Research Associate

4 weeks ago

Edinburgh, United Kingdom University of Edinburgh Full time

**UE07: £36,333.00 - £43,155.00 Per Annum**

**College of Science and Engineering / School of Informatics**

**Fixed-Term Contract: Full Time - 35 Hours per Week**

**Fixed Term Contract until 30 **th **April 2024**

A Postdoctoral Research Associate to work within the UKRI Research Node on Trustworthy Autonomous Systems (TAS) Governance and Regulation, which is part of the UKRI Trustworthy Autonomous Systems

**The Opportunity**:
The TAS programme, funded through the UKRI Strategic Priorities Fund and delivered by the Engineering and Physical Sciences Research Council (EPSRC) brings together research communities and key stakeholders to drive forward cross-disciplinary, fundamental research to ensure that autonomous systems are safe, reliable, resilient, ethical and trusted. This opportunity will be undertaken under the TAS programme within the Research Node on TAS Governance and Regulation _- Better Governance by Design. _

The central purpose of the job is to develop methods that bring together techniques from formal methods, machine learning and simulation to address the problem of gathering evidence of trustworthiness of autonomous systems. The work will be focussed primarily in the domain of autonomous mobility and transportation systems, where there will also be the need to work closely together with legal scholars to understand regulatory codes and ways in which they can be mapped to formalizations for computational reasoning and analysis. The appointee may also be called upon to contribute to other case studies, such as in the healthcare domain, where similar issues arise.

The post is primarily open to someone with a background and PhD in AI, automated reasoning and formal methods, with prior practical experience of case studies being pursued in the Node, so that they may hit the ground running.

**Knowledge, skills and experience**

**Essential**:

- A PhD (or near completion) in AI, automated reasoning or similar area.
- Background and practical experience with methods including logic programming and formal verification.
- Background and practical experience with simulation environments for virtual testing, especially in the mobility and transport domain
- Knowledge of modern machine learning methods
- An excellent track record of publications in top tier conferences and/or journals in AI, automated reasoning and formal methods domains.
- Excellent proven programming and systems engineering skills
- Ability to work effectively as part of a team, to meet deadlines, and to report on project progress.

**Desirable**:

- Exposure to libraries and frameworks underpinning vision and robotics systems, and/or understanding of industrial processes for design and deployment of ML-based AI systems
- Demonstrated experience of the development and management of projects involving multiple stakeholders
- Ability to communicate complex information clearly, orally and in writing.

Full job description can be found here.

**As a valued member of our team you can expect**:
An exciting, positive, creative, challenging and rewarding place to work. We give you support, nurture your talent and reward success. You will benefit from a competitive reward package and a wide range of staff benefits, which includes a generous holiday entitlement, a defined benefits pension scheme, staff discounts, family friendly initiatives, flexible working and much more. Access our staff benefits page for further information and use our reward calculator to find out the total value of pay and benefits provided.

The University of Edinburgh holds a Silver Athena SWAN award in recognition of our commitment to advance gender equality in higher education. We are members of the Race Equality Charter and we are also Stonewall Scotland Diversity Champions, actively promoting LGBT equality.

If invited for interview you will be required to evidence your right to work in the UK. Further information is available on our right to work webpages.

On this occasion the University will not consider applicants requiring sponsorship for this role. International workers will therefore only be able to take up this role if they can demonstrate an alternative right to work in the UK.

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