Coherent Elastic Neutrino-Nucleus Scattering Measurement with the Ricochet Experiment

This Mitacs Globalink Project will place a University of Toronto undergraduate physics student at the experimental site of a high-flux reactor-based neutrino experiment called RICOCHET in Grenoble, France. The intern will be hosted at Université Grenoble Alpes and will work closely with the local research team to support experiment operations and to develop a quantitative […]

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ESROP – Time-Series Data Modelling and Analysis with a Focus on Pattern Analysis

The research addresses the fundamental trade-off in financial econometrics between computational efficiency and predictive accuracy under varying market conditions. While existing literature has established hybrid models with high predictive capabilities, these often incur high computational costs that may not be necessary during stable market regimes. Conversely, traditional regime-switching models like the MS-GARCH utilize a Markov […]

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Optical Polarization Observations of Blazars and Tidal Disruption Events

This project aims to understand the processes of accretion disk and jet formation around supermassive black hole systems. It will be performed within the Black hOle Optical-polarization TimE-domain Survey (BOOTES, https://www.ia.forth.gr/index.php/project/1055), designed to study the polarized light coming from persistent and transient black hole systems called blazars and Tidal Disruption Events (TDEs), respectively. Within the […]

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ESROP – Physics-Informed Neural Network Engine for Perovskite Solar Cells

Perovskite solar cells are a promising next-generation energy technology, yet their widespread commercial adoption is hindered by extreme sensitivity to manufacturing conditions, leading to unpredictable performance. This project aims to overcome this reliability challenge by developing a “smart” predictive engine that integrates artificial intelligence with fundamental physics. By leveraging a massive dataset of nearly 500,000 […]

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ESROP – Exploring Metallization of Tandem Solar Cells through Machine Learning and Simulations

Tandem solar cells represent the future of renewable solar energy, offering efficiencies beyond traditional single-junction silicon cells. However, their current commercial viability is limited by their metallization pattern, which is the silver contacts on the surface that collect electricity. Current design processes are manual and computationally expensive; therefore, this project aims to integrate machine learning […]

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ESROP Developing a Hybrid Model for Water Table Evolution

The shear stress exerted by rivers on their banks is well known to drive erosion, over time sculpting the landscape through which they flow. These rivers are typically fed by groundwater flow from their surrounding catchments, and as this flow enters the river through the river bank it exerts a seepage force on the sediment, […]

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ESROP + A research-oriented project to study diffusion-based LLMs

This project studies a promising alternative to current autoregressive (AR) large language models: diffusion-based large language models. It aims to make them generate high-quality text more efficiently while maintaining speed and energy efficiency. The research will focus on understanding how these models work, identifying their root limitations, and developing improved methods that balance text quality, […]

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ESROP Intelligent Robotics Development and Implementation

The ESROP Global project with the Innovative Cognitive Computing (IC2) lab aims to implement and develop prior intelligent robotic systems with a focus on effective interactive systems and artificial intelligence integration for multimodal input data. This will be achieved through a combination of diverging as a team to develop extensions of current systems and data […]

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ESROP – Metallization Optimization in Tandem Solar Cells

This project focuses on identifying optimal patterns in a special type of solar cell, the tandem solar cell, in which different light-absorbing materials are stacked to increase efficiency. Specifically, the project aims to analyze an important, understudied aspect of these cells: their metallization patterns, which have a significant impact on cell performance. This project aims […]

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Beyond Carbon: Community Wellbeing in the Chyulu Hills REDD+ Project

As carbon markets expand across the Global South, community-based carbon projects are increasingly promoted as “triple-win” climate solutions that mitigate emissions, support economic development, and enhance local wellbeing. In Kenya, REDD+ projects have proliferated rapidly, yet there remains limited community-centred research examining their impacts on lived experience. This study addresses this gap through a qualitative […]

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Understanding the Process and Consequences of Hybrid Governance for Water Delivery in Odisha

Research shows that gaps in urban water provision in the Global South are often linked to governance arrangements rather than only physical water scarcity or inadequate infrastructure. This has led to institutional reforms that change who plans, manages, and delivers water. However, governance transition is typically gradual rather than a single transformative event, with older […]

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God’s Voice on Earth Goes Digital: Making and Mediating the Voice of the Pope

This project examines how the Vatican’s recent shift to digital audio technology is changing the way the Pope communicates with the world’s 1.3 billion Catholics, including over 12 million in Canada. By studying the audio engineers who design and operate the Vatican’s recording equipment, the church officials who make decisions about how the Pope should […]

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