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), 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.
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.
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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
Graduate Mentor | Data Science for Social Impact Summer Program 2023
The Data Science Institute (DSI) is seeking current UChicago masters’ students to join the Data Science for Social Impact (DSSI) Summer Program 2023 as mentors.
The DSSI Summer Program is an immersive 7-week data science program that runs from June 12 to July 28, 2023. This program aims to reduce barriers to participating in data science by skill development, social impact project-based learning, and exposure to career pathways. This program is in partnership with Howard University; Morehouse; University of Illinois, Chicago; Fresno State University, North Carolina State University, City Colleges of Chicago; and The University of Texas, San Antonio. Students from all partner schools will be participating in the program.
Benefits of the position include a generous stipend, mentoring experience, networking within the UChicago data science ecosystem, and working as part of a team to broaden participation in data science.
More Info Community Data Fellows
The Data Science Institute at the University of Chicago (DSI) seeks graduate students from a variety of social science and computational backgrounds to serve as Community Data Fellows. Community Data Fellows will 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.
Fellows can expect to work an average of 10 hrs/week (up to 20 hrs/week max) during the Spring ‘23 academic quarter. In certain cases, fellows may also be eligible for full-time opportunities to extend their project work with partner organizations over the summer.
Learn More & Apply Research Engineer – Urban Research Corps
The Mansueto Institute is conducting a project focused on the analysis of social and economic outcomes in American households using data science methods. The project will involve analyzing survey results on a monthly basis that track household experiences across a range of topics including housing security, spending habits, and health patterns. The role will involve maintaining a Python-based pipeline, resolving issues, deploying it on a cloud platform, and creating visualizations. This role will also assist on data tasks related to other projects.
Urban Research Corps (URC), is a data science program in the Mansueto Institute that produces insights about the fundamental processes driving urban change and develops tools to help build more sustainable, equitable, and connected cities. The role is up to 15 hours per week starting Winter Quarter through Spring 2022, with the possibility to extend.
Apply 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.
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Undergraduate
Research Assistant, Internet Equity Initiative
The Internet Equity research initiative at the Data Science Institute (DSI) is looking to hire a part-time research assistant (RA) for a network performance project in collaboration with the Chicago Area Broadband Initiative (CABI). The RA will help our team evaluate CABI’s wireless community network testbed at the Overton Incubator and develop a network health dashboard. The network consists of a point-to-point 60 GHz radio and a few WiFi access points. Our goal is to understand the performance of different network components by analyzing data collected from multiple vantage points.
The ideal candidate would have an interest in developing innovative solutions to bridge the digital divide in urban communities. This position would be for Summer 2022 and based at the University of Chicago. The hourly rate is $16-18/hr for undergraduate RAs and $20-25/hr for graduate RAs, and the start date is by June 13, 2022.
For more information, view the full job posting. To apply, send a resume/CV and a one page cover letter explaining your background and interests in the position to Tarun Mangla.
UChicago Student RA: Annotator/Manual Labeler – Representation of Race and Gender in Education
Anjali Adukia (University of Chicago), Patricia Chiril (University of Chicago), Teodora Szasz (University of Chicago), and Emileigh Harrison (University of Chicago) are looking to hire part-time research assistants for a study on gender and racial bias in education. We are looking for a highly-motivated person who can work efficiently with close attention to detail. The ideal candidate would have been self-motivated and able to work independently.
Responsibilities:
- Labeling text, objects, facial features, and other classifiable elements
- Draw regions of interest for detection purposes
- Communicating and documenting your process to other researchers on the project
- Other responsibilities as they arise
If you are interested, please send your interest, your CV, and an unofficial transcript to Patricia Chiril.
UChicago Student RA: Text Analysis/NLP – Representation of Race and Gender in Education
Anjali Adukia (University of Chicago), Patricia Chiril (University of Chicago), and Emileigh Harrison (University of Chicago) are looking to hire a 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 Spring 2022, with the potential to extend into full-time summer internship. The position would be based at the University of Chicago. Applications will be reviewed on a rolling basis.
Responsibilities:
- Develop, maintain and support text analysis pipelines that include data collection, data management, data analysis and documentation
- Work within a team to implement NLP algorithms, such as contextual word vectors, sentiment analysis, or entity recognition
- Document code and generate results and visualizations
- Perform other duties as assigned
Required Qualifications:
- Proficiency in a scripting language such as Python
- Familiarity with version control software such as GitHub
- Familiarity with Linux systems
Preferred Qualifications:
- Familiarity with one or more Python NLP packages such as NLTK, Gensim, SpaCy, or Textblob
- Experience with Python or R visualization software such as Matplotlib, Seaborn, or ggplot
To apply: Please send a letter of interest to Patricia Chiril 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 to help with image analysis using machine learning in a study on gender and race representation in education. This position would be for Spring 2022, with the potential to extend into a full-time summer internship. The position would be based at the University of Chicago. Applications will be reviewed on a rolling basis.
Responsibilities:
- Develop, maintain and support image analysis pipelines that include data processing, data management, image analysis, and documentation
- Work within a team to implement Machine Learning methods for clustering, classification, and detection
- Document code and generate results and visualizations
- Perform other duties as assigned
Required Qualifications:
- Proficiency in a scripting language such as Python
- Familiarity with version control software such as GitHub
- Familiarity with Linux systems
Preferred Qualifications:
- Familiarity with one or more Python libraries such as OpenCV, Keras, Plotly, and scikit-learn
- Experience with Machine Learning techniques
To apply: Please send a letter of interest to Teodora Szasz with a description of any project you worked on related to image analysis and computer vision, 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.
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Staff
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.
Special Events Manager
Reporting to the Assistant Director of the AI and Science Postdoctoral Program and the DSI Chief of Staff, the Special Events Manager uses advanced techniques for internal and external communications and event management to support the research and educational goals of the DSI, and in particular its AI in Science Postdoctoral Fellowship program. This manager will support events that promote, expand and enhance the research and outreach mission of the DSI, and in particular the AI and Science Postdoctoral Program.
In addition to their role in coordinating and executing internal- and external-facing events at the DSI, the events manager will assist in the creation and delivery of materials to promote the AI in Science Postdoctoral Fellowship program focused on training a generation of domain scientists with deep theoretical and practical understanding of artificial intelligence.
This position will execute meetings and convenings for postdoctoral fellows and relevant faculty, as well as large academic, public and educational events on a regular basis. They will partner with program managers, faculty, fellows and students, and must be able to collaborate effectively with internal and external partners to advance common communication goals and execute academic events.
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 Administrator
The Research Team Administrator 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.