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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.

Programmer / Data Scientist

Description

The NYU Center for Social Media and Politics supports research on (i) how social media impacts politics, with particular emphasis on the flow of information (and misinformation) on social media; (ii) innovative ways to use social media data to study politics; and (iii) developing open-source tools that facilitate the use of social media data for the study of politics. We are 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 work across SMaPP’s diverse portfolio of projects including: analyzing the behavior of bots in elections and the spread of disinformation through social media platforms, 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, and studying how and what individuals learn from social media during the 2020 U.S. election campaign.  CSMaP is committed to the highest standards of data security and user privacy, and we never release data about individual users.  Your role will help us maintain that standard across all of our research endeavors.

This is initially a one year position, with the possibility of it being converted into a longer-term role.

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 center.

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.

To apply, please visit: http://apply.interfolio.com/76468

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).

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.

Research Project Associate

Description

The NYU Center for Social Media and Politics supports research on (i) how social media impacts politics, with particular emphasis on the flow of information (and misinformation) on social media; (ii) innovative ways to use social media data to study politics; and (iii) developing open-source tools that facilitate the use of social media data for the study of politics. 

We are looking for a full-time Research Project Associate to help manage the Center’s portfolio of research projects, including the development of our technical infrastructure. This person would participate in the development of standard procedures, templates, and project plans; provide support to research teams; and track project deliverables using appropriate tools. In addition to program coordination, we are looking for someone to support the research engineers/scientists on technical projects, including: building software and tools for collecting, processing, analyzing, and understanding large social media data sets; working with semi-structured data, Spark/Hadoop/EMR, Lucene/ElasticSearch, REST APIs, machine learning toolkits like scikit-learn, and linux/unix systems; and managing multi-terabyte databases, building data collection and analysis pipelines, and producing meaningful data visualizations.  

Strong applicants should be able to demonstrate interest in the social sciences and experience with data and/or computer science. 

You will work across SMaPP’s diverse portfolio of projects including analyzing the behavior of bots in elections and the spread of disinformation through social media platforms, 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, and studying how and what individuals learn from social media during the 2020 U.S. election campaign.  CSMaP is committed to the highest standards of data security and user privacy, and we never release data about individual users.  Your role will help us maintain that standard across all of our research endeavors.

This is initially a one-year position, with the possibility of it being converted into a longer-term role.

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 center.

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 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, please visit:  http://apply.interfolio.com/76712

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).

Required education: An undergraduate degree in data science, computer science, or a social science. 

Required experience: Knowledge of and experience in computational social science.

Preferred education: Masters in analytical social science or data science.

Preferred experience: 1+ years in a relevant environment, either in research or industry; experience in successfully managing teams and deliverables in multi-stream projects.

Postdoctoral Fellows – Fall 2021

Description

We looking to hire up to 3 Postdocs to begin in Fall 2021. 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 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 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.

We will begin accepting applications in Fall 2020; in the meantime, 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).

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.