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Neuroimaging Postdoc Jobs in Rhode Island (NOW HIRING)

Neuroimaging Postdoc information

What is a neuroimaging postdoc?

Neuroimaging Postdocs are researchers who have completed their PhD and are engaged in advanced training and research using imaging techniques to study the brain and nervous system. Their work often involves using tools such as MRI, fMRI, PET, or EEG to investigate brain structure and function, and may focus on topics like cognition, neurological disorders, or brain development. They typically work in academic or medical research settings, collaborating with multidisciplinary teams to analyze data and publish scientific findings. The position allows them to further develop their expertise and prepare for independent research careers in neuroscience or related fields.

What types of collaborative projects can a neuroimaging postdoc expect to be involved in?

As a Neuroimaging Postdoc, you will frequently collaborate with multidisciplinary teams that may include neuroscientists, radiologists, psychologists, and computational scientists. These collaborations often span projects involving advanced data analysis, development of new imaging protocols, or integrating neuroimaging with behavioral or genetic data. Regular meetings, joint grant applications, and co-authorship on publications are common, providing valuable experience in teamwork and expanding your professional network. This collaborative environment helps you develop both technical and interpersonal skills essential for advancing in academia or industry.

What are the key skills and qualifications needed to thrive as a neuroimaging postdoc, and why are they important?

To thrive as a Neuroimaging Postdoc, you need a strong background in neuroscience, advanced statistical analysis, and a PhD in a related field. Expertise with neuroimaging software (such as SPM, FSL, or AFNI), programming languages like Python or MATLAB, and experience handling large datasets are typically required. Critical thinking, problem-solving, and effective communication are vital soft skills for collaborating in multidisciplinary research teams. These skills ensure rigorous data analysis, meaningful scientific contributions, and successful project outcomes in a competitive research environment.

What is the difference between Neuroimaging Postdoc vs Neuroimaging Research Scientist?

AspectNeuroimaging PostdocNeuroimaging Research Scientist
CredentialsPhD in neuroscience, psychology, or related fieldMaster's or PhD, often with postdoctoral experience
Work EnvironmentAcademic labs, universities, research institutionsResearch labs, industry, or academic settings
Primary FocusConducting independent research, training, publishingLeading research projects, applying findings, supervising
Typical DurationUsually 1-3 yearsVaries, often longer-term or permanent roles

While both roles involve neuroimaging techniques and research, a Neuroimaging Postdoc primarily focuses on conducting independent research and gaining experience, often in academic settings. In contrast, a Neuroimaging Research Scientist typically leads projects, applies research findings, and may have more responsibilities in supervising or managing research activities.

What job categories do people searching Neuroimaging Postdoc jobs in Rhode Island look for?

The top searched job categories for Neuroimaging Postdoc jobs in Rhode Island are:

What cities in Rhode Island are hiring for Neuroimaging Postdoc jobs?

Cities in Rhode Island with the most Neuroimaging Postdoc job openings:

Infographic showing various Neuroimaging Postdoc job openings in Rhode Island as of August 2026, with employment types broken down into 70% Full Time, and 30% Part Time. Highlights an 71% Physical, 1% Hybrid, and 28% Remote job distribution.

Postdoctoral Research Associate (PH#301)

Brown University

Providence, RI • On-site

Full-time

Re-posted 19 days ago


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Job description

Description
If you are curious about brain mechanisms and subjective experience of cognitive states and excited to build next-generation technology, you are at the right place. The Mindfulness Center at Brown University has an opening for a postdoctoral researcher to conduct research and help develop next-generation neurotechnology aimed at understanding conscious states for improving mental health and wellbeing. We are studying questions such as: "What are the neural correlates of 'getting caught up' in a habit or addictive thinking pattern?" "What are the behavioral mechanisms underlying stress and emotional eating, and how can we target these for therapeutic benefit?" "How can we best utilize digital delivery of treatment (e.g. app-based training) to help people overcome bad habits and addictions?" A main drive of our lab is to use these insights to develop technologies to help people in real-world settings.
For a sample of some of the work we do, watch Anderson Cooper's brain change in real time in a video from CBS' 60 Minutes (https://www.youtube.com/watch?v=5AFdPVP2Cdc) or a short (12 minute) Al Jazeera documentary on our work with craving and habit change (Breaking bad habits: Mindful addiction recovery).
This is an exciting opportunity to participate in several neuroimaging projects. We have identified biologically plausible brain targets of meditation (e.g. Brewer et al., 2011; Garrison et al., 2013; etc.) and have linked specific brain regions to cognitive states such as 'getting caught up' in one's experience (Brewer et al., 2013). We have also run several NIH-funded trials to examine if app-delivered mindfulness can help individuals reduce anxiety (Roy et al., 2020; Roy et al., 2021; Gao et al., 2022), and have found that mindfulness training can target the default mode network, predicting reductions in smoking (Janes et al. 2019). We are now exploring neural correlates of mental states and if changes in brain activity can predict clinical outcomes in individuals with anxiety.
The position will be for up to 3 years (with possible extensions).
Qualifications
Preferred Qualifications for this position include:
  • PhD in neuroscience, psychology, biomedical engineering, or related field
  • Experience with fMRI acquisition and analysis (ePrime, FSL, AFNI, SPM, etc.)
  • Experience with statistical analysis (e.g. SPSS, R, etc.)
  • Basic programming experience (Matlab, C++, bash etc.)
  • A record of publications and conference presentations
  • Team-player with excellent communication skills.

Application Instructions
Qualified candidates should submit their cover letter and CV.
Review of applications will begin immediately and will continue until the position is filled or the search is closed. The qualified candidate could start as early as July 1, 2022.

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