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  • Postdoc Opportunities

    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 University of Chicago Center for Data and Computing. 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 the Center for Data and Computing (CDAC). 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.

    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.

  • Staff Opportunities

    Communications and Events Specialist

    The Data Science Initiative at the University of Chicago seeks a talented and motivated person to oversee internal and external events and 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 Initiative 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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    Technical Project Manager, Internet Access & Equity Initiative

    The University of Chicago Center for Data and Computing (CDAC) is seeking a Technical Project Manager to work closely with the Internet Access & Equity Initiative project team. The Internet Access & Equity Initiative is a major interdisciplinary research project focused on addressing the issue of internet access by using data science to help communities and stakeholders to better assess the quality and accessibility of broadband. The Technical Project Manager will work with the project PI and team to drive the project forward, coordinate with external project partners, and ensure critical milestones are completed.

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    Assistant Clinic Director, Data Science

    The University of Chicago Data Science Initiative is looking for an outstanding candidate to contribute to the success of the Civic Data & Technology Clinic program. The Clinic is an experiential learning setting for data science students to engage real-world data science problems. The position is aimed at candidates whose passion lies in developing innovative solutions to real-world data science problems, and offers the opportunity to develop projects in partnership with social impact organizations, government, industry and research groups.

    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.

  • Undergraduate Opportunities

    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).

    Undergraduate Research Assistant (RA), Urban Digital Divide – Data Visualization Portal

    The University of Chicago Center for Data and Computing (CDAC) seeks an undergraduate research assistant (RA) to work closely with the Mapping and Mitigating the Urban Digital Divide project team. The Urban Digital Divide project is a major interdisciplinary data science research initiative focused on addressing the issue of internet access by using data science to help communities better assess the quality and accessibility of broadband internet.

    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.