Archived listing. The details below describe a past opening.
August 24, 2026
OCEAN DATA SPECIALIST (RTP V)School of Ocean Technology/Centre for Applied Ocean Technology
Contractual Position to March 31, 2027 (with the possibility of extension)
A campus of Memorial University, the Fisheries and Marine Institute (MI) is North America's most comprehensive marine institute dedicated to education, training, applied research, industrial response, and technology transfer supporting ocean industries. Operating within MI’s School of Ocean Technology, the Centre for Applied Ocean Technology (CTec) provides research and development support, industry outreach, and scientific and technical advisory services to clients and partners, with expertise spanning ocean observation, ocean mapping, remotely operated vehicles (ROVs), aerial drones, autonomous surface vehicles (ASVs), and autonomous underwater vehicles (AUVs). The Centre is based at The Launch, MI’s ocean innovation centre and a cornerstone facility in Canada’s ocean innovation ecosystem, located in Holyrood, Newfoundland and Labrador, approximately 35 minutes from St. John’s. This team works at the cutting edge of ocean technology, in collaboration with a wide range of marine sectors locally, nationally, and internationally, to enhance the safety, efficiency, sustainability, and profitability of maritime pursuits through the application of technology.
DUTIES
The Data Specialist is responsible for the development of sophisticated data products, including verification and quality assessment of real-time and archived data, and for supporting the development and application of artificial intelligence and machine learning models for ocean science and technology applications. These data products and models enable scientific, academic, and industrial users to understand, interpret, analyze and apply data acquired from a multitude of ocean sensors and platforms, including but not limited to autonomous vehicles, moored buoys, vessels, underwater video and imaging systems. Duties may include preparing and managing large image, video and sensor datasets; developing data annotation and quality-control processes; designing, training, testing and optimizing computer vision and machine learning models for object detection, classification, tracking and image or video analysis; and evaluating model performance under varying environmental and operational conditions. The successful applicant may also integrate model outputs with fisheries, environmental, spatial and other marine datasets; collaborate with subject matter experts to support model development and validation; and contribute to the deployment of data products and AI/ML models into operational research, monitoring, technology development or decision-support applications.
Qualifications
Applicants must have a degree in Computer Science, Data Science, Artificial Intelligence, Electrical or Computer Engineering, or a related discipline, with a minimum of 3 years of relevant experience working with oceanographic, environmental, image, video or other scientific datasets and a strong quantitative and technical background. An equivalent combination of experience and training may be considered. Experience in artificial intelligence and machine learning, with particular emphasis on computer vision, deep learning, object detection, image classification, image segmentation, video analytics and model training and validation, is required. Experience preparing and managing large datasets, data annotation, data augmentation, transfer learning, model optimization and performance evaluation would be considered assets. Proficiency in Python and experience with machine learning frameworks such as PyTorch, TensorFlow or similar tools, as well as experience using GPU-enabled or high-performance computing environments, are preferred. Knowledge of relational databases and SQL; scripting languages such as Python, R or Matlab; data infrastructure and data-sharing technologies; and best practices for quality assurance and quality control of scientific and oceanographic data are assets. Experience with fisheries science, marine biology, fish taxonomy, underwater imaging, GIS, data engineering, autonomous systems or other marine and environmental datasets would also be considered an asset. An understanding of FAIR data principles, excellent organization and communication skills, and the ability to work effectively both independently and as part of a multidisciplinary team are required.
SALARY: $66,626 to $86,520 per annum (Research and Technical Personnel V, NAPE Local 7405)
CLOSING DATE: September 8, 2026
COMPETITION No.: MUN03600
All qualified candidates are encouraged to apply; however, preference will be given to applicants who are legally entitled to work in Canada. Memorial University is committed to employment equity and diversity and encourages applications from all qualified candidates, including women; 2SLGBTQIA+ people; persons whose gender identity or gender expression is nonbinary or otherwise not cisgender; Indigenous peoples; racialized people; black persons; and persons with disabilities. Memorial is committed to providing an inclusive learning and work environment.
If there is anything we can do to ensure your full participation during the application process, please contact [email protected] directly and we will work with you to make appropriate arrangements.
The personal information requested in your application is collected under the authority of the Memorial University Act (RSNL 1990 c M-7) for the purpose of identifying and recruiting candidates; assessing applicant qualifications; and maintaining records pertaining to the administration of employment with Memorial University of Newfoundland.
If you are a successful candidate, this information will form part of your permanent employment record and will be used for other activities related to the employment process. This information may be disclosed to government departments and agencies as legally required; and to third party service providers, as necessary to administer programs and activities.
If you have any questions about the collection, use and disclosure of the information on this form, please contact MyHR, Department of Human Resources, at [email protected].
For further information concerning this opportunity, email [email protected], or contact the Human Resources Office, Marine Institute, Room E3306C.
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