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  • Faculty

    Additional faculty positions will be open soon. Please write to data-science@uchicago.edu if you have any questions or to express interest.

    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

    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.

    More Info

    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.

  • Graduate

    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.

    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.

  • 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: 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: 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.

  • Staff

    Systems Administrator, Data Science Institute

    Techstaff is the front line of defense for computer security and oversees all systems engineering/administration needs in the Data Science Institute and Computer Science Department. The Systems Administrator will work in collaboration with other members of Techstaff to serve as the primary technical resource for Data Science Institute faculty, staff and students. We are looking for an enthusiastic computer systems administrator to join our experienced team. The Systems Administrator will learn our site’s utilities and infrastructure, gather data from users, and respond to requests from senior members of our team.

    The Systems Administrator will assist the technical team with all aspects of systems management. In addition to the opportunity to work on distributed and high-performance computing (HPC) systems, in this role you will work independently to install, configure, and maintain operating systems, use best practices and systems knowledge to monitor and alert systems, utility software, and firewalls, as well as guide maintenance for production Windows and Linux servers.

    Apply

    Community Project Manager, Internet Equity Initiative

    The Community Project Manager, in collaboration with the faculty project leads, will be responsible for supporting successful execution of the Internet Equity Initiative’s objectives, particularly in the area of integrating research and community collaboration tasks. The Internet Equity Project is a major interdisciplinary research initiative effort focused on assessing the quality and accessibility of existing broadband infrastructure, piloting alternative broadband provision solutions, and examining the emergence of new governance arrangements to build broadband equity. The Project Manager will work closely with an interdisciplinary team of researchers and staff at The Crown Family School, the Computer Science Department, and the Data Science Institute (DSI) with primary responsibility for developing and maintaining relationships with City and neighborhood-based collaborators, such as community-based organizations, civic groups, and other neighborhood stakeholders. Additionally, the Project Manager will work collaboratively with the project team to address areas of shared concern and responsibility.

    Apply

    Director, Internet Equity Initiative

    The Internet Equity Initiative (IEI) at the University of Chicago is a new interdisciplinary research Initiative at the Data Science Institute (DSI). The IEI brings together the expertise of multiple disciplines (computer science, social science, healthcare, education, public policy) to develop technical and policy solutions to Internet and data equity challenges at a global scale. It draws on the intellectual and entrepreneurial spirit of top universities, industry, and nonprofits to bring breakthrough social and economic changes through groundbreaking research, scholarship, education, outreach, technology innovation, and training.

    The IEI Director will work closely with the DSI Executive Director, faculty directors and Director of Research Programs & Strategy to lead this new Initiative within DSI. The IEI Director will build relationships with agencies and organizations working in the sector. This includes high-level partnership building, research project development and management, financial and grant management, and program and donor development. The position requires strong experience working in strategic research development, fundraising, and technical project management. The initiative seeks a highly dynamic and analytical individual who can build relationships and excel in a diverse set of responsibilities from working with partners to developing and implementing research strategy to translating academic research into policy recommendations and implementation.

    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.