PhD Position - Translational Neuroscience
Core
Develop imaging biomarkers and machine learning models to study brain network changes in psychiatric disorders for earlier diagnosis and treatment matching.
Role type
PhD researcher in translational neuroscience and computational psychiatry
Builds
Replication studies, imaging biomarkers, and individual disease trajectory analyses
Domain
Clinical neuroscience, psychiatric disorders, multimodal neuroimaging
Deliverable
production ML models
Required skills
Multimodal neuroimaging data integration, graph-theoretical methods, multivariate statistical modelling, machine learning, longitudinal study coordination, MRI data acquisition management, data curation (BIDS)
Preferred skills
Structural/functional MRI experience, neuroimaging preprocessing, connectomics, MATLAB, Python, SPM, FSL, FreeSurfer, AFNI, MRtrix, CONN
Technologies
MRI, PET, EEG, fNIRS, MATLAB, Python, SPM, FSL, FreeSurfer, AFNI, MRtrix, CONN, BIDS
Responsibilities
Integrate multimodal neuroimaging datasets; Characterize brain networks using graph-theoretical methods; Apply machine learning to multimodal datasets; Investigate individualized imaging biomarkers; Coordinate longitudinal studies involving patients and controls; Manage and curate imaging data
Seniority
PhD candidate, research-focused
