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Position: Research Fellow - Realising Accountable Intelligent Systems
Institution: University of Aberdeen
Location: Aberdeen, Scotland, United Kingdom
Duties: Realising Accountable Intelligent Systems (RAInS) project is a 3 year interdisciplinary collaboration between researchers at the universities of Aberdeen, Oxford and Cambridge that will explore what it means to realize future intelligent systems that are transparent and accountable. You will contribute to the development of a computational framework able to characterise intelligent systems in their broadest sense, including system components and technologies, the lifecycle of data, and runtime information flows. Activities will also include working with user partners to identify and understand application-specific characteristics, constraints and associated accountability challenges
Requirements: You should have a good knowledge of computational models of provenance, knowledge modelling and ontologies. Practical experience of the semantic web and some basic knowledge of machine learning is also essential. You will have a PhD or be about to complete a PhD in computer science, data science or a cognate discipline. Enthusiasm for digital technology and innovation relevant to society and the economy is essential
   
Text: Research Fellow The recently announced Realising Accountable Intelligent Systems (RAInS) project is a three year interdisciplinary collaboration between researchers at the universities of Aberdeen, Oxford and Cambridge that will explore what it means to realize future intelligent systems that are transparent and accountable. School/Section Natural & Computing Sciences Division Computing Science Staff Category Research Position Type Full Time Grade Grade 6 Salary From ?32,548 Salary to ?38,833 Closing Date 26/08/2018 Ref No NCS132R Documents Further Particulars and Person Specification.pdf (PDF , 826.85kb) Intelligent systems technologies are being utilised in more and more scenarios including autonomous vehicles, smart home appliances, public services, retail and manufacturing. But what happens when such systems fail, as in the case of recent high-profile accidents involving autonomous vehicles? How are such systems (and their developers) held to account if they are found to be making biased or unfair decisions? RAInS will examine what it means to realise accountable intelligent systems that are trusted by users and which satisfy citizens and law makers in terms of their auditability. To do this we will explore how computational models of provenance can be adapted to create an accountability infrastructure to underpin such systems. To help deliver our research programme we are now looking to appoint a postdoctoral research fellow to contribute to the development of a computational framework able to characterise intelligent systems in their broadest sense, including system components and technologies, the lifecycle of data, and runtime information flows. Activities will also include working with user partners to identify and understand application-specific characteristics, constraints and associated accountability challenges, and implementation of an appropriate solution to realise an accountability infrastructure. You should have a good knowledge of computational models of provenance, knowledge modelling and ontologies. Practical experience of the semantic web and some basic knowledge of machine learning is also essential. You will have a PhD or be about to complete a PhD in computer science, data science or a cognate discipline. Enthusiasm for digital technology and innovation relevant to society and the economy is essential as is the ability to work in a cross-disciplinary team. In addition, you should be able to effectively communicate with a range of stakeholders, including industry partners, government and user groups. As this post is funded by the EPSRC it is available from 1 October 2018 for 36 months. Salary will be at the appropriate point on the Grade 6 salary scale (£32,548 - £38,833) and negotiable with placement according to qualifications and experience. Consideration will be given to making an appointment at Research Assistant level for individuals in the final stages of completing their PhD, Grade 5 (£30,688 per annum). Should you require a visa to undertake paid employment in the UK you will be required to fulfil the minimum points criteria to be granted a Certificate of Sponsorship and Tier 2 visa. As appropriate, at the time an offer of appointment is made you will be asked to demonstrate that you fulfil the criteria in respect of financial maintenance and competency in English. Please do not hesitate to contact Mrs Heather Clark, HR Adviser (h.m.clark@abdn.ac.uk) for further information. Informal enquiries may be made to: Professor Peter Edwards ( p.edwards@abdn.ac.uk ) To apply online for this position visit www.abdn.ac.uk/jobs Job Reference Number: NCS132R The closing date for the receipt of applications is 26 August 2018. Promoting Diversity and Equal Opportunities throughout the University
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