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Tulane University
New Orleans, Louisiana, United States
(on-site)
Posted
30+ days ago
Tulane University
New Orleans, Louisiana, United States
(on-site)
Job Function
Academic Faculty
Senior Faculty Position, The Mark D. Wheeler Chair in Artificial Intelligence, Computer Science
The insights provided are generated by AI and may contain inaccuracies. Please independently verify any critical information before relying on it.
Senior Faculty Position, The Mark D. Wheeler Chair in Artificial Intelligence, Computer Science
The insights provided are generated by AI and may contain inaccuracies. Please independently verify any critical information before relying on it.
Description
DescriptionMark D. Wheeler Endowed Chair in Artificial Intelligence
The Department of Computer Science at Tulane University invites distinguished applicants for the Mark D. Wheeler Endowed Chair in Artificial Intelligence. Our collaborative department boasts globally recognized faculty in machine learning, computer vision, natural language processing, and data science. In addition to significant support from NSF, NIH, and DoD, AI research at Tulane is further enriched by interdisciplinary centers and institutes that foster innovation across the university, including collaborations with the Schools of Medicine and Public Health. For more information, please visit our department website.
We seek a senior scholar conducting pioneering, interdisciplinary research in artificial intelligence and its applications. This pivotal role calls for an established leader who will enhance existing research collaborations and forge new ones across the university. The ideal candidate will have exceptional international research credentials in artificial intelligence, a strong track record of securing substantial research funding, and experience leading multidisciplinary research initiatives. Excellence in teaching at both the undergraduate and graduate levels is essential, as is a demonstrated commitment to diversity, equity, and inclusion. We welcome and encourage applications from members of underrepresented groups.
Tulane University is a private Carnegie-R1 university and a member of the prestigious Association of American Universities (AAU). Data-intensive discovery lies at the heart of research and education at Tulane and is fueled by Tulane's new Connolly Alexander Institute for Data Science, the Jurist Center for Artificial Intelligence, and the Center for Community-Engaged Artificial Intelligence. Tulane resides in historic New Orleans, Louisiana, one of America's most culturally vibrant cities.
Qualifications
PhD in Computer Science or a closely related field.
Tenured position as a senior associate or full professor.
Application Instructions
Review of applications will begin January 1, 2025, and will continue until the position is filled.
A complete application should include a CV, statements on research and teaching, and at least three letters of recommendation.
Candidates should apply to the position at the link below.
https://www.imsearch.com/open-searches/tulane-university/mark-d-wheeler-endowed-chair-artificial-intelligence
Equal Employment Opportunity Statement
Tulane University is an equal opportunity educator and employer committed to providing an education and employment environment free of unlawful discrimination, harassment, and retaliation. Legally protected demographic classifications (such as a person's race, color, religion, age, sex, national origin, shared ancestry, disability, genetics, veteran status, or any other characteristic protected by federal, state, or local laws) are not relied upon as an eligibility, selection or participation criteria for Tulane's employment or educational programs or activities.
Tulane University is responsible for providing reasonable accommodations to individuals with disabilities throughout the applicant screening process. If you need assistance in completing an application or during any phase of the interview process, please contact the Office of Human Resources by phone at 504-865-4748 or by email at hr@tulane.edu.
Job ID: 79663921
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