Design
Collaborate to shape your research question and method.
Join us
Join the IDeA Lab
We supervise honours, coursework masters, and PhD students on hands-on, data-driven research into face recognition, memory, identity decisions, forensic science, and AI. No prior research skills are required — just enthusiasm.
Weekly supervision · Training provided · Real-world impact
Experimental focus
Hands-on, data-driven research
Every project is built around a real study — you'll be working with genuine data and stimuli from day one, not a simulated exercise.
- Projects are hands-on and data-driven
- Conducted in-person or online, depending on the study
- Use of realistic stimuli (e.g., face databases, forensic materials, video games)
- Can use eyetracking, either in the lab or with wearable eyetracking glasses
- Can follow up on past student or published research
What to expect
Experience all stages of experimental research
Data collection
Run experiments with participants.
Analysis
Learn to use tools like JAMOVI, R, and/or GraphPad — training provided.
Interpretation
Connect findings to theory and real-world applications.
Student experience
Support along the way
You'll have regular contact with your supervisor throughout the project, and you don't need any prior research skills to get started.
- Weekly supervision meetings
- No prior skills required — just enthusiasm
Research themes
Research themes & current and past projects
Face & person recognition
How do we identify and remember faces?
Current and past projects:
- Super-recognisers: who are they and how do they work?
- "Where do I know you from?" — familiarity and face memory
- Detecting AI-generated faces
Memory & critical incidents
What factors affect eyewitness memory?
Current and past projects:
- Memory recall after critical incidents (e.g., video game simulations)
- Memory contamination on repeated event recall
Forensic science
Improving fairness and reliability in criminal investigations
Current and past projects:
- Fingerprint comparison skills
Next step
Ready to get started?
Send a short email with your background, research interests, current program, and the type of opportunity you're looking for.