Postdoc: Neuroimaging Data Science & Causal Inference

University of Vermont; Burlington (VT); On-site; USD 63,000 - 77,000; Full time

Benefits offered by this job

Hybrid schedule

Access to ABCD/IMAGEN/ENIGMA datasets

Job summary

The University of Vermont invites applications for a Postdoctoral Associate in the Department of Psychiatry to lead analyses of large multimodal longitudinal neuroimaging datasets and investigate cannabis-related neurodevelopmental trajectories. The role requires advanced Bayesian statistics, causal inference, and proficiency in R and Python, with strong collaboration across a transdisciplinary team.

Ideal candidates will have a PhD in a quantitative or neuroscientific field, a track record of

Qualifications

• Postdoctoral degree in a quantitative, computational, neuroscientific, or closely related discipline.
• Experience analyzing longitudinal neuroimaging data from large multisite studies.
• Strong grounding in Bayesian statistics and causal inference methods.
• Background in complex systems science and its application to neurobiological or psychiatric research.
• Proficiency in R and Python for statistical computing.
• Experience applying machine learning methods within rigorous cross‑validation.
• Experience with data management, quality control, and data sharing in large-scale studies.
• Record of peer‑reviewed scholarly productivity and strong communication skills.
• Ability to work independently and collaboratively in a multidisciplinary team and commit to open science.

Responsibilities

• Lead analyses of multimodal longitudinal neuroimaging datasets (ABCD, IMAGEN, ENIGMA).
• Characterize developmental trajectories of brain and behavior.
• Apply Bayesian causal inference and machine learning within cross‑validation frameworks.
• Collaborate across multidisciplinary teams and ensure open science practices.

Skills

Postdoctoral research

Longitudinal neuroimaging analysis

Bayesian statistics

Causal inference

R and Python

Machine learning in neuroimaging

Data management & QC

Peer‑reviewed publication

Collaborative research

Education

Doctoral degree in quantitative/computational/neuroscience or related field

Tools

R

Python

Neuroimaging pipelines

Job description

The University of Vermont invites applications for a Postdoctoral Associate in the Department of Psychiatry to lead analyses of large multimodal longitudinal neuroimaging datasets and investigate cannabis-related neurodevelopmental trajectories. The role requires advanced Bayesian statistics, causal inference, and proficiency in R and Python, with strong collaboration across a transdisciplinary team.

Ideal candidates will have a PhD in a quantitative or neuroscientific field, a track record of