Hi everyone,
I’m sharing the following job offer which I feel might be of interest to some people here: my social sciences research lab in Paris is hiring a data scientist to collect, process and visualize data from the web on scientific misinformation on the web and especially climatic fake news: https://medialab.sciencespo.fr/en/news/recrute-ingenieure-de-recherche-data-scientist
Sciences Po médialab is not the average social sciences lab as it dedicates a full-fledged team of engineers in charge of developing free software and tools to be reused by others in addition to the lab’s researcher, you can get a general idea by looking at our tools showcase and our GitHub organisation.
The research project
The Research Engineer / Data Scientist will be part of the team of the new project "Influence of web platform practices and algorithmic decisions on public access to climate information” dedicated to scientific misinformation on web platforms and their recommendation engines.
One of the main goals is to document the sources of information that are most prominent on web platforms like Youtube, Google or Facebook and categorise the type of messages they convey, including the presence of scientific misinformation in the fields of climate change and health. The project aims at tracking how these change over time, notably in relation to the policies announced by these companies to combat disinformation and thus assess their effects. This project will benefit from the expertise and data of the Science Feedback project, which organizes a global community of scientists to assess the credibility of science related claims (see climatefeedback.org et healthfeedback.org).
Position details
The Research Engineer / Data Scientist will join Science Po médialab team for two years.
We are looking for candidates with strong data processing and analysis skills to join our team and help us crawl and scrap the platforms, apply NLP techniques to detect claims, and analyze the networks of websites and social media accounts propagating misinformation among others. We encourage candidates with a research background (PhD, postdoc) or data scientist / engineer background to apply.
Please share with anyone you think might be interested!