Researcher / Forest Ecology (Vegetation) (Contract)
1 week ago
[What the role is]
The Singapore Botanic Gardens (SBG) is one of the oldest tropical botanical gardens and one of only three botanic gardens in the world inscribed as a UNESCO World Heritage Site. It now also hosts a Tropical Forest Ecology Research programme to coordinate research to inform forest conservation strategies and policy in Singapore and the region. The SBG is a Division of the National Parks Board which is responsible for Singapore’s network of parks and nature reserves.
[What you will be working on]
You will be part of a team that runs the Long-Term Forest Ecological Monitoring (LTFEM) project, the anchor project of the Tropical Forest Ecology Research Programme at the Singapore Botanic Gardens of the National Parks Board.
Specifically, you will:
- Carry out fieldwork in the part of the Central Catchment Nature Reserve containing the Nee Soon Swamp forest, Singapore’s last substantial tract of intact freshwater swamp forest
- Carry out litter-trapping in selected plots maintained by the LTFEM project, including sorting of leaf litter to species and associated laboratory work
- Plan for surveys and prepare the necessary permissions and equipment prior to each session of field work; key in data and maintain the equipment after each session of fieldwork
- Coordinate with groups of researchers that would be making use of the LTFEM plot network
- Analyse data on plant community ecology, phenology and ecosystem ecology and share findings through presentations and writing of scientific manuscripts and reports
[What we are looking for]
- Bachelor’s or Master’s Degree in Biology, Environmental Sciences, Life Sciences or Geography, or related disciplines
- Physically fit enough to carry equipment and walk long distances in forested terrain and carry out data collection
- Organised, meticulous, and independent
- Good interpersonal skills and ability to work in a team environment under time pressure
- Good written and verbal communication skills in the English language
- Preferably experience with plant identification, data analysis (e.g., using the statistical programming language R), and Geographic Information Systems software
- Preferably possess a Singapore Class 3 driving license
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