Assistant Professor - Computer Science/Data Science and Computation - Old Westbury Campus (F/T -Tenure Track)

US-NY-Old Westbury
6 days ago
Job ID
2017-1393
Division
Engineering & Computing Sciences
# of Openings
1
Position Type
Faculty
Category
School of Engineering and Computing Sciences

Overview

Committed to educating the next generation of leaders and to inspiring innovation and advancing entrepreneurship, NYIT enrolls approximately 10,000 students on campuses in North America, China and the Middle East. As a forward-thinking institution NYIT has pioneered educational practices to serve student needs since 1955. NYIT offers 90 undergraduate, graduate and professional degrees in 50 fields of study and is home to students from more than 100 countries and from 50 states. Its seven schools and colleges include: School of Architecture and Design; College of Arts and Sciences, School of Engineering and Computing Sciences; School of Health Professions; School of Management; College of Osteopathic Medicine, and the newly formed School of Interdisciplinary Studies and Education.

Responsibilities

NYIT’s School of Engineering and Computing Sciences seeks a Computer Science Assistant Professor at its Old Westbury Campus more specifically in Data Science and Computation, including data analytics, machine learning, deep learning, computer vision, artificial intelligence, and natural language processing (full-time, tenure-track; campus: Old Westbury).

Qualifications

Candidates must have a Ph.D. degree in Computer Science, or related area, excellent communication skills, and a solid publication record. Candidates must demonstrate an innovative research record and/or industrial experience, and potential for securing sponsored research, contracts and external grants. Successful candidates will share our vision to grow the School of Engineering and Computing Sciences into a leader in applied research and a premier source of student talent in the New York Metropolitan Area and globally.

 

We offer a competitive benefits package, including tuition remission, along with a professional environment designed to enhance your career development.

 

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