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 Senior Systems Designer - Privacy Enhancing Technologies, will work for a funded program of research, for new digital identity systems, based at the Alan Turing Institute.This role will oversee the technical and architectural systems design work of the PDRAs' working on the projects in-line with stakeholders requirements.

Duties and Responsibilities

ID-as-a-Service is an emerging requirement in many modern societies across the developed and developing world. New techniques for deployment at scale promise to improve the assurance of users' rights to access to various digital and physical resources, vastly more easily, cheaply and quickly. The post holder will:

• Research into existing and new tools and techniques to support ID-as-a-service, that meets goals for privacy for users, and does not lead to unintended consequences.
• Influence the design of future identity systems around the world - there are many pressures on the design of such systems, and the role should prove fascinating

Essential

• A PhD in Computer Science, or a related discipline.
• Experience of or aptitude for rigorous computer system and security design, implementation, measurement and evaluation, including experiment design, data capture, and data analysis. This may have been gained in commercial or industrial settings as well as through production of academic papers.
• Good to substantial Knowledge of Privacy Enhancing Technologies capabilities and limitations is essential, especially basic privacy technologies, but also newer technologies, e.g. secure enclaves, distributed ledger tech, differential privacy, and secure multi-party computations (for example).
• Specific experience with design of digital identity systems including newer ideas in self-sovereign systems and distributed and decentralised systems would be a bonus.
• Ability to communicate clearly in English, in both written and spoken forms.
• Experience of working independently and in medium to large-scale teams, on collaborative and interdisciplinary research projects with academic and industrial partners. Dealing with users in the real world will be very important.
• Evidence of an excellent publication record, commensurate with level of experience.

Candidates from outside academia may be able to evidence this by providing examples of

technical writing or system design and implementation, published or distributed through channels other than academic conferences and journals,

e.g., blog posts and/or software repositories.

Desirable

• Familiarity with data science techniques and applications, including machine learning and statistics.
• Other language skills may be an asset.
• The post holder may be required to travel within the UK and internationally.

TERMS AND CONDITIONS

This full-time post is offered on a fixed term contract until 2022, with possibility for extension (funding permitting).starting as soon as possible. Happy to Talk Flexible Working

The salary range offered for this role is £50,000 A competitive benefits package is also available (https://www.turing.ac.uk/work-turing/why-work-turing/employee-benefits).

APPLICATION PROCEDURE

If you are interested in this opportunity, please click the apply button below. You will need to register on the applicant’s portal and complete the application form including your CV, covering letter and contact details for your referees.

Along with a CV and covering letter, please submit a research output to support your application, for us to read before the interview. This might be a link to a selected research or technical paper, a technical blog post or a chapter of a thesis or dissertation, but we particularly encourage applicants to submit a link to a public version control tool such as GitHub containing an example analysis script or research software library you have made a significant contribution to.

If you have questions or would like to discuss the role further with a member of the Institute’s HR Team, please contact them on 0203 862 3394 or 020 3862 3357, or email [email protected]. If you would like to submit your application in a different format, please email [email protected].

Applicants who would like to receive this advert in an alternative format or who are unable to apply online should, please email [email protected].

Secondments from University partners are welcome.

Closing date for applications: Sunday 23 Febraury 2020