Research Associate, Trustworthy Digital Identity

Alan Turing Institute London United Kingdom Research Programmes
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Company Description

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.

Position

This role sits within the Finance and Economics Programme at the Institute and the particular project this role will be involved in is the Trustworthy Digital Infrastructure for Identity project. This role works closely with the Principal Investigators on this project, the Technical Development Manager and other PDRA s and programme management staff on the team.

ROLE PURPOSE

The provision of digital infrastructure for identity systems 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, in a cost-effective and efficient manner. However, protecting citizens’ rights when such systems are deployed requires the development of novel and appropriate socio-technical interventions incorporating robust security and privacy measures.

We are seeking a candidate for a research position that involves developing explainable AI techniques to support the trustworthiness of identity systems. The successful candidate will have experience in developing and analysing explainable AI algorithms. Understanding their application in the field of biometrics would be beneficial. You will have experience/knowledge of research that has been used to address known problems such as bias and transparency.

DUTIES AND AREAS OF RESPONSIBILITY

  • Develop and apply state-of-the-art robust machine learning methodologies
  • Scope, pilot and deliver high-quality research activity under the direction of the Principal Investigator and Programme Director:
  • Drive collaboration with academic experts and broader research partners from across the Turing and the wider Turing community
  • Publish and disseminate high-quality research papers and publications detailing research output and project case studies.
  • Become part of the broader partnership team and be expected to engage on a regular basis with the partner.

Other duties:

  • Present, disseminate and explain our work at internal and external events hosted by Turing and/or the partner.
  • Contribute to the life of the Institute and support its community.

Requirements

  • PhD in Mathematics, Computer Science or a closely related discipline.
  • Experience in design, development and implementation of research software tools and libraries, such as Python, Java, GPU programming (Tensorflow, PyTorch, etc), symbolic verification (SAT, SMT)
  • Ability in mathematical or quantitative methods
  • Experience in publishing research papers, code libraries or technical reports and giving presentations or classes on technical subjects.
  • Track record of the ability to initiate, develop and deliver high quality research aligned with the research strategy
  • Excellent writing skills and proven ability to communicate complex, specialist or conceptual information/research findings clearly and persuasively to diverse audiences

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

Other information

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 on 020 3862 3575 or 0203 862 3340, or email [email protected].

CLOSING DATE FOR APPLICATIONS: 14 August 2022 at 23:59

TERMS AND CONDITIONS

This full-time post is offered on a fixed-term basis until 31 December 2023. The annual salary is £38,850 - £46,200 plus excellent benefits, including flexible working and family friendly policies, https://www.turing.ac.uk/work-turing/why-work-turing/employee-benefits

Candidates who have not yet been officially awarded their PhD will be appointed as Research Assistant at a salary of £36,236 per annum.

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.