Details
1091961
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 roles will be an integral part of the project team, working closely with 10 staff members and 3 student members to support research, data analysis, and collaboration efforts.
Duties and responsibilities
Each 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
- Begins around Easter 2025.
Duties
- Work with the project team to develop data analysis pipelines using OpenAI APIs and open-source Hugging Face LLM packages.
- Conduct data analysis through retrieval-augmented generation on open literature, and perform in-house LLM data mining on Warwick’s education policy.
- Present the data analysis pipeline and results 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.
GenAI Coding Internship
- Programming Skills: Strong command of the Python programming language.
- Operating Systems: Basic understanding of the Linux environment.
- Desirable Knowledge: Familiarity with OpenAI APIs, Hugging Face packages, and Warwick’s HPC systems is a plus, but not essential.
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
- 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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