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  • Faculty

    Senior Instructional Professor (Open Rank), Data Science

    The Data Science Institute and the Physical Sciences Division invite applications for a Senior Instructional Professor position to lead the Data Science Clinic. The selected candidate(s) will be appointed as Senior Instructional Professor or Associate Senior Instructional Professor with rank determined by qualifications and years of experience in a similar role. The appointment will be for a term of up to five years, renewable. This is a career-track position with competitive salary and benefits. Start date is expected to be August 1, 2022.

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    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.

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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.

  • 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 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.

    Data Science Institute 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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    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.

    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.

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    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

    Director for Research Programs & Strategy

    The Data Science Institute (DSI) is seeking a highly experienced Director for Research Programs & Strategy to lead the DSI’s research and evaluation efforts across all programmatic areas. The Director for Research Programs & Strategy reports directly to the Executive Director, and manages the DSI’s strategic research programs.

    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.

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    Data Scientist, Data Science Modular Social Impact Education Program

    The UChicago Data Science Institute is looking for an outstanding candidate with expertise in one or more areas related to data science (machine learning, statistics, etc.), and demonstrated experience in software engineering. Aimed at candidates whose passion lies in developing innovative solutions to real-world data science problems in multiple domains, this position offers the opportunity to lead machine learning and data science projects applied to high impact social challenges. This role is part of the UChicago Modular Social Impact Data Science Curriculum grant through the Community Accelerator Network (CAN) at data.org. Grant partners include UChicago, Howard, Fresno State, North Carolina State, University of Texas at San Antonio, City Colleges of Chicago, Morehouse, and University of Illinois at Chicago. The role will be located within the DSI at UChicago.

    The Data Scientist will work in collaboration with UChicago DSI faculty, staff and the CAN grant partners. The DS will consult on social impact and nonprofit organization data collection and modeling as well as the long-range goals of developing open source curriculum resources, and other activities designed to advance the research and practice of data intensive discovery.

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    Project Manager, Data Science Modular Social Impact Education Program

    The Data Science Institute (DSI) is seeking to hire a Project Manager for the Data Science Modular Social Impact Education Program funded through a grant for the Capacity Accelerator Network (CAN) at data.org. In coordination with DSI leadership, the Project Manager will lead the program in several key functions, including educational programs and initiatives, and overseeing the operational infrastructure.

    The Project Manager will work directly with the Director of Outreach and Operations and Executive Director of the Data Science Institute to support the CAN network partners (Howard, Morehouse, Fresno State, North Carolina State, University of Texas at San Antonio, University of Illinois at Chicago and City Colleges of Chicago) on grant activities. In addition, this position will assist DSI communication staff and network partners to market information related to grant deliverables. The job coordinates non-technical (not information technology or construction related) projects from conception to completion. Assists with the assembly of teams and the development of detailed work plans, schedules, project estimates, resource plans, and status reports using straightforward problem solving skills.

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    Communications and Events Specialist

    The Communications and Events Specialist oversees all internal and external events for the Data Science Institute, as well as event-related communications. The Specialist is responsible for the preparation, management, and follow up to events; they will also need to be proactive and creative, thinking about opportunities for innovative events and campus engagement, including identifying opportunities to partner with other University units on shared events, and/or other unit events the Institute might sponsor. The Communications and Events Specialist will also be responsible for social media promoting events, coordination with A/V staff on event broadcasting and archiving, and for writing articles recapping events.

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    Software Engineer Manager, Internet Access & Equity Initiative

    As a Software Engineer Manager (SEM), you will lead a team of software and data engineers responsible for advancing cutting-edge data science research. The SEM will act as the lead engineer on industry, NSF, and DARPA-funded projects focused on network security, Internet measurement, and the development of research measurement testbeds. The SEM will oversee a team that provides infrastructure, development, and operational support– particularly software systems development and support for data science projects on campus.

    This role will be part of the Internet Access and Equity research initiative at the UChicago Data Science Institute, which is focused on developing solutions at the intersection of data science, civic technology, public policy, and research.

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    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.

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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.