diffusion MRI PhD positions, programs, scholarships and fellowships

This PhD project at the University of Leicester aims to develop and apply machine learning techniques to diffusion MRI data for detecting subtle myocardial microstructural alterations in individuals with type 2 diabetes and early heart failure with preserved ejection fraction (HFpEF). The student will optimise acquisition and post‑processing pipelines to quantify biomarkers such as mean diffusivity, fractional anisotropy, helix angle and secondary eigenvector angle, contributing to early risk stratification and personalised management of cardiometabolic patients.

A postdoctoral position in the Brain Tumor Imaging Lab at UCLA focusing on neuroimaging biomarker development for Huntington's disease and brain tumors. The position involves advanced MRI techniques, data analysis, and collaborative research across multiple centers with Dr. Jingwen Yao.

This fully funded PhD position at the Spinal Cord Injury Center, Balgrist University Hospital, University of Zurich, focuses on advancing spinal cord functional MRI (fMRI) to map neuronal function after injury. The candidate will develop and apply 3T fMRI protocols with peripheral nerve stimulation, analyze multimodal MRI data, and collaborate with clinicians and engineers using state-of-the-art 3T and 7T scanners.

A FORTE-funded postdoctoral scholarship at Karolinska Institutet focusing on sex differences in social health, cognition, and resilience. The role involves leading independent studies using multimodal longitudinal data (UK Biobank, Swedish cohorts), applying advanced statistical models, and contributing to publications and collaborations within a multidisciplinary geriatrics research team.

This 3-year PhD Studentship at the UCL Great Ormond Street Institute of Child Health investigates paediatric clinical neuroscience, focusing on identifying acute and chronic biomarkers—such as cytokine profiles, EEG and MRI findings—that predict long-term neuropsychological outcomes in children with new-onset refractory status epilepticus (NORSE). The fully funded position offers a stipend of £23,805 per annum plus tuition fees, hybrid work arrangements, and supervision by Dr Marios Kaliakatsos and Prof Torsten Baldeweg.

This PhD position at KU Leuven evaluates a 12‑week integrative lifestyle program aimed at improving cognitive functioning after cancer. The candidate will conduct a systematic literature review, optimize and pilot the intervention, and run a clinical study involving neuropsychological testing, questionnaires, biomarker analyses, and advanced MRI imaging. The project is multidisciplinary, involving the Translational MRI research group, clinical partners at UZ Leuven, and experts in behavioural sciences, rehabilitation, and clinical disciplines. The role offers full‑time employment for one year with potential further funding, requiring a relevant Master’s degree, strong analytical skills, and proficiency in English and Dutch.

Postdoctoral position in Complex Networks and Brain Dynamics at Czech Academy of Sciences focusing on neuroimaging data analysis, brain modeling, and network theory with applications in neuroscience and related fields.

This PhD position at the University of Antwerp investigates the neurodevelopmental impact of Huntingtin modulation using advanced in vivo neuroimaging and electrophysiology. The candidate will work within the Experimental Neurobiology Unit and Bio-Imaging Lab, receiving joint supervision from Prof. Tommas Ellender and Prof. Daniele Bertoglio. The fully funded four-year scholarship includes a stipend, ecocheques, internet and bicycle allowances, with a desired start date between 1 Oct 2026 and 1 Dec 2026 and an application deadline of 2 Jul 2026.

This PhD position focuses on the inversion of horizontal-to-vertical (H/V) spectral ratios under the diffuse field assumption (DFA) for engineering geophysics. The candidate will conduct multi-site scientific validation, perform uncertainty analysis, and develop an operational inversion strategy to estimate shear-wave velocity profiles from ambient seismic noise. The work involves seismic data processing, signal processing, and programming in Python, C++, or Fortran, contributing to improved site characterization for seismic risk assessment.

The Max Planck Institute for Human Development in Berlin seeks a PhD candidate to work on the human side of the WildBrain project, investigating how environmental transitions shape neural plasticity and behavioural individuality across mice and humans. The role involves participant recruitment, MRI data acquisition and analysis, cross‑species data integration, and scientific publication, supported by a collaborative, international research environment and comprehensive benefits.