The Data and Image Analysis Group (DIAG) at Memorial University of Newfoundland (MUN) is seeking applications for fully funded PhD positions in medical image analysis. This is a unique opportunity to contribute to cutting-edge research on neurodegenerative diseases, cancer, and retinal diseases by developing outcome prediction models using multimodal neuroimaging, whole-body CT, and retinal OCT imaging.

Link to the full posting:

Next-generation cloud computing and AI are mutually reinforcing engines for the digital economy. Cloud provides the scalable, accessible foundation enabling AI development and deployment, while AI drives demand for advanced cloud capabilities. However, challenges exist: AI techniques (often from CV/NLP) face overhead and performance issues in network optimization, and cloud infrastructure lacks inherent AI-specific optimization. This research focuses on revitalizing both cloud networks and AI techniques through their judicious integration to overcome these challenges.

I am recruiting a PhD student for Fall 2026 to work in the intersection of computational astrophysics, fluid dynamics, and artificial intelligence.

The general research area will focus on the combination of machine learning with computational fluid dynamics. Specifically, we will use machine learning models to augment traditional astrophysical, multi-physics smoothed particle hydrodynamics (SPH) simulations. We will mostly centre on the type of astrophysics implemented in the Phantom SPH code, meaning that a wide range of astrophysical domains are possible directions.

An ideal student would have experience and interest in building and training neural network models, as well as a suitable background in either physics, astrophysics, mathematics or computational science. Strong technical programming ability is necessary. Familiarity with deep learning frameworks (TensorFlow or PyTorch) and HPC environments is a plus.

Interested applicants should email Dr. Terrence Tricco their CV, transcript and brief statement of research interests. Visit https://www.cs.mun.ca/~tstricco/ to learn more about Dr. Tricco’s research.

Two graduate student research positions (1 PhD and 1 MSc) are available in the HCI lab beginning Fall 2026. The positions will involve evaluating how people interact with extended reality (XR) environments using quantitative methods. Current research opportunities include: barehand input, spatial understanding, and productivity applications. We're seeking students with strong computer science foundations and experience or interest in human-computer interaction and psychology. Experience with development in Unity will be considered an asset.