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Project
25/004 – Data Products – How to Estimate their Business Value
PROJECT DESCRIPTION: The Water Corporation1 collect an enormous amount of data on its assets and store this data in their business information systems. Decisions need to be about data quality (timeliness, […]
CEEDWA Partner
Water Corporation WA
Deadline
Sunday 12th May, 2024
Project
25/003 – Computational Modelling of Form Filling of Concrete
PROJECT DESCRIPTION: Problem and Opportunity ‘Teeroff’ beams are a form of precast beam widely used for bridge construction in Western Australia. The typical cross section of such beams, which is […]
CEEDWA Partner
Main Roads WA
Deadline
Sunday 12th May, 2024
Project
25/002 – AI Based Computer Simulation of Search and Rescue Operations Using Aerial Drones
PROJECT DESCRIPTION: Aerial drones became rather mainstream, and help saving lives in bushfire or search and rescue. In this project you will work in the exciting field of aviation. As […]
CEEDWA Partner
UXMachines Pty Ltd
Deadline
Sunday 12th May, 2024
Project
25/001 – Robotic Purge Dam Investigation to Improve Pipe Welding Efficiencies
PROJECT DESCRIPTION: There is a business need to improve how the Engineering Construction (EC) division installs and removes welding purge dams on applicable projects. As an example, stainless pipe welding […]
CEEDWA Partner
Monadelphous Engineering Associates Pty Ltd
Deadline
Sunday 12th May, 2024
Project
PhD – Computational investigation of the possible importance of a little-known effect for the magnetic confinement of fusion plasmas
PROJECT DESCRIPTION: The successful candidate will investigate a confining effect due to plasma flow in a vacuum chamber (cylindrical or toroidal), on the inner surface of which there is a multipolar magnetic field, and […]
CEEDWA Partner
Meranti Research Laboratories
Deadline
Expression of Interest - Aim is to start in early 2024, subject to Admission by the GRS
Project
25/005 – Solving Decomposed Complementary Water Scheduling Models
25/005 - Solving Decomposed Complementary Water Scheduling Models
PROJECT DESCRIPTION: The data analytics team at Water Corporation has developed two related but distinct optimisation models for the scheduling of water: Groundwater bore selection per treatment plant Water transfer […]