You do not need experience in neuroscience to apply. Applicants must be scientists with a Ph.D. (or equivalent) or who will have completed their Ph.D. by the start of the fellowship. The Ph.D. should have been awarded in the last 3 years. The fellowship is appropriate for Ph.D.s in a quantitative field such as computer science, electrical engineering, physics, mathematics, or biology. They should have a strong background in statistical, computational, machine learning, or other data science methods. Up to three fellows will be selected each year. International applicants are eligible to apply and we provide immigration support.

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Applications must include:

• A curriculum vitae (CV) from the applicant
• Two (2) Letters of support from your mentor and other professors and scientists you have worked with
• A one-page personal statement from the applicant describing their history, activities, and interests as an individual (especially those outside of science) which may give the committee a greater sense of you as a person and your ability to simultaneously interact with and challenge traditional scientific fields.
• A two- to three-page research statement from the applicant describing their prior research, interests in applying data science to the field of neuroscience, potential research interests (including tools they are familiar with) and how this fellowship aligns with their career goals.

Direct questions to shanahan.fellow@alleninstitute.org.