Applied AI Systems Tenure-line Faculty

Penn State University•University Park, IL

1d•Onsite

About The Position

The Department of Human-Centered Computing and Social Informatics in the College of Information Sciences and Technology (IST) at The Pennsylvania State University invites applications for multiple tenure-line faculty positions in applied AI systems, located in State College, Pennsylvania. The appointments are at the assistant or associate professor rank and begin in August 2027 at the University Park campus. Remote appointments are not permitted for these hires. We seek outstanding scholars in one of two areas: Physical AI or Enterprise AI. Applicants are invited to address the area that fits their work. Physical AI focuses on scholars who design, build, and/or deploy physical AI systems, particularly edge AI and cyber-physical systems, which can sense, reason, and act in the physical world. Enterprise AI focuses on scholars who study and teach how AI is engineered, integrated, deployed, governed, and/or continuously improved in real organizational contexts. We particularly welcome applicants whose research demonstrates interdisciplinary collaboration and addresses significant societal, governmental, or industrial challenges. Candidates will demonstrate a record of research accomplishment or strong research potential, an ability to publish in high-quality peer-reviewed venues, a record of teaching or strong teaching potential, and technical competence in contemporary AI technologies and their application. Candidates will be expected to teach undergraduate and graduate courses; conduct cutting-edge interdisciplinary research; supervise and mentor graduate students; actively pursue external funding to support research activities; engage in service activities at the college and university levels; and collaborate with faculty across the university and with industry partners. Candidates will possess a PhD in a related field before their appointment start date. Applicants for Assistant Professor will demonstrate strong potential for developing a collaborative, interdisciplinary research project and potential to contribute to the college’s teaching mission. Candidates seeking Associate Professor should have a strong record of scholarly achievement, external funding, and demonstrated success in teaching and service.

Requirements

PhD in information sciences, informatics, information systems, computer science, artificial intelligence, human-computer interaction, computer engineering, electrical engineering, business analytics, or a related field before their appointment start date
Record of research accomplishment or strong research potential
Ability to publish in high-quality peer-reviewed venues
Record of teaching or strong teaching potential in relevant subjects
Technical competence in contemporary AI technologies and their application
For Assistant Professor rank: Strong potential for developing a collaborative, interdisciplinary research project that is competitive for external funding and potential to contribute to the college’s teaching mission.
For Associate Professor rank: Strong record of scholarly achievement, external funding, and demonstrated success in teaching and service.

Nice To Haves

Expertise in embedded and on-device machine learning, resource-constrained and real-time computation, sensing and actuation, hardware-software co-design, and/or edge-cloud system architecture (for Physical AI)
Systems that reach domains such as healthcare, smart homes and buildings, manufacturing, transportation, and public services (for Physical AI)
Treating usability and/or sustainability as engineering requirements (for Physical AI)
Expertise in generative AI and agentic systems in the enterprise; human-AI collaboration and the redesign of work; AI governance, assurance, and risk; and/or the integration of AI into core business functions (for Enterprise AI)
Working at the intersection of information systems and applied AI, including those whose scholarship engages enterprise systems, business processes, digital transformation, and organizational computing (for Enterprise AI)
Building and evaluating AI-enabled systems in partnership with organizations (for Enterprise AI)
Research demonstrating interdisciplinary collaboration
Research addressing significant societal, governmental, or industrial challenges

Responsibilities

Teach undergraduate and graduate courses
Conduct cutting-edge interdisciplinary research
Supervise and mentor graduate students
Actively pursue external funding to support research activities
Engage in service activities at the college and university levels
Collaborate with faculty across the university and with industry partners
Build hands-on, project-based curricula in collaboration with industry partners (for Physical AI)
Develop project-based curricula that prepare students to deploy and govern AI at scale (for Enterprise AI)