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  • Faculty

    Instructional Professor (Open Rank), Data Science

    The University of Chicago invites applications from Data Science educators for the position of Instructional Professor (open rank). The selected candidate will be appointed as Assistant Instructional Professor, Associate Instructional Professor, or Instructional Professor, depending on qualifications. The appointment will be for a term of up to five years, renewable. This is a career-track position with potential progression, competitive salary, and benefits. This position is expected to begin on September 1, 2022.

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    Professor, Data Science

    The University of Chicago invites applications for tenured faculty positions at the rank of Professor in the area of Data Science. The University of Chicago is implementing an ambitious plan for research and education in Data Science including new academic programs at the undergraduate and graduate levels and new cross-disciplinary research programs. The Data Science Institute is a collaboration among the Department of Computer Science, the Department of Statistics, and other units on campus. Topics of interest include artificial intelligence, machine learning, data visualization, fairness and data ethics, societal impact of data, data engineering, natural language processing, and high dimensional statistical inference, but we encourage applications from all researchers focused on developing the foundations and practice of Data Science as an emerging field. Appointments may be made in either department, jointly between Statistics and Computer Science, or jointly with another department in the University.

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    Associate Professor, Data Science

    The University of Chicago invites applications for tenured faculty positions at the rank of Associate Professor in the area of Data Science. The University of Chicago is implementing an ambitious plan for research and education in Data Science including new academic programs at the undergraduate and graduate levels and new cross-disciplinary research programs. The Data Science Institute is a collaboration among the Department of Computer Science, the Department of Statistics, and other units on campus. Topics of interest include artificial intelligence, machine learning, data visualization, fairness and data ethics, societal impact of data, data engineering, natural language processing, and high dimensional statistical inference, but we encourage applications from all researchers focused on developing the foundations and practice of Data Science as an emerging field. Appointments may be made in either department, jointly between Statistics and Computer Science, or jointly with another department in the University.

    Assistant Professor, Data Science

    The University of Chicago invites applications for tenure-track faculty positions at the rank of Assistant Professor in the area of Data Science. The University of Chicago is implementing an ambitious plan for research and education in Data Science including new academic programs at the undergraduate and graduate levels and new cross-disciplinary research programs. The Data Science Institute is a collaboration among the Department of Computer Science, the Department of Statistics, and other units on campus. Topics of interest include artificial intelligence, machine learning, data visualization, fairness and data ethics, societal impact of data, data engineering, natural language processing, and high dimensional statistical inference, but we encourage applications from all researchers focused on developing the foundations and practice of Data Science as an emerging field. Appointments may be made in either department, jointly between Statistics and Computer Science, or jointly with another department in the University.

    Apply

    The University of Chicago is an Affirmative Action/Equal Opportunity/Disabled/Veterans Employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national or ethnic origin, age, status as an individual with a disability, protected veteran status, genetic information, or other protected classes under the law. For additional information please see the University’s Notice of Nondiscrimination.

  • Postdoctoral

    Data Science and Applied AI Postdoctoral Scholars Program

    The UChicago Data Science Institute invites applications for Postdoctoral Scholars with appointments starting on or after July 1, 2022. We are interested in individuals who wish to deepen their knowledge of cutting-edge data science and computing research while developing additional expertise in a specific, applied problem domain.

    This unique program provides postdocs with the opportunity to pursue original research on significant questions in data science, while also developing specialized domain expertise in one or more complementary areas such as behavioral science, healthcare, and public policy.

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    Preceptor in Data Science

    The University of Chicago’s Data Science Institute, in partnership with the City Colleges of Chicago (CCC), invites applications for the position of University of Chicago (UChicago) Preceptor in Data Science. The UChicago and CCC Preceptorship program will develop the next generation of teaching positions for data science, engineering, and computer science education. This unique program emphasizes STEM pedagogical best practices and allows the preceptors to broaden their classroom skills and enhance their teaching portfolios with the support of UChicago and CCC faculty mentorship.

    This is a staff teaching position in Data Science and Computing with an initial two year appointment and a possible renewal for a third year. The initial appointment is expected to begin August 1, 2022. 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 2 one-quarter courses at UChicago and 2 one-semester courses at CCC per academic year. This position also includes administrative duties and mentoring activities.

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    Postdoctoral Scholar in Computational Cosmology/Astrophysics and Artificial Intelligence

    The Deep Skies Lab at Fermilab is excited to announce postdoctoral research positions in computational cosmology with Dr. Brian Nord and his research group! We focus on the development and application of statistical learning and artificial intelligence algorithms.

    Physicists, astronomers, statisticians, computer scientists, and AI experts/practitioners are invited to apply. In this position, you will have the opportunity to build and apply new algorithms for the study of cosmological phenomena, like dark energy and dark matter. Our group also welcomes new research ideas and directions. You will also have ample opportunity to collaborate in cosmology-related research collaborations, like Dark Energy Survey and Rubin Observatory’s Legacy Survey of Space and Time (LSST).

    Broadly, the activities in our group support the innovation, development, and application of advanced statistical and computing techniques for the analysis of large cosmological data sets. In particular, we will develop and use deep learning and simulation-based inference (aka, likelihood-free inference) for the analysis of strong gravitational lensing data. We also strongly encourage applicants who have experience with other cosmological probes and statistical learning algorithms.

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    Postdoctoral Scholar in AI Uncertainty Quantification and Automation of Scientific Instrumentation

    The Deep Skies Lab (deepskieslab.com) at Fermilab is excited to announce two postdoctoral researcher positions in artificial intelligence for science with Dr. Brian Nord and his research group! We focus on the development and application of statistical learning and AI algorithms.

    Statisticians, computer scientists, AI experts/practitioners, physicists, and astronomers are invited to apply. In these positions, you will have the opportunity to build and apply new algorithms for 1) uncertainty quantification in AI and 2) for automated design and operation of scientific instruments. Our group also welcomes new research ideas and directions. You will also have ample opportunity to collaborate in AI- and cosmology-related research collaborations. We publish in peer-reviewed journals and conferences, and there will be opportunities for travel and inter-institutional collaboration.

    Broadly, the activities in our group support the innovation, development, and application of advanced statistical and computing techniques to accelerate scientific discovery. In particular, each postdoc position focuses on a distinct task. One position is aimed at the exploration and development of AI uncertainty quantification methods for science analyses. The other position centers on automating the design and operation of scientific instrumentation (e.g., self-driving telescopes).

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    Postdoctoral Scholar in Cancer-Focused Machine Learning

    The University of Chicago Pritzker School of Molecular Engineering is seeking candidates for 2–3 postdoctoral scholar research positions, funded primarily by the UChicago Data Science Institute. Postdoctoral scholars will lead interdisciplinary research projects and collaborations in the areas of machine learning, genomics, clinical cancer care, and image-based computer vision. Advances in genomics have led to new cancer therapies that target specific genetic or molecular features, raising the potential for effective personalized treatments with reduced side effects. However, the majority of patients treated with targeted therapies do not respond as predicted, and detailed patient genomic information is expensive to acquire. The goals of this initiative are to develop new artificial intelligence approaches that improve targeting of cancer treatment by combining multiple streams of genetic information with tumor pathology images. Postdoctoral scholars will create new methods that draw upon computer vision and machine learning to extract essential contextual information about individual cancers from tumor samples, utilizing genomic, transcriptional, and image-based features.

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    Postdoctoral Scholars & Graduate Students, Deep Learning in Cosmology and Astrophysics

    We are seeking collaborators for a short-term project on the development and application of statistical and deep learning techniques for the analysis of Cosmic Microwave Background (CMB) imaging data. We are seeking postdocs and graduate students with experience in statistics and deep learning applications for computer vision in the context of astronomy and cosmology. The scope of work includes the innovation, development, and application of deep learning techniques for the analysis of CMB. Both projects will likely touch on issues and opportunities to advance deep learning algorithms, methods in uncertainty quantification for machine learning, and high-performance computing. We are seeking to collaborate as soon as possible, and aim to complete work (including submit publications) by late 2022. We can provide funding for graduate students or a postdoc for about a year.

    For more information, contact Brian Nord.

    Postdoctoral Scholar, Mapping & Mitigating the Urban Digital Divide

    The University of Chicago is seeking a Postdoctoral Scholar focused on internet performance and measurement to work closely with Nick Feamster, Neubauer Professor of Computer Science and Faculty Director of Research at the UChicago Data Science Institute. The Urban Digital Divide project is a major interdisciplinary research initiative, funded by Data.org, focused on addressing the issue of Internet access by using large-scale Internet measurement and data science to help communities and stakeholders to better assess the quality and accessibility of broadband Internet access.

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    The University of Chicago is an Affirmative Action/Equal Opportunity/Disabled/Veterans Employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national or ethnic origin, age, status as an individual with a disability, protected veteran status, genetic information, or other protected classes under the law. For additional information please see the University’s Notice of Nondiscrimination.

  • Graduate

    DSI Summer Lab: Lab Coordinator

    The Data Science Institute (DSI) is seeking current UChicago graduate students from computer science and statistics to join the DSI Summer Lab team as Lab Coordinators for the 2022 program. Benefits of the position include a competitive stipend, mentoring and teaching experience, and further networking within the UChicago data science ecosystem. We anticipate the 2022 program will be in person, but will pivot to a remote program if necessary. The program dates are June 13th – August 19th, 2022.

    The position responsibilities include, but are not limited to:

    • Participate in the admissions review process during March 2022. Independently review applications using evaluation rubric and join group review meetings.
    • Aid in the instruction and planning of the Summer Lab skills on-ramp training course.
    • Plan and participate in student cohort social activities, including weekly social hangouts and 3-4 cohort-wide social events.
    • Serve as a technical resource for students through weekly office hours and standup meetings.
    • Supervise at least one cluster (up to 10 students total) and lead its weekly standup meetings and all other related cluster-based activities.

    Read the position description here. Stipend rate: $3,500, if beginning before Feb. 21, 2022. Paid in 2 installments.

    To apply: Send a resume/CV and a one page cover letter explaining your background and interests in the position to Katie Rosengarten (krosengarten@uchicago.edu).

    UChicago Student RA: Community Data Fellow

    The DSI is seeking multiple RAs from a variety of social science and computational backgrounds to serve as Community Data Fellows. The RAs will provide assistance to local nonprofits to help address data capacity and project needs. This unique opportunity is aimed at students whose passion lies in developing innovative solutions to real-world data problems in multiple domains. Key responsibilities could include:

    ● Communicating with community partners and evaluating their data goals

    ● Analyzing datasets and reporting insights to the organization

    ● Scoping and fulfilling a data science work plan

    ● Developing data pipelines, including cleaning, normalization, and organization of data

    Apply via email to mindi@uchicago.edu including 1) briefly explaining your interest in the role, and 2) resume.

    Graduate Research Assistant (RA), The Urban Resiliency Initiative (URI)

    The Urban Resiliency Initiative (URI), part of the Department of Comparative Human Development (CHD), seeks to hire up to six (6) part-time (10-19.5 hrs/wk) graduate research assistants to support computational tasks associated with its NIH-funded “Primed to (re)act” project. These will be remote work positions, but we will hold regular in-person group meetings that you will be expected to attend as University COVID-19 policies allow. Full position details here.

    To apply, please send a resume, cover letter, and sample code (optional) to Dr. Graziul (graziul@uchicago.edu). Applications will be considered until all positions are filled.

    The University of Chicago is an Affirmative Action/Equal Opportunity/Disabled/Veterans Employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national or ethnic origin, age, status as an individual with a disability, protected veteran status, genetic information, or other protected classes under the law. For additional information please see the University’s Notice of Nondiscrimination.

  • Undergraduate

    UChicago Student RA: Community Data Fellow

    The DSI is seeking multiple RAs from a variety of social science and computational backgrounds to serve as Community Data Fellows. The RAs will provide assistance to local nonprofits to help address data capacity and project needs. This unique opportunity is aimed at students whose passion lies in developing innovative solutions to real-world data problems in multiple domains. Key responsibilities could include:

    ● Communicating with community partners and evaluating their data goals

    ● Analyzing datasets and reporting insights to the organization

    ● Scoping and fulfilling a data science work plan

    ● Developing data pipelines, including cleaning, normalization, and organization of data

    Apply via email to mindi@uchicago.edu including 1) briefly explaining your interest in the role, and 2) resume.

    UChicago Student RA: Text Analysis/NLP – Representation of Race and Gender in Education

    Anjali Adukia (University of Chicago), Callista Christ (University of Chicago), and Emileigh Harrison (University of Chicago) are looking to hire a student research assistant to help with text analysis and natural language processing for a range of projects, including a study on gender and race representation in education. This position would be for Fall 2021, with the potential to extend into the full academic year. Applications will be reviewed on a rolling basis. More details here.

    To apply: Please send a letter of interest to callistac@uchicago.edu with a description of any project you worked on related to natural language processing or text analysis, a link to your Github account, your resume/CV, and an unofficial transcript (if applicable).

    UChicago Student RA: Text Analysis/NLP – COVID-19 and Education

    Anjali Adukia (University of Chicago), Callista Christ (University of Chicago), and Sarah Cohodes (Columbia University) are looking to hire a research assistant to help with text analysis and natural language processing for a range of projects, including a study analyzing how perceptions of homeschooling have changed throughout the Covid-19 pandemic. This position would be for Fall 2021, with the potential to extend into the full academic year. Applications will be reviewed on a rolling basis. More details here.

    To apply: Please send a letter of interest to callistac@uchicago.edu with a description of any project you worked on related to natural language processing or text analysis, a link to your Github account, your resume/CV, and an unofficial transcript (if applicable).

    UChicago Student RA: Image Analysis/Computer Vision – Representation of Race and Gender in Education

    Anjali Adukia (University of Chicago) and Teodora Szasz (University of Chicago) are looking to hire a research assistant for a range of projects, including a study on gender and race representation in education. This position would be for Fall 2021, with a possibility of extending into next academic year. Applications will be reviewed on a rolling basis. More details here.

    To apply: Please send a letter of interest to tszasz@uchicago.edu with a description of any project you worked on related to image analysis, a link to your Github account, your resume/CV, and an unofficial transcript (if applicable).

    Undergraduate Research Assistant (RA), Pediatric Cancer Data Commons

    The Pediatric Cancer Data Commons (PCDC) in the Volchenboum Lab is looking for an undergraduate student to help with work on medical informatics projects. The student will work directly with an expert data analyst on the PCDC team and will help map data dictionary terms. Other clinical informatics work may be possible, depending on the needs of the PCDC data dictionary team. No programming experience is required. Work hours can be flexible, and all of the tasks can be completed remotely. Estimated hours per week is 5-10, beginning as soon as the position is filled.

    To apply, send an updated resume/CV to Sam Volchenboum (slv@uchicago.edu).

    Undergraduate Research Assistant (RA), Artificial Intelligence for Computer Graphics

    Incoming UChicago CS faculty member Rana Hanocka works on research projects focused on building artificial intelligence for 3D data, spanning the fields of computer graphics, machine learning, and computer vision. Apply via email with 1) a few sentences on why you’re interested in working with Prof. Hanocka, 2) your resume, and 3) a link to your Github profile (if you have one).

    The University of Chicago is an Affirmative Action/Equal Opportunity/Disabled/Veterans Employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national or ethnic origin, age, status as an individual with a disability, protected veteran status, genetic information, or other protected classes under the law. For additional information please see the University’s Notice of Nondiscrimination.

  • Staff

    Preceptor in Data Science

    The University of Chicago’s Data Science Institute, in partnership with the City Colleges of Chicago (CCC), invites applications for the position of University of Chicago (UChicago) Preceptor in Data Science. The UChicago and CCC Preceptorship program will develop the next generation of teaching positions for data science, engineering, and computer science education. This unique program emphasizes STEM pedagogical best practices and allows the preceptors to broaden their classroom skills and enhance their teaching portfolios with the support of UChicago and CCC faculty mentorship.

    This is a staff teaching position in Data Science and Computing with an initial two year appointment and a possible renewal for a third year. The initial appointment is expected to begin August 1, 2022. 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 2 one-quarter courses at UChicago and 2 one-semester courses at CCC per academic year. This position also includes administrative duties and mentoring activities.

    Apply

    Software Engineer, Internet Access & Equity Initiative

    The Internet Access and Equity research initiative at the UChicago Data Science Institute (DSI) is looking for an outstanding candidate with expertise in software engineering, and, ideally, a demonstrated ability applying skills to solve problems at the intersection of data science and social impact.

    Aimed at candidates whose passion lies in developing innovative solutions to real-world data science problems, this position offers the opportunity to lead cutting-edge data science projects applied to IoT, network measurement and performance. Working in collaboration with the Internet Access and Equity research and engineering team, the Software Engineer (SE) will lead the software development for managing and securing a fleet of remote measurement devices, as well as the development of an online portal for research projects. We are on a mission to bridge the digital divide in underserved urban areas at scale; your work will have a direct impact understanding how the Internet performs across communities at the national level.

    Apply

    The University of Chicago is an Affirmative Action/Equal Opportunity/Disabled/Veterans Employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national or ethnic origin, age, status as an individual with a disability, protected veteran status, genetic information, or other protected classes under the law. For additional information please see the University’s Notice of Nondiscrimination.