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Scholarship

Neuroscience biomedical master degree/postdoc

Community-posted

Last verified: 24/09/2026

Verified · Sep 2026
Postdoc

Region

Global

Deadline

Rolling admissions; position remains open until filled.

Funding

Salary commensurate with experience according to NIH scales (no specific amount specified).

Key dates

Rolling
Recurrence
rolling
Date confidence
unknown
Last verified
24/09/2026

Overview

A full‑time research position in Dr. Kinreich's group at SUNY Downstate Medical Center that studies structural and functional neural networks, genetics, and phenotypes of brain diseases using advanced machine‑learning methods. The role involves managing large neuroimaging, genetics, and clinical datasets, developing Python and Matlab ML models, writing manuscripts, and presenting results at conferences. It is posted as a scholarship/fellowship opportunity for candidates with a Master's or Ph.D. background.

Eligibility

Applicants must hold a Master's degree or Ph.D. (or be nearing completion) in computational neuroscience, biology, computer science, data science, or a related discipline, demonstrate strong programming skills in Python and Matlab, have knowledge of experimental statistics, and possess experience (or aptitude) in machine‑learning analysis and neuroimaging. Strong communication abilities and the capacity to work effectively in a research team are also required.

Relevant fields

Life SciencesBioinformatics

Key Requirements

  • Master's or Ph.D. in a relevant field
  • Proficiency in Python and Matlab
  • Knowledge of experimental statistics
  • Experience (or strong interest) in machine‑learning and neuroimaging analysis
  • Strong communication and teamwork skills

How to Apply

  1. 1Prepare your CV, representative publications, and contact information for two references.
  2. 2Compose an email to Sivan Kinreich at the provided email address.
  3. 3Attach the CV, publications, and reference contacts to the email and send it.

Application checklist generator

Deadline on the provider page

Generated from this listing's level, funding and requirements. Use it as the starting point, then confirm every detail on the official page.

Documents to prepare (14)

  • Academic CVRequired

    Research-focused CV: techniques, model systems, publications, conference posters and funding.

    Lead time: 2–3 days

  • Research statementRequired

    Two pages: what you have shown so far, the question you want to open next, and why this host lab.

    Lead time: 1–2 weeks

  • Transcripts and degree certificatesRequired

    Official copies, plus certified English translations if the originals are in another language.

    Lead time: 2–4 weeks (registrar)

  • Reference lettersRequired

    Usually two or three, at least one from a research supervisor who has seen you at the bench.

    Lead time: 3–4 weeks

  • Passport / ID copyRequired

    Valid for at least six months beyond the intended start date.

    Lead time: Same day

  • English proficiency proofRequired

    IELTS / TOEFL score, or an official waiver letter if your degree was taught in English.

    Lead time: 4–8 weeks (booking + results)

  • Publication list and PDFsRecommended

    Full list with your contribution per paper, plus PDFs of the two you are proudest of.

    Lead time: 1–3 weeks

  • Supervisor / PI contact emailRecommended

    A short, specific email to the host researcher. Most funded research posts are decided here first.

    Lead time: 1 day to write, 1–2 weeks to hear back

  • Funding and budget detailsRecommended

    Check what the award actually covers (tuition, stipend, travel, insurance) and prepare proof of any co-funding.

    Lead time: 2–3 days

  • Master's or Ph.D. in a relevant fieldRequired

    Listed explicitly by the provider — treat as mandatory.

    Lead time: Varies

  • Proficiency in Python and MatlabRequired

    Listed explicitly by the provider — treat as mandatory.

    Lead time: Varies

  • Knowledge of experimental statisticsRequired

    Listed explicitly by the provider — treat as mandatory.

    Lead time: Varies

  • Experience (or strong interest) in machine‑learning and neuroimaging analysisRequired

    Listed explicitly by the provider — treat as mandatory.

    Lead time: Varies

  • Strong communication and teamwork skillsRequired

    Listed explicitly by the provider — treat as mandatory.

    Lead time: Varies

Suggested timeline

  1. 8 weeks before

    Confirm eligibility and contact the host

    Re-read the eligibility on Community-posted's own page and email the supervisor or programme office with a short, specific enquiry.

  2. 6 weeks before

    Ask your referees

    Send each referee your CV, the listing link and the submission date. Chase politely after a week of silence.

  3. 5 weeks before

    Order transcripts and language proof

    Registrars and test centres are the slowest link in the chain — start them before you start writing.

  4. 4 weeks before

    First draft of your statement

    Write the motivation letter and (if required) the research proposal end-to-end. A rough full draft beats a polished half.

  5. 2 weeks before

    Feedback and revision

    Get one researcher and one non-specialist to read it. Cut anything that could be said about any other applicant.

  6. 1 week before

    Assemble and check the package

    File names, formats, page limits, word counts, and every mandatory field in the portal.

  7. 2 days before

    Submit

    Submit early. Portals crash on deadline day and time zones are rarely yours.

  8. After the deadline

    Follow up and keep applying

    Note the decision date, send one polite follow-up if it passes, and keep two backup listings running in parallel.

Next steps

  • Open the official listing and copy the exact requirement list into your checklist below.
  • Verify the current deadline directly on Community-posted's page — aggregated dates can lag behind.
  • Email the supervisor or PI with a three-paragraph enquiry: who you are, what you can run at the bench, what you want to ask.
  • Add every document above to your checklist and give each one a due date.
  • Line up two backup listings in the same region so a single rejection doesn't cost you the cycle.

Application Checklist

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