Data and Content Manager, Living with Machines
|Salary:||£32,000 per annum|
|Job Type:||Fixed Term Contract|
|Category:||Strategy, Development, Commercial|
Full Time, Fixed term for 3 year contract (with a possible 2 year extension)
This is an exciting opportunity to lead the development and implementation of digitised content and data workflows for the ‘Living with Machines’ (LWM) research project.
LWM proposes a new research paradigm – a radical collaboration between historians, data scientists, geographers, computational linguists, and curators – using computational techniques and very large datasets in order to ask questions about the ways in which technology altered the very fabric of life in Britain during the Industrial Revolution.
The Data and Content Manager will work as part of a multi-disciplinary team, ensuring that digitised data and content is available for storage and advanced analysis. This will includeleading the development and implementation of relevant workflows, including data aggregation, transfer, cleaning, description and mapping of different formats and processes.
The post holder will help ensure that appropriate derived data sets can be used by other researchers through working with the relevant teams at the British Library to address the issues of on-going data access, discovery and preservation. Experience with the management of and workflows for large or complex datasets is essential, as is an understanding of data collection, ingest, access and preservation in a research collection context. The ability to communicate effectively with diverse team members and external stakeholders is also essential.
In return we offer a competitive salary and a number of excellent benefits. Our pension scheme is one of the most valuable benefits we offer, as our staff can become members of the Alpha Pension Scheme where the Library contributes 20.9%. Another significant benefit the Library provides is the provision of a flexible working hours scheme which could allow you to work your hours flexibly over the week and to take up to 5 days flexi leave in a 3 month period. This is on top of 25 days holiday from entry and public and privilege holidays.
More about Living with Machines
This project aims to use computational techniques and very large datasets in order to ask questions about the ways in which technology altered the very fabric of human existence on a hitherto unprecedented scale. The project exploits a corpus of digitised sources, including newspapers, trade directories, census data, and patents, and other resources yet to be digitised (the unstamped press, trade press, business archives and autobiographies). By developing intuitive computational interfaces and a philosophy of interdisciplinary collaboration we will enable close interaction between computational methods and historical inquiry.
Living with Machines is carried out in partnership between the Alan Turing Institute, the British Library, and the Universities of Exeter, London (QMUL) Cambridge, and East Anglia. The project is led by Ruth Ahnert (QMUL), and co-led by Mia Ridge (BL), Adam Farquhar (BL), Emma Griffin (UEA), James Hetherington (Alan Turing Institute), Jon Lawrence (Exeter), and Barbara McGillivray (Alan Turing Institute and Cambridge).
More about The British Library
As the UK national library, the British Library is one of the greatest research libraries in the world. The scope of our remit, the range of our services, the scale of our operations and the international importance of our collections are without equal.
The British Library provides world-class information services to business, general public, research and scientific communities, supporting researchers from every country and in every discipline. We hold over 200 million items including some of the UK’s most important heritage collections, from the Magna Carta to the Lindisfarne Gospels, which sit alongside the latest scientific literature and, increasingly, large datasets.
The British Library is an Independent Research Organisations, undertaking independent and collaborative research across Arts and Humanities and Social Sciences, as well as in Data Science.
The British Library’s Digital Scholarship team’s mission is to enable the use of the British Library’s digital collections for research, inspiration, and enjoyment. We do this by working collaboratively to connect people with digital collections, methods, and services. We engage closely with the digital research community and advocate for their needs while helping make more of the Library’s collections available – and findable – online.
More about The Alan Turing Institute
The Alan Turing Institute is the national centre for data science and artificial intelligence (AI), established in 2015 with the mission to make great leaps in research to change the world for the better.
The Institute has cross-disciplinarity at its core; we bring researchers in mathematics and theoretical computer science, statistics and machine learning, algorithms for data analytics and distributed computing, computational social science and data ethics, software engineers and industry partners, to work together in an open and collaborative environment with a shared goal to generate world-class research.
Closing date: 21 September2018
Interview date: 3 or 4 October 2018
We are a Disability Confident employer, and make a commitment to recruit and support disabled people. We guarantee an interview for disabled candidates who meet the minimum (essential) requirements for a vacancy.
In order to apply for this vacancy, you must be able to supply the required answers to the following questions:
- Do you currently have the right to work in the United Kingdom
- Are you currently a British Library employee or agency member of staff?
|Contact Name:||Employee Services|