Tenure-Track Assistant or Tenured Associate Professor Faculty Position in Artificial Intelligence and Industrial Experiments

Indiana University; Bloomington (IN); On-site; USD 110,000 - 180,000; Full time

Job summary

Indiana University Bloomington invites applications for a tenure-track assistant or tenured associate professor in the Luddy School of Informatics, Computing, and Engineering, focusing on AI and Industrial Experiments. Candidates will contribute to research, teaching, and service, with emphasis on interdisciplinary collaboration and industry partnerships.

Start date August 1, 2027, with applications due November 1, 2026; positions located on campus, requiring a PhD in CS/engineering/data

Qualifications

• PhD in computer science, engineering, data science, or AI with strong scholarship.
• Record of publications, external funding potential, and leadership in sizeable initiatives.

Responsibilities

• Develop and maintain a robust research portfolio with external funding.
• Teach undergraduate and graduate courses as designated by chair.
• Engage in service and collaboration with industry partners.

Skills

Machine learning

Agentic AI

Edge AI

AI safety

Education

PhD in computer science, engineering, data science, or AI

Job description

Tenure-Track Assistant or Tenured Associate Professor Faculty Position in Artificial Intelligence and Industrial Experiments

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Indiana University Bloomington ( IUB ) invites applications for one tenure-track assistant or associate professor in theLuddy School of Informatics, Computing, and Engineering in the field of AI and Industrial Experiments. We seek candidates to join IU’s outstanding Computing and Engineering research program to lead research in areas such as machine learning, agentic AI, edge AI, physical AI and AI safety.

We encourage applications from scholars who apply interdisciplinary perspectives and share important research overlap with current IUB scholars while also offering new dimensions that will expand and strengthen the Luddy School’s research program.

These 10‐month appointments would ideally start August 1, 2027, although an earlier or later start date is negotiable. Applications received by November 1, 2026, will receive full consideration, and applications will be accepted until the positions are filled.

Responsibilities: Tenured/tenure-track faculty at Indiana University Bloomington are expected to substantially contribute to the overall academic excellence of their department by developing and/or maintaining a robust research portfolio including pursuing and obtaining major extramural research funding to conduct cutting‑edge research both as a corresponding principal investigator and a collaborating investigator; teaching and mentoring undergraduate and/or graduate students as designated by the department chairperson; and actively providing service within the department, school and university alongside active engagement with the profession and/or the community. We invite applications from candidates whose research advances the foundations and frontiers of artificial intelligence and its translation into industrial practice. Candidates with special interest in the following areas are encouraged to apply:

• machine learning methods underpinning foundation models;
• agentic AI and AI‑based model orchestration;
• edge AI and resource‑constrained deployment;
• physical and embodied AI, including industrial control, and cyber‑physical systems; and trustworthy AI, covering safety, robustness, privacy, and alignment.

We welcome work that spans theory, methodology, and real‑world experimentation, particularly research validated through industrial‑scale systems, datasets, or testbeds. Candidates with experience in industry, or with a demonstrated record of collaboration with industrial partners on applied AI problems, are especially encouraged to apply, as are those whose work bridges academic inquiry with the operational demands of deployed AI systems.

These positions are located on the campus of Indiana University, Bloomington ( IUB ) in Bloomington, Indiana, and successful candidates are expected to work on the IUB campus to allow full engagement with the department, school, campus, and community. Indiana University bases its tenure and promotion recommendations upon performance in three areas including research, teaching, and service. All individuals hired through this initiative are expected to excel in research and provide strong performance in teaching and service.

Minimum Qualifications: Applicants should possess a PhD in computer science, engineering, data science, or AI (or a related field) and be committed to excellence in scholarship and teaching at the undergraduate and graduate level.

Candidates considered for appointment with tenure must demonstrate a record of scholarly achievement appropriate to such an appointment, including extramurally funded research as a corresponding principal investigator, current funding or strong potential to secure external funding, established record of publications and scholarly work, and experience leading sizeable research initiatives.

Before a conditional offer of employment with tenure is finalized, candidates will be asked to disclose any pending investigations or previous findings of sexual or professional misconduct. They will also be required to authorize an inquiry by Indiana University Bloomington with all current and former employers along these lines. The relevance of information disclosed or ascertained in the context of this process to a candidate’s eligibility for hire will be evaluated by Indiana University Bloomington on a case‑by‑case basis. Applicants should be aware, however, that Indiana University Bloomington takes the matters of sexual and professional misconduct very seriously.

About Indiana University Bloomington: Founded in 1820, Indiana University‑Bloomington ( IUB ) is the flagship campus of Indiana University. Located in Bloomington, IN., IUB constantly strives to embody its mission to create, disseminate, preserve, and apply knowledge. It does so through its commitments to cutting‑edge research, scholarship, arts, and creative activity; inspired and challenging undergraduate, graduate, professional, and lifelong educational programs; meaningful experiences outside the classroom; expansive global educational opportunities; first‑rate library and museum collections; and far-reaching economic development and impact in the state and region.

IUB is a member of the prestigious Association of American Universities ( AAU ) since 1909, is accredited by the Higher Learning Commission and is a member of the North Central Association. With over 47,000 undergraduate and graduate students, the campus has 16 degree‑granting colleges and schools offering 300+ undergraduate majors, 300+ Master’s degrees, and 150+ doctoral and professional degree opportunities. Known for its Indiana limestone facades and green spaces throughout, IUB is widely considered one of the country’s most beautiful college campuses.

The Luddy School of Informatics, Computing, and Engineering at Indiana University Bloomington is a nationally recognized leader in computing, artificial intelligence, data science, information technology, and engineering education and research. As one of the largest and most comprehensive schools of its kind in the United States, Luddy brings together distinguished faculty, innovative researchers, and talented students in a collaborative environment dedicated to advancing discovery and addressing complex societal challenges through data‑driven and computational approaches.
The School’s interdisciplinary Data Science Program prepares students to excel in a rapidly evolving landscape shaped by artificial intelligence and advanced analytics through rigorous training in statistics, machine learning, AI, data management, and data visualization. Supported by a vibrant research ecosystem that spans AI, intelligent systems, health informatics, cybersecurity, and computational science, the program equips graduates with the technical expertise, ethical foundation, and collaborative skills needed to transform complex data into actionable insights and innovative solutions across academia, industry, government, and the nonprofit sector.

For Best Consideration Date 11/01/2026

Expected Start Date 08/01/2027

Supplemental Questions

Required fields are indicated with an asterisk (*).

• * Have you previously been employed with IU?
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• How did you hear about this position?
  • Personal Contact: At Professional Meeting or Conference
  • Personal Contact: Direct Contact by Search Committee
  • Personal Contact: Referred by colleague or advisor
  • Announcement: Chronicle of Higher Education
  • Announcement: IU Bulletin for Academic Appointees
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