NSF-Simons AI Institute for the Sky (SkAI)
Data Science Preceptor
NSF-Simons AI Institute for the Sky (SkAI), Chicago, Illinois, United States, 60290
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Data Science Preceptor
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NSF-Simons AI Institute for the Sky (SkAI) . NSF-Simons AI Institute for the Sky (SkAI Institute or SkAI) is one of the National Artificial Intelligence Research Institutes funded by the U.S. National Science Foundation and Simons Foundation. The mission of the SkAI Institute is to unleash the discovery potential of revolutionary sky surveys and solve fundamental and emerging multiscale problems at the forefront of astrophysics and foundational AI. This mission is being achieved through the following values: Innovation:
Leveraging and advancing AI capabilities to harness and advance astronomy data, simulations, and experiments. Collaboration:
Fostering interdisciplinary teams to support collaboration across the SkAI Network and foster emerging leaders in research, teaching, and art. Sustainability:
Aims to contribute to the long-term impact on astronomy, AI, and other communities by cultivating open-source community software, datasets, and educational training materials and, ultimately, by fostering emerging talent for the future workforce.
Centrally located in Chicago and the Midwest, with research and education bridges to Georgia, Hawaii, and Alaska, SkAI brings together 25 partner organizations that serve as a cross-disciplinary nexus synergistically accelerating Astro-AI research and helping educate the future Astro-AI workforce. Astrophysicists, foundational AI researchers, educators, AI ethicists, software engineers, and artists come together to: Confront the challenges posed by transformative multiwavelength and multimessenger surveys; Develop innovative, trustworthy AI tools for the research community; and Seed and nurture a new generation of interdisciplinary leaders in science and engineering to ethically apply and extend AI within and beyond academia.
Role Description The University of Chicagos Data Science Institute, in partnership with the City Colleges of Chicago (CCC), and the SkAI Institute invite applications for the position of the University of Chicago (UChicago) SkAI Data Science Preceptorship with a focus on teaching and scholarship in the area of Astronomy and AI. The UChicago and CCC Preceptorship program develops the next generation of teaching academics for data science and astronomy education. This unique program emphasizes pedagogical best practices and allows Preceptors the opportunity to broaden their classroom skills and enhance their teaching and scholarship portfolios with the support of UChicago and CCC faculty mentorship. UChicago is recruiting Preceptors with an Astronomy and AI focus to co?develop new Astro?AI curriculum and teach courses at UChicago, CCC, and other SkAI partner institutions. The initial appointment is expected to begin September?1,?2026. Preceptors will work side by side with faculty from UChicago and CCC on teaching and developing course materials. Professional development training will be provided by both the UChicago and CCC faculty. Preceptors will gain experience teaching across learning environments with opportunities to engage with UChicago and CCC students in STEM courses. The teaching obligation is expected to be two one?quarter courses at UChicago and two one?semester courses at CCC per academic year. This role includes dedicated time for research and scholarship activities. This position also includes structured professional development, administrative duties, and student mentoring activities. The position is for an initial two?year appointment with a renewal for a third year possible. Qualifications A Ph.D. in data science, mathematics, statistics, computer science, biology, physics, astronomy, astrophysics, or other closely related fields to data science. Application instructions Applications must be submitted online through: . Review of applications will begin on November?15,?2025, and will continue until all available positions are filled. Required materials are: Two or more letters of reference, at least one of which must address teaching ability. Teaching statement (description of teaching and mentoring philosophy and experience).
Optional materials: Course evaluations from courses previously taught. Equal Employment Opportunity Statement The University of Chicago is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender, gender identity or expression, national or ethnic origin, shared ancestry, age, status as an individual with a disability, military or veteran status, genetic information, or other protected classes under the law. For additional information please see the Universitys Notice of Nondiscrimination. Job seekers in need of a reasonable accommodation to complete the application process should call 773?834?3988 or emailequalopportunity@ with their request. #J-18808-Ljbffr
Data Science Preceptor
role at
NSF-Simons AI Institute for the Sky (SkAI) . NSF-Simons AI Institute for the Sky (SkAI Institute or SkAI) is one of the National Artificial Intelligence Research Institutes funded by the U.S. National Science Foundation and Simons Foundation. The mission of the SkAI Institute is to unleash the discovery potential of revolutionary sky surveys and solve fundamental and emerging multiscale problems at the forefront of astrophysics and foundational AI. This mission is being achieved through the following values: Innovation:
Leveraging and advancing AI capabilities to harness and advance astronomy data, simulations, and experiments. Collaboration:
Fostering interdisciplinary teams to support collaboration across the SkAI Network and foster emerging leaders in research, teaching, and art. Sustainability:
Aims to contribute to the long-term impact on astronomy, AI, and other communities by cultivating open-source community software, datasets, and educational training materials and, ultimately, by fostering emerging talent for the future workforce.
Centrally located in Chicago and the Midwest, with research and education bridges to Georgia, Hawaii, and Alaska, SkAI brings together 25 partner organizations that serve as a cross-disciplinary nexus synergistically accelerating Astro-AI research and helping educate the future Astro-AI workforce. Astrophysicists, foundational AI researchers, educators, AI ethicists, software engineers, and artists come together to: Confront the challenges posed by transformative multiwavelength and multimessenger surveys; Develop innovative, trustworthy AI tools for the research community; and Seed and nurture a new generation of interdisciplinary leaders in science and engineering to ethically apply and extend AI within and beyond academia.
Role Description The University of Chicagos Data Science Institute, in partnership with the City Colleges of Chicago (CCC), and the SkAI Institute invite applications for the position of the University of Chicago (UChicago) SkAI Data Science Preceptorship with a focus on teaching and scholarship in the area of Astronomy and AI. The UChicago and CCC Preceptorship program develops the next generation of teaching academics for data science and astronomy education. This unique program emphasizes pedagogical best practices and allows Preceptors the opportunity to broaden their classroom skills and enhance their teaching and scholarship portfolios with the support of UChicago and CCC faculty mentorship. UChicago is recruiting Preceptors with an Astronomy and AI focus to co?develop new Astro?AI curriculum and teach courses at UChicago, CCC, and other SkAI partner institutions. The initial appointment is expected to begin September?1,?2026. Preceptors will work side by side with faculty from UChicago and CCC on teaching and developing course materials. Professional development training will be provided by both the UChicago and CCC faculty. Preceptors will gain experience teaching across learning environments with opportunities to engage with UChicago and CCC students in STEM courses. The teaching obligation is expected to be two one?quarter courses at UChicago and two one?semester courses at CCC per academic year. This role includes dedicated time for research and scholarship activities. This position also includes structured professional development, administrative duties, and student mentoring activities. The position is for an initial two?year appointment with a renewal for a third year possible. Qualifications A Ph.D. in data science, mathematics, statistics, computer science, biology, physics, astronomy, astrophysics, or other closely related fields to data science. Application instructions Applications must be submitted online through: . Review of applications will begin on November?15,?2025, and will continue until all available positions are filled. Required materials are: Two or more letters of reference, at least one of which must address teaching ability. Teaching statement (description of teaching and mentoring philosophy and experience).
Optional materials: Course evaluations from courses previously taught. Equal Employment Opportunity Statement The University of Chicago is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender, gender identity or expression, national or ethnic origin, shared ancestry, age, status as an individual with a disability, military or veteran status, genetic information, or other protected classes under the law. For additional information please see the Universitys Notice of Nondiscrimination. Job seekers in need of a reasonable accommodation to complete the application process should call 773?834?3988 or emailequalopportunity@ with their request. #J-18808-Ljbffr