Description

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://luddy.indianapolis.iu.edu/about/faculty-openings.html

Application documents:

•        CV
•        Letter of application
•        Research agenda
•        List of references
• Questions 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.

About the Indiana University Luddy School of Informatics, Computing and Engineering – Indianapolis https://luddy.indianapolis.iu.edu/

The IU Luddy School of Informatics, Computing and Engineering is the first completely new school in the U.S. devoted exclusively to Informatics and a range of its subdisciplines. With its formative national role in creating the nation’s largest Informatics Program on the Bloomington and Indianapolis campuses, the school is the broadest and one of the largest information/computing schools in the U.S. At IU Indianapolis, the school has strong ties with the health and life sciences in the areas of health data exchange, clinical decision support, consumer health informatics, integrated health information systems, and interactive health information technologies. The school provides state-of-the-art facilities including fully equipped classrooms, media and gaming labs, human–computer interaction research labs, usability and mobile development labs, ample research facilities, and studios for sound design and interactive media production. Access to advanced, high-resolution wall-sized displays and virtual environments are also available within the Informatics and Communications Technology Complex.

See https://luddy.indianapolis.iu.edu/ for more information about the school, including degrees, course descriptions, plans of study and faculty research.

About Indiana University Indianapolis  https://indianapolis.iu.edu/

The IU Indianapolis campus, with over 21,000 students, is located in downtown Indianapolis. IU Indianapolis is the health and life science campus of IU, the focal point of health profession education in the State of Indiana. IU Indianapolis offers a full range of academic programs, and is an academic leader in the development and use of information technology. The Luddy School in Indianapolis is on the academic Medical Center Campus, home to the Indiana University School of Medicine, the largest medical school in the US. The school has formed key research partnerships with the IU School of Medicine and the Regenstrief Institute, an internationally recognized medical informatics research center. The school also enjoys collaborations with the Roudebush VA Medical Center, IU Health (one of the largest health care organizations in the Midwest), the IU Schools of Nursing, Public Health, Health and Human Sciences, and Science. Luddy School faculty have access to state-of-the art computing resources. IU’s Quartz supercomputer, Big Red 200 is among the world's fastest research supercomputers. Owned and operated solely by IU, these high-performance resources are designed to accelerate discovery in a wide variety of fields, including biomedicine, biotechnology, health care, and enable effective analysis of large, complex biomedical data sets (i.e., big data).

About the Convergent Bioscience and Technology Institute (CBATI) and the Institute of Human Health and Well-Being (H2W) https://indianapolis.iu.edu/research/centers-institutes/

The Convergent Bioscience and Technology Institute (CBATI) drives interdisciplinary bioscience and technology research and collaboration with industry partners in pursuit of discoveries ranging from wearable and implantable medical devices and sensors to the advanced detection of biomarkers and AI-enabled drug discovery and delivery. With a goal of quickly delivering IU health and sciences innovations from the bench to bedside, the institute will aim to stimulate substantial growth in the disclosure and licensing of inventions, discoveries and innovations, as well as industry partnerships and IU-launched startup companies.

The Institute of Human Health and Well-Being (H2W) targets health-focused research that integrates digital technologies to meet community needs and improve health outcomes in Indianapolis. Bringing together faculty, student researchers and thought leaders, H2W addresses key challenges facing human health on an individual and global scale — from using AI and machine learning to detect and monitor obesity and diabetes to pursuing community-engaged research focused on health equity.