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 postholder will work as part of the EPSRC Programme Grant PREMIERE (PREdictive Modelling with QuantIfication of UncERtainty for MultiphasE Systems) and will be part of the Data-Cenric Engineering programme at The Alan Turing Institute. It will be expected that the post-holder will interact closely with the Data-Centric Engineering programme, Imperial College London and associated academic and industrial partners.

ROLE PURPOSE

To undertake and disseminate internationally leading research into the development of a range of the next generation data driven models and applications to healthcare (Healthy Nation), energy (Resilient Nation), manufacturing and digital technologies (Resilient Nation, Productive Nation) as areas to drive economic growth in the context of the PREMIERE project. The Research Associate will collaborate with and strengthen the multi-disciplinary team of researchers already in place working on closely related projects. Ultimately the post holder will contribute to the delivery of a next generation data driven models including reduced order models, data assimilation and machine learning.

The postholder will develop computational methods to fuse data-driven and physics-driven methods for cross-sector challenges involving digital twins.

The successful candidate should hold a PhD in Engineering, applied mathematics, Computer Science or a related discipline. (S)he should have a strong background in programming; knowledge of machine learning and/or reduced-order modelling is desirable. (S)he should have strong knowledge of programming languages (e.g. C++, Python), as well as knowledge of the open-source software in machine learning.

DUTIES AND AREAS OF RESPONSIBILITY

• To develop machine algorithm and applications.
• To prepare publications for international journals when suitable.
• To present the work at national and international conferences.
• To report periodically on the progress of the work at meetings.
• To actively participate in the research activities.
• To ensure the validity and reliability of data at all times
• To maintain accurate and complete records of all findings
• To provide advice to other staff and students
• To develop contacts within the College and the wider community
• To promote the reputation of the Group, the Department and the College

Essential

• Hold a PhD (or equivalent professional experience) in Engineering, applied mathematics, computer science or a closely related discipline.
• Background in Uncertainty quantification approaches.
• Experience of integrations of machine learning with data assimilation
• Experience of modern programming in languages including Fortran, C++ and Python.
• Experience working within substantial scientific computational projects and large multi-disciplinary environments.
• Excellent verbal communication skills and the ability to deal with a wide range of people.
• Excellent written communication skills and the ability to write clearly and succinctly for publication.

Desirable:

• Ability to direct the work of a small research team and motivate others to produce a high standard of work.
• Creative approach to problem-solving.

Please see attached 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 on 020 3862 3575 or 0203 862 3340, or email [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.

CLOSING DATE FOR APPLICATIONS: Wednesday 15 September 2021 at 23:59.

TERMS AND CONDITIONS

This full-time post is offered on a fixed term basis until 31 October 2023. The annual salary ranges from £37,000-£42,000 (depending on experience) 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 £34,500 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]