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Date:
Wed, 6 Jun 2018 12:50:35 +0000
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Mary Ellen Foster <[log in to unmask]>
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Mary Ellen Foster <[log in to unmask]>
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The University of Glasgow welcomes applications for two funded PhDs in the area of Human-Robot Interaction.

Application deadline: 31 July (for both positions)

Position 1: Human-Robot Interaction for Oilfield Drilling Applications
Eligibility: UK/EU students only
Start date: 1 October 2018
Full details at https://www.findaphd.com/search/ProjectDetails.aspx?PJID=98605

      This project will investigate how such human-robot collaborative tasks can be carried out, concentrating on the communication aspects: how the robot communicates its intentions to the human, and how the human can query and interact with the robot's plan. The research will be driven by oilfield drilling applications, which involve control of complex equipment in a dynamic environment, with an increasing level of automation. Close coordination between the human crew and the automation system is often required, as is building trust between the human and the machine so that the crew understand why the machine acts the way it does and is confident it has taken all available information into account. The project is an EPSRC iCASE award with Schlumberger Gould Research and it is expected that the student will spend some time working with the company in Cambridge.

      The student should have excellent experience, enthusiasm and skills in the areas of natural language or multimodal interaction and/or automated planning and reasoning. Applicants must hold a good Bachelor's or Master's degree in a relevant discipline.


Position 2: Natural Language Generation for Social Robotics
Eligibility: UK/EU students, or international students who can cover remaining fees from other sources
Start date: 1 January 2019 (or earlier)
Full details at https://www.findaphd.com/search/ProjectDetails.aspx?PJID=98505

      In this PhD project, the student will investigate how advanced techniques drawn from natural language generation (NLG) can be combined with practical social robotics applications. The success of the integration will be evaluated through a combination of subjective user evaluations of the social robots as well as technical evaluations of the flexibility and robustness of the underlying systems. In addition to the scientific results of the PhD, an additional goal is to produce a reusable, open-source component for NLG in the context of social robotics, to allow other researchers in this area to benefit from the results of the research.

      The PhD student should have excellent experience, enthusiasm and skills in the areas of natural language processing, computational linguistics, multimodal interaction, and/or human-robot interaction. Applicants must hold a good Bachelor's or Master's degree in a relevant discipline.


For more information about both of these positions, please contact Dr Mary Ellen Foster [log in to unmask]<mailto:[log in to unmask]>

MEF

--
Dr Mary Ellen Foster, Lecturer in Computing Science
http://maryellenfoster.uk/


[University of Glasgow: The Times Scottish University of the Year 2018]

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