Research Assistant (Remote Sensing of Dynamic Human-water Systems)

Job Posting for Research Assistant
Remote sensing of dynamic human-water systems
 
The Resilient Water Systems lab (PI Gopal Penny) in the Department of Geography at the National University of Singapore is seeking a Research Assistant (RA) with experience in data science and/or GIS to better understand interactions among climate, environment, and water in rapidly changing agricultural systems in South and Southeast. This exciting position will allow the RA to apply technical approaches to help address urgent management questions regarding tipping points and regime shifts in human-water systems.
 
Primary responsibilities:
 
•    Generate high-resolution (10-30 m) remote sensing datasets of crop land cover.
•    Fuse secondary datasets with remote sensing imagery to improve classification.
•    Apply time series and geospatial analyses to understand agricultural behavior patterns. 
•    Merge existing remote sensing products with geophysical and social (e.g., survey) datasets.
•    Prepare figures and analyses to contribute to peer-reviewed research publications.

Interested applicants should submit the following:

•    Letter of interest and relevant experience
•    Resume or curriculum vitae
•    Contact details of three references
 
Deadline: April 16. 
Shortlisted applicants will be interviewed over Zoom.
Contract period: 1 year with possibility of renewal for 2nd year
 
Further enquiries can be directed to Dr. Gopal Penny at [email protected]
 

BSc or MSc related to GIS, earth science, engineering, mathematics, or machine learning
•    Excellent programming ability in at least one of the following: R, python, or Google Earth Engine
•    Proficiency in statistics and/or other quantitative skills
•    Good oral and written communication skills

Skills:
 
•    Strong organizational and problem-solving skills
•    Highly self-motivated, excellent communicator
•    Ability to work independently and in teams
•    Experience applying machine learning and deep learning tools (desirable)
•    Experience analyzing large-scale geospatial data (desirable)
 

At NUS, the health and safety of our staff and students are one of our utmost priorities, and COVID-vaccination supports our commitment to ensure the safety of our community and to make NUS as safe and welcoming as possible. Many of our roles require a significant amount of physical interactions with students/staff/public members. Even for job roles that may be performed remotely, there will be instances where on-campus presences are required. 

In accordance with Singapore's legal requirements, unvaccinated workers will not be able to work on the NUS premises with effect from 15 January 2022. As such, job applicants will need to be fully COVID-19 vaccinated to secure successful employment with NUS.

Location: Block AS2-03-01

Organization: National University of Singapore

Department : Geography

Employee Referral Eligible:

Job requisition ID : 13197