Isabelle Mareschal

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Professor at School of Biological and Behavioural Sciences

Queen Mary University of London
Country flagUnited Kingdom

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Recent Grants

Grant: Close

Understanding individual differences in facial emotion perception and their association with psychiatric risk indicators

Open Date: 2019-07-01

Close Date: 2023-01-01

Grant: Close

Understanding individual differences in facial emotion perception and their association with psychiatric risk indicators

Open Date: 2019-06-30

Close Date: 2022-12-31

Grant: Close

Effects of early childhood trauma on the development of healthy interpersonal skills

Open Date: 2019-03-01

Close Date: 2020-03-01

Grant: Close

Temporal characteristics of gaze perception

Open Date: 2013-10-01

Close Date: 2016-10-01

Positions (1)

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Alexander Mielke

University Name
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Queen Mary University of London

This PhD project at Queen Mary University of London, supervised by Dr Alexander Mielke and Professor Isabelle Mareschal, investigates the syntax of facial communication using a combination of psychological, linguistic, machine vision, and statistical approaches. Unlike speech and gestures, which can be segmented into clear units and studied for syntactical rules, facial communication is complex due to the rapid and independent movement of different facial parts. The project aims to develop statistical methods to segment complex facial muscle movement patterns into discrete units, analyze sequences of naturally occurring facial signals, and explore how the combination of facial signals in time influences social interactions. The research is highly relevant for advancing human-machine communication and the automatic categorization of facial signals. The successful candidate will join the Mielke Lab, which focuses on understanding communication and cooperation in humans and non-human primates through observational studies and innovative data analysis methods. Training will include observational data collection, video coding, computational and statistical modelling, programming in R and Python, and academic writing, with a strong emphasis on open science practices. The position is part of a joint scholarship programme between Queen Mary and the China Scholarship Council (CSC), offering full tuition coverage and living expenses for eligible Chinese applicants. Applicants must hold or expect to receive a first or upper-second class honours degree and a Master’s degree in a relevant field, meet English language requirements, and submit all required documentation by the deadline. The application process includes a formal online submission, identification as a CSC Scholar, and an interview for shortlisted candidates. The project provides an excellent opportunity to develop interdisciplinary skills in psychology, linguistics, data science, and machine vision within a supportive research environment.

9 months ago

Articles (4)

Year:

2023

Year:

2022

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2020

Year:

2020

Collaborators (4)

Aman B. Saleem

University College London

UNITED KINGDOM
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Kristin Hadfield

Assistant professor

Trinity College Dublin

IRELAND
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David White

-

AUSTRALIA
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Christina Carlisi

Associate Professor

University College London

UNITED KINGDOM
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