Te Kura Aronukurangi | School of Earth and Environment
Located in Otautahi | Christchurch, Aotearoa | New Zealand
Full-time (37.5 hours per week)Fixed term for 1.5 yearsSalary range $61,007.08 p.a. - $91,000 p.a.Au Mahi | What You Will Do The School of Earth and Environment has an opportunity for a Research Associate/Postdoctoral Fellow to participate in a research project, "Testing the limits of data fusion algorithms and SAR images for detecting moving objects: Emperor penguins as a case study".
We seek a highly motivated individual with a research background in Animal Movement, Spatial Ecology, Geospatial Information Systems, Statistical Modeling, RADAR Remote Sensing or similar.
In this role you will undertake research to examine methods of data fusion (from animal tracking data and remote sensing) for identification of animals on images, and for predicting movement patterns given environmental covariates. Specifically, you will work to develop and validate methods for assessing high-resolution synthetic aperture radar (SAR) imagery to quantify emperor penguins and their habitats.
The fellowship is externally funded for 1.5 years. You will have completed a PhD in Ecology, Statistics, Remote Sensing, or a closely related subject. Applicants nearing completion of their PhD in the stated subject area will also be considered.
To be successful in this role you will have excellent communication skills and written English, strong quantitative and data analysis skills, the ability to work creatively and independently, and a strong research background.
You will be mentored by Associate Professor Michelle LaRue and Professor Wolfgang Rack and located within the School of Earth and Environment at University of Canterbury, Christchurch. The position will also involve extensive collaboration with project partners at the British Antarctic Survey, University of Colorado Boulder, NASA, and University of Waikato.
Minimum Requirements: A PhD in Ecology, Statistics, Remote Sensing or a related discipline / or Master's degree if nearing completion of a relevant Doctoral qualificationA strong research backgroundExpertise in geospatial modelling, remote sensing interpretation, data fusion techniquesStrong quantitative and data analysis skillsA publication track record as well as experience with preparation and delivery of quality oral presentations to a wide range of audiences is essentialA proven ability to communicate complex ideas and concepts (both orally and in writing) to a wide variety of groups including scientific and non-scientific audiencesThe ability to work creatively and independently.What we offer: Flexible working arrangementsSupportive working environmentGenerous annual leave provisions and competitive salaryA unique working environment in a beautiful campus with access to UC facilities such as the recreation centre and Staff club at discounted rates plus onsite cafés and eateries, and moreThe closing date for this position is: 30 November 2024 (midnight, NZ time) Applications will be reviewed after the close date. Pehea te tono mai | How You Apply
Applications for this position must be submitted on our careers website and should include a cover letter and resume. Please note, we do not accept applications by email, however we are happy to answer your queries in relation to the application process. Please forward these to ******.
For further information specifically about the role, please contact: Michelle LaRue (******) to discuss the opportunities associated with this position.
Please Note: Candidates who are working towards or nearing completion of a relevant Doctoral qualification will also be considered. Upon appointment, if the Doctoral qualification is yet to be awarded, the title of Research Associate will be applied and the salary will reflect the Research Associate salary scale. For overseas applicants, please visit the Immigration New Zealand website to review the latest health and visa requirements for visiting and working in New Zealand.
#J-18808-Ljbffr