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School of Biological and Chemical Sciences

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Processing of natural images

Background

My laboratory uses conventional psychophysical and computational methods to examine human vision.

This project will focus on how we perceive the world around us (“natural images”) and how our perception can be altered by context. Contextual effects studied can be within a same modality - for example, how our perception of a person depends on the people around them - or between modalities - does our perception of a person change based on incoming auditory information?

I am particularly interested in combining conventional behavioural methods with eye tracking and EEG recording. There is flexibility to alter the direction of the project, depending on the candidates’ interests. Ongoing collaborations with computer science can also be exploited, particularly with Dr Pearce, School of Electronic Engineering and Computer Science, Queen Mary, to examine cross-modal integration between vision and music.

I am thus seeking a highly motivated candidate with a strong interest in psychology and computer science.

Training

You will receive training in areas including:

  • Psychophysics – learning how to measure people’s performance on visual tasks
  • Experimental design – to conduct and design novel experimental approaches
  • Computational modelling
  • Writing and conference presentations – to present your data in high impact journals and at international conferences.

Eligibility

In order to qualify for funding from Ciência sem Fronteiras, applicants must be Brazilian nationals and are required to have at least an upper second class degree and a masters degree in a related discipline (e.g. psychology, computer science) from a top university anywhere in the world. For more information visit the Ciência sem Fronteiras eligibility pages.

International students must provide evidence of proficient English language skills, see our entry requirements page for further information.

Some experience with Matlab (or other programming languages) is essential

Applying

  • Applicants should consult the project supervisor Dr Mareschal by e-mail (i.mareschal@qmul.ac.uk) before submitting an application in order to discuss their experience, background and proposed topic.
  • Potential candidates should submit their CV (including details of two referees) and a cover letter explaining their eligibility and interest in this project to Dr Mareschal.
  • Applications to Queen Mary and Ciência sem Fronteiras are accepted all year round but we encourage you to contact Dr Mareschal as soon as possible.
  • If you are successful we will give you an offer on the condition that you are given a funding award from Ciência sem Fronteiras. When you have received a conditional offer, apply directly to Ciência sem Fronteiras.

Self-funding

If you are interested in self-funding please contact Dr Mareschal by e-mail (i.mareschal@qmul.ac.uk) to discuss your eligibility for this project.

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