Research Assistant (Biological Sciences)

23 Jan 2024
Job Information

Organisation/Company

NATIONAL UNIVERSITY OF SINGAPORE

Research Field

Biological sciences

Researcher Profile

Recognised Researcher (R2)
First Stage Researcher (R1)

Country

Singapore

Application Deadline

21 Feb 2024 - 00:00 (UTC)

Type of Contract

Other

Job Status

Full-time

Is the job funded through the EU Research Framework Programme?

Not funded by an EU programme

Is the Job related to staff position within a Research Infrastructure?

No

Offer Description

Job Description

The Insect Diversity Lab is in search of a full-time Research Assistant. The successful candidate will work with Dr John S. Ascher on mobilizing data for insects under a project on Shaping Public Adaptive Capacity For Environmental Infectious Diseases. 

We study global insect diversity with current focus on bees and related wasps of Southeast Asia. A key goal is to develop taxonomic infrastructure and to use this to advance research on insect urban ecology, behaviour, and conservation. For this project on Singapore, we will survey bees and other pollinators at a set of sites along an urban to greenspace gradient to understand how these are responding to Dengue control measures. In addition, we will assemble and validate specimen and observation records for both pollinators and vectors (mosquitos) for use in species distributions models (SDMs) in order to evaluate possible correlations at the national level. 

The main responsibilities of the position include, but are not limited to:

• Field sampling of bees/wasps using a sweep net, and potentially also collection/identification of larvae/adult mosquitoes.
• Lab-based work such as: 
  • Processing of collected specimens (pinning, labelling, curating)
  • Specimen databasing and validation of existing relational databases and spreadsheets
  • GIS and other mapping and downstream modelling using SDMs using MaxEnt

Qualifications

• Qualifications / Discipline:
  • Ecology
  • Entomology
  • Environmental Biology
• Skills [familiarity with or interest one of more of these is desirable]
  • Field ecology
  • Specimen processing
  • Databasing
  • GIS or other mapping
  • Statistics using R
• Experience [with one or more of these desirable]
  • Ecological field work
  • Data entry
  • Statistics, mapping, or modelling
  • Specimen curation

Interested applicants should submit their CV, and a short write-up about how this job may contribute to the applicant’s long term goals. Shortlisted applicants will be notified for an interview.

More Information

Location: Kent Ridge Campus
Organization: Science
Department : Biological Sciences
Employee Referral Eligible: No
Job requisition ID : 22725

Requirements
Additional Information
Where to apply

Website

https://www.timeshighereducation.com/unijobs/listing/363815/research-assistant-…

STATUS: EXPIRED