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We have 15 Machine Learning PhD Projects, Programmes & Scholarships in Canada
Machine Learning PhD Projects, Programmes & Scholarships in Canada
We have 15 Machine Learning PhD Projects, Programmes & Scholarships in Canada
Funded fellowship opportunities in Computer Science Education
Computer science education is an interdisciplinary field of research that leverages advances in theories and methods from education, psychology, computer science, and engineering. Read more
Funded fellowship opportunities in Big Data Analytics, Artificial Intelligence and Machine Learning
The Big Data Analytics, Artificial Intelligence and Machine Learning research cluster tackles important problems and develops real-life applications, harnessing… Read more
Funded fellowship opportunities in Algorithms and Bioinformatics
Through collaboration with colleagues in areas such as Computer Science, Biology, Oceanography and Statistics, researchers in the Algorithms and Bioinformatics cluster develop tools that have gained widespread use nationally and internationally. Read more
Detection, prediction, and prevention of cyber-attacks on critical infrastructure
The objective of this project is to investigate, design and implement mechanisms for the detection, prediction, and prevention of cyber-attacks such as Distributed Denial of Service (DDoS) on Supervisory Control and Data Acquisition (SCADA) systems, which form the core of critical infrastructure such as power grids, water supply control, and nuclear systems. Read more
Security for Healthcare Internet of Things
The primary objective of this project is to investigate vulnerabilities, security threats and intrusions on Healthcare IoT systems, and design intrusion detection and prevention mechanisms to mitigate cyber-attacks on such systems. Read more
Cyber Security and Resilience
In this research project, we are going to work on monitoring and analysis of adversity and changes in the communication networks and services using machine learning and artificial intelligence approaches. Read more
Reinforcement Learning With Poor Reward Signals
The reward signal, which defines the goal of a Reinforcement Learning (RL) agent, is a critical part of any RL problem. For many real-world RL problems, however, the rewards are often quite sparse, most of the time only indicating whether the task is completed partially or fully. Read more
Text mining using deep language models and conversational AI
Deep language models and conversational AI have revolutionized natural language processing by providing semantic vector representations of text (embeddings) and by offering a question-answer style of interaction with text data. Read more
Evolutionary Optimization
I am seeking applications for a Ph.D. position with a focus on real-valued evolutionary optimization. The aim of the research is to contribute to the design of capable black-box optimization strategies through an understanding of algorithm properties on simple test problems. Read more
Interpreting Deep Learning Models of NLP
AI models, specifically deep learning models, have achieved state-of-the-art performance across a multitude of domains including computer vision and natural language processing (NLP). Read more
Speech and language processing for the healthcare system
I am recruiting ambitious, experienced graduate students to work on deep learning in speech and natural language processing, brain data, machine learning in healthcare, and especially any intersection of these. Read more
Continuous automated monitoring and prediction of the impact of climate change on ocean biodiversity
Tracking the location and presence of fish and marine mammals is necessary for both scientific study and conservation. The objective of this research is training integrated ML models with images, acoustics and text to answer questions about the diversity and abundance of life below water in monitored regions at scale. Read more
Visual learning biases for accelerating Tangled Program Graphs
Deep learning solutions to visual reinforcement learning tasks tend to rely on convolutional neural networks. Such a starting point represents a high computational cost necessitating GPU support. Read more
Natural Language Processing and Behavioural Analytics
My recent research had focused on applied Natural Language Processing (NLP) methods for authorship attribution, financial report analysis, financial forecasting, and application of deep learning methods in NLP. Read more
Funded PhD / MSc in Advanced Electron Microscopy
Electron microscopy is vital for many of todays advanced technologies and for the advancement our understanding of the nano- and micro-world, from biological systems to advanced materials and for the semiconductor devices that are vital to our communication and computational systems. Read more
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