Research Fellow x 2 in Computer Science University of Warwick, Department of Computer Science United Kingdom

Research Fellow x 2


Vacancy Type/Job category Research Only

Department Computer Science

Salary £30,395 - £39,609 per annum

Location University of Warwick, Coventry

Vacancy Overview 2 x Fixed Term Contract Positions


1 x Fixed Term, Full-Time Contract for 12 months, with the possibility for extension.
1 x Fixed Term, Full-Time Contract for 18 months, with the possibility for extension.


36.5 hours per week (100% FTE)


We are seeking to recruit two Postdoctoral Research Fellows to work on agent-based behaviour modelling, norm emergence, and behavioural change, in the context of transport and mobility.


You will work on the EPSRC/Jaguar Land Rover funded project ‘TASCC: The Cooperative Car’, under the supervision of Prof Nathan Griffiths. Your focus will be on using agent-based techniques to model behaviour and norms in transport choices (e.g. driving, public transport, cycling or walking) and to investigate influencing traveller behaviour, for example encouraging active travel or use of less congested routes.


You will possess a PhD degree in Computer Science or a closely related discipline (or you will shortly be obtaining it). You should have a strong background in one or more of the following areas:


• multi-agent systems (MAS)
• agent-based modelling
• norms and conventions in MAS
• mechanism design in MAS
• behavioural science
• geo-spatial data mining or modelling
• machine learning


The transition to autonomous vehicles requires an understanding of emergent norms and conventions, and the ability to influence human and autonomous vehicle behaviour (e.g. for congestion, parking, and transportation mode). Existing behavioural science and agent-based techniques consider simple interactions or aggregate populations.


There is a need for a richer behavioural approach, in which influence is achieved through targeted nudging behaviours, incentives or sanctions. You will develop an agent-based model of traveller behaviour, within which you will design and evaluate strategies for incentivisation, sanctioning or market mechanisms, for influencing traveller choice.


You should have excellent programming abilities, and good written and verbal communication skills to enable you to communicate effectively with the project partners and contribute to writing scientific articles.


If you have not yet been awarded your PhD but are near submission or have recently submitted your PhD, any offers of employment will be made as Research Assistant on level 5 of the University grade structure (£29,515). Upon successful award of your PhD and evidence of this fact, you will be promoted to Research Fellow on the first point of level 6 of the University grade structure (£30,395 pa).


Candidates should provide with their application form, a CV and list of publications. Informal enquiries to are welcome.


Start date is expected to be April/May 2019, but this is subject to negotiation.


Closing Date: 23:59pm on Sunday 14th April

Job Description


To assist the project investigators in the development of agent-based models of traveller behaviour, market mechanisms, and strategies for incentivisation and sanctioning for influencing traveller choice. To contribute to the research climate within the department, to enhance its reputation, and to conduct and publish high-quality research.



Research and scholarship

1. In cooperation with other team members, contribute to the development of agent-based models of traveller behaviour and supporting market mechanisms.

2. In cooperation with other team members, develop strategies for incentivisation and sanctioning for influencing traveller choice.

3. Contribute to establishing a sound research base within the department in order to pursue individual and collaborative research of high-quality in the context of the project, making a full active research contribution to the department in line with research strategy.

4. Contribute to the evaluation of algorithms, models and software tools developed in the project.

5. Write or contribute to publications or disseminate research findings using other appropriate media.

6. To attend and present research finding and papers at academic and professional conferences, and to contribute to the external visibility of the department.


Administration and Other Activities

1. Participate in relevant professional activities, such as peer review.

2. To engage in continuous professional development.

3. Ensure compliance with ethical handling of data and health and safety in all aspects of work.

4. To contribute to the management of the project, through documenting research and engaging in quarterly reviews.


Person Specification

The Person Specification focuses on the knowledge, skills, experience and qualifications required to undertake the role effectively. This is measured by (a) Application Form, (b) Test/Exercise, (c) Interview, (d) Presentation.


Essential Criteria 1Possession of a PhD or an equivalent qualification in Computer Science or closely related discipline (or you will shortly be obtaining such a qualification) (a)
Essential Criteria 2Strong experience of working in multi-agent systems, agent-based modelling, norms and conventions, or closely related area. (a) (c)
Essential Criteria 3Ability to publish quality peer-reviewed papers on the topics related to 'The Cooperative Car' project. (a) (c)
Essential Criteria 4Ability to initiate, develop and deliver high quality research, and to publish in peer reviewed conferences and journals. (a) (c)
Essential Criteria 5Ability to work independently and as part of a team on research programmes. (a) (c)
Essential Criteria 6Good interpersonal skills. (c)
Essential Criteria 7Excellent programming skills. (a) (c)
Essential Criteria 8Good effective communication (oral and written) skills, presentation and training skills. (a) (c)
Essential Criteria 9Ability to write research reports and papers in styles accessible to academic audiences. (a) (c)
Essential Criteria 10Ability to initiate, plan, organise, implement and deliver programmes of work to tight deadlines. (a) (c)
Essential Criteria 11Possess a range of quantitative and/or qualitative research skills. (a) (c)
Desirable Criteria 1A strong background in one or more of the following areas: multi-agent systems (MAS), agent-based modelling, norms and conventions, mechanism design, behaviour science, machine learning, geo-spatial data analysis. (a) (c)
Desirable Criteria 2Experience of agent-based modelling. (a) (c)
Desirable Criteria 3Show a developing track record in producing high quality academic publications. (a) (c)
Desirable Criteria 4Evidence of quality research output from experienced candidates, or strong research potential from less experienced candidates. (a) (c)
Desirable Criteria 5Ability to write research reports in styles accessible to non-academic audiences. (a) (c)
Further ParticularsFor further information about the University of Warwick, please read our University Further Particulars.


For further information about the department, please visit the departmental website.


The Project:

We are at the start of, arguably, the most significant transition in motoring for a century: the complex operations involved in driving will increasingly be transferred from human to machine. The opportunities to deliver better safety, traffic efficiency, and more productive and pleasant journeys are enormous. But a revolution on this scale also, inevitably, faces great challenges:

(i) to seamlessly harness the human driver and autonomous control to optimise driving, and the experience of driving, (ii) to manage the `traffic ecology’ of human and autonomous drivers, using the large flows of data that new vehicles will generate,

(iii) to ensure seamless coordinated interactions between autonomous and human-driven vehicles, for safe and efficient navigation, amongst pedestrians and cyclists, and (iv) integrating autonomous vehicles into smart cities.

This project will focus on developing and applying techniques in data mining, machine learning, agent-based systems and behavioural sciences, to build cooperative software systems, and develop methods for predicting, modelling and influencing driver behaviour.


Our overarching aims are to improve the driving experience and increase safety and efficiency through enhanced autonomy and cooperation. Specifically, our objectives are to develop the algorithms, techniques and technical architecture required to:

1. Mine on-board, physiological and occupant device data to provide intelligent and autonomous vehicle features.

2. Share and mine off-board data from other vehicles and infrastructure to provide cooperative vehicle features.

3. Develop cooperation and profiling techniques to enable creation of incentives/sanctions and marketplaces, and to influence driver behaviour and inform OEM analytics.


These objectives will be addressed in our programme through three parallel research tracks:

Track 1. On-board data: The intelligent car - combining machine and human intelligence to optimise driving: Mining on-board data to create features for an intelligent car.

Track 2: Off-board data: Managing the traffic ecology through big data: Analysis of off-board data incorporating V2V and V2X sources (other vehicles and infrastructure) to provide advanced Self-Learning Car and smart-city features.

Track 3: Behaviour: Coordination and conventions in autonomous motoring: Using behavioural science and agent-based techniques to model behaviour and develop algorithms and strategies for influencing driver behaviour through virtual bargaining and incentives/sanctions.


The Post

The post-holder will be postdoctoral research associates working with Dr Nathan Griffiths, Prof Graham Cormode, Dr Abhir Bhalerao and Prof Stephen Jarvis at the University of Warwick. The focus of the post is data mining of on-board data. The post-holder will be based in the Department of Computer Science, and will work closely with team members in the Department of Psychology and Warwick Business School, and Jaguar Land Rover Research.


Right to work in the UK

If you do not yet have the right to work in the UK and/ or are seeking sponsorship under Tier 2 of the UK points-based immigration system
please click on this link which contains further information about obtaining right to work in the UK and details about eligibility for sponsorship under Tier 2.


Recruitment of Ex-Offenders Policy

As an organisation using the (DBS) Disclosure and Barring Service to assess applicants’ suitability for positions of trust, the University of Warwick complies with the DBS Code of Practice and undertakes not to discriminate unfairly against any subject of a Disclosure on the basis of a conviction or other information revealed. More information is available on the University’s Vacancy pages and applicants may request a copy of the DBS Code of Practice.


Other InformationThe University of Warwick provides an inclusive working and learning environment, recognising and respecting every individual’s differences. We welcome applications from individuals who identify with any of the protected characteristics defined by the Equality Act 2010.

Closing Date

14 Apr 2019

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