Tenure-Track Assistant or Tenured Associate Professor Faculty Position in Artificial...

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 incomputer 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. Indiana University is an equal opportunity employer and provider of ADA services and prohibits discrimination in hiring. See Indiana University Notice of Non-Discrimination here which includes contact information. 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 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 Programprepares 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.