Multiple Positions Available for Flooding Project

Full-time/Part-time, 6-12 months (with potential extension)

We are looking for Research Assistant/Associates (RAs) to work on a range of multidisciplinary research projects assessing the value of nature in a range of contexts drawing on remote sensing, GIS, ecology, and social sciences. You will contribute to a number of projects which include: mapping biodiversity and ecosystem services in cities, conducting multi-criteria decision analysis for sustainable regional planning and wildlife connectivity modelling. The project will utilise cutting-edge GIS analyses drawing on emerging approaches to spatial planning, landscape ecology and regional development including nature-based solutions, urban ecosystem services and socio-ecological systems approaches. A second related project will apply computer vision approaches, particularly using machine learning, to mapping flooding.

As an RA on this project, you will work under the supervision of Dr. Risqi Saputra and Dr. Alex Lechner. However, you will work closely with other academic staff in a variety of areas at Monash Indonesia, Monash Australia, and Monash Malaysia.

The position is based at Monash University (Indonesia), a research intensive university, ranked #44 in the world in the Times Higher Education World University Rankings 2023 and the first foreign university in Indonesia.

You must possess verbal and written communication skills in English. Specific requirements for the position are as follows:

Providing GIS support including remote sensing, mapping, and digitising environmental geospatial analyses using ArcGIS.

Responsibilities:

• Conduct geoprocessing analysis of spatial indicators and proxies of a range of social and environmental
• Spatially explicit ecological modelling i.e. connectivity modelling, ecosystem services modelling
• Visualise spatial datasets
• Contribute to writing report, conference paper, and/or journal articles in English
• Actively collaborate with experts and partners from diverse disciplines

Essential Selection Criteria:

• Bachelor or Master degrees in Geospatial science/Geography/Environmental Science or equivalent with a substantial GIS component
• Substantial experience working with geospatial analysis of social and/or environmental issues
• Experience in visualising and mapping environmental datasets
• Skills in report writing and/or academic publication
• Experience in ArcGIS and/or remote sensing software
• Background or interest in ecology or environmental sciences or geography
• Excellent communication skills in English, both in verbal and in writing

Desirable Selection Criteria:

• Programming skills i.e. Python
• Remote sensing analysis
• Experience in Google Earth Engine
• Skills in web-mapping and visualisation

Developing deep-learning and computer vision algorithms for mapping flooding.

Responsibilities:

• Perform data engineering and wrangling from scatter resources (e.g., Sentinel Satellite imagery, Google Maps platform, etc.)
• Develop, train, test, and evaluate semantic segmentation algorithms to map flooding
• Analyse the experimental data and visualise it in compelling manner
• Lead and/or contribute to writing report, conference paper, and/or journal articles in English
• Actively collaborate with experts and partners from diverse disciplines
• Leading and acting as point of contact for small group of RAs

Essential Selection Criteria:

• Experienced Bachelor/Master degree in Computer Science/Data Science/Computer Vision/Artificial Intelligence or equivalent
• Substantial experience working on computer vision project, with proven ability in writing Python code and developing Machine Learning system
• Track record of academic publications in English

Desirable Selection Criteria:

• Track record on working with large-scale machine learning and computer vision problem
• Experience on developing semantic segmentation algorithms
• Experience or interest in the application of computer vision to remote sensing

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RA will have a competitive salary and access to Monash University Indonesia facilities. Applicants must have an existing right to work in Indonesia (i.e. Indonesian citizen or in possession of a valid work visa). You will be required to come into the Monash campus at Tangerang once a week at least.

If you are interested, please send your application for position [1] RA GIS Environment to alex.lechner@monash.edu and for position [2] RA Computer Vision to Risqi.Saputra@monash.edu with the following:

• Cover letter outlining your motivation
• Response to the selection criteria
• CV and other supporting documents
• Include keywords in the email subject name “Citarum project”

The application remains open until the position is filled.