Edinburgh PeaceTech Initiative
‘Edinburgh Peacetech’ is a new initiative being developed at the University of Edinburgh in conjunction with other NGOs and tech companies. It seeks to develop tools for connecting data and peacebuilding. The overarching vision is to build a collaborative peacetech hub from the University of Edinburgh, to harness the energies of interdisciplinary research, peacebuilding practitioners, and technology providers, which would produce a radical improvement in how peace processes are designed and managed to effectively end violent conflict.
This Fellowship provides an opportunity to help us shape a research agenda and new form of academic-NGO-business collaboration, for how data collection, analysis and visualisation can support conflict interpretation and peace processes. The fellowship will investigate how data analytics, data visualization, distributed applications and platforms for engagement and participation can help us monitor and understand conflict and peace processes worldwide. This can include text mining and analysis, aggregating data from different sources, dealing with incomplete and uncertain data, developing faithful visual representations of geographic multivariate and potentially temporal data, in innovative and interactive forms.
The successful candidate will need to have strong programming skills, and experience in several of the following: natural language programming, semantic web technologies, web development and design skills on a range of platforms, including good experience in D3.js and map visualization software (e.g. MapBox). Some understanding of development and peacebuilding issues would also be an advantage.
Interested candidates should contact Professor Christine Bell (Christine.firstname.lastname@example.org) or Benjamin Bach for an informal discussion before applying.
Applicants must meet eligibility criteria as listed below. These conditions are designed to encourage the mobility of fellows between countries.
- Applicants must, at the date of the application deadline (30 April 2019), be in possession of a doctoral degree or have at least four years full-time equivalent research experience.
- Applicants must, at the date of the application deadline (30 April 2019), have no more than ten years’ experience since defending their PhD (career breaks for parental leave, sickness absence or army service are excluded)
- At the date of the application deadline (30 April 2019), the applicant must not have resided or carried out their main work activity (including studying) in the UK for more than 12 months in the past 3 years (not counting holidays or short stays).
- For researchers returning from a career break, a slightly modified mobility criterion can be used, that at the date of the application deadline (30 April 2019) the applicant must not have resided or carried out their main activity (work, studies, etc.) in the UK for more than 36 months in the 5 years immediately prior to the application deadline. To qualify as returning from a career break the applicant must not have been active in research for at least 12 months immediately prior to application deadline, as determined by fellowships or employment contracts in the research area.
- Applicants must submit a research proposal that ties in with one of 6 research themes (applicable for this ad: data science and innovation, creative industries)/
- Applicants require the support of an academic supervisor at the University of Edinburgh (Christine Bell, Benjamin Bach, Larissa Pschetz).
- Applicants must submit an Ethical Issues Form.
- Applicants must secure support from a private sector partner in the form of secondments, mentorship or other types of cooperation.
Further info at https://www.ed.ac.uk/human-resources/jobs/train-ed