Overview
University of Sheffield. We have an exciting opportunity for a motivated and enthusiastic individual interested in biodiversity, evolution, neuroscience and machine learning to join the Leverhulme Trust funded research project ‘Perceptual bias and the evolution of organismal communication signals’ as a Research Associate.
The project will make use of recent advances in computational neuroscience, machine learning and image analysis to investigate questions linking animal visual signal diversity to biases in visual perception.
You will lead the investigation of research questions probing these links and be responsible for important aspects of project execution including data collection, analysis and interpretation, and manuscript preparation. This is an excellent opportunity to work on a project at the intersection of biological and computer science research domains.
Responsibilities
* Lead the investigation of research questions probing the links between animal visual signal diversity and biases in visual perception.
* Execute project tasks including data collection, analysis and interpretation.
* Prepare manuscripts for publication.
Qualifications
* Applicants must hold a PhD (or equivalent experience) in a relevant subject area along with an interest in biodiversity, evolution, neuroscience and/or machine learning.
* Strong analytical and quantitative skillset and experience of programming languages (e.g. R, Python) are essential.
Supervision and Team
This post will be supervised by Dr Christopher Cooney and will involve working closely with other project team members. The research group is embedded within the world-class Ecology and Evolutionary Biology Research Cluster, part of the School of Biosciences at the University of Sheffield.
Diversity Statement
We build teams of people from different heritages and lifestyles from across the world, whose talent and contributions complement each other to greatest effect. We believe diversity in all its forms delivers greater impact through research, teaching and student experience.
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