This is an exciting opportunity for two interns to join the Centre for Academic Development (CAD). These two research internships will support the research project exploring the attitudes and perceptions of diverse Higher Education (HE) stakeholders (Students, Academic Staff, Professional Services Staff) towards the integration of Generative Artificial Intelligence (GenAI) tools in Education.
The Centre for Academic Development is looking for interns that are passionate about the student learning experience and have an interest in carrying out research to explore the attitudes and perceptions of generative artificial intelligence (GenAI) tools in education. Candidates should have good interpersonal skills, an ability to work in a sensitive area, and convey a nonjudgemental and supportive approach to understanding people’s experiences with GenAI. They should have an awareness of how to manage data in a confidential and professional manner, good analytical and research skills, as well as excellent written and oral communication skills.
Applicants must be a registered student at the University of Aberdeen. This post is fixed-term from 29 February 2024 to 30 June 2024. Salary will be at the appropriate point on Grade 2, at £11.35 per hour.
This post does not meet the minimum requirements for visa sponsorship under the Skilled Worker Route. We are therefore unable to consider applicants for this post that require sponsorship to work in the UK.
Applications should include a curriculum vitae (no more than two sides of A4) with an accompanying covering letter (no more than one side of A4), outlining your reasons for making an application. We would strongly recommend that you make use of the University’s Careers and Employability Service to support you in your application.
The closing date for the receipt of applications is 18 February 2024 and the interview date will be the 23 February 2024. The Centre for Academic Development embraces a diverse working environment and recognises the many benefits this can bring. Applications from individuals from across all of the equality protected characteristics are encouraged.