NYU Center for Data Science Hiring for Clinical Faculty at New York, NY Full Time

The NYU Center for Data Science (CDS) seeks to fill a Clinical Faculty position in Data Science at its Washington Square campus.

Description

CDS is the focal point for NYU’s university-wide initiative in data science and
statistics, established 8 years ago, and one of the country’s leading data science research and training facilities. CDS is a vibrant
space with 18 jointly appointed faculty (growing to over 20 in the next two years) and 11 associated faculty across computer science,
mathematics, engineering, neuroscience, linguistics, politics, psychology, physics, biology and business; a list of affiliate faculty
spanning a wide range of NYU’s schools and departments, a highly successful Master’s program and one of the first Data Science
PhD programs as well as the new undergraduate program in data science. CDS’ research focuses on tools and methods at the intersection
between applied mathematics, data science, high-dimensional statistics, machine learning, optimization, and several data-driven application
areas.

The primary responsibilities will be:

• Teaching and coordinating three (3) entry- and
  advanced-level courses for undergraduates- and masters-level students in Data Science during each of the Fall and Spring semesters. Topics
  of courses might include some subset of: probability and statistics, statistical modeling, causal inference, machine learning, computer
  vision, artificial intelligence, natural language processing, “big data”, visualization, programming for data science.
• Training and evaluating teaching assistants.
• Other responsibilities related to the administration of the undergraduate and
  graduate programs including but not limited to: helping with the administration of admissions to the MSDS, designing and revising curricula
  when required, advising students on optimal course choices and sequences. These other responsibilities may lead to a reduction in course
  load.

This Clinical Faculty position is not a tenured or tenured-track position. The initial appointment is typically for one (1)
year with potential for three-year renewals.

Qualifications

Applicants must have a strong
background in Data Science and a Ph.D. in a related field, as well as experience in and knowledge about undergraduate and graduate teaching,
learning, and curricular issues.

Applications instructions

Please provide in your
application:

• A cover letter indicating how the position relates to your overall career plans
• A complete
  curriculum vitae
• Three confidential letters of recommendation are required, including one that focuses on your teaching. Please
  follow the prompts in the application. Once you submit your application, an automated email with a link will be generated to your
  recommenders asking them to upload their confidential letters of recommendation.
• A 1-2 page teaching statement
• A teaching
  portfolio that may include a list of courses taught, sample teaching materials, evaluations of teaching, certifications, or other supporting
  documents.
• (Preferred, but optional) a 15-minute video of your teaching. Upload your video to a public streaming site (such as
  YouTube or Vimeo) and submit the URL with your application.
• We encourage applicants to include a brief statement describing how
  your research, teaching, and service contributes to diversity and inclusion.

Applications received through the Clinical Faculty
of Data Science Interfolio application page through April 1, 2022 will be given full consideration.

Equal Employment Opportunity
Statement

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NYU is an Equal Opportunity Employer and is committed to a policy of equal treatment and opportunity in
every aspect of its recruitment and hiring process without regard to age, alienage, caregiver status, childbirth, citizenship status, color,
creed, disability, domestic violence victim status, ethnicity, familial status, gender and/or gender identity or expression, marital status,
military status, national origin, parental status, partnership status, predisposing genetic characteristics, pregnancy, race, religion,
reproductive health decision making, sex, sexual orientation, unemployment status, veteran status, or any other legally protected basis.
Women, racial and ethnic minorities, persons of minority sexual orientation or gender identity, individuals with disabilities, and veterans
are encouraged to apply for vacant positions at all levels.

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