Details
1105294
UCL
01/12/2025
Other - See Job
Part-time; 18 hours per week
Not Applicable
Pay
£20.57
£3.85
Description
Role
AI-technology advances and develops at an increasingly fast pace, thereby asking for innovative methods to teach and train researchers and AI-tool users at a similar pace. Traditional teaching approaches (i.e., fixed curriculum and worked up training materials) may be too slow to adapt to change and risk missing the training needs and alienating experts (who are likely to know more about AI in their niche than the tutors). Additionally, the teaching methods and content need to cover not only the technical and/or practical data science skills, but also the deeper understanding of the potential risks and weaknesses when applying AI methodologies in a research context.
As part of this new project, you will work with stakeholders, including researchers and other data science professionals to identify what AI teaching and skill-development needs they may have. The aim is to scope out existing user profiles, available infrastructures as well as users’ perceived challenges and needs around AI skill development. This scoping exercise will lay the foundation for any future work, where in the first instance we will explore the feasibility and potential design of a new, open-source training platform that will not only meet users’ needs, but will also be dynamic enough to keep up with the fast pace of AI innovations. We will deliver an overview of current user needs, technological requirements and a prototype of an AI training platform, which will be shared with the open-source community.
Duties and responsibilities
The Research Assistant has a crucial role to play in supporting the study leadership team and especially the digital product developer in designing and conducting surveys, interviews, workshops or focus groups to engage with researchers and other stakeholders in the field to identify their AI/Data Science training needs. You will analyse the data and information to develop and understand user journeys, different user profiles and to create a final report that outlines the key design, content and tech requirements of a new training platform that aims to teach AI Data Science skills to researchers and academics. You will get unique insights into state-of-the-art data science, UX-design and technology and teaching innovation.
You will be involved in:
- Digital product development and design: support the PI and product developer by engaging with stakeholders and users to identify and map out user journeys, profiles to inform the development and design of a new AI Data Science teaching platform.
- User research: design and conduct user interviews, surveys and workshops with key users to identify user needs.
- Literature search: conduct a literature search to scope innovative teaching methods that could be applied.
- Project management: Help coordinate tasks to support the delivery of the project.
- Communication and outreach: Support outreach and dissemination activities online (e.g. webinars, workshops).
You will need excellent IT, project-management, communication and interpersonal skills as well as experience in collecting and analysing user data to inform design decisions. You will be expected to work closely with the study investigators. You will be a key player in the long-term success of this exciting project, and the role will provide ample opportunity for career and skill development in and outside of academia. You will work across disciplines, drive technology and innovation, and will be invited to contribute to a variety of outputs including blogpost, visual materials as well as papers and reports spanning across different disciplines, including social sciences, human computer interaction, AI and data science
Skills and experience
Qualifications, experience and knowledge
- MSc qualification or equivalent professional experience (≥4 years) in a relevant discipline such as psychology, social sciences, digital product development/design, human-computer interaction, computer sciences.
- Knowledge and application of quantitative and qualitative methods appropriate to inform product development and develop user profiles/journeys.
- Experience of engaging with stakeholders and organising stakeholder activities (e.g. interviews, surveys, workshops)
- Experience with either teaching/data science - desirable
- Experience with project management - desirable
Skills and abilities
- Excellent written and verbal communication, including documenting work and communicating technical and/ or scientific information to a wide range of audiences
- Excellent IT skills including those required for qualitative/quantitative research methods
- Strong understanding of developing surveys and/or interview questions
- Experience with the development of user journeys and creating visuals of wireframes or prototypes - desirable
Personal attributes
- Excellent attention to detail and commitment to scholarship
- Ability to work independently and meet deadlines
- Ability to work constructively and effectively in a team
Location
UCL; hybrid working (part from the office and part from home)
Additional information
This job will close for applications at 11.59pm on Sunday November 23rd. Interviews will be held shortly after.
*Please note to be eligible to work within this role, you must have the right to work in the UK, be physically based in the UK and be able to travel to our London based office for a RTW check (if required).
*If you have a full-time contract of employment with UCL, you are not able to work through UCL Unitemps at the same time.
Unitemps reserves the right to close this advert for applications prior to the date specified above, if a high volume of suitable applications are received so pleased don't delay applying.
Unitemps payroll is monthly, one month in arrears, please see the payroll dates here.
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