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Internship Computer Science Postdoc Jobs in Evanston, IL

Postdoctoral Scholar

Evanston, IL · On-site

$60K - $62.23K/yr

This postdoc will work on research projects across several NIH-funded research projects, focused on ... PhD in communication sciences and disorders, psychology, linguistics, neuroscience, computer ...

Hire, mentor and manage software engineers and interns from the Computer Science department Coordinate development projects across distributed teams Actively engage with our R&D group to explore new ...

Hire, mentor and manage software engineers and interns from the Computer Science department Coordinate development projects across distributed teams Actively engage with our R&D group to explore new ...

... Computer Science, or another hard science Preference for students who have completed at least 3 years of academic coursework by internship start * Experience with hands-on lab testing and technical ...

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Internship Computer Science Postdoc information

What is the difference between Internship Computer Science Postdoc vs Research Scientist?

AspectInternship Computer Science PostdocResearch Scientist
Required credentialsTypically PhD or nearing completion in Computer SciencePhD in Computer Science or related field
Work environmentAcademic labs, universities, research institutionsResearch labs, industry R&D departments, universities
Employer and industry usagePrimarily academic and research institutionsIndustry companies, government agencies, academia
Common search and comparison intentUnderstanding early career research rolesExploring advanced research positions in industry or academia

Internship Computer Science Postdocs are typically short-term research positions for PhD candidates or recent graduates, mainly in academic settings. Research Scientists usually hold PhDs and work in industry or research labs, focusing on applied or fundamental research. While both roles involve research, internships are entry-level and temporary, whereas Research Scientists are more permanent and senior roles.

What are the most commonly searched types of Computer Science Postdoc jobs in Evanston, IL? The most popular types of Computer Science Postdoc jobs in Evanston, IL are:
What cities near Evanston, IL are hiring for Internship Computer Science Postdoc jobs? Cities near Evanston, IL with the most Internship Computer Science Postdoc job openings:
Associate Professor of Data Science

Associate Professor of Data Science

The University of Chicago

Chicago, IL • On-site

$60.80K - $61.30K/yr

Full-time

Medical, Retirement, PTO

Posted 7 days ago


University Of Chicago rating

8.2

Company rating: 8.2 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

107th of 530 rated colleges and universities


Job description

Description
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 and AI, including new academic programs at the undergraduate and graduate levels and new cross-disciplinary research programs. The Data Science Institute (datascience.uchicago.edu) is a collaboration among the Department of Computer Science (cs.uchicago.edu), the Department of Statistics (stat.uchicago.edu), and other units on campus. Topics of interest include foundations and applications of artificial intelligence, machine learning, large language models, scientific AI and machine learning, data ethics and privacy, data visualization, societal impact of data and AI, safe and trustworthy AI, data engineering, scalable data systems, and high-dimensional statistical inference. 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 Committee on Data Science(codas.uchicago.edu) is the home of data science education programs. The larger data science community at the University of Chicago includes the Committee on Computational and Applied Mathematics (cam.uchicago.edu), the Toyota Technological Institute at Chicago (TTIC), the Polsky Center for Entrepreneurship and Innovation, Fermilab, 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.
This position is benefits-eligible. The University of Chicago offers a wide range of benefits programs and resources for eligible employees, including health, retirement, and paid time off. Information about the benefit offerings can be found in the Benefits Guidebook.
Qualifications
Required: A PhD in Data Science, AI, Statistics, Computer Science, Applied Mathematics, or related field. Candidates must have evidence of leadership in their field, successful independent research, and a demonstrated track record of mentoring PhD students and/or postdoctoral researchers.
Application Instructions
Applications must be submitted online through the University of Chicago's Academic Jobs website: https://apply.interfolio.com/174768.
Review of applications will begin on October 26, 2025, and will continue until all positions are filled.
The following materials are required:
• cover letter;
• curriculum vitae, including a list of publications;
• statement describing past and current research accomplishments and outlining future research plans; and
• description of teaching and mentoring philosophy and experience.
The following materials may be requested:
• up to three publications and
• names of three or more people who can provide confidential letters of recommendation.

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