ACENET Research Consultant - Research Services - Faculty of Graduate Studies

ACENET Research Consultant
- Research Services
- Faculty of Graduate Studies

Competition Number:

108E26

Position Type:

Staff Position

Closing Date:

Jul 3, 2026

Date of Posting:

Department:

Faculty of Graduate Studies

Position:

ACENET Research Consultant, Research Services

Contract:

Full-Time Term Position

Hours of Work:

37.5 hours per week

$86,815 to $96,250 per annum prorated to term

Term:

ASAP – March 31, 2027 (Term may be reduced or extended depending on performance, available funding, and departmental requirements)

The University of Prince Edward Island and ACENET are seeking a Research Consultant at the UPEI campus in Charlottetown, PEI, to assist academic and industry clients in using and navigating the advanced computing resources (HPC, GPU, Cloud) available through ACENET and the Digital Research Alliance of Canada (Alliance).

ACENET’s central mission is to help researchers get their research done. We do this by providing them with computing resources, and by making those as easy to use as we can. This position will appeal to a motivated self-starter and relationship-builder comfortable in both academic and industry settings, with responsibilities extending throughout Atlantic Canada, and nationally.

This position will appeal to an early-career professional who is curious, motivated, and comfortable working across both academic and industry environments

• Consult with clients, both new and experienced, to provide support and expertise in Digital Research Infrastructures (DRI) including high-performance computing, cloud computing, research software and data management. Topics of consultation could include parallel programming, code optimization, cloud computing, GPU programming, use of job queuing systems, and DRI training needs
• Assist researchers, both new and experienced, in all aspects of using ACENET and Alliance DRIresources, from small problems to big
• Develop and deliver training, workshops, seminars, and information sessions around DRI technologies, approaches, and methodologies
• Maintain relationships with research groups to ensure ACENET is meeting their current needs and is preparing for their future needs
• Ensure client support issues are addressed in a timely manner
• Assist Director Business Development in community engagement, identifying prospective industry and academic clients, exploring, and validating their computing needs, and determining fit and potential solutions
• Evaluate and recommend new technologies, services, and software solutions
• Work with a dispersed technical team to continuously improve ACENET’s service delivery
• Participate in relevant national committees, working groups, and research support activities
• Undertake other duties as required

• As the ideal candidate, you will have a graduate degree in computer science, physics, mathematics, or a related discipline. Consideration will be given to an equivalent combination of education and experience
• Subject matter expertise in a discipline such as computational chemistry or physics, astronomy, artificial intelligence, geosciences, engineering, digital health, molecular dynamics, computer sciences, or data management
• Demonstrated technical proficiency applying digital solutions
• Experience preparing and delivering tutorials, workshops, lectures, or seminars
• Effective organization skills and ability to balance multiple priorities under time pressures
• Insightful, able to dig to uncover client needs, a problem-solver with ability to come up with creative solutions
• Excellent written and verbal English communication skills
• Ability to effectively communicate with users from various backgrounds and skill levels
• The ability to work both independently and as part of a team with minimal supervision
• Experience in an academic research environment

• Artificial Intelligence, Machine Learning, Deep Learning, Tensor Flow
• GPU computing: CUDA, OpenACC, or OpenCL
• Parallel computing and use of high-performance computing environments
• Data analytics and scientific visualization
• Experience in multiple programming languages (such as R, Python, C/C++, Fortran)
• Experience using IaaS cloud offerings such as AWS or GCP
• Fluency in French