NeuroAI PhD Candidate: Auditory Neuroscience & AI

Baandomein; Maastricht; On-site; EUR 38,000 - 57,000; Full time

Benefits offered by this job

12-month contract

8% holiday allowance

8.3% year-end bonus

Home office allowance

Flexible working hours

Pension ABP

Job summary

Maastricht University invites applications for a PhD Candidate in NeuroAI for Auditory Neuroscience. The role bridges human neuroimaging and AI, working within NASCE and the ARCHIE lab to study how the brain transforms sounds using state-of-the-art AI models.

You will acquire and analyse 7 Tesla fMRI data, develop deep learning models, compare brain and network representations, and contribute to open, reproducible research while collaborating across an international team.

Qualifications

• Master’s degree in a quantitative field as listed.
• Experience in neuroimaging or AI/machine learning; willingness to learn the other field.
• Strong programming skills and knowledge of Python.
• Proficient English (C1) required.

Responsibilities

• Acquire and analyse high-field neuroimaging data (7T fMRI) for natural sound perception.
• Develop and apply AI/NeuroAI models to simulate auditory processing.
• Relate AI representations to behavioural and brain data using modelling approaches.
• Contribute to experimental design, data collection, and analysis.
• Present findings at conferences and publish in journals.

Skills

Python

Deep learning

PyTorch

TensorFlow

JAX

fMRI data analysis

Statistical analysis

English proficiency

Education

Master’s degree in cognitive or computational neuroscience, AI, CS, biomedical engineering, cognitive sciences with strong quantitative focus, data science, or related field

Tools

PyTorch

TensorFlow

JAX

Python

fMRI preprocessing

Job description

Maastricht University invites applications for a PhD Candidate in NeuroAI for Auditory Neuroscience. The role bridges human neuroimaging and AI, working within NASCE and the ARCHIE lab to study how the brain transforms sounds using state-of-the-art AI models.

You will acquire and analyse 7 Tesla fMRI data, develop deep learning models, compare brain and network representations, and contribute to open, reproducible research while collaborating across an international team.