D-Lab has an exciting opening for a postdoctoral scholar position. We are seeking a computational social scientist with survey experience to contribute to our cutting edge hate speech project. 

About the Position

D-Lab is leading a multi-year interdisciplinary research project to identify hate speech in online discourse, with a particular focus on social media platforms. We have a diverse range of internal and external funding, as well as industry collaborations. Our strength in this area is the combination of social science theory with state of the art techniques in natural language processing/machine learning.

We are currently looking to hire a postdoctoral scholar to join our mid-sized team. If you feel inspired to use your quantitative, qualitative, and computational social science skills to work on interesting questions and tackle a large contemporary issue, we’re interested in talking to you.

About D-Lab

D-Lab is an institute within UC Berkeley dedicated to helping faculty, staff and graduate students move forward with world-class research in data-intensive social science. In one capacity, we offer training and individual consulting on programming, statistics, machine learning, data collection and study design to UC Berkeley’s research community. In another capacity, we conduct research on social science questions with both historical and contemporary importance. Since our founding in 2013, we have prioritized keeping D-Lab an open and inclusive environment for all. Accordingly, we strongly encourage diverse candidates to apply for this position.

Responsibilities

At D-Lab, you will:

  • Research, design, implement and assess online survey instruments used for collecting human judgments of text data

  • Participate in a collaborative team effort to define, discuss and understand the phenomenon of contemporary hate speech

  • Meet and work with our collaborators to share research ideas and directions

  • Manage and mentor undergraduate research assistants

Qualifications

We are looking to hire a team member with the following required qualifications:

  • Experience with survey design, with preferences for classical test theory, item response theory, scale development, and/or adaptive questionnaire design

  • Statistical programming (R and/or Python)

  • Strong communication skills

  • Demonstrated experience working in teams

Additional preferred qualifications for this position are:

  • Familiarity with recruiting online workers on platforms such as Amazon Mechanical Turk or Figure Eight

  • Qualtrics programming (advanced randomization and survey flow; javascript programming)

  • Experience using GitHub

  • Familiarity with social media APIs (e.g. YouTube, Twitter, Instagram)

  • Experience with creating interactive data science apps (Shiny, Bokeh, Dash)

  • Familiarity and facility with optimizing the use of social media

Position details

This position is a 100% time position and applicants must be able to work in Berkeley (this is not a remote position). This position is for one year with the possibility of extending. Visiting scholars with their own supplemental source of funding will also be considered. All applicants must be within five years of the receipt of their PhD degree.

To Apply

Please fill out this form to apply for the position. Applications will be considered beginning November 1, 2018 and will remain open until the position is filled.

 

Author: 

Geoff Bacon

Geoff is a PhD student in the Language and Cognition lab in the Linguistics department. His research is in computational semantics, building and evaluating statistical models of the acquisition of meaning. He teaches Python at the D-Lab.