"Teaching Fellow in Digital Assessment"

About the role:

We’re looking for a Teaching Fellow in Digital Assessment to help deliver Imperial’s cross-faculty project Transforming Digital Assessment: Automation, Security, and Scalability. You will drive evidence-based improvements to summative assessment and feedback, focusing on secure, scalable platforms and responsible use of AI/LLMs to reduce workload while maintaining academic integrity and high standards.

This post does not involve delivering taught modules; instead you’ll shape assessment design, evaluation, and implementation across STEM departments in collaboration with academics, CHERS, the EdTech Lab, ICT and StudentShapers.

What you would be doing:

• Lead platform pilots and adoption: evaluate and support deployment of secure e-assessment tools (e.g. for maths, programming, structured responses) and integrate them with Canvas for seamless delivery at scale.
• Improve assessment design & reduce workload: advise on summative task design that is pedagogically robust and amenable to auto-marking; streamline marking workflows to improve the timeliness and quality of feedback.
• AI-assisted marking (responsible use): benchmark existing tools (including LLM-based systems), apply effective prompt engineering, validate outputs against expert human marking, and document when/where automation is appropriate (low-subjectivity formats).
• Create reusable resources: co-develop high-quality, auto-gradable question banks, rubrics and staff guides; run workshops and provide hands-on support to module teams.
• Evaluate and share impact: design and conduct evaluations with CHERS; analyse outcomes (accuracy, fairness, student experience, integrity); synthesise and disseminate guidance and exemplars College-wide.

What we are looking for:

• Track record in higher education assessment and feedback (design and/or delivery) and digital education in a STEM context.
• Experience implementing or evaluating digital assessment tools and integrating with an LMS (e.g. Canvas).
• Practical familiarity with AI-assisted marking/feedback (using and configuring existing tools; prompt engineering) and a clear understanding of opportunities, limitations and integrity considerations.
• Ability to design evaluations, analyse qualitative/quantitative data, and translate findings into actionable guidance.
• Excellent communication and collaboration skills; comfortable leading workshops and supporting diverse stakeholders.
• A PhD (or equivalent professional experience) in a relevant area (e.g. Educational Technology, STEM education, Computer Science, or a STEM field with substantial education focus).

What we can offer you:

• A pivotal role in a high-profile, cross-faculty project transforming summative assessment and feedback at scale.
• Close collaboration with CHERS, EdTech Lab, ICT and academic colleagues across multiple STEM departments.
• Opportunities to contribute to scholarship and dissemination (internal events and external conferences/publications).
• The opportunity to continue your career at a world-leading institution and be part of our mission to continue science for humanity.
• Grow your career: Gain access to Imperial’s sector-leading dedicated career support for researchers as well as opportunities for promotion and progression.
• Sector-leading salary and remuneration package (including 39 days off a year and generous pension schemes).

Further Information

• Contract type: Full-time, fixed term (project-funded; expected duration c. 24 months).
• Start: As soon as possible, by agreement.
• Right to work/clearances: Appointment is subject to the usual College checks and eligibility to work in the UK.

If you require any further details on the role please contact: Dr Masoud Seifikar – m.seifikar@imperial.ac.uk