AI Now is seeking Graduate Research Assistants (GRAs) to support a range of research projects. Positions are available for this spring semester (now-May 2020), the summer (June-August 2020), and for the 2020-2021 Academic Year. Please indicate your availability below.

Graduate Research Assistants will work closely with senior members of our team to support AI Now’s cutting-edge research agenda. These part-time positions are ideal for graduate students looking to gain exposure to the developing interdisciplinary field surrounding the social and political implications of artificial intelligence and machine learning technologies. 

We have a number of GRA positions available across a range of ongoing projects. GRAs may be assigned to one specific topic area or a range of areas, depending on your interest and experience. 

Currently, we are seeking GRAs to provide generalized support across projects and for GRAs to provide specific support to our Gender, Race, Power and AI program and our Data Genesis program.  

The Gender, Race, Power and AI program, led by Dr. Joy Rankin, works to illuminate the multifarious ways in which artificial intelligence and associated technologies concentrate power in highly gendered and racialized structures in the United States and around the world. 

The Data Genesis Program seeks to study, assess and understand the connection between the data that shapes machine learning systems, and the biases and limitations such systems exhibit when applied.

Key Responsibilities

Key responsibilities and activities may include:

  • Conducting interdisciplinary literature reviews, archival research, and ethnographic interviews
  • Synthesizing research papers and findings for written and oral presentation to senior researchers
  • Note-taking and summarizing of meetings, events, and interviews
  • Proofreading and copyediting draft publications, including reports and academic articles, for grammar, style, and verification of citations and evidence
  • Planning and organizing research workshops and convenings

Preferred Qualifications

We welcome graduate students with any disciplinary or experiential background to apply, including technical and non-technical backgrounds, and especially those with experience in Science and Technology Studies, History, Media Studies, Critical Race and Gender Studies, Disability Studies, Literature, Sociology, Anthropology, and Philosophy.

We will also be looking for: 

  • Excellent communication skills and high level of professionalism
  • Strong writing and editing abilities
  • Proven research and analytical skills
  • Impeccable attention to detail 
  • Ability to work both independently and collaboratively
  • Interest in helping develop and produce interdisciplinary research on the social and political implications of AI

Requirements 

Candidates must be currently enrolled in a graduate program, and available to work 15-25 hours per week for the summer and/or 12-20 hours per week during the fall and spring semesters. Most of the work will take place on-site at our offices in Manhattan. We have a number of GRA positions available, some positions may require work to take place on-site at our offices in NYC; some remote work is available. 

New York University is an Equal Opportunity Employer. New York University is committed to a policy of equal treatment and opportunity in every aspect of its hiring and promotion process without regard to race, color, creed, religion, sex, pregnancy or childbirth (or related medical condition), sexual orientation, partnership status, gender and/or gender identity or expression, marital, parental or familial status, caregiver status, national origin, ethnicity, alienage or citizenship status, veteran or military status, age, disability, predisposing genetic characteristics, domestic violence victim status, unemployment 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.

Application Instructions

Please submit your application via the online form below. Be sure to include the following:

  • Your Resume/CV
  • A brief cover letter: in 1 page or less, tell us about what interests you about the role, and how your experience and background would enable you to contribute
  • You school name, degree type, discipline, and expected graduation year
  • What year you are in your program
  • The semesters you're applying for/are available to work
  • Two writing samples in English (articles, blog posts, book chapters, dissertation chapter, or equivalent)
  • Contact information for two references, faculty preferred (we will notify you before we reach out to them)

Feel free to contact us should you have any questions about the position or the application process at apply+GRA@ainowinstitute.org.

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AI Now strives to minimize data collection and limit use of data to the specific purpose for which it is collected. For job applications, we use a series of third party services to help store and organize applicant information. After our hiring process concludes, we save the minimal amount of data required for our HR compliance records and delete the rest. Unless compelled by legal process or pursuant to the applicant’s permission, we do not share any information we receive from applicants with any external person or entity. Should we receive any such legal process, we will attempt to notify the individual whose data is at issue if at all possible in a timely manner.

About the AI Now Institute at New York University

The AI Now Institute at New York University is an interdisciplinary research institute dedicated to understanding the social implications of AI technologies. It is the first university research center focused specifically on AI’s social significance. Founded and led by Kate Crawford and Meredith Whittaker, AI Now is one of the few women-led AI institutes in the world.

AI Now works with a broad coalition of stakeholders, including academic researchers, industry, civil society, policy makers, and affected communities, to identify and address issues raised by the rapid introduction of AI across core social domains. AI Now produces interdisciplinary research to help ensure that AI systems are accountable to the communities and contexts they are meant to serve, and that they are applied in ways that promote justice and equity. The Institute’s current research agenda focuses on four core areas: bias and inclusion, rights and liberties, labor and automation, and safety and critical infrastructure.

AI Now is affiliated across six different NYU faculties: the Tandon School of Engineering, the Steinhardt School of Culture, Education, and Human Development, the Law School, the Stern School of Business, the Center for Data Science, and the Courant Institute of Mathematical Sciences.

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