The Academy joint PhD research projects are well defined and developed by a collaborative team of researchers at UQ and IITD. Selected PhD students working on a project will be supervised by a joint supervision team of UQ and IITD academics.
To apply, select a ’Position Open’ project. You can nominate up to two projects in your EOI form.
This experimental PhD project will develop tools and complete spectroscopic studies of Rydberg atoms, applied to quantum sensing and computing. The aim is to generate and utilise coherent properties of quantum states via controlled excitation to Rydberg states, to demonstrate a quantum advantage.
The project will aim to improve the printability of a Ni-based superalloy with high precipitate fraction that is prone to cracking during additive manufacturing (AM), by alloy modification. Also the creep performance of this crack-free alloy will be compared with a novel superalloy amenable to AM
Colloidal aggregation is a critical process that influences food structure, stability and mouthfeel. This project aims to elucidate the drivers for plant protein aggregation using simulation and rheological measurements to enhance the development of acceptable and sustainable plant protein foods.
This project studies the life cycle multi-hazard performance of low carbon concrete structures comprised of recycled or sustainable aggregates, combined with fibre, timber or bamboo reinforcement. The project contributes to decarbonisation and improved life cycle performance of concrete structures.
This research aims to contribute to the advancement of wideband planar Artificial Magnetic Conductors (AMCs) at frequencies below 2 GHz, paving the way for more efficient and versatile electromagnetic wave control in various applications like rural broadband access, WPT, smart agriculture etc.
This project studies energy markets by fostering peer-to-peer trading based on blockchain technology. The theoretical analysis uses game theory and aims to boost competition, increase energy supply, and enhance welfare, aligning with Australia's and India's strategic priorities for sustainability.
Unlock sustainable infrastructure with BIM and LCA integration! Evaluate environmental impact early, backing 'Net Zero' goals by 2050. Drive efficient design and construction for a greener future.
Enhance articulated vehicle stability through trailer analysis, driver impact study, and universal control strategy development. Utilize learning-based MPC and torque vectoring. Validate with simulations and scaled prototypes, progressing to full-scale experiments for practical validation.
This project aims to develop a general parameterized Sequential Decision Making (para-SDM) framework for operations research (OR) problems. One of the important constituents of this framework will be a reinforcement learning (RL) paradigm that efficiently learns high quality solutions from data.
Expansive soils, typically found in India and Australia, undergo volume changes due to changing weather conditions, which can cause damage to infrastructure and buildings. The aim of the project is to develop a new foundation system that reduces the impact of these deformations on buildings.