[EOI] Junior Research Scientist in Computer Science| Professor David Fouhey

The junior research scientist will work with Professor David Fouhey and will perform research on robot learning, including home robotics and dextrous learning. The candidate will program, write papers, and release code and data. Located in the heart of New York City, we foster strong research collaborations with several top technology, media, and financial firms including Google, Meta, IBM, Microsoft, AT&T, Bell Labs, NEC, Disney, Samsung, Qualcomm, Amazon, etc. NYU is also situated at the heart of the startup scene in NYU with a large number of technology startups within a 1 mile radius. In compliance with NYC's Pay Transparency Act, the annual base salary range for this position is $58,656 - $110,000. New York University considers factors such as (but not limited to) the specific grant funding and the terms of the research grant when extending an offer. BS in computer science or related field; experience in robotics research.

Please submit the following:

A CV For people in the EU, click here for information on your privacy rights under

GDPR:

www.nyu.edu/it/gdpr 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. All interested persons are encouraged to apply for vacant positions at all levels. Sustainability Statement NYU aims to be among the greenest urban campuses in the country and carbon neutral by 2040. Learn more at nyu.edu/sustainability