Vacancy ID:
3128
Location:
Leicester
Department:
Mathematics and Actuarial Science
Vacancy terms:
Full time, fixed term contract for 36 months
Salary details:
Grade 7 £34,804 to £40,322 per annum
Hours per week:
37.5
30 May 2021
About the role

The School of Mathematics and Actuarial Science are seeking to appoint two Post-doctoral Research Associates for a research team for the UKRI-funded project: Adaptive, Robust, and Resilient AI Systems for the FuturE (ARaISE).

The Associates will be tasked with carrying out research involving the development theory, methods, and algorithms enabling certified robustness of data-driven AI systems and certified learning. The Associates are expected to produce excellent internationally leading outputs and will be expected to contribute to the dissemination of the project results and assist with building and gather evidence of impact.

The Project

The Office for Artificial Intelligence (AI) estimates that AI could add £232 billion to the UK economy by 2030, increasing productivity in some industries by 30%. However, to be truly transformational, the integration of AI throughout the global economy requires understanding and trust in the AI systems deployed. The super-human ability for decision-making in new AI systems requires huge volumes of data with thousands of variables, dependencies and uncertainties. Unregulated application of uncertified data-driven AI, limited by data bias and a lack of transparency, brings huge risks and necessitates a community-wide change. AI systems of the future must also be able to learn on-the-job to avoid becoming a high-interest credit card of huge technical debt. There is thus a timely and unmet need for a new theory and framework to enable the creation and analysis of data-driven AI systems that are adaptive, resilient, robust, explainable, and certifiable, with provable and practically relevant performance guarantees.

This ambitious UKRI-funded project, ARaISE (https://gow.epsrc.ukri.org/NGBOViewGrant.aspx?GrantRef=EP/V025295/1), aims to deliver radically new frameworks and theories for the creation of beneficial data-driven AI systems advancing far beyond classical theories by including certifiable robustness and learning in the problem setting. These new theories will enable a formal understanding of the fundamental limits of large-scale data-driven AI, independent of the application area and learning algorithms. This will enable AI practitioners, through understanding such limitations, to influence policy and prevent incidents before they occur.

The project involves close collaboration with external partners: AstraZeneca, BlueSky International Limited, CGI Group (UK), NIHR Leicester Biomedical Research Centre, NTT DATA Ltd UK, Synoptix Limited, Tangi0 Limited, Toyota (North America), Trauma Audit Research Network (TARN), Uni Hospitals of Leicester NHS Trust, and Visual Management Systems Limited.

About you

You will have a PhD, or nearly completed PhD degree in Mathematics, Computer Science, or Engineering.

Other essential requirements:

  • A track record in research and publication, suitable for career stage
  • Appropriate knowledge and familiarity with Data Analysis, Machine Learning, and Pattern Recognition algorithms
  •  Knowledge and ability to build, train, and validate Machine Learning models in Python & Tensorflow, or MATLAB
Desirable requirements:
  • Good understanding and appropriate knowledge of Statistical Learning Theory,  Numerical Analysis, Dynamical Systems Theory, Statistical Physics
  • Applied programming skills (e.g. MATLAB, C, C++, Java)
  • Knowledge of Applied Statistics
  • Ability to work independently and to exercise own initiative where required Good oral, numerical, and written communication skills
  • Strong motivation and interest in the subject area
Additional information

Informal enquiries are welcome and can be made to Professor Ivan Tyukin at I.Tyukin@le.ac.uk.    

In addition to salary, successful candidates will receive:

  • research travel allowance of £4,000 per year to attend national and international meetings, visit research partners and stakeholders, and world-leading AI research centres
  • dedicated Responsible Research and Innovation (RRI) training
  • access to appropriate computational facilities including HPC facilities and GPU workstations to carry out their work

Successful female candidates will have a further budget of £2,200 to attend a Women in Leadership training programme.

Applications from individuals from all backgrounds and all career paths are welcome. We are particularly encouraging applications from women and researchers from underrepresented backgrounds and ethnic minorities. We believe that equality, diversity and inclusion is integral to a successful modern workplace and we have a culture that recognises and values the diverse contributions of our staff which benefits everyone. 

The University of Leicester has been changing the world, and changing people’s lives, for 100 years. When you join us, you’ll become part of a community of Citizens of Change, which includes not only our staff and our current students but also thousands of Leicester graduates around the world.

As a diverse and forward-thinking employer, we embed the principles of equality, diversity and inclusion into everything we do. That includes not just our core missions of teaching and research, but also our support for staff, students and our local community.

We’re committed to the wellbeing of all our staff and to the sustainability of our environment, on our campus and beyond. We offer a competitive salary package, excellent pension scheme and a generous annual leave allowance, along with opportunities to develop your career in a supportive and collaborative environment.

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