The Accelerated AI Algorithms for Data-Driven Discovery (A3D3) Institute funded by the National Science Foundation (NSF), under the Harnessing the Data Revolution (HDR) program, is seeking postbaccalaureate research fellows  to join our interdisciplinary teams of scientists and engineers to develop and deploy artificial intelligence (AI) to accelerate science discoveries in particle physics, astrophysics, biology, and neuroscience. We strongly encourage women and individuals from traditionally underrepresented groups in STEM, such as African American/Black, Chicano/Latino, Native American/Alaska Native, Native Hawaiin/Pacific Islander, and Filipino, to apply.

A3D3 is a multi-disciplinary and geographically distributed entity with the primary mission to lead a paradigm shift in the application of real-time artificial intelligence (AI) at scale to advance scientific knowledge and accelerate discovery. The Institute team reflects a collaborative effort of Principal Investigators from Caltech, Duke University, MIT, Purdue University, University of California San Diego, University of Illinois at Urbana-Champaign, University of Minnesota, University of Washington, and University of Wisconsin-Madison.

Postbac fellows will be assigned to one of the projects listed at ​​https://a3d3.ai/jobs.html at one of the hosting institutions based on preferences and availability. Postbac fellows will also have access to professional development opportunities including career guidance and graduate school preparation.

The appointment is for a one-year term with a nominal start date of June 5, 2023, although some flexibility will be allowed to potentially start in July or August. This is a full-time, salaried position with benefits.

Application requirements:

• US Citizenship or Permanent Residency

• Bachelor’s Degree in Physics, Applied Physics, Astronomy, Astrophysics, Neuroscience, Computer Science, Electrical Engineering, or a related field within the last 24 months or expected by the start date

• CV or resume (up to 2 pages)

• Unofficial academic transcript (no minimum GPA requirement)

• At least 1 and at most 2 letter(s) of recommendation from someone familiar with your capacity for research (e.g. instructor in a lab course, academic advisor, mentor, etc.)

• Responses to the following prompts:

• Please describe your career goals (e.g., do you plan to attend graduate school and/or pursue a career in industry or academia, etc.).

• Please describe any previous experience with leadership (e.g., coordination of volunteer activities, board member in student organization, residential life, etc.), social justice (e.g., addressing a systemic inequality through education, organizing, activism, mentorship, counseling, outreach/access, survival and development work, event planning/coordination, community building and development, etc.), or community involvement (e.g., volunteer service, organizing, activism, teaching, mentoring, counseling, community art production, etc.).

• Please describe any previous research experience if applicable (e.g., undergraduate research, involvement in McNair, REUs, or similar programs, independent or group study with a professor or other researcher, research outside of academia, full-time research after college, etc.).

• [Optional] Please optionally describe any experience overcoming adversity (e.g. overcoming educational, social, cultural, economic barriers, or barriers related to accessibility, etc.).

• Please select up to 3 principal investigator mentors and corresponding research areas/locations from https://a3d3.ai/jobs.html. Please explain your top interest.

Location: This position will be physically located one of the hosting institutes: University of California San Diego, University of Minnesota, University of Illinois at Urbana-Champaign, Massachusetts Institute of Technology, Duke University, University of Washington, or California Institute of Technology

Application deadline: March 3, 2023

Notification date: April 3, 2023

Covid measures: Comply with local institute

Applications will be handled through Academic Jobs Online.

Evaluation criteria: Candidates will be evaluated on the basis of a holistic rubric including categories for academic preparation (based on transcript and letters), research potential (based on letters and responses to prompts), social justice and community involvement (based on letters and responses to prompts), noncognitive competencies (such as the ability to collaborate, lead, or overcome adversity), alignment with the program, and potential benefit from the program (e.g., lack of prior access to research opportunities). There is no minimum GPA requirement.