Research Associate in Cookpad Networks

Bristol, City of Bristol (GB)
£32,548 - £36,613
23 Mar 2018
End of advertisement period
22 Apr 2018
Contract Type
Fixed Term
Full Time

Within the Department of Engineering Mathematics at the University of Bristol this is an exciting opportunity to join a team led by Dr Naoki Masuda ( exploring analysis of data provided by Cookpad LTD, the funder of the present project. Cookpad is the largest cooking recipe-sharing community in the world providing an online platform with about 100m monthly unique users worldwide. They are operating the service in more than 60 countries ( The mission of Cookpad is “make everyday cooking fun”. They are committed to build a better world through encouraging more people to cook. Everyday home cooking has a profound impact on ourselves and the world around us; it makes us healthy, connects us with our friends and family and makes our environment sustainable. Through solving problems related to everyday cooking, the company intends to help people live happier and healthier lives.

Like other social media such as Facebook and Twitter, the service would be able to attract many users if many useful contents are posted and users enjoy communications among themselves. From a business perspective, a general challenge is to identify factors that enhance the number of users and amount of traffic, and to devise methods to efficiently intervene into such factors. Cookpad would like to solve questions such as: Who are key users who channel viral information spreading and cozy communication on the platform? How should we determine such key users? Why do some user communities grow over time whereas others do not? How different are the networks in different countries and language groups?

The Research Associate will have at least a PhD in network science, complexity sciences, computer science, applied mathematics or a related field and have good experience of, and journal publications (or conference proceedings in the case of computer science) on network science or related topics (e.g. social media data analysis, econophysics). Because the project involves data, the Research Associate is expected to have experiences in data-related projects.

This post is offered on a full time open ended contract with funding up to 30 September 2019.

Informal enquiries to Naoki Masuda on 0117 331 5176;

The University is committed to creating and sustaining a fully inclusive culture. We welcome applicants from all backgrounds and communities.

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