Alexander Mielke
11 months ago
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Syntax of Facial Communication: Statistical and Machine Vision Approaches to Segmenting and Understanding Facial Signals Queen Mary University of London in United Kingdom
Degree Level
PhD
Field of study
Computer Science
Funding
Funded PhD Project (Students Worldwide)
Deadline
Expired
Country
United Kingdom
University
Queen Mary University of London
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Keywords
About this position
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.
Funding details
Funded PhD Project (Students Worldwide)
What's required
Applicants must be applying for CSC funding, be a citizen and permanent resident of the People’s Republic of China, and hold a Chinese passport. Candidates should have or expect to receive a first or upper-second class honours degree and a Master’s degree in a relevant area such as Psychology, Linguistics, Data Science, Statistics, or Computer Science. Knowledge of psycholinguistics, coding in R and/or Python, machine vision models, or behavioural coding is advantageous but not required. Applicants must meet the IELTS requirements for the course and upload evidence before the CSC application deadline, ideally by 1st March 2026. All required documentation, including CV, personal statement, English language evidence, academic transcripts, degree certificates, and references, must be submitted by the application deadline.
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Professors
Dr. at School of Biological and Behavioural Sciences
United Kingdom
Research Interests
Behavioral Neuroscience
Biological Anthropology
Primatology
Animal Behavior
Social Behavior
Professor at School of Biological and Behavioural Sciences
United Kingdom
Research Interests
Psycholinguistics
Artificial Intelligence
Psychology
Child Psychology
Video Compression
Make your next move.
Prepare your application
Review drafts and confirm requirements with the university.