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 project aims to develop new template-based approaches for creating novel functional mesoporous transition-metal based materials with controlled composition, morphology, and porosity. They will be used to engineer high-performance catalysts for H2 production via electrochemical water splitting.
Delhi needs affordable, equitable policies to meet 2030 all-electric rideshare/delivery target. This project explores market mechanisms and revenue distance goals that could ease the EV transition for fleets. It assesses feasibility and effectiveness to shape a just transition.
Heat input is key to improving the quality of the wire arc additive manufacturing (WAAM) part. It can be controlled by the advanced current waveforms. This project will develop strategies to improve the quality of printed parts using advanced waveforms followed by material characterisation.
Design of control interventions in power grids with high-proportion of renewable energy generations, by coordinating grid-following and grid-forming converters. It will also suggest operational planning strategies for system operators, to stabilise such power systems during stressed conditions.
Invasive alien species (IAS) impact human health by disrupting urban biodiversity. Using citizen science, we will model IAS's effects on health, analysing their spread and interactions with native species. The study will involve citizen science data, health surveys, and spatial model analyses.
This project aims to develop a predictive maintenance system for the HVAC (Heating, Ventilation, and Air Conditioning) systems in commercial buildings. The goal is to enhance the reliability of HVAC systems and improve energy efficiency through the application of advanced AI and ML techniques.
Transitioning to green, hydrogen-based power needs accurate tools for simulating turbulent combustion. Wide range of interacting length and time scales of turbulence, chemistry and diffusion require closure models for small scales. These will be developed using full-scale-resolving numerical studies
While impacts of air pollution and heat stress on the non-communicable disease burden are established, evidence from the LMICs with indigenous health data are quite limited and most importantly, their combined impact is hardly documented. This project aims to fill this knowledge gap with a focus on ...
This project aims to develop a learning based framework that improves the performance of mixed-integer nonlinear optimization algorithms and will involve theoretical and computational aspects of discrete and continuous optimization, AI/ML techniques (RL, neural networks) and their interplay.
Mechanically flexible molecular crystals have implications in flexible electronics, molecular ferroelectrics and piezoelectric materials. This project will employ high-resolution crystallography and quantum chemical methods to understand the mechanistic aspects of such materials.