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Pennsylvania State University

Land-grant university in University Park, PA

Applied AI Systems Tenure-line Faculty

Higher Education FacultyConfirmed live in the last 24 hours
Full-timeState College, PA, USANo salary listed

About the Job

Requirements

  • Candidates must demonstrate a record of research accomplishment or strong research potential in the area to which they apply.
  • Candidates must demonstrate an ability to publish in high-quality peer-reviewed venues.
  • Candidates must demonstrate a record of teaching or strong teaching potential in relevant subjects.
  • Candidates must have technical competence in contemporary artificial intelligence technologies and their application.
  • Candidates must possess a 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 the appointment start date.
  • Applicants for the rank of Assistant Professor must demonstrate 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.
  • Candidates seeking the rank of Associate Professor should have a strong record of scholarly achievement, external funding, and demonstrated success in teaching and service.

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.

Desired Qualifications

  • Applicants are particularly welcomed if their research demonstrates interdisciplinary collaboration and addresses significant societal, governmental, or industrial challenges.
  • Physical AI candidates may work on embedded and autonomous systems, robotics, wearables and health-sensing devices, instrumented environments, and the Internet of Things; expertise examples include embedded and on-device machine learning, resource-constrained and real-time computation, sensing and actuation, hardware-software co-design, and edge-cloud system architecture, demonstrated through working systems prototyped, deployed, or evaluated in real environments.
  • Physical AI candidates' systems may address healthcare, smart homes and buildings, manufacturing, transportation, or public services, treating usability or sustainability as engineering requirements; successful candidates will be prepared to build hands-on, project-based curricula in collaboration with industry partners.
  • Enterprise AI candidates may study and teach how AI is engineered, integrated, deployed, governed, or continuously improved in organizational contexts; expertise examples include generative AI and agentic systems in the enterprise, human-AI collaboration and work redesign, AI governance, assurance and risk, and AI integration into business functions such as accounting, finance, human resources, management, marketing, operations, and supply chain.
  • Enterprise AI candidates may work at the intersection of information systems and applied AI, including scholarship engaging enterprise systems, business processes, digital transformation, and organizational computing; particular interest is in candidates who build and evaluate AI-enabled systems in partnership with organizations and are prepared to develop project-based curricula preparing students to deploy and govern AI at scale.

About the Company

Pennsylvania State University

Land-grant university in University Park, PA

Pennsylvania State University is a multi-campus, land-grant public research university whose mission spans undergraduate and graduate education, research, and public service.

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