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The Alan Turning Institute is hiring a Research Application Manager – Turing Research and Innovation Cluster in Digital Twins
Additional Information on the opportunity below:
Company Description
Named in honour of Alan Turing, the Institute is a place for inspiring, exciting work and we need passionate, sharp, and innovative people who want to use their skills to contribute to our mission to make great leaps in data science and AI research to change the world for the better.
Please find more information about us here
Position
The Alan Turing Institute and its partners have invested more than £26m in digital twin research and innovation across a range of dynamic projects, including developing foundational theory and applications in the engineering, environmental and social sciences. This represents one of the largest and most exciting portfolios of academic digital twin research and innovation in the UK. To build on this activity, we are now establishing a new Turing Research and Innovation Cluster in Digital Twins (TRIC: DT).
The primary objective of the TRIC: DT will be to democratise access to digital twin technology by providing open and reproducible computational and social tools freely accessible to the UK research and innovation communities. This vision will be achieved by establishing knowledge exchange between a central Turing hub and a network of collaborators across the academic and private sectors.
The Tools, Practices and Systems (TPS) programme at the Turing represents a cross-cutting set of initiatives which seek to build open source infrastructure that is accessible to all, and to empower a global, decentralised network of people who connect data with domain experts.
The Turing Way, set within the Tools, Practices and Systems (TPS) programme is an open source community-driven guide to reproducible, ethical, inclusive and collaborative data science. The project goal is to provide all the information that data scientists in academia, industry, government and the third sector need at the start of their projects to ensure that they are easy to reproduce and reuse at the end.
Role Purpose
We are recruiting two Research Application Managers who will work to embed the expertise in the TPS, Turing Way, and open source communities in the TRIC:DT, and to ensure that research outputs are adopted successfully across multiple domains within academia, government, the charity sector and industry.
The Research Application Manager (RAM) at the Turing builds and nurtures the connections with users of research outputs and brings back the user perspective to researchers and research engineers. RAMs work in a dedicated team focused on ensuring that research outputs such as open source tools are used successfully and sustainably by external stakeholders. The key goal for the RAMs will be to maximise the interoperability between different TRIC:DT outputs, as well as to ensure that those outputs are easily accessible and practically useful to diverse stakeholders across a broad partner ecosystem.
Duties And Areas Of Responsibility
- Drive the Institute’s efforts to maximise the impact of the TRIC:DT initiative. Ensure that the outputs of the research process are translated into appropriate real-world implementations and that they are used by stakeholders external to Turing.
- Identify appropriate potential users of research outputs (in collaboration with, and as approved by, the project PIs).
- Take ownership of the stakeholder engagement strategy.
- Conduct user research through user interviews or focus groups.
- Identify challenges that potential users have in deploying research outputs and co-create solutions.
- Facilitate project scoping discussions between researchers and stakeholder organisations.
- Promote the sustainable use of research outputs by facilitating high-quality analysis, modelling and reporting documentation, and training materials, in collaboration with researchers, developers and domain experts.
- Publish – as a lead or co-author – peer-reviewed research articles, open source training curricula, and/or perspective, opinion and commentary articles, as appropriate.
Requirements
- PhD or equivalent level of industry experience.
- Bachelor’s degree or a Master’s Degree in a discipline which provides a good basis for understanding statistics, data science and programming.
- Experience in stakeholder engagement, for instance, experience working with consortium partners, research collaborators, delivery partners, or clients.
- Experience with basic coding skills in any programming language.
- Knowledge of, or interest in learning about reproducible research
- Track record of delivering value for an organisation or stakeholder through use of data science, data visualisation or software engineering.
- Experience with using current software engineering tools for managing and coordinating distributed projects, such as git and github for distributed version control.
Other information
TERMS AND CONDITIONS
This full time post is offered on a fixed term basis for 36 months. The annual salary is £49,025 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 making sure our recruitment process is accessible and inclusive. This includes making reasonable adjustments for candidates who have a disability or long-term condition. Please contact us at adjustments@turing.ac.uk to find out how we can assist you.
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 them on 020 3970 2148, or email recruitment@turing.ac.uk.
CLOSING DATE FOR APPLICATIONS: 29 January 2023 at 23:59
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 recruitment@turing.ac.uk quoting the job title.
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 HR@turing.ac.uk.
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1 Reply
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I am a solo software engineer working on a project in the edutainment domain. And I see DT as a next step for my project. I am not at that stage yet. So will not be able to contribute much to your survey. But I have few suggestions from an engineer’s perspective to what I see as a requirement for the DT ecosystem to pickup steam and a fault line resulting from that and a possible approach to avoid that.
For the DT ecosystem to get a huge fillip some considerable efforts will be required to build a national cloud and networking backbone so that startups, Universities, SMEs and enterprises can not only experiment and prototype their ideas, but also deploy them so that their application(s)/product(s)/API(s) are available to others for use. With DT there will be massive amount of data generated at very high frequency and that data will have to flow between multiple points, in many cases across the country. So a high speed and resilient backbone and cloud infrastructure at national level for DT project is essential if the ecosystem has to flourish rapidly. One example is XR Cloud infrastructure at national level that the DT ecosystem can use to experiment with and then deploy their AR/VR/MR applications for say, medicine, defence, manufacturing, build, education etc.
Having said that, there is one big danger of this backbone being attacked and that could cripple the whole DT ecosystem. Now to avoid that we will need multiple redundancy systems in place so that if one system fails, then the other system can take over.
This is the core requirement if the DT ecosystem has to flourish rapidly.
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