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NYU

Tenured/Tenure-Track Positions in Computer Science/Data Science/Engineering

2024-12-15 (America/New York)
Salva lavoro

NYU Shanghai is currently inviting applications for multiple Tenured or Tenure-Track positions in Computer Science, Computer Engineering and Data Science. The search is not restricted to any rank and outstanding candidates at all levels are encouraged to apply.

Terms of employment at NYU Shanghai are comparable to NYU New York and other U.S. institutions with respect to research start-up funds and compensation, and they include housing subsidies and educational subsidies for children. Faculty may in certain cases have the opportunity to spend time at NYU New York and other sites of the NYU Global Network, engaging in both research and teaching.

Qualifications

We seek candidates who have completed a Ph.D. in Computer Science, Data Science, Engineering, Applied Mathematics or a closely related discipline. We invite applications from candidates in all areas and have a special interest in those with expertise broadly in Systems, Computer Engineering, Trustworthy AI, Mathematics of Data Science and AI, and Human-Computer Interaction that will supplement and complement our current interdisciplinary clusters in machine learning, theory and AI.

Application Instructions

Applicants should submit a cover letter, curriculum vitae, statement of research, statement of teaching interests, and at least one publication via Interfolio. Additionally, those applying at the rank of assistant or associate professor (without tenure) should enter the names and email addresses of at least three referees. Each referee will be contacted to upload a reference letter through Interfolio.

Applications submitted by December 15 will receive full consideration. The review will begin on December 15, 2024, and will continue until the position is filled. To apply, follow this link: http://apply.interfolio.com/155414. If you have any questions, please email the NYU Shanghai NY Office of Faculty Recruitment: shanghai.faculty.recruitment@nyu.edu.

About NYU Shanghai

NYU Shanghai is the third degree-granting campus within New York University’s Global Network. It is the first higher education joint venture in China authorized to grant degrees that are accredited in the U.S. as well as in China. All teaching is conducted in English. A research university with liberal arts and science at its core, 

NYU Shanghai resides in one of the world's great cities with a vibrant intellectual community. NYU Shanghai recruits scholars of the highest caliber who are committed to NYU's global vision of transformative teaching and innovative research and who embody the global society in which we live.

NYU’s Global Network includes degree-granting campuses in New York, Shanghai, and Abu Dhabi, complemented by thirteen additional academic centers across the world. Faculty and students may circulate within the Network in pursuit of common research interests and cross-cultural, interdisciplinary endeavors, both local and global.

For people in the EU, click here for information on your privacy rights under GDPR: www.nyu.edu/it/gdpr.

NYU Shanghai is an equal-opportunity employer committed to equity, diversity, and social inclusion. We strongly encourage applications from under-represented individuals in the profession, across color, creed, race, ethnic and national origin, physical ability, and gender and sexual identity. NYU Shanghai affirms the value of differing perspectives on the world as we strive to build the strongest possible university with the widest reach.

Dettagli del lavoro

Titolo
Tenured/Tenure-Track Positions in Computer Science/Data Science/Engineering
Datore di lavoro
NYU
Sede
567 West Yangsi Rd, Pu Dong Xin Qu Shanghai, Cina
Pubblicato
2024-10-10
Scadenza candidatura
2024-12-15 23:59 (America/New York)
2024-12-16 05:59 (CET)
Salva lavoro

Informazioni sul datore di lavoro

Since its founding in 1831, NYU has been an innovator in higher education, reaching out to an emerging middle class, embracing an urban identity.

Visita la pagina del datore di lavoro

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