We're Hiring for postdoctoral fellows, a full-time Researcher/Editor, a full-time programmer, and a full-time lab manager.

Postdoctoral Fellows - Fall 2019 and Fall 2020

Description

The NYU Social Media and Political Participation (SMaPP) Lab is looking to hire up to 3 Postdocs to begin in Fall 2019, and additional postdocs to begin in Fall 2020. The SMaPP Lab studies the influence of social media on politics, and develops new and innovative ways to measure such influence. Postdocs will 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.

The SMaPP Lab 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 both 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 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.

The Lab has weekly general meetings, bi-weekly post-docs meetings, and many project-specific meetings throughout the week. Centrally located in Manhattan, the lab hosts frequent visitors.

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. We are looking for candidates with a PhD in Political Science, a related social science field, Data Science, or Computer Science.

The directors of the SMaPP Lab are actively seeking a diverse group of students, engineers, postdocs, and faculty collaborators, and encourage applicants from all backgrounds to consider applying for this position. 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.

To apply, please go to https://apply.interfolio.com/61142

For additional information, feel free to contact any of the faculty directors: Rich Bonneau (rb133@nyu.edu), Jonathan Nagler (jonathan.nagler@nyu.edu), or Joshua Tucker (joshua.tucker@nyu.edu). Or, of course, check out our website.

Required Education

PhD in Political Science (or related social science), computer science, or data science.

Required Experience

0-5 years of experience; post-PhD trainee preparing for Research Scientist career path.

We're Hiring!

Programmer/Data Scientist

Description

The NYU Social Media and Political Participation (SMaPP) Lab is looking for a full-time software engineer to help build software and tools for collecting, processing, analyzing, and understanding large social media data sets. You will use modern programming tools to manage multi-terabyte databases, build data collection and analysis pipelines, and produce meaningful data visualizations. We require candidates to have either experience programming in relevant environments OR a degree in CS. Significant skills working with Python and SQL/NoSQL databases are mandatory. Experience working with semi-structured data, Spark/Hadoop/EMR, Lucene/ElasticSearch, REST APIs, machine learning toolkits like scikit-learn, and linux/unix systems are also highly valued. Interest in politics or social science combined with these programming skills is a plus.

You will be given the opportunity to participate fully in the research environment, including authoring papers and open source software, attending conferences and seminars, and working closely with a broad group of researchers associated with the lab.

The SMaPP Lab 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 both 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 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.

The Lab has weekly general meetings, bi-weekly post-docs meetings, and many project-specific meetings throughout the week. Centrally located in Manhattan, the lab hosts frequent visitors.

The directors of the SMaPP Lab are actively seeking a diverse group of students, engineers, postdocs, and faculty collaborators, and encourage applicants from all backgrounds to consider applying for this position. 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.

To apply, please go to http://apply.interfolio.com/65616

For additional information, feel free to contact any of the faculty directors: Rich Bonneau (rb133@nyu.edu), Jonathan Nagler (jonathan.nagler@nyu.edu), or Joshua Tucker (joshua.tucker@nyu.edu). Or, of course, check out our website.

Required Education

An undergraduate degree in computer science.

Required Experience

Significant knowledge of and experience with programming in Python.

Preferred Education

Master’s in computer science, data science, or an analytical social science.

Preferred Experience

1+ years programming in a relevant environment, either in research or industry; experience working with semi-structured data, Spark/Hadoop/EMR, Lucene/ElasticSearch, REST APIs, machine learning toolkits, and linux/unix systems; experience with natural language processing, machine learning models, and network analysis is a plus.

We're Hiring!

Lab Manager

Description

The NYU Social Media and Political Participation (SMaPP) Lab is looking for a full-time lab manager. In this role, you will be embedded in our research teams in order to directly support the lab's cutting-edge output. Currently, we have a portfolio of over 25 projects on a wide range of questions related to social media and politics, each of which has different substantive and methodological motivations. As the lab manager, you will have two main responsibilities. First, you will monitor and coordinate all of the lab's research projects; second, you will provide direct support to a selected portfolio of projects. Given the nature of this position, a graduate-level background in quantitatve social science and/or data science research is strongly encouraged, as is experience leading teams in a faced-paced environment.

Each project will require something different from the lab manager, ranging from coordinating with our survey vendors to training undergraduate RAs. We value initiative and adaptability, as well as a passion for the research process. While far from an exhaustive list, your responsibilities will include:

-Instituting systems of regular reporting on work performed, setting goals, tracking progress towards deliverables

-Holding meetings with research teams on each project, and reporting to Faculty Directors and Executive Director on progress

-Ensuring data tasks are regularly updated and best lab practices (e.g. coding and documentation) are followed

-Managing paper writing/revisions, writing IRB paperwork, and coordinating conference/journal submissions

-Training and supervising graduate/undergraduate RAs

The SMaPP Lab 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 both 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 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.

The Lab has weekly general meetings, bi-weekly post-docs meetings, and many project-specific meetings throughout the week. Centrally located in Manhattan, the lab hosts frequent visitors. You will be given the opportunity to participate in the lab's research environment, including attending conferences and seminars and working closely with a broad group of researchers associated with the lab.

The directors of the SMaPP Lab are actively seeking a diverse group of students, engineers, postdocs, and faculty collaborators, and encourage applicants from all backgrounds to consider applying for this position. 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.

To apply, please go to https://apply.interfolio.com/66754

For additional information, feel free to contact any of the faculty directors: Rich Bonneau (rb133@nyu.edu), Jonathan Nagler (jonathan.nagler@nyu.edu), or Joshua Tucker (joshua.tucker@nyu.edu). Or, of course, check out our website.

Required Education

Bachelor's degree in social science, data/computer science, or analytical-based field.

Required Experience

2 years' relevant experience or an equivalent combination.

Preferred Education

Graduate level understanding of quantitative social science research.

Preferred Experience

Experience in an academic or research environment.

We're Hiring!

Researcher/Editor

Description

The Researcher/Editor will work closely with the Lab’s directors, postdocs, and students to produce research and editorial outputs based on the Lab’s research for a variety of popular and academic audiences. Currently, we have a portfolio of over 25 projects on a wide range of questions related to social media and politics, each of which has different substantive and methodological motivations. The person in this role will have editorial responsibility for translating the Lab’s research into data reports, blog posts, op-eds, and other formats (e.g. annual reports and press releases). In addition to the research and editorial responsibility, this Researcher/Editor will manage the Lab’s relationship with a number of key stakeholders (e.g., the press, policy makers, and civil society).

Responsibilities will include:

-Assist in research, writing and production of reports for consumption by non-technical audiences, including foundation reports, white papers, Data Reports, blog posts, and op-eds. Maintain academic rigor in all Lab outputs, while ensuring accessibility by wider audiences

-Track public impact of lab research and activities, and strategize how to increase impact

-Search for and inform Lab Directors of opportunities for leveraging lab research products into additional dissemination venues and publishing outlets

-Maintain the lab websites and social media accounts in a way that is accessible to academics, policy makers, and scholars

-Research support, including providing copy editing and substantive feedback

The SMaPP Lab 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 both 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 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.

The Lab has weekly general meetings, bi-weekly post-docs meetings, and many project-specific meetings throughout the week. Centrally located in Manhattan, the lab hosts frequent visitors. You will be given the opportunity to participate in the lab's research environment, working closely with a broad group of researchers associated with the lab.

The directors of the SMaPP Lab are actively seeking a diverse group of students, engineers, postdocs, and faculty collaborators, and encourage applicants from all backgrounds to consider applying for this position. 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.

To apply, please go to https://apply.interfolio.com/68449

For additional information, feel free to contact any of the faculty directors: Rich Bonneau (rb133@nyu.edu), Jonathan Nagler (jonathan.nagler@nyu.edu), or Joshua Tucker (joshua.tucker@nyu.edu). Or, of course, check out our website.

Required Education

Bachelor's degree in relevant field

Required Experience

Required Experience: 3 years writing and/or editing in academia, journalism/media, foundations, or other relevant contexts

Preferred Education

Graduate level understanding of quantitative social science research

Preferred Experience

Experience translating complex scientific ideas for broader audiences

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