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Turing Data Study Group: apply by 19 November

last modified Nov 14, 2017 10:00 AM
The Alan Turing Institute is hosting their 4th Data Study Group from 11-15 December 2017. They are particularly looking for postdocs to apply to take part.

Data Study Groups bring together researchers, data practitioners, and industry representatives from leading organisations to work together on data science challenges posed by partner organisations in multi-disciplinary teams, enabling researchers to build collaborations and work with real-world industry datasets.

In December the Alan Turing Institute will host the following challenges (along with one or two others who are still confirming their participation): 

  • Can data science help identify potential drivers of engaging in extremism?
  • Can the news help us understand global instability?
  • Can we use time-series analyses to predict the geospatial demand for a global satellite communications network?
  • How do our food choices affect climate change?

They are looking for PhD students, postdocs and other early career researchers to participate.

Particularly relevant skills could be associated with the analysis of time-series and geospatial data, neural networks, natural language processing (sentiment, topic and grammar), clinical studies, survey data, and web-scraping.

The teams will also benefit from anyone with a background in sociology, psychology, political science, or computer science (compilers or static program analysis).

But this is not an exhaustive list and there are no specific prerequisites. The application form asks for your technical experience and your experience working in collaborative groups.

You can find more information here

You can apply directly here. The closing date is Sunday 19th November.

The Institute will cover travel and accommodation expenses, and provide food and drink throughout the week.

If you have any questions, you can reach out to Dr Kirstie Whitaker at kwhitaker@turing.ac.uk, particularly if you are unsure about your qualifications or suitability for membership of the Data Study Group.

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