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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Computer science - **Company:** Institute Maastricht University Country Netherlands - **Location:** Maastricht, Netherlands (Remote available) - **Salary:** €3,204.0 - €4,051.0 - **Contract:** Temporary to permanent - **Skills:** Artificial Intelligence, Data Analysis, Artificial Neural Networks, Computer Programming, Data Transformation, Python (Programming Language), Machine Learning, Tensorflow, Data Processing, Pytorch, Deep Learning, Information Technology - **Published:** September 1, 2026 - **Apply:** https://www.careerjet.nl/job/nl201133683b2c4d29848565cc1dff21e7/eaa ## About the Role * You hold a Master's degree in cognitive or computational neuroscience, artificial intelligence, computer science, biomedical engineering, cogntitve sciences with a strong quantitative focus, data science, or a related field. * You have relevant experience in at least one of the two core areas: human neuroimaging or AI/machine learning/NeuroAI. For candidates with a neuroimaging background, this may include experience with data acquisition, preprocessing, and/or analysis; experience with fMRI is preferred, but candidates with experience in other neuroimaging techniques are also encouraged to apply. For candidates with an AI background, we expect practical experience in implementing, training, and evaluating machine-learning or deep-learning models. You are not expected to already be an expert in both areas, * You are genuinely motivated to develop expertise in the complementary field: If your background is in neuroimaging, you are willing to develop your expertise in AI and deep learning. If your background is in AI, you are eager to develop your knowledge of cognitive neuroscience, experimental design, and fMRI analysis. * You have a strong quantitative background, including a solid understanding of statistics and data analysis; prior experience with multivariate or computational modelling methods is an advantage. You have good programming skills, preferably in Python, and are able to independently write and adapt code for data processing, analysis, and visualization. Experience with deep learning and frameworks such as PyTorch, TensorFlow, or JAX is an advantage. * You have strong English language skills, with proficiency at a minimum of C1 level (CEFR). ## Description Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Welcome to Maastricht University! How does the human brain transform complex natural sounds into meaningful percepts, and can artificial neural networks help us understand this process? Join the NASCE project and combine advanced neuroimaging with AI to investigate the computational principles of real-world hearing. PhD Candidate in NeuroAI for Auditory Neuroscience * Our goal: Understand how the human brain recognizes and interprets complex natural auditory scenes and to uncover computational principles shared by biological and artificial systems. The PhD project is part of (Natural Auditory SCEnes in Humans and Machines), an ERC Synergy project conducted in collaboration with Dr. Bruno Giordano (CNRS, Marseille). NASCE brings together cognitive neuroscience, advanced neuroimaging, behavioural research, and artificial intelligence to investigate natural sound perception in humans and machines. * Your colleagues: You will join the , an interdisciplinary and international research team led by Prof. Elia Formisano at the Faculty of Psychology and Neuroscience, Maastricht University. You will work closely with researchers with complementary expertise in auditory neuroscience, neuroimaging, and AI/NeuroAI. In this role you will bridge human neuroimaging and computational modelling. You will collect and analyse neuroimaging data (7 Tesla fMRI) acquired during natural sound perception and use state-of-the-art AI models to investigate how the human brain transforms acoustic information into meaningful representations. By comparing representations in the brain and artificial neural networks, you will contribute to a better understanding of the computational principles underlying auditory intelligence in humans and machines. What you do As a PhD candidate, you will: * Acquire and analyse human neuroimaging data, with a primary focus on high-field fMRI of natural sound perception. * Develop and apply AI/NeuroAI models, including deep neural networks, to model auditory processing. * Relate representations learned by AI models to behavioural and brain data using multivariate and representational modelling approaches. * Contribute to the design and execution of neuroimaging and behavioural experiments. * Develop your expertise across neuroscience and AI, with intensive training in the field that is less familiar to you at the start of the PhD, while collaborating with researchers across the interdisciplinary NASCE consortium. * Present your findings at international conferences and publish them in peer-reviewed journals. * Contribute to open and reproducible research through well-documented analysis pipelines, models and data products. * Contribute up to 0.1 FTE to teaching or supervision at Maastricht University. Are you excited to work at the interface of neuroscience and artificial intelligence while developing expertise across both fields? Then we'd love to meet you. What you bring We're not looking for checkboxes; we're interested in who you are and what you bring. Do you recognize yourself in this? We are looking for a curious and analytically minded researcher who is driven to deepen our understanding of both biological and artificial intelligence. You are comfortable working independently, while also valuing collaboration and contributing actively within an interdisciplinary and international team. With a proactive and growth-oriented mindset, you are motivated to continuously develop new skills, expand your expertise, and explore new areas of knowledge. 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