Top Research Jobs in Ottawa

Teach a three-credit graduate course introducing quantitative research planning, analysis, and interpretation across experimental, quasi-experimental, observational, and mixed-method designs. Responsibilities include synchronous videoconference instruction during scheduled hours and applying information and communication technologies in teaching. Candidates must hold a Ph.D. in education or a related field, demonstrate course expertise, have recent publications, and understand technology-supported teaching methods.

Conduct qualitative data analysis, draft sections of a research project report, and complete literature reviews under the supervision of John Ranellucci. The position runs from October 2026 through April 2027 for 260 total hours at the University of Ottawa Faculty of Education.

Conduct academic and grey-literature searches on relational governance and Anicinape knowledge systems. Identify and organize relevant publications, prepare analytical summaries and synthesis tables, manage references in Zotero, and support the identification of emerging concepts and theoretical debates. The role requires knowledge of First Nations contexts, literature-review experience, familiarity with qualitative and collaborative research methods, and interest in Indigenous ethics, governance, and knowledge revitalization.

Supports university researchers with grant, award, and research contract administration. Reviews applications and budgets for compliance, advises on ethics and submission requirements, coordinates internal competitions and external submissions, drafts support letters, manages research data, conducts bibliometric analyses, and develops research funding communications and workshops.

Advises senior university research leaders on strategic initiatives, major funding programs, and competitive research proposals. Guides researchers in aligning projects with institutional and funding priorities, monitors research funding trends, builds partnership networks, and prepares analysis, briefing materials, recommendations, and action plans. Supports complex cross-functional initiatives and decision-making regarding research investments, equipment, and facilities.

Provides research support to students, faculty, and staff in communications, media, newspapers, linguistics, modern languages, translation, and bilingualism studies. Responsibilities include research consultations, information-literacy instruction, research-guide development, liaison relationship management, collection-development input, service assessment, and collaboration on institutional research priorities. The role requires bilingual French-English communication, scholarly resource expertise, teaching and research-support experience, and an MLIS degree.

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.

Designs benchmarks, reinforcement learning environments, evaluation methodologies, scoring frameworks, and reproducible evaluation architectures for frontier models. Builds and ships production code, maintains data pipelines, analyzes results, and collaborates with research scientists, solutions architects, and ML engineers. The role combines independent research methodology with hands-on engineering across agentic systems, model evaluation, and RL infrastructure.

Design, implement, and deploy efficient adaptive machine learning systems that retrain or fine-tune models using production data. The role combines applied research with production engineering, including data strategy, model evaluation, online learning, reinforcement learning, observability, and real-world product development. The engineer will own data products, solve novel technical challenges, and collaborate closely with the founding team on research and product direction.

As a Research Engineer, you will integrate ML models into planning stacks, develop testing interfaces, and collaborate with teams to enhance autonomous truck capabilities.

Leads immunology clinical research from target prioritization and preclinical translation through first-in-disease programs. Partners with discovery, translational medicine, clinical development, and business development teams to evaluate assets, shape clinical strategies, design early-phase studies, define biomarkers and patient populations, and support go/no-go decisions. Serves as a hands-on clinical subject matter expert in autoimmune and inflammatory diseases, representing the organization with scientific leaders, investigators, regulators, and internal stakeholders.

Supports a fall education course alongside faculty, assists with class activities, and helps Professors Kane and Hollweck prepare an accepted AARE conference presentation based on classroom experiences.

Manage manuscript and peer-review workflow records, organize files, track submissions and reviewer activity, maintain reviewer expertise and contact records, and prepare routine administrative correspondence using approved templates. The role supports research operations for the Faculty of Education and requires 130 hours between September 2026 and April 2027.

Conduct independent research on frontier AI evaluation and auditing. Design rigorous evaluations, audit methods, and reproducible experimental pipelines; analyze model capabilities, risks, robustness, and alignment-relevant behavior. Produce audit reports, recommendations, publications, tools, and presentations while collaborating with technical, policy, engineering, and standards teams. The role requires careful handling of confidential information and may involve pilot audits with frontier AI companies.

Executes rodent in vivo studies across multiple drug discovery programs, including dosing, blood collection, necropsy, tissue harvesting, sample processing, animal monitoring, and study documentation. Coordinates timelines and sample needs with scientists, operational leads, and vivarium staff. Ensures IACUC compliance, animal welfare, data integrity, and protocol adherence while troubleshooting routine issues. Provides technical training and flexible weekend or time-sensitive study coverage.

Supports philanthropy fundraisers through prospect research, donor intelligence, stewardship, proposal development, and relationship-management administration. The role prepares prospect profiles, donor communications, reports, and impact updates; maintains accurate records in Raiser's Edge; tracks portfolio milestones and commitments; supports legacy giving; and improves research and stewardship processes. It collaborates with program, communications, business development, and international teams while handling sensitive donor information accurately and confidentially.

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.

Build and scale secure automated patching infrastructure for open-source vulnerabilities. Develop Rust and Unix-based CLI tools, package-manager integrations, APIs, testing tools, and developer-facing remediation workflows. Debug ecosystem-specific issues, contribute to JavaScript, React, and TypeScript frontends, and collaborate with security researchers to deliver certified packages and high-quality patches at scale.

Manages early-phase clinical research projects from initiation through closure, coordinating sponsors, sites, CRAs, vendors, and internal teams. Oversees site activation, recruitment, monitoring deliverables, regulatory documentation, training, budgets, timelines, quality, risk, and change control. Supports clinical monitoring, TMF inspection readiness, data review, study trackers, and dashboards while ensuring compliance with GCP, ICH, FDA, Canadian regulations, SOPs, and study requirements.

Supports digital marketing and patient recruitment campaigns by launching ads, monitoring KPIs, analyzing performance, updating study materials, coordinating sponsor revisions, and tracking deliverables. The role collaborates with internal teams, sponsors, and external partners while maintaining accurate campaign information and compliance-aligned content across multiple platforms.

Conduct original research on reliable agentic AI, developing methods for simulation, evaluation, optimization, regression control, and continuous learning. Analyze agent failures, traces, and human feedback; create experiments and prototypes; and translate research into production-facing systems. Collaborate with product and engineering teams, contribute to technical strategy, and provide rigorous experimental evidence. The role requires strong research depth, publication or open-source contributions, hands-on Python development, and expertise in LLM agents or agentic systems.

Manages the Berkman Library and coordinates services for the University of Ottawa Heart Institute. Provides advanced reference, research liaison, information literacy instruction, workshops, document delivery, and interlibrary loan services. Develops collections and information resources, supports teaching and research teams, and manages human, financial, and documentation resources. Requires an accredited MLIS, relevant professional experience, health sciences knowledge, library technology expertise, service-planning experience, strong communication skills, and bilingual English-French proficiency.

Develop signal processing algorithms for camera, LiDAR, radar, and other autonomous-driving sensor data. Design acquisition, fusion, filtering, and learning-based methods; optimize them for CPU, GPU, DSP, and specialized accelerators; and collaborate with autonomy and hardware teams to deliver reliable, low-latency production systems. The role also supports experimental validation and potential research publications.

Build infrastructure and software for training, deploying, scaling, monitoring, and operating machine-learning models and optimization algorithms for supply-chain applications. Responsibilities include translating supply-chain use cases into mathematical models, developing ML and optimization systems in C++ and Python, designing automated testing strategies, and supporting cloud or containerized workloads. The role also involves research into heuristics, optimization, GPU computing, MLOps, and AI-assisted software development.

Develop and optimize supply-chain algorithms by translating real-world problems into mathematical models. Lead C++ implementation, investigate heuristics and optimization techniques, and create comprehensive functional, regression, performance, unit, and integration tests. Collaborate with agile teams and stakeholders while improving software quality, development speed, and platform capabilities. Experience with commercial mathematical solvers, data structures, algorithms, and AI-assisted development is valued.