Details
1091963
University of Warwick
24/02/2025
Other - See Job
Flexible to accommodate students’ teaching and exam timetables.
Not Applicable
Pay
£13.72
£1.66
Description
Role
The newly launched Warwick Education Fund Project, “Identifying Barriers and Use Cases for Generative AI in Education Using Retrieval-Augmented Generation and Staff Surveys,” is seeking a student project intern. The role will be an integral part of the project team, working closely with 10 staff members and 3 other student members to support research, data analysis, and collaboration efforts.
Duties and responsibilities
The intern will work approximately 160 hours between February and July 2025 on a flexible schedule. This is equivalent to 4 weeks of full-time work (40 hours/week).
Start Dates
- As soon as possible to ensure timely questionnaire design and ethical approval.
Duties
- Collaborate with the project team to design a questionnaire that identifies barriers to using Generative AI in education across the University.
- Analyse survey results using tools such as Excel and SPSS.
- Present questionnaire designs and findings in both oral and written formats, at informal meetings and formal conferences.
Skills and experience
It is essential that you demonstrate a keen interest in Generative AI technologies and their potential impact on teaching, learning, academic support, and education policy. In addition, strong oral and written communication skills are essential, as you will be expected to present findings clearly and effectively in various formats. Collaborating with colleagues and stakeholders across different levels of the University will require flexibility, interpersonal skills, and a willingness to learn and adapt.
- Qualitative Research: Solid understanding of qualitative research methods, particularly questionnaire design and analysis.
- Data Analysis Tools: Proficiency with analytical and visualization tools such as Excel and/or SPSS.
- Survey Software: Familiarity with Qualtrics software, or willingness to learn.
Location
UK - This role is hybrid. While the majority of your work can be completed remotely, face-to-face meetings will be required on an as-needed basis.
Additional information
Start and end date: ASAP until 31 July 25
Deadline to apply: Monday 03 February 25
Please provide a CV and cover letter with your application.
Please note upon applying for this role you are consenting to your contact details being shared directly with the hiring manager.
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