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Assistant Professor, Computer Science (Tenure-Track)

Yeshiva University


Location:
New York, New York 10033
Date:
08/09/2017
2017-08-092017-10-08
Job Type:
Employee
Job Status:
Full Time
Categories:
  • Artificial Intelligence
  • Education and Research
Yeshiva University
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Job Details

Yeshiva College of Yeshiva University invites applications for tenure-track faculty at the assistant professor level in computer science (undergraduate), with a focus on data science. Candidates must have, or be completing, a Ph.D, or equivalent experience. Salary is competitive. The position is available Spring or Fall 2018.

 

Yeshiva University is an equal opportunity employer committed to hiring minorities, women, individuals with disabilities and protected veterans that expands our teaching and research mission. Application review will begin immediately and will continue until the position is filled. 

 

Please submit curriculum vitae and three letters of recommendation with your applicationusing the following link: https://faculty-yeshiva.icims.com/jobs/9557/assistant-professor-of-computer-science-data-science-%28tenure-track%29/job. Please provide copies of papers and patents, and links to any open source work. You are strongly encouraged to include a link to a video of you delivering a talk, lecture, or presentation. Questions regarding the search can be directed to diament@yu.edu and vkelly@yu.edu.


POSITION RESPONSIBILITIES:

  • Teaching courses in the data science track, including Machine Learning, Artificial Intelligence, and Natural Language Processing, as well as other C.S. courses as needed
  • Mentor/guide students in their intellectual and professional development
  • Ensuring that the department's course offerings and priorities remain state-of-the-art and aligned with requirements, expectations, and applications, of industry and research in data science
  • Further the state of the art in data science via research and open source contributions
  • Potential to teach at the graduate level in the future

Requirements

QUALIFICATIONS:

Experience and Educational Background:

  • Must have a Ph.D. or its equivalent in professional experience

Skills and Competencies:

  • Demonstrated expertise in both practice and scholarship in machine learning, artificial intelligence, and data preparation
  • Proven teaching ability
  • Industry experience
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