Research Assistant (Tropical Coastal Ecosystem Services)

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Young and research-intensive, Nanyang Technological University (NTU Singapore) is ranked 11th globally. NTU is also placed 1st amongst the world’s best young universities. Embracing Singapore's unique multi-ethnicity, NTU offers a high-quality global education to undergraduate and postgraduate students. And a vibrant, supportive and stimulating environment to a diverse pool of faculty members hailing from many different parts of the world. You will enjoy a host of opportunities for research collaboration within NTU and with world-leading universities and renowned institutes.
Embracing administrative excellence, NTU also offers a unique professional career to its management and support members. Nestled amid lush greenery in the west of Singapore, it takes you away from the hustle and bustle of the city. Yet, it offers you all of the adrenaline-pumping challenges no different from the fast-paced corporate world. Opportunities are abound for your professional development and growth if you also embrace excellence and challenges.
A Research Assistant position is currently available in the Asian School of the Environment, NTU.
The position will be based at CREATE tower at U-Town NUS.
Job Responsibilities
  • Collect ecological and social data in both laboratory and field settings
  • Literature review and data compilation of marine/coastal ecosystem services, and relevant policy and stakeholder information
  • Report to and work with the principal investigator
  • Any other ad-hoc duties as assigned by the principal investigator
Job Requirements
  • Undergraduate degree (second upper) in Environmental Science, Social Science, Geography, Life Sciences, or related fields
  • Excellent oral and written communication skills
  • Highly organized and proactive
  • Work independently and meet deadlines
  • Positive working attitude, both in a team and independently
Desired Skills:
  • Familiar with data analysis software (e.g., R, Matlab, SPSS, Primer or Python)
  • Experience with data analysis techniques (e.g., ANOVA, PCA, Regression, MDNS)
  • Experience with qualitative methods (e.g., observations, interviews, etc.) and analysis (e.g., thematic coding, etc.)
  • Excellent data management and analysis skills
Application procedure:
Interested applicants are invited to submit a letter of application, curriculum vitae, and contact details for two references by 3 April 2020 via this link:
For further information on the project, please contact Dr. Natasha Bhatia (
We regret to inform that only shortlisted candidates will be notified.
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