Jobs & Opportunities
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Faculty
Professor, Data Science
The University of Chicago invites applications for tenured faculty positions at the rank of Professor in the area of Data Science. Appointments may be made in either the Department of Computer Science or the Department of Statistics, jointly between Statistics and Computer Science, or jointly with another department in the University.
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. The Data Science Institute focuses on research that advances fundamental theories at the intersection of data science, artificial intelligence, statistics, and computing in the context of real world and domain-specific problems. The larger data science community at the University of Chicago includes the Toyota Technological Institute at Chicago (TTIC), the Polsky Center for Entrepreneurship and Innovation, and Argonne National Laboratory.
Members of the faculty are expected to lead research programs that will produce significant contributions to a field, and teach and mentor at the undergraduate and graduate levels.
Apply 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. Appointments may be made in either the Department of Computer Science or the Department of Statistics, jointly between Statistics and Computer Science, or jointly with another department in the University.
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. The Data Science Institute focuses on research that advances fundamental theories at the intersection of data science, artificial intelligence, statistics, and computing in the context of real world and domain-specific problems. The larger data science community at the University of Chicago includes the Toyota Technological Institute at Chicago (TTIC), the Polsky Center for Entrepreneurship and Innovation, and Argonne National Laboratory.
Members of the faculty are expected to lead research programs that will produce significant contributions to a field, and teach and mentor at the undergraduate and graduate levels.
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. Appointments may be made in either the Department of Computer Science or the Department of Statistics, jointly between Statistics and Computer Science, or jointly with another department in the University.
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. The Data Science Institute focuses on research that advances fundamental theories at the intersection of data science, artificial intelligence, statistics, and computing in the context of real world and domain-specific problems. The larger data science community at the University of Chicago includes the Toyota Technological Institute at Chicago (TTIC), the Polsky Center for Entrepreneurship and Innovation, and Argonne National Laboratory.
Members of the faculty are expected to lead research programs that will produce significant contributions to a field, and teach and mentor at the undergraduate and graduate levels.
Apply Instructional Professor (open rank) in Data Science
The Data Science Institute at 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, 2023.
Position responsibilities include teaching, ongoing professional development, and non-classroom instructional or service duties as needed.
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.
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Postdoctoral
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) Data Science Preceptorship. 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 and scholarship portfolios with the support of UChicago and CCC faculty mentorship.
The initial appointment is expected to begin August 1, 2023. 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 structured professional development, administrative duties, scholarship activities and student mentoring activities.
Data Science Institute Postdoctoral Scholars Program
The Data Science Institute (DSI) at the University of Chicago invites applications for Postdoctoral Scholars who wish to advance cutting-edge data science approaches, methods, and applications in research. The Data Science Institute (DSI) executes the University of Chicago’s bold, innovative vision of Data Science as a new discipline by advancing foundational and interdisciplinary research, partnerships with industry, government, and social impact organizations, and holistic approach to data science education.
This unique program provides postdocs with the opportunity to pursue original research on significant questions in data science. Drawing on the University of Chicago’s top-ranked programs, world-renowned faculty, as well as a vibrant and quickly expanding data science ecosystem, this program will allow postdoctoral scholars to engage in field-defining data science and artificial intelligence research. Our positions carry a competitive salary, generous research funding allowances, and benefits. It is equally important that our postdocs work and grow in an environment that is supportive and focused on community and career development; as such, this program includes lectures focused on communication and workplace culture, and aims to develop a diverse cohort of well-rounded scholars pursuing careers across data science disciplines.
The Eric and Wendy Schmidt AI in Science Postdoctoral Fellowship, a program of Schmidt Futures
The University of Chicago invites applications for a new Eric and Wendy Schmidt AI in Science Postdoctoral Fellowship program that will train scholars who seek to advance and accelerate the adoption of artificial intelligence in the natural sciences and engineering. This UChicago fellowship is part of a major initiative funded by Schmidt Futures which aims to launch the next frontier of scientific discovery through AI, and is recruiting those who have completed a Ph.D. in the natural or mathematical sciences, engineering or a related field before the start of their fellowship and no earlier than 2018. Applications are now available for the initial cohort starting Jan. 1, 2023, and a second cohort starting in September 2023. You can read more about the program in a recent article here.
Postdoctoral Scholar, Data & Democracy Research Initiative
The University of Chicago is seeking Postdoctoral Scholars focused on the intersection of democracy and data science. The postdoctoral scholar will be part of the new Data & Democracy research initiative, a major interdisciplinary collaboration jointly led by the University of Chicago Data Science Institute (DSI) and the Center for Effective Government (CEG).
The Data & Democracy research initiative is a unique collaboration between computer scientists, statisticians and political scientists to better understand democracy in the digital age. This initiative will investigate critical questions concerning the impact of misinformation on effective government, how online communication translates into offline political behavior, and the implications of the consolidation of online media platforms for free speech. We invite researchers to join this initiative to spearhead new interdisciplinary research projects as part of a growing community of scholars.
Postdoctoral Scholar on Artificial Intelligence Alignment
We’re seeking postdoctoral researchers to work on Artificial Intelligence alignment: the problem of ensuring that future AI systems will be beneficial. We are particularly interested in developing foundational understanding of how large pretrained models (e.g., large language models) represent and manipulate concepts and world knowledge. The researchers will be advised by (some combination of) prof. Victor Veitch, prof. David McAllester, and/or prof. Chenhao Tan, depending on postdoc preference and fit. Candidates should have a strong interest in representation learning, natural language understanding, explainability, or modern deep learning. Candidates should have a PhD in machine learning, computer science, statistics, or a similar field.
Contact alignment.postdoc.uchicago@gmail.com if interested. Applications will be reviewed on a rolling basis, with an ideal start date in early 2023.
Postdoctoral Scholar in Machine Learning Foundations
The University of Chicago is seeking candidates for postdoctoral research on machine learning foundations. Postdoctoral scholars will lead interdisciplinary research projects and collaborations in machine learning methods that incorporate physical models and constraints, providing additional robustness and reduced sample complexity. Scholars will create new methods that draw upon methods and insights from multiple fields, including inverse problems, data assimilation, optimization, and statistics, and explore applications in climate science, biomedical imaging, and remote sensing. In addition to competitive salary and benefits, the fellowship also includes funding for independent travel to workshops, conferences and other universities and research labs. Interested applicants should contact Rebecca Willett with a CV, research statement, and letter of reference.
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.
Apply 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.
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.
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Graduate
Summer Community Data Fellows
The Data Science Institute (DSI) is seeking current UChicago masters’ students to serve as Community Data Fellows and specifically to assist in developing code and analyses to present, contextualize and visualize information about the occurrence of workplace injuries. Part of this project may entail leveraging NLP techniques to solve entity resolution problems. This project, done in conjunction with a San Francisco Bay Area-based news organization, will leverage Python, Django and web-based visualization libraries.
Community Data Fellows provide assistance to local and national nonprofit and civic organizations to help address data capacity and project needs. This unique opportunity is aimed at students passionate about developing innovative solutions to real-world data problems.
Graduate Lab Coordinator – Data Science Institute Summer Lab
The Data Science Institute is seeking current UChicago PhD and master’s students from computer science and statistics to join the DSI Summer Lab team as Graduate Lab Coordinators for the 2023 program.
The DSI Summer Lab is an immersive 10-week summer research program at the University of Chicago focused on broadening participation in data science among high school and undergraduate students. This program aims to reduce barriers to participating in computing by skill development, exposure to careers pathways, and mentorships. The program includes roughly 25 students, paired with data science mentors spanning departments across campus.
Benefits of the position include mentoring experience, networking within the UChicago data science ecosystem, and working as part of a team to broaden participation in data science and computer science.
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.
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Undergraduate
Student Residential Assistant (RA) | DSI Summer Lab 2023
The Data Science Institute is seeking a current UChicago student (College or graduate) aged 21 and over to join the DSI Summer Lab team as a Student Residential Assistant (RA) for the summer 2023 program.
The DSI Summer Lab is an immersive 10-week summer research program at the University of Chicago focused on broadening participation in data science among high school and undergraduate students. This program aims to reduce barriers to participating in computing by skill development, exposure to careers pathways, and mentorship. The program includes roughly 25 students, paired with data science mentors spanning departments across campus.
The DSI Summer Lab is offering on-campus housing to all program participants and a Student Residential Assistant is needed to oversee residential life and provide supervision of the high school students residing in on-campus housing as well as manage the range of medical and disciplinary incidents that may arise.
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.
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Staff
Director of Communications
Reporting to the Senior Director of Outreach and Chief of Staff, the Director of Communications leads efforts to highlight groundbreaking research and educational programs in data science, expanding the Data Science Institute’s (DSI) visibility and continuing to develop the brand and reputation of the Institute. Oversees the development and optimization of internal and external communication mechanisms and infrastructure within DSI to improve capabilities and brand alignment across a variety of programs, events, initiatives, and teams. Executes a strategic plan that incorporates all DSI programming and ensures goals align across distinct areas.
Director for Research Programs & Strategy
The Director for Research Programs & Strategy will work collaboratively with the DSI Faculty Director of Research and Faculty Director of AI to sharpen the DSI’s research vision and build strong relationships with scholars, scientists and faculty/staff and to grow the DSI’s research portfolio. The Director will oversee a group of research professionals who are responsible for targeted research and programmatic activities and work with the team to sustain, implement, and disseminate research.
The Director of Research Programs & Strategy will focus on positioning the DSI to become a global data science research hub by securing large-scale external funding, building strong university-wide partnerships, and increasing global visibility through high impact programs. The DSI research pillar will also enhance and integrate with the education and outreach activities of the organization.
Open Source Software Engineer
Reporting to the Executive Director of the Data Science Institute, the Open Source Software Engineer (OSSE) will support the development of code and open source software that assists in the execution of research priorities of the institute, its faculty, fellows and graduate students. They will collaborate with the rest of the Engineering Team to support and engage with interdisciplinary research groups across the University of Chicago to determine requirements, iterate on architectural specifications, and produce robust and scalable systems that meet identified needs in computer, mathematical, and natural science data-based research. The Software Engineer will perform a variety of activities related to analysis, design, development, debugging, and modification of computer code for software and configuration management. Some amount of time in this role will allow for development of the applicant’s own open source software contributions, research and non-assigned software projects to advance their career, knowledge, and stay aware of and engaged with emerging technologies and trends in the open source software community.
A portion of this role will directly support the AI and Science Postdoctoral Program and PI/faculty collaborators on this program, which is focused on training a generation of domain scientists with deep theoretical and practical understanding of artificial intelligence. Interest in and understanding of machine learning and artificial intelligence is preferred in candidates applying for this position.
Research Team Coordinator
The Research Team Coordinator provides managerial and administrative oversight of the Data Science Institute’s research programs and grants. The incumbent performs a range of professional activities in support of research initiatives, seed funding, undergraduate research programs, postdoctoral scholar’s programs and DSI faculty research grant support. Reporting to the DSI Director of Research Programs and Strategy, the Research Program Admin works to meet the needs of the DSI to ensure effective and efficient operations and advance DSI research and postdoctoral programs. This position provides professional support for grant administration, purchasing, procurement, program operations and planning, and academic events and activities.
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.