Skip to main content

Research Associate / Research Fellow (Marine Remote Sensing) The University of Western Australia.






Research Associate / Research Fellow (Marine Remote Sensing) The University of Western Australia


Research Associate / Research Fellow (Marine Remote Sensing)
Job no: 505000
Work type: Full time
Location: Crawley, Perth CBD
Categories: Science
Faculty of Science
Indian Ocean Marine Research Centre
Fixed term 2 year appointment, full-time basis
Salary range: Level A $70,936 p.a. – $95,464 p.a. or Level B $100,374 p.a. – $118,776 p.a. plus superannuation
The University of Western Australia (UWA) is ranked amongst the top 100 universities in the world and a member of the prestigious Australian Group of Eight research-intensive universities.  With an enviable research track record, vibrant campus and working environments, supported by the freedom to 'innovate and inspire' there is no better time to join Western Australia's top University.
About the team
The Indian Ocean Marine Research Centre (IOMRC) is a collaboration between the University of Western Australia (UWA), the Commonwealth Scientific and Industrial Research Organisation (CSIRO), Australian Institute of Marine Science (AIMS), and West Australia Department of Primary Industries and Regional Development.
The ICoAST project involves all IOMRC partners and will focus on several sites along Western Australia's coast including World Heritage listed Shark Bay. The project has three dedicated research themes focusing on: remote sensing of physical processes in shallow marine habitats, remote sensing of benthic habitats, and molecular ecology.
About the opportunity
Under the supervision of the Remote Sensing of Physical Processes Research Theme leads, Dr Jeff Hansen and Dr Paul Branson, this position will focus on:
Evaluating and developing satellite remote sensing methods to measure bathymetry in optically deep waters.
Contribute to the development of a low-altitude unmanned aerial vehicle (UAV) that fuses data from multiple sensors to accurately, routinely and cost-effectively measure bathymetry.
Investigate the opportunities to use novel time- and space-resolved drone measurements to observe wave and hydrodynamic processes over complex benthic habitats.
You will work in both local and remote fieldwork sites to collect ground truthing datasets, test new hardware, develop algorithms and machine-learning methods. This position will also offer you the opportunity to work closely with research staff across all research themes to integrate the remote sensing techniques to achieve broader project goals. You will also provide supervision and assist with the training of research students.
To be considered for this role, you will demonstrate:
PhD in Remote Sensing, Oceanography, Ocean Engineering, Mechatronics or related discipline
Relevant research experience in the development or application of remote sensing algorithms
Experience with data analysis using software such as Python or Matlab
Experience in preparing manuscripts for publication and giving presentations at conferences
Highly developed interpersonal, written and verbal communication skills
Ability to work independently, show initiative and work productively as part of a team
About you
To be successful in this position, you will possess experience in supervising and training undergraduate or postgraduate research students. You will be flexible and willing to participate in field activities involving overnight trips to remote locations.
A valid, or ability to obtain, a C Class driver's license and CASA Remote Pilots Licence (RePL) will also be required for this position.
Full details of the position responsibilities and the selection criteria are outlined in the position description.  In preparing your application you are asked to demonstrate clearly that you meet the selection criteria.
Please see the position description prior to applying: 📷 Position Description - Research Associate or Fellow (Marine Remote Sensing).pdf
Closing date: Tuesday,  20 October 2020
This position is open to international applicants.
Application Details: Please apply online via the Apply Now button.
Our commitment to inclusion and diversity
UWA is committed to a diverse workforce. We celebrate inclusion and diversity and believe gender equity is fundamental to achieving our goal of being a top 50 university by 2050.
We have child friendly areas on campus, including childcare facilities. Flexible work arrangements, part-time hours and job sharing will all be considered.
UWA has been awarded Platinum Employer Status for being a Top Ten Employer for LGBTI Inclusion by the Australian Workplace Equity Index (AWEI -2019).






Vineesh V
Assistant Professor of Geography,
Directorate of Education,
Government of Kerala.
https://www.facebook.com/Applied.Geography
http://geogisgeo.blogspot.com

Comments

Post a Comment

Popular posts from this blog

Disaster Management

1. Disaster Risk Analysis → Disaster Risk Reduction → Disaster Management Cycle Disaster Risk Analysis is the first step in managing disasters. It involves assessing potential hazards, identifying vulnerable populations, and estimating possible impacts. Once risks are identified, Disaster Risk Reduction (DRR) strategies come into play. DRR aims to reduce risk and enhance resilience through planning, infrastructure development, and policy enforcement. The Disaster Management Cycle then ensures a structured approach by dividing actions into pre-disaster, during-disaster, and post-disaster phases . Example Connection: Imagine a coastal city prone to cyclones: Risk Analysis identifies low-lying areas and weak infrastructure. Risk Reduction includes building seawalls, enforcing strict building codes, and training residents for emergency situations. The Disaster Management Cycle ensures ongoing preparedness, immediate response during a cyclone, and long-term recovery afterw...
Post a Comment
Read more

Logical Data Model in GIS

In GIS, a logical data model defines how data is structured and interrelated—independent of how it is physically stored or implemented. It serves as a blueprint for designing databases, focusing on the organization of entities, their attributes, and relationships, without tying them to a specific database technology. Key Features Abstraction : The logical model operates at an abstract level, emphasizing the conceptual structure of data rather than the technical details of storage or implementation. Entity-Attribute Relationships : It identifies key entities (objects or concepts) and their attributes (properties), as well as the logical relationships between them. Business Rules : Business logic is embedded in the model to enforce rules, constraints, and conditions that ensure data consistency and accuracy. Technology Independence : The logical model is platform-agnostic—it is not tied to any specific database system or storage format. Visual Representat...
Post a Comment
Read more

Approaches of Surface Water Management: Watershed-Based Approaches

Surface water management refers to the strategies used to regulate and optimize the availability, distribution, and quality of surface water resources such as rivers, lakes, and reservoirs. One of the most effective strategies is the watershed-based approach , which considers the entire watershed or drainage basin as a unit for water resource management, ensuring sustainability and minimizing conflicts between upstream and downstream users. 1. Watershed-Based Approaches Watershed A watershed (or drainage basin) is a geographical area where all precipitation and surface runoff flow into a common outlet such as a river, lake, or ocean. Example : The Ganga River Basin is a watershed that drains into the Bay of Bengal. Hydrological Cycle and Watershed Management Watershed-based approaches work by managing the hydrological cycle , which involves precipitation, infiltration, runoff, evapotranspiration, and groundwater recharge. Precipitation : Rainfall or snowfall within a...
Post a Comment
Read more

Raster Data Structure

Raster Data Raster data is like a digital photo made up of small squares called cells or pixels . Each cell shows something about that spot — like how high it is (elevation), how hot it is (temperature), or what kind of land it is (forest, water, etc.). Think of it like a graph paper where each box is colored to show what's there. Key Points What's in the cell? Each cell stores information — for example, "water" or "forest." Where is the cell? The cell's location comes from its place in the grid (like row 3, column 5). We don't need to store its exact coordinates. How Do We Decide a Cell's Value? Sometimes, one cell covers more than one thing (like part forest and part water). To choose one value , we can: Center Point: Use whatever feature is in the middle. Most Area: Use the feature that takes up the most space in the cell. Most Important: Use the most important feature (like a road or well), even if it...
Post a Comment
Read more

Disaster Management international framework

The international landscape for disaster management relies on frameworks that emphasize reducing risk, improving preparedness, and fostering resilience to protect lives, economies, and ecosystems from the impacts of natural and human-made hazards. Here's a more detailed examination of key international frameworks, with a focus on terminologies, facts, and concepts, as well as the role of the United Nations Office for Disaster Risk Reduction (UNDRR): 1. Sendai Framework for Disaster Risk Reduction 2015-2030 Adopted at the Third UN World Conference on Disaster Risk Reduction in Sendai, Japan, and endorsed by the UN General Assembly in 2015, the Sendai Framework represents a paradigm shift from disaster response to proactive disaster risk management. It applies across natural, technological, and biological hazards. Core Priorities: Understanding Disaster Risk: This includes awareness of disaster risk factors and strengthening risk assessments based on geographic, social, and econo...
Post a Comment
Read more