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Computing Research Association

Assistant/Associate/Full Professor of Computer Science Luddy School of Informati

Computing Research Association, Indianapolis, Indiana, us, 46262


The Indiana University Luddy School of Informatics, Computing and Engineering at IU Indianapolis invites applications for multiple open rank tenured or tenure-track assistant, associate or full professor positions in computer science. Appointments will begin August 1, 2025 on the Indianapolis campus. Candidates must demonstrate an outstanding scholarly record of research, exhibited by high-impact peer-reviewed publications and a forward-looking, externally funded research agenda as Principal Investigator (PI).

Research expertise in the following areas of computer science will be considered: Fundamentals of Artificial Intelligence and Machine Learning, Robotics, Computer Vision, Cyber security, Cyberphysical Systems, and Quantum Computing. Candidates with experience in applications to biomedical and health sciences are strongly encouraged to apply.

As the state’s premier urban research institution, IU Indianapolis is committed to being a welcoming and inclusive campus community. We seek candidates who will pursue the highest standards of academic excellence and whose research, teaching, and community engagement efforts contribute to welcoming, respectful, and inclusive learning and working environments for our students, staff, and faculty.

To ensure full consideration, please submit your application materials by January 2, 2025. However, the positions will remain open until filled.

How to apply:

https://indiana.peopleadmin.com/postings/25734

Application documents:

CV

Letter of application

Research agenda

List of references

Questions pertaining to this position can be directed to Lisa Battiato, Assistant to the Dept Chair, lbattia(at)iu.edu

Qualifications:

Ph.D. in Computer Science or related discipline. Applicants must complete their degree before the starting date of the appointment.

Demonstrated ability to teach effectively in-person, online, or in blended learning for general computer science courses.

A record of outstanding research productivity and impact in any of the above-mentioned areas, or a demonstrated ability to develop one. The demonstrated ability or potential to secure external funding is required.

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