Job Postings
- Graduate Assistant – Quantitative Data Analysis
- Graduate Assistant – Generative AI
- Work Study – DSC Assistant (2 positions)
Graduate Assistant: Quantitative Data Analysis
Position Description
The Quantitative Data Analysis Graduate Assistant (GA) will report to the Digital Scholarship Commons Manager and will work with a team of staff, librarians, developers, and graduate assistants to provide support for student learning and digital exploration.
Candidate Profile:
The successful candidate will provide technical support for undergraduate and graduate students from all disciplines focusing on applications related to data analysis, data visualization, and related programming languages. Tasks include, but are not limited to:
- Offering one-on-one support for students who are working with applications including but not limited to RStudio, Excel, Tableau, Python, and similar tools/languages.
- Delivering workshops and creating new activities on tools and concepts related to data analysis and visualization.
- Creating instructional documentation.
- Promote data analysis, data visualization and research consultation services to the graduate student society as well as potentially interested faculties and departments.
The ideal candidate for this position will:
- Be currently enrolled in a Master’s or Doctoral Program at the University of Victoria.
- Have significant experience with R, RStudio, Tableau, MS Excel, and at least some experience with Python, and related data analysis and visualization tools.
- Be knowledgeable about statistical concepts and techniques.
- Be interested in helping others to develop their technical skills.
- Have some previous experience tutoring, training, or teaching.
- Be able to work both collaboratively and independently.
- Have strong written and verbal communication skills in English.
Duration:
The position is available for up to 10/hrs per week, starting as early as September 2024 and ending no later than before the December holiday break, with the possibility for renewal in the following semester. Hours can be flexible to accommodate your class schedule.
Salary: $31.80 per hour plus 4% in lieu of vacation days
Application Instructions:
Please submit a resume & cover letter explaining your experience and interests, and C.V. to Rich McCue by September 6, 2024, at 4:30 p.m. to:
Rich McCue
University of Victoria Libraries
Email: rmccue@uvic.ca
Web: lib.uvic.ca/dsc
Please note that while we appreciate all applications received, only those selected for an interview will be contacted.
Graduate Assistant: Generative AI
Position Description
The Generative AI Graduate Assistant (GA) will report to the Digital Scholarship Commons Manager and will work with a team of staff, librarians, developers, and graduate assistants to provide support for student learning and digital exploration.
Candidate Profile:
The successful candidate will provide technical support for undergraduate and graduate students from all disciplines focusing on tools and applications related to Generative AI for academic purposes. Tasks include, but are not limited to:
- Offering one-on-one support for students who are working with Generative AI applications including but not limited to ChatGPT, Copilot, Gemini, Meta AI, Perplexity.ai, GPT4All, and LM Studio. This will include assisting with Python scripts to interact with cloud-based and locally running Large Language Model (LLM) APIs.
- Delivering workshops and creating new activities for tools, techniques, and concepts related to Generative AI and research.
- Creating instructional documentation.
- Promoting Generative AI research consultation services to the graduate student society as well as potentially interested faculties and departments.
The ideal candidate for this position will:
- Be currently enrolled in a Master’s or Doctoral Program at the University of Victoria.
- Have significant experience with the major large language models, including experience using Python to interact with their APIs.
- Be interested in helping non-technical students and researchers to develop their skills to effectively use Generative AI tools to assist them in their research projects.
- Have some previous experience tutoring, training, or teaching.
- Be able to work both collaboratively and independently.
- Have strong written and verbal communication skills in English.
Duration:
The position is available for up to 10/hrs per week, starting as early as September 2024 and ending no later than before the December holiday break, with the possibility for renewal in the following semester. Hours can be flexible to accommodate your class schedule.
Salary: $31.80 per hour plus 4% in lieu of vacation days
Application Instructions:
Please submit a cover letter explaining your experience and interests, and C.V. to Rich McCue by September 6, 2024, at 4:30 p.m. to:
Rich McCue
University of Victoria Libraries
Email: rmccue@uvic.ca
Web: lib.uvic.ca/dsc
Please note that while we appreciate all applications received, only those selected for an interview will be contacted.
Work Study – DSC Assistant (2 positions)
Position Description
Responsibilities include answering questions about DSC workshop schedules, directional questions, events, basic 3D procedures (printing and pickup), and other DSC resources. This student will be able to participate in helping run asynchronous and online synchronous workshops by letting attendees in and monitoring the chats. For more information about the DSC, please see the DSC website: https://lib.uvic.ca/dsc
Qualifications:
- strong customer service skills a must
- be interested in helping others to develop their technical skills
- have some experience with 3D design, 3D printing, or modelling
- have some experience with iMovie or other video editing software
Work Study Wage:
$18.50 per hour plus 4% in lieu of vacation days
Application Instructions:
Please submit a cover letter explaining your experience and interests to:
Digital Scholarship Commons
University of Victoria Libraries
Email: dscommons@uvic.ca
Web: lib.uvic.ca/dsc
Please note that while we appreciate all applications received, only those selected for an interview will be contacted.