ACENET Research Consultant - Research Services - Office of the Vice-President Academic And Research

Competition Number:
178E24
Position Type:
Staff Position
Closing Date:
Date of Posting:
Department:
Research Services - Office of the Vice-President Academic And Research
Position:
ACENET Research Consultant
Contract:
Full-Time Term Position
Hours of Work:
37.5 hours per week 
Salary:

$81,829 to $90,723 per annum, prorated to time and term

Term:

As soon as possible to October 31, 2026 (Term may be reduced or extended depending on performance, available funding, and departmental requirements)

The 69传媒 and ACENET are seeking a Research Consultant at the 69传媒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鈥檚 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.

Learn more about working with ACENET at 

RESPONSIBILITIES:

  • 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 DRI resources, 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鈥檚 service delivery. 
  • Participate in relevant national committees, working groups, and research support activities
  • Undertake other duties as required.

QUALIFICATIONS:

  • A Master's degree or higher in a STEM discipline and computational research experience with significant programming skills. 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.
  • Demonstrated technical proficiency applying digital 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.

We try to ensure our team members have complementary skill sets that address most of the disciplinary areas of our clients. As such, skills or experience in any of the following will be considered an asset:

  • Artificial Intelligence, Machine Learning, Deep Learning, TensorFlow
  • 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
Application Instructions:

Please submit electronically a cover letter, quoting the competition number, a resume and reference list to be received no later than the closing date via the link below.

If you are unable to apply online, you can drop off your resume to the Human Resources Department, Kelley Building, 69传媒, 550 University Avenue, Charlottetown, PEI C1A 4P3, Fax Number 902-894-2895.

69传媒is committed to equity, diversity, inclusion, and reconciliation and believes in providing a positive learning and working environment where every person feels empowered to contribute. 69传媒is committed to the principle of equity in employment and encourages applications from underrepresented groups including women, Indigenous peoples, visible minorities, persons with disabilities, persons of any sexual orientation or gender identity, and others with the skills and knowledge to productively engage with diverse communities. If you require accommodation in any part of the process, please direct your inquiries, in confidence, to our HR Officer, hrofficer@upei.ca. Applications will not be accepted via email.

Only those applicants who are invited to an interview will be acknowledged.

Note that this site is not compatible with some mobile browsers (e.g. iPad, iPhone). Upon successful submission of your application, you will receive an auto-reply to your email address advising your application has been received. If you do not receive an email, please check your spam folder and/or try submitting your application via a different web browser (Google Chrome, Firefox, etc).

69传媒encourages all qualified applicants to apply for job openings; however, in keeping with the terms and provisions of the university鈥檚 various employment and collective agreements, first priority will be given to internal candidates.