Work with Us

The directors of the Center for Social Media and Politics are actively seeking a diverse group of students, engineers, postdocs, faculty collaborators, and staff, and encourage applicants from all backgrounds to apply. We believe in the importance of diversity as a key to the long range health and vibrancy of the field, as well as its ability to create a more stimulating intellectual environment.

We’re always looking to grow our pool of prospective collaborators who share our passion for social media and politics.

Interested in a specific job? See below for current job openings and application details.

Postdoctoral Fellows – Fall 2021

Description

The NYU Center for Social Media and Politics studies the influence of social media on politics, and develops new and innovative ways to measure such influence. Postdocs work on projects that could include: analyzing the behavior of bots in elections, working with survey data merged with respondents’ social media behavior, analyzing Facebook data made available through the Social Science One program, identifying which users are most influential in online networks, examining the impact of YouTube and other sites on news consumption of individuals, the spread of disinformation through social media platforms, and studying how and what individuals learn from social media during the 2020 U.S. election campaign.

We are looking for a postdoc with a strong research background and advanced technical skills. Experience with research in one or more of the following areas is desirable: active learning, deep learning, or machine learning. A Ph.D. degree in Computer Science, Data Science, Statistics, or a social science field with a background in machine learning and data science is required.

The directors of the Center for Social Media and Politics are actively seeking a diverse group of students, engineers, postdocs, faculty collaborators, and staff, and encourage applicants from all backgrounds to apply. We believe in the importance of diversity as a key to the long-range health and vibrancy of the field, as well as its ability to create a more stimulating intellectual environment.

This is initially a one year position, with the potential for renewal up to three years.

CSMaP consists of three core faculty directors covering fields of Political Science, Computer Science, and Computational Biology, as well as software engineers, data scientists, PhD students in both Political Science and Data Science, affiliated faculty at NYU and other institutions, and undergraduates. The lab maintains a broad research agenda with many projects moving forward simultaneously. Recent publications and/or working papers have centered on the consumption of fake newsthe distribution of media consumption by individualsthe links shared by IRA Troll accounts in the 2016 US electionhow (competitive) authoritarian regimes respond to online opposition, and the prevalence of hate speech on Twitter.

The Postdocs will work with the faculty directors and others to conduct cutting edge research: analyzing data using tools of modern machine learning, designing data collection schemes, developing and testing new algorithms, and producing code and writing up results. Postdocs are expected to participate in co-authoring multiple lab papers.

Feel free to contact any of the faculty directors for more information: Rich Bonneau (rb133[at]nyu.edu), Jonathan Nagler (jonathan.nagler[at]nyu.edu), or Joshua Tucker (joshua.tucker[at]nyu.edu).

Qualifications

We are looking for a postdoc with a strong research background and advanced technical skills. Experience with research in one or more of the following areas is desirable: active learning, deep learning, or machine learning. A Ph.D. degree in Computer Science, Data Science, Statistics, or a social science field with a background in machine learning and data science is required.

Application Instructions

Apply here: https://apply.interfolio.com/78575

Please be sure to include at least 3 academic references in your application / on your C.V.

Social Science Code Reviewer (R)

The NYU Center for Social Media and Politics (CSMaP) supports research on:

  1. How social media impacts politics, emphasizing the flow of information (and misinformation) on social media.
  2. Innovative ways to use social media data to study politics.
  3. Developing open-source tools that facilitate the use of social media data for the study of politics. 

We are looking for a Social Science Code Reviewer (R) to help review code for select research projects. This person will review code in R to ensure that it meets our internal standards for style, maintainability, and best practices.  S/he will also confirm that the code matches the research product’s claim, methodology and reported results. 

S/he will take ownership of the code and collaborate with engineers and other researchers to confirm that research is replicable and reproducible given the original data and code. This is a part-time, on-campus (temporarily remote) employment role with compensation of $40  per hour depending on experience and education.

The strongest applicants should have a background in the social sciences or social media research, as well as familiarity with statistical methods commonly used in the social sciences. This position continues through the spring 2022 academic semester with the preference of extension into the summer and fall semesters.

The directors of the Center for Social Media and Politics are actively seeking a diverse group of students, engineers, postdocs, faculty collaborators, and staff and encourage applicants from all backgrounds to apply. We believe in the importance of diversity as a key to the long-range health and vibrancy of the field and its ability to create a more stimulating intellectual environment.

CSMaP consists of three core faculty directors covering fields of Political Science, Computer Science, and Computational Biology, as well as software engineers, data scientists, Ph.D. students in both Political Science and Data Science, affiliated faculty at NYU and other institutions, and undergraduates. The lab maintains a broad research agenda with many projects moving forward simultaneously. Recent publications and working papers have centered on:  the consumption of fake news, the distribution of media consumption by individuals, the links shared by IRA Troll accounts in the 2016 US election, how (competitive) authoritarian regimes respond to online opposition and the prevalence of hate speech on Twitter.

To apply:

Email your resume and an optional short cover letter outlining why you’re interested in CSMaP and anything else you’d like us to know to nyu-smapp-engineers@nyu.edu by  September 30th, 2021. Feel free to contact us at csmap@nyu.edu with questions.

Required education:

Current NYU student

Required skills:

Intermediate R; time management; proactive communication

Preferred experience:

Previous experience collaborating on a software project (such as an open source project or a collaborative research project with a shared codebase); extensive experience with GitHub

Preferred skills and experience:

In addition to required skills and experience, 1+ years in a relevant environment; understanding of or interest in social media research and computational social science; Python and R skills; performing code review on other’s work.

CSMaP Fellow

Social media has transformed politics around the world and the way we receive and engage with information. NYU’s Center for Social Media and Politics (CSMaP) hosts a global community of scholars to study this impact. Our rigorous, policy-relevant research harnesses social media data to study politics in new ways and explores how social media affects public opinion and political behavior. Through innovative research, teaching, and outreach, CSMaP advances scientific knowledge and informs public policy and discourse in the digital age.

We are looking for a CSMaP Fellow to support the Executive Director with research and administrative projects.

  • Successful applicants will be energetic and adaptable; both willing to work across a variety of domains and to shape the role depending on your interests and skills.
  • Work could include management operations, supporting public policy work through research and writing, compiling data reports or literature reviews, or other projects depending on your background.
  • This is a part-time employment role with compensation of $15 per hour for undergraduate students or $26.75 per hour for graduate students.
  • Strong applicants should be able to demonstrate an interest in the social sciences, social sciences, public policy, or technology. The Fellow will be expected to work with the CSMaP team through the spring 2022 academic semester with the possibility of extension into the summer.

CSMaP’s Directors are actively seeking a diverse group of students, engineers, postdocs, faculty collaborators, and staff, and encourage applicants from all backgrounds to apply. CSMaP consists of three core faculty directors covering fields of Political Science, Computer Science, and Computational Biology, as well as software engineers, data scientists, PhD students in both Political Science and Data Science, affiliated faculty at NYU and other institutions, and undergraduates. The center maintains a broad research agenda with many projects moving forward simultaneously. Recent publications and/or working papers have centered on the consumption of fake news, the distribution of media consumption by individuals, the links shared by IRA Troll accounts in the 2016 US election, how (competitive) authoritarian regimes respond to online opposition, and the prevalence of hate speech on Twitter.

Required education:

Current NYU undergraduate or graduate student; relevant coursework in the social sciences, data / computer science, or public policy

Required skills:

Strong experience or interest in academic research; proficiency in PowerPoint and Excel; excellent time management and written / oral communication

Required experience:

1+ years in a relevant environment, such as (but not limited to) a university, non-profit organization, or technology company

If interested, please send a CV with a brief introduction to Zeve Sanderson (zns202@nyu.edu)