The Alan Turing Institute is the UK’s national institute for data science and artificial intelligence. The Institute is named in honour of the scientist Alan Turing and its mission is to make great leaps in data science and artificial intelligence research in order to change the world for the better.

The Alan Turing Institute has worked with the Lloyds Register Foundation (LRF), a global charity supporting research, innovation, and education in engineering for over six years. Through this partnership, we have helped establish Data Centric Engineering (DCE) as a new field of research. This has achieved almost 400 publications; a new academic journal focussed on DCE and supported the development of a 3D printed bridge in Amsterdam and an underground farm in London. We are now working on the next phase of our partnership. Through this work, it is our objective to progress from research to translation to support the pull-through to adoption in global industry across engineering disciplines. Ultimately, this work will help improve safety outcomes across a broad range of engineering disciplines.

The Alan Turing Institute will coordinate the work to consolidate and grow a global community of academia and industry specialists working in DCE. The project is composed of data scientists, engineers and practitioners who will help work across four pillars that will support the adoption of DCE innovations, creation of AI standards and regulation, improve skills and develop the community. The team will work closely with industry leaders, engineering bodies, academics and other stakeholders to facilitate the translation of DCE.

This next phase of DCE2.0 aligns with the Institute’s broader development of its priorities, including delivering research aligned to national priorities, growing the community and taking national leadership to improve skills and understanding of AI.

We are recruiting a Senior Community Manager for DCE to lead community growth in the next phase of the partnership. They will draw on the expertise from TPS to embed from the start best practices in community management and open research into the emerging DCE community and broader open source communities in the engineering industry to ensure that this investment delivers FAIR (findable, accessible, interoperable and reusable) outputs that are greater than the sum of their parts.

ROLE PURPOSE

The Senior Community Manager for DCE will create and nurture a disparate community of academics and industry practitioners. We anticipate that the postholder will need to need to embody the values of compassion, stewardship, and collaboration in addition to their commitment to Equality, Diversity and Inclusion as described in the Turing’s EDI Principles and Values.

The ideal candidate for DCE’s Senior Community Manager will be familiar with the key stakeholders in the engineering community and be able to bring these together to understand their needs and ambitions. They will support people in sharing and promoting the skills that they already have, understand the experiences of people from a range of diverse backgrounds, and identify what they need to build a sustainable community. DCE can only achieve its ambitious goals by creating links with communities of practice across the world and building on the successes of DCE phase 1.

DUTIES AND AREAS OF RESPONSIBILITY

• Identify and connect people and existing communities of practice from across the Turing Institute, policy-makers, industry, the wider engineering community and the public to form a coherent network with the aim of furthering collaborative and interoperable research in data-centric engineering.
• Scan the landscape and horizon for crucial pieces of information about national and international priorities in Data Centric Engineering, areas of focus by public sector, private sector and third sector organisations, and innovations relevant to the emerging field.
• Demonstrate, internally across the DEC community, and to the broader engineering and open source developer communities, how interdisciplinary teams can work together to deliver reliable, reusable insights to understand complex emerging challenges in data-centric engineering research.
• Catalyse connections and collaboration between researchers, industry, and policy-makers across the DCE community. This could come in the form of synchronous regular meetings or asynchronously, for example, through active engagement on distributed communication channels such as Slack and the maintenance of public and private GitHub repositories to documented ongoing work.
• Contribute to the research aims and challenges of the Data-Centric Engineering and Tools, Practices and Systems programmes, and those of the Turing Institute more broadly. Share the responsibility of embedding our ethical values in research processes and outputs, and promoting equitable and inclusive co-creation of data intensive projects.

• PhD or equivalent level of industry experience
• Demonstrable knowledge of data-centric engineering
• Track record of: Publishing articles, FAIR data sets, and/or open source software libraries for an academic audience.
• Communication skills, both oral and written. The postholder will routinely be required to communicate more complex, specialist or conceptual information clearly and persuasively, presenting compelling arguments to influence.
• Ability to guide others by presenting options and choices to inform their decision making.
• Ability to solve complex problems that occur infrequently where guidance, if available, is not specific.

Please see the job description for a full breakdown of the duties, responsibilities and person specification

APPLICATION PROCEDURE

If you are interested in this opportunity, please click the apply button below. You will need to register on the applicant portal and complete the application form including your CV and covering letter. If you have questions about the role or would like to apply using a different format, please contact us 020 3862 3546 or email [email protected].

CLOSING DATE FOR APPLICATIONS: 25 September 2022 at 23:59

TERMS AND CONDITIONS

This full time post is offered on a fixed term basis to 30 September 2027. The annual salary is £46,690-£52,000 plus excellent benefits, including flexible working and family friendly policies, https://www.turing.ac.uk/work-turing/why-work-turing/employee-benefits

EQUALITY, DIVERSITY AND INCLUSION

The Alan Turing Institute is committed to creating an environment where diversity is valued and everyone is treated fairly. In accordance with the Equality Act, we welcome applications from anyone who meets the specific criteria of the post regardless of age, disability, ethnicity, gender reassignment, marital or civil partnership status, pregnancy and maternity, religion or belief, sex and sexual orientation.

We are committed to building a diverse community and would like our leadership teal to reflect this. We therefore welcome applications from the broadest spectrum of backgrounds.

Reasonable adjustments to the interview process will be made for any candidates with a disability.

Please note all offers of employment are subject to obtaining and retaining the right to work in the UK and satisfactory pre-employment security screening which includes a DBS Check.

Full details on the pre-employment screening process can be requested from [email protected].

If you are applying for more than one role at the Turing, please note that only one Cover Letter can be visible on your profile at one time. If you wish to apply for multiple roles and do not want to overwrite your existing Cover Letter, please apply for the role using the button below and forward your additional cover letter directly to [email protected] quoting the job title.

The Alan Turing Institute is based at the British Library, in the heart of London’s Knowledge Quarter.

From 01 March 2022 we will trial a Hybrid Working Model for an initial six-month trial period. During this period, staff will be expected to work at our British Library office for a number of days per month, dependent on the requirements of the role. As a guide, we anticipate this will be between 2-4 days per month, but the hiring manager will be able to confirm this during the interview.