Applications are now open for the Maynooth University Faculty of Science and Engineering Doctoral Scholarship 2026 at the Hamilton Institute. This fully funded doctoral scholarship is designed for highly qualified candidates interested in cognitive computational neuroscience, decision-making, neural network modelling, and human brain research.
The scholarship offers the chance to work under expert supervision in a world-class research environment and develop advanced skills in computational modelling, empirical research, and scientific publication.
Scholarship Overview
The Maynooth University Faculty of Science and Engineering Doctoral Scholarship is a four-year, fully funded program commencing in September or October 2026. It is attached to the Hamilton Institute and supervised by Dr Peter Murphy from the Department of Psychology.
Project Title: Identifying the Neurocomputational Basis for Making Decisions Abstracted from Sensation and Action
The scholarship supports a PhD candidate to investigate how the human brain forms abstract decisions independent of specific sensory input or motor actions. This work combines cognitive neuroscience, psychology, artificial intelligence, and computational modelling.
Benefits of the Scholarship
The Maynooth University Doctoral Scholarship provides:
- Annual student stipend of €25,000
- Full tuition fee support for four years
- Research training through Maynooth University’s Graduate Research Academy
- Opportunities to present research at local, national, and international conferences
- Support in preparing peer-reviewed journal publications
- Hands-on experience in neural network modelling, EEG studies, and computational neuroscience
About the Research Project
The project focuses on understanding the brain signal that reflects supramodal accumulation of information over time. This process allows humans to make decisions abstracted from immediate sensory or motor cues.
The PhD research will follow three major directions:
- Trained Neural Networks – Identify conditions under which abstract information accumulation emerges.
- Biologically Constrained Network Modelling – Investigate plausible neural implementations through computational models informed by biology.
- Empirical Testing in Humans – Validate model predictions using behavioural and EEG measurements of abstract decision signals.
Responsibilities of the PhD Student
The successful candidate will:
- Conduct computational research using neural network models
- Design and analyse EEG studies and behavioural experiments
- Collect, manage, and analyse research data according to FAIR principles
- Present findings at conferences and local meetings
- Prepare draft publications for peer-reviewed journals
- Undertake relevant training and engage with research development programs
- Work independently and collaboratively under supervision
Mode of Study
- Full-time residency at Maynooth University in Ireland for four years
- Research primarily based at Maynooth University campus
- Research outside campus requires supervisor and Head of Department permission
- Subject to Maynooth University Doctoral Scholarship terms and Research Student Programme regulations
Eligibility Criteria
Essential Requirements:
- First class or upper second class 2.1 honours undergraduate degree in Neuroscience, Cognitive Science, Computer Science, Psychology, or related discipline
- Independent research experience with deep learning, neural networks, behavioural data, or EEG studies
- Proficiency in quantitative analysis
- Excellent written and oral communication in English
Desirable Qualifications:
- Master’s degree in a relevant field with a significant research component
- Computational skills (Python, MATLAB)
- Familiarity with neural network platforms (TensorFlow, PyTorch)
- Experience with GPU or cluster-based computing
- Experience with human psychophysics and scalp EEG studies
Application Process
Applicants must submit:
- Personal statement (max 600 words) highlighting motivation and experience
- Curriculum Vitae including education, research experience, quantitative and computational skills, publications
- Relevant academic transcripts
- Names and contact details of two academic referees
Submission: Email applications to Dr Peter Murphy at Peter.Murphy@mu.ie with the subject line:Doctoral Scholarship – Hamilton Institute/Psychology 2026
Deadline: 5pm on 1 July 2026
Note: Non-native English speakers must provide proof of English proficiency. Shortlisted candidates will be contacted for an interview.
Discover more Global Scholarship Opportunities on OFY here.
