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Maynooth University Doctoral Scholarship: Explore Decision-Making with the Hamilton Institute

Maynooth University Doctoral Scholarship: Explore Decision-Making with the Hamilton Institute

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Maynooth University Doctoral Scholarship: A Deep Dive into the Hamilton Institute Opportunity

The Hamilton Institute at Maynooth University is offering a fully funded doctoral scholarship for 2026, focusing on exciting research at the intersection of cognitive neuroscience, artificial intelligence, and computational modeling. This scholarship provides a unique opportunity for highly motivated students to contribute to groundbreaking work in understanding how the human brain makes decisions. If you have a strong background in a related field and a passion for scientific inquiry, this program could be your next step.

Scholarship Overview and Research Focus

This doctoral scholarship is a four-year, fully funded program that begins in September or October 2026. It is based at the Hamilton Institute and will be supervised by Dr. Peter Murphy from the Department of Psychology. The core of the research project is to investigate the neurocomputational basis for making decisions that are abstracted from immediate sensory input or motor actions. This means exploring how the brain can form abstract thoughts and choices without directly relying on what we see, hear, or what we are about to do. The project aims to combine knowledge from cognitive neuroscience, psychology, artificial intelligence, and computational modeling to achieve its goals.

Benefits of the Scholarship Program

The Maynooth University Doctoral Scholarship offers significant advantages for aspiring researchers. It provides a generous annual student stipend of €25,000, covering living expenses for the four years of study. Importantly, it also includes full tuition fee support, removing a major financial barrier to pursuing a PhD. Beyond financial support, the scholarship offers extensive research training through Maynooth University’s Graduate Research Academy. Scholars will gain valuable experience in presenting their findings at local, national, and international conferences, and will receive support in preparing their work for publication in peer-reviewed journals. This comprehensive package ensures students develop advanced skills in computational modeling, empirical research, and scientific communication.

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The Research Project: Unpacking Decision-Making

The research project at the heart of this scholarship is designed to understand the brain signals involved in accumulating information over time to make decisions. This process is crucial for humans to make choices that are not tied to immediate sensory experiences or physical actions. The PhD research will explore this complex area through three main avenues. First, it will involve using trained neural networks to identify the conditions under which abstract information accumulation can emerge. Second, the project will look into biologically constrained network modeling to explore how these processes might be implemented in the brain, using computational models that are informed by biological understanding. Finally, the research will involve empirical testing in humans, using behavioral data and electroencephalography (EEG) measurements to validate the predictions made by the computational models.

Responsibilities of the PhD Student

As a doctoral student in this program, you will be actively involved in cutting-edge research. Your responsibilities will include conducting computational research using neural network models, which requires a strong understanding of programming and data analysis. You will also be involved in designing and analyzing EEG studies and behavioral experiments, which are key methods in cognitive neuroscience. Managing and analyzing research data according to FAIR principles (Findable, Accessible, Interoperable, Reusable) will be an important part of the role. Presenting your findings at conferences and local meetings is expected, as is preparing draft publications for peer-reviewed journals. The program also requires undertaking relevant training and engaging with research development programs to further your skills. You will be expected to work both independently and collaboratively under the guidance of your supervisor.

Mode of Study and Location

This scholarship requires full-time residency at Maynooth University in Ireland for the duration of the four-year program. The research will primarily take place on the Maynooth University campus. Any research conducted outside of the campus will require permission from both your supervisor and the Head of Department. The program operates under the terms of the Maynooth University Doctoral Scholarship and the regulations of the Research Student Programme, ensuring a structured and supportive academic environment.

Eligibility Criteria for Applicants

To be considered for this doctoral scholarship, applicants must meet specific academic and experience requirements. Essential criteria include holding a first-class or upper second-class (2.1 honours) undergraduate degree in a relevant field such as Neuroscience, Cognitive Science, Computer Science, Psychology, or a related discipline. You should also have independent research experience, particularly with deep learning, neural networks, behavioral data, or EEG studies. Proficiency in quantitative analysis is a must, along with excellent written and oral communication skills in English. Desirable qualifications include a Master’s degree in a relevant field with a substantial research component, strong computational skills in languages like Python or MATLAB, and familiarity with neural network platforms such as TensorFlow or PyTorch. Experience with GPU or cluster-based computing, as well as human psychophysics and scalp EEG studies, would also be advantageous.

Application Process and Deadline

Prospective candidates must submit a complete application package via email. This includes a personal statement, no more than 600 words, that clearly outlines your motivation for applying and your relevant experience. A Curriculum Vitae (CV) is also required, detailing your education, research experience, quantitative and computational skills, and any publications. You must also provide relevant academic transcripts and the names and contact details of two academic referees who can speak to your abilities. All application materials should be emailed to Dr. Peter Murphy at [email protected]. The subject line of your email must be exactly: Doctoral Scholarship - Hamilton Institute/Psychology 2026. The deadline for applications is 5 pm on July 1, 2026. Please note that non-native English speakers will need to provide proof of English proficiency. Shortlisted candidates will be contacted for an interview.

Frequently Asked Questions

What is the main research focus of this scholarship?

The scholarship focuses on understanding how the brain makes abstract decisions, combining cognitive neuroscience, AI, and computational modeling.

What are the financial benefits of this scholarship?

It offers a €25,000 annual student stipend for four years and covers full tuition fees.

What qualifications are required to apply?

You need a first-class or 2.1 honours degree in a relevant field, research experience, and strong quantitative and communication skills.

How do I apply for this doctoral scholarship?

Submit a personal statement, CV, transcripts, and referee details via email to [email protected] by July 1, 2026, with the specific subject line.

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