Top Research Jobs in Ottawa

Graduate research interns will own end-to-end projects developing customer world models and proactive intelligence. Work spans representation learning, foundation models, reinforcement learning, agentic decision systems, and evaluation. Tasks include designing methods, running experiments, publishing findings, and potentially shipping models into production to impact customer-facing products.

The role involves researching and developing large language models (LLMs) with a focus on transformer architecture, data curation, distributed training, and optimization. Responsibilities include conducting experiments, collaborating with teams, and staying updated on deep learning advancements.

Graduate research interns will own end-to-end projects to build customer world models and proactive intelligence: developing representation learning, foundation model, RL/agentic methods, evaluation frameworks, and shipping research into production to improve customer decision-making.

The Director of Research for Power Markets will oversee the QA/QC process for long-term price forecasts and act as an advisor to leadership, ensuring rigorous review and internal expertise engagement throughout the forecasting cycle.

Lead needs analysis, gap assessments, and research planning for a new Counter-Uncrewed Aerial Systems capability. Elicit stakeholder requirements, document use-cases and processes, evaluate state-of-the-art C-UAS solutions, recommend options, and liaise with government, industry, and research partners to close capability gaps.

Teach a graduate-level course (EDU8106) on epistemological foundations of research for PhD students. Cover epistemological assumptions, ethical implications, and application of research skills. Prepare and deliver course materials (English instruction), support e-learning modalities, assess student work, and engage in scholarly teaching aligned with recent publications.

The role involves designing and analyzing FEC for optical communication systems, collaborating with various teams, and improving design procedures using coding and signal processing technologies.

Support the Director in building partnerships and advancing evidence-based public policy. Provide policy analysis, advise researchers and administrators, coordinate outreach, events, and knowledge mobilization to influence Canadian policy and unlock research and funding opportunities.

Lead quantitative research projects end-to-end, design proposals, analyze large datasets, prepare reports and presentations, advise clients strategically, mentor junior staff, support business development, and manage account-level client relationships.

Under faculty supervision, assist with literature review and qualitative data collection (focus groups, interviews, community meetings), process and analyze qualitative data, prepare analytical summaries and community documents, develop research tools, and coordinate project activities while adhering to Indigenous research ethics and community-engaged practices.

Lead the Centre for Indigenous Community Infrastructure as a Tier 1 Canada Research Chair, build community-rooted interdisciplinary research programs, secure external funding, expand partnerships, supervise trainees, contribute to teaching, and advance culturally grounded, implementable infrastructure solutions for Indigenous and remote communities.

Short-term research assistant supporting a Faculty of Education project (130 hours between July 20 and Oct 15, 2026). Duties negotiated with supervisor; work on Main Campus in English. Successful candidates must complete required university-mandated legislated training and follow CUPE 2626 collective agreement terms.

Support completion of a pilot study on young adult perceptions of democracy: perform final (thematic) data analysis, draft conference paper and journal article, and help prepare a collaborative SSHRC Insight grant application.

Remote contract role applying equity research expertise to train and evaluate AI models. Review AI-generated financial analyses, analyze SEC filings and financial statements, create evaluation tasks and structured datasets, and collaborate with AI researchers to improve financial reasoning and assessment criteria. Minimum 2 years equity research experience; 10 hours/week minimum commitment.

The Research Scientist/Engineer will innovate algorithms for real-time adaptation, optimize ML systems, and ensure impactful product interactions.

Build tools and infrastructure for training language and multi-agent models in interactive environments; research and implement advances in language modeling and reinforcement learning; contribute to publications and open-source projects.

The role focuses on refining Luma's foundation models for better controllability and personalization while collaborating across research, product, and design teams.

Seeking a Research Scientist/Engineer to design and optimize distributed training systems for large-scale multimodal AI models using thousands of GPUs.

The Research Engineer will design scalable evaluation systems for multimodal generative AI models, integrating metrics and automated pipelines for model assessment and improvement.

The role focuses on optimizing AI models for efficiency, involving GPU/CPU code profiling, high-performance programming, and developing performance tools.

Conduct site qualification, initiation, monitoring, management, and close-out visits to ensure protocol, regulatory and ICH/GCP compliance. Review source documents and CRFs, manage queries, investigational product handling, ISF/TMF reconciliation, documentation, and support audit readiness. Act as liaison with sites and sponsors, support recruitment/retention, and may train junior staff. Heavy travel (up to 75%).

The Research Scientist will develop models for natural hazards, evaluate scientific literature, clean data, and implement projects using Python and GIS tools.

The role involves designing scalable data pipelines for 3D, video, and sensor data, optimizing infrastructure, and productionizing ML models with researchers.

The research engineer will focus on solving the structure from motion problem, contributing to 3D reconstruction in various industries using AI.

Research and build efficient ML systems for large-scale LLMs and agentic RL: design algorithms and system techniques, prototype in training/inference stacks, run large-scale experiments, and translate findings into production or publications.