a hierarchical meta-model to forecast and optimise future land-use decisions, at multiple spatial scales.
• Development of a bottom-up modelling framework to decouple demand growth for human goods and services from environmental damage and impacts on biodiversity.
• Prepare and publish scientific papers, including effective liaison and communication with research collaborators and stakeholders.
• Participate in the supervision of Honours and postgraduate-level research projects.
To be successful in the role, your application will need to demonstrate;
• A PhD in conservation biology, ecology, evolution, environmental change or a related discipline (including mathematical/statistical/simulation modelling).
• Capacity to undertake high-level analysis, such as generalised linear models, machine learning, and multi-model inference with likelihood or Bayesian inference.
• Knowledge and experience of statistical, scripting and modelling software.
• Experience in implementation of logistically challenging tasks, including robust study design, literature synthesis, data collection and database management.
• Demonstrated, well-developed written and oral communication skills, including multiple first-author publications in refereed journals.
Appointment to this role will be at Academic Level A and will have a total remuneration package of up to $108,076 comprising base salary within the range of $71,443 to $92,373 plus 17% superannuation.
How to Apply - https://www.utas.edu.au/jobs
• To apply online, please provide your resume, cover letter outlining your suitability and motivation for the role, and your responses to the position/selection criteria.
• For further information about this position, please contact Jessie Buettel, Research Fellow in Conservation Biology, Jessie.Buettel@utas.edu.au or Barry Brook, ARC Australian Laureate Professor, Plant Science, Barry.Brook@utas.edu.au, 03 6226 2655.
• Please visit http://www.utas.edu.au/jobs/applying2 for our guide to applying and details on the recruitment process.
Applications close Sunday, 25 August 2019, 11.55pm
You must have the right to live and work in this location to apply for this job.