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Project description
 
Global food loss and waste has been identified by the Food and Agriculture Organization of
the United Nations (FAO) as an issue of major public concern. Around 1/3 of the world’s food goes to waste every year, and even a small country such as Singapore has had an increase of nearly 35% in food waste over the past decade. However, there is actually immense potential to upcycle this high-value food resource via insect bioconversion: Using fast-growing insects to consume food waste and produce high-value commodities.
 
Black soldier fly (BSF) larvae are able to voraciously feed on and process food waste quickly. Mature larvae and the leftover frass are also nutrient-rich, and can be processed into animal feed as well as nutrient-rich soil supplements suitable for farming. Thus, BSFs are an attractive solution for efficient organic waste management via bioconversion. BSFs could present a sustainable solution to Singapore’s crisis of food waste and security, yet there is a paucity of essential information on how we can optimize.
 
The PhD student will quantify and test bioconversion efficiency using various waste streams at NUS BSF facility. In addition, he/she/they will investigate the feasibility of industrializing BSFs in collaboration with a local industrial food waste company.
 
Requirements
  • Minimum Degree in biology, environmental science or a related field
  • Keen on working with and maintaining insects for research purposes. Fieldwork experience is desirable but absence is not a preclusion.
  • Ability to work collaboratively in a team and communicate with people with and without a science background.
  • Statistical background as well as proficiency in R programming and Python are preferred.
  • Written and verbal competency in English
 
Application details
 
Apply via http://www.dbs.nus.edu.sg/education/prospective-graduate-students.html
  • Deadline for application is 30th June 2020
  • Applicants should be ready to start by January 2021
 
The Reproductive Evolution Lab at NUS is led by Assistant Professor Nalini Puniamoorthy.

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