Endowed Chair in AI Research & Innovation

Texas State University

Texas

On-site

USD 180,000 - 260,000

Full time

14 days+

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Job summary

Texas State University invites applications for an endowed chair at the rank of Professor to advance research in Artificial Intelligence. The position aims to establish leadership in AI and complement strengths in interdisciplinary AI applications, ML, and related areas.

The candidate will join TXST CADS and contribute to a vibrant AI research community. The appointment emphasizes building a research program with external funding, teaching AI courses, mentoring students, and serving the

Qualifications

  • Experience in securing external funding and coordinating interdisciplinary grants.
  • Track record of conducting and publishing original AI research.
  • Ability to lead collaboration across university disciplines.
  • Plans to develop and maintain an active AI research agenda.

Responsibilities

  • Seek external funding and coordinate interdisciplinary grants with collaborators.
  • Conduct and publish original research on Artificial Intelligence.
  • Lead interdisciplinary collaboration with faculty across the university.
  • Develop and maintain an active research agenda.
  • Teach undergraduate and graduate courses on Artificial Intelligence and related subjects.
  • Mentor and advise students and contribute to AI curriculum development.
  • Participate in service activities at department, college, and university levels.

Skills

AI Systems
AI Ethics
AI Across Disciplines
AI in Healthcare
AI in Law

Job description

Texas State University seeks applications for an endowed chair at the rank of Professor to conduct research on any aspect of Artificial Intelligence. Texas State University seeks to establish a leadership position in Artificial Intelligence to complement existing research strengths in interdisciplinary applications of AI, interdisciplinary applications of AI, machine learning, computer vision, efficiency and responsible-use research. Texas State is also home to the Center for Analytics and Data Science (TXST CADS), an interdisciplinary hub for data-intensive research, education and outreach. Texas State University hosted a town hall on January 29 to discuss areas of impact for hiring in Artificial Intelligence research and to bring together the dynamic Artificial Intelligence research community.

Texas State University receives a full share of the Texas University Fund (TUF) and plans to invest funds in recruitment and substantial start-up support for strategic hires with established research programs and active external funding in historic and emerging areas of research strength, including Artificial Intelligence.

We Seek To Hire Dynamic And Innovative Scholars With An Exceptionally Strong Research Record Supported By External Funding. An Applicant’s Scholarly Focus Should Complement And Enhance The Artificial Intelligence Scholarship And Teaching Strengths Of Texas State, Such As

  • AI Systems and Infrastructure.
  • AI Ethics, Policy and Governance.
  • AI Across the Disciplines.
  • AI in Healthcare and Medicine.
  • AI in Communication and Digital Media.
  • AI in Supply Chain and Logistics.
  • AI in Manufacturing.
  • AI in Environmental and Sustainability Applications.
  • AI in Law and Criminal Justice.

Responsibilities

  • Seek external funding and coordinate interdisciplinary grants with both internal and external collaborators.
  • Conduct and publish original research on Artificial Intelligence.
  • Lead interdisciplinary collaboration with faculty across the university.
  • Develop and maintain an active research agenda.
  • Teach undergraduate and graduate courses on Artificial Intelligence and related subjects.
  • Mentor and advise students.
  • Contribute to the development of the Artificial Intelligence curriculum.
  • Participate in service activities at the department, college, and university levels.

The successful candidate will join the department(s) appropriate to their area of scholarly focus. The successful candidate will be expected to bring a research group supported by existing external grants and have the opportunity to negotiate additional hires in related areas to support their research.

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