Contract Faculty, Department of Computer Science & Engineering

New York, NY, US • Posted 3 hours ago • Updated 3 hours ago
Full Time
On-site
USD $119,000.00 - 145,000.00 per year
Fitment

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Job Details

Skills

  • Curriculum Development
  • Mentorship
  • FOCUS
  • Training
  • Curriculum
  • Program Development
  • Promotions
  • Algorithms
  • Software Engineering
  • Artificial Intelligence
  • Machine Learning (ML)
  • Database
  • Operating Systems
  • Cyber Security
  • Computer Science
  • Teaching
  • Writing
  • Regulatory Compliance
  • Network
  • Civil Engineering
  • Leadership
  • Science
  • Recruiting
  • Communication
  • Collaboration
  • Research
  • Innovation

Summary

Description

The Department of Computer Science and Engineering at the NYU Tandon School of Engineering invites applications for full-time, non-tenured, renewable faculty positions in Computer Science at the level of Industry Assistant Professor or Industry Associate Professor, with a start date of September 2027.

Job Description

Industry Professors at NYU Tandon are core members of our instructional faculty, dedicated primarily to pedagogical excellence, curriculum development, and student mentorship. Key aspects of this position include:

  • Focus: Classroom instruction and educational innovation; there is no research requirement.
  • Teaching Load: Standard full-time teaching load (typically 3 courses per semester / 6 per academic year across undergraduate and graduate levels).
  • Service: Contribution to departmental service, such as curriculum committees, student club advising, and program development.
  • Contract Term: Initial multi-year renewable contract with clear pathways for promotion.

Qualifications

We invite applicants for classroom and laboratory teaching in all areas of Computer Science, with particular emphasis on algorithms, software engineering, artificial intelligence, machine learning databases, operating systems, and cybersecurity.

Required: Master's degree (MS) or equivalent in Computer Science or a closely related discipline, along with demonstrated teaching effectiveness or substantial industry background.

Preferred: Ph.D. in Computer Science or a closely related discipline, a strong record of industrial practice, or experience designing modern, hands-on CS curricula.

Application Instructions

Please submit the following materials:

  • Cover letter
  • Current CV
  • Teaching statement
  • Research statement or writing sample
  • Names and contact information for three references.

Process

We will begin reviewing applications on December 1, 2026, and continue until the position is filled. Early submission is strongly encouraged. For questions, please contact Assistant Professor Rosanna Bellini via @

Additional Information

In compliance with NYC's Pay Transparency Act, the annual base salary (9-month) range for this position is:

  • Industry Assistant Professor: $119,000 - $145,000
  • Industry Associate Professor: $114,000 - $166,000

About Us

New York University (NYU) is one of the top private universities in the United States with an unparalleled network of global campuses and academic centers. NYU's Tandon School of Engineering, located in the heart of Brooklyn, dates back to 1854, the founding year of both the New York University School of Civil Engineering and Architecture and the Brooklyn Collegiate and Polytechnic Institute. Backed by an historic commitment investment of $1 billion and under the leadership of Juan de Pablo as the University's Executive Vice President for Global Science and Technology and Tandon's Executive Dean, the Engineering School is recruiting world-class faculty, and conducting groundbreaking basic and applied research in key areas. We are home to a community of renowned faculty and undergraduate and graduate students united in a mission to understand and create technology that powers cities, enables worldwide communication, fights climate change, and builds healthier and safer real and digital worlds. The school's culture centers on encouraging rigorous, interdisciplinary collaboration and research; entrepreneurial thinking, academic and technological innovation and the creation of accessible pathways for lifelong learning in STEM.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10414695
  • Position Id: c539586834dea87df97966404bd27054
  • Posted 3 hours ago
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