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Hiring one PhD and one Masters student. In this work we are thermally and hydrothermally converting waste marine biomass (beach cast seaweed, shell waste, finfish waste) to value added products such as sorbents to adsorb carbon from stack gases (flue gas) and subsequently the "spent" sorbents in materials.
Contact: Kelly Hawboldt
Hiring one interdisciplinary PhD student. Interdisciplinary, inter-university research on climate and ocean issues in elementary/secondary schools, with the specific goal of enhancing youth agency and empowerment at the climate/ocean interface. Requires French and English language proficiency (written and spoken).
Contact: Kris Poduska
Hiring one modelling MSc student. Parameterize dissolution and sediment processes, considering non-equilibrium chemistry. Use observational and laboratory data from the team to constrain numerical results.
Contact: Kris Poduska
Hiring one PhD and one Masters student. The focus of this project is (1) the environmental factors (e.g., nutrients, light, grazers) limiting the distribution of kelp, especially on Arctic and subarctic coasts and (2) production and fate of blue carbon. The role will include leading field studies and laboratory analyses, analysing data, and writing manuscripts. Diving experience is an asset.
Contact: Ladd Johnson
Hiring one post-doctoral fellow (PDF). The role will lead and synthesize research with a group of three PhD students focused on the application of AI and machine learning to ocean-climate action. The selected PDF will conduct their own novel research program in one or more related areas such as automated monitoring of life underwater with images and video, automated monitoring of marine environmental DNA, or the use of large language models to provide verifiably correct information about the ocean-climate-people nexus. Candidates will have a PhD in computer science or a related area, and experience in the development, training, and application of machine learning and AI methodologies.
Contact: Christopher Whidden
Hiring one PhD student. This project will develop new systems and AI models for continuous automated data collection and analysis of life below water. These systems will be necessary to monitor and manage the risk of proposed climate action such as tidal energy, wind energy and ocean-based carbon dioxide removal, particularly as marine ecosystems change in response to warming oceans. Potential topics include multimodal analysis of video, acoustics, and text; diffusion-based generative augmentation; human-in-the-loop labeling; and zero-shot or few-shot generalization.
Contact: Christopher Whidden
Hiring one PhD student. This project leverages machine learning techniques to address data quality issues, focusing on preprocessing methods, adaptive learning algorithms, and innovative model architectures. This two-part strategy is designed to isolate factors that affect the robustness and reliability of AI systems across the variability of ocean and climate domains.
Contact: Frank Rudzicz
Hiring one PhD student. This project leverages statistical and physical based ocean models to increase accuracy and reduce training time of ocean-climate AI models. This includes developing new AI models based on physical systems as well as combining and integrating AI model outputs to rapidly estimate or down sample results from traditional ocean-climate models.
Contact: Evangelos Milios
Hiring one PhD student. Environmental DNA analysis is revolutionizing the management and monitoring of biodiversity, including invasive-species detection, monitoring of vulnerable and endangered populations, and profiling of entire ecological communities. Automated eDNA sampling is now a commercial and competitive market; the next step is to automate eDNA sensing, where samples are processed in situ without the need for manual analysis. The goal of this project is to develop algorithms that can maximize the sensitivity and precision of in situ DNA sequencing while minimizing the associated CPU and memory requirements.
Contact: Robert Beiko
Dalhousie University operates in the unceded territories of the Mi’kmaw, Wolastoqey, and Peskotomuhkati Peoples. These sovereign nations hold inherent rights as the original peoples of these lands, and we each carry collective obligations under the Peace and Friendship Treaties. Section 35 of the Constitution Act, 1982 recognizes and affirms Aboriginal and Treaty rights in Canada.
We acknowledge that the lands on which Memorial University’s campuses are situated are in the traditional territories of diverse Indigenous groups, and we acknowledge with respect the diverse histories and cultures of the Beothuk, Mi’kmaq, Innu, and Inuit of this province.
