This position has been filled. However, please do contact Matthew if you are interested in postdocs with the ECL. We are especially interested in supporting ARC DECRA and Linkage proposals.
Postdoc in SE Asian Wildlife Ecology (Singapore)
Matthew Luskin and The Ecological Cascades Lab (University of Queensland) invite applicants for a postdoc based in Singapore, in collaboration with Prof David Wardle at Nanyang Technological University. We will are reviewing applications immediately and the successful candidate is expected to start in December 2020 or January 2021.
Southeast Asian wildlife is threatened by habitat loss and fragmentation and hunting. The loss of predators may also trigger trophic cascades. However, some generalist species like wild pigs and macaques thrive in these disturbed conditions, especially if they are able to capitalize on anthropogenic food sources. The secondary impacts of altered wildlife include cascading effects on the plant communities. We seek a wildlife ecologist to study these issues.
A key issue in Singapore is the recolonization of native wild boars (Sus scrofa) that were extirpated from the island for 50 years. The wild boars have now spread into core NParks conservation and recreation areas. This could produce positive or negative environmental and social impacts. Example questions include: how do wild boars affect other vertebrates and how do they alter food-web structure? What is the population of wild boars in various forests and have they reached their carrying capacity? How do wild boars affect natural plant communities and especially tree recruitment? How do food webs in Singapore differ from other Southeast Asian forests?
To assess these questions, the successful applicant will analyze a large dataset from camera trapping from across Southeast Asia and establish new field work in Singapore. Fieldwork tasks focused on wild boar include demography (camera traps), movement (GPS collaring), and diet (DNA metagenomics of fecal samples). This work will be carried out in multiple NParks protected areas in Singapore.
The Research Fellow will be responsible for leading (i) comparative analyses of Singaporean rainforest food-webs to other sites in Southeast Asia, (ii) collection and analysis of field data described above, (iii) seeing this work through to publication in major research journals. There will be assistance from one full-time Research Assistant and from NParks staff.
Duties and Responsibilities
Design and implement fieldwork on wildlife ecology
Data management and statistical analyses
Work effectively with NParks and project PIs
Mentor junior colleagues, as needed
Writing and publication of results in peer-reviewed journals
Knowledge and Experience Requirements:
PhD degree in ecology or closely related field
Experience analyzing and publishing using wildlife data
Extensive experience with statistical analysis using R
Prior experience in publishing in peer-reviewed scientific journals
Excellent oral and written communication skills in English
Funding for this position is for one year and at competitive rates. The start date is December 2020 or January 2021, although there is some flexibility around this. More information available at www.ecologicalcascades.com
Interested applicants are invited to submit a cover letter, full CV and names and contact details of three referees to email@example.com indicating subject line: Research Fellow – Wildlife ecology – LAST NAME. Review of applications will begin immediately. Kindly note that only short-listed candidates will be contacted for interview.
About NTU and details of the position
The work will be overseen by Dr. Matthew Scott Luskin at University of Queensland (Australia) and is funded by Singapore’s National Parks Board (NParks). The position will be based at NTU’s The Asian School of the Environment (ASE) in Prof. David Wardle’s research group. Young and research-intensive, NTU is ranked 11th globally and 1st among the young universities.
Please use the following link to submit final documents after pre-approval from Luskin/Wardle