We're Hiring for postdoctoral fellows and a full-time programmer!

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.

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