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Postdoctoral Associate – AI for Science
Cornell University embraces diversity and seeks candidates who will contribute to a climate that supports students, faculty and staff of all identities and backgrounds. We strongly encourage individuals from underrepresented and/or marginalized identities to apply.
The Cornell University AI for Science Institute (CUAISci ) hosts the Eric and Wendy Schmidt AI in Science Postdoctoral Fellowship, a program of Schmidt Futures. This program supports postdocs pursuing collaborative research projects using AI to accelerate scientific discovery. Postdocs will engage in a variety of research, training, and learning opportunities to advance broad and deep adoption of AI tools across multiple scientific domains. Postdocs will become part of a global network of AI-trained researchers and be at the forefront of AI-led scientific innovation.
CUAISci seeks applications for the next cohort of postdocs , to begin Fall 2023. Selected postdocs will work in a scientific domain whose primary discipline and mentor is in STEM but not in computer science, operations research, or mathematics.
The initial research themes identified for the fellowship program at CUAISci include, but are not limited to, the following:
- AI for Materials Discovery
- AI for Physics
- AI for the Biological Sciences
- AI for the Sustainability Sciences
For potential mentors, please see the list of CUAISci-affiliated faculty and researchers , as well as Cornell webpages of other faculty and researchers in science and engineering domains.
Postdocs are expected to engage with cross-disciplinary teams to learn AI and foster deep integration of AI concepts and techniques to their scientific area. The postdoc is expected to serve as the bridge between domain scientists and AI experts, with the ability to show other domain scientists the power of AI to improve and expand studies in their field.
Selected postdocs are expected to fully participate in all program activities and be an active member of their Cornell cohort, as well as their counterpart cohorts at other program sites around the world. This will involve participating in seminars and workshops, auditing courses, publishing in high-impact scientific journals, and attending conferences. Attendance at the annual Eric and Wendy Schmidt AI in Science Postdoctoral Fellowship, a program of Schmidt Futures conference is required.
Postdoc research projects are not intended to be seed grants for new projects. We aim to support postdoc research for projects that already have preliminary results, or that are part of a long-term science program. Further, this program is meant to produce use-inspired basic and applied research with a strong AI component, driven by real-world scientific applications.
Science faculty mentors are expected to sufficiently engage with their postdoc mentee, providing training and learning opportunities, as well as career guidance. Mentors must develop an Individual Development Plan with their selected fellow, and update the plan as needed.
- Postdoctoral applicants must identify a primary Cornell faculty mentor in their scientific domain. Suggested mentors can be found via the website , but are not limited to those listed.
- Applicants, in conjunction with the Cornell science faculty mentor, will draft a proposal that includes a clear description of the topic, the AI component, and an AI mentorship plan.
- Applications will be evaluated on (i) intellectual merit and scientific excellence, (ii) AI for science potential, (iii) cross disciplinary connections, (iv) broader societal impact, and (v) diversity, equity, and inclusion experiences and vision.
- Applications will be evaluated by a review panel.
- A short list of applicants will be interviewed via Zoom.
- Applications are due on April 15, 2023. Review of applications will continue until all spots are filled.
- The intended start date is September 1, 2023.
Requirements and Qualifications
A major goal of this program is for postdocs to learn how to use AI to solve problems in their scientific domains. Successful candidates must exhibit excellence in their scientific domain, and show evidence of strong quantitative skills. While we do not expect a candidate to possess a deep understanding of AI, proficiency in AI will be considered in the selection process. Applicants must hold a PhD prior to their start date.
Applicants must have a science mentor and intended department for appointment. Science mentors must be faculty members in a relevant field and department, for example in the College of Engineering, the College of Agricultural and Life Sciences, or the College of Arts and Sciences. The primary discipline and department of both the postdoc and mentor must not be in computer science, operations research, or mathematics.
Support and Benefits
Selected postdocs will be appointed as endowed employees at Cornell University in a department identified according to the criteria above. Starting salary is $74,160 plus endowed employee benefits. Each postdoc will receive a $15,000 research allowance via funds from their appointing college, department or science mentor.
Please submit applications by the due date to Dr. Rebecca Dillon . Applications should be submitted as a single pdf and named as ApplicantLastName_ApplicantFirstName-Science.pdf. Applications should contain the following:
- Applicant’s CV
- Applicant’s transcript showing proof of PhD or letter from current PhD advisor stating intended completion date
- Research proposal
- Maximum 3 pages, 11-point font, 1-inch margins, single spaced
- Will be reviewed according to the evaluation criteria listed in the Application Process section
- Letter of support from selected Cornell domain science mentor, including a statement on the funding source for the annual postdoc research allowance
- 2 other reference letters
Refer to Posting Language
The hiring rate of pay for the successful candidate will be determined considering the following criteria:
Prior relevant work or industry experience.
Education level to the extent education is relevant to the position.
Academic Discipline (faculty pay ranges reflects 9-month annual salary)
Unique applicable skills.
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