Department of Computer Science

Vacancies and studentships

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Current vacancies and studentships

PhD Scholarship in Semantic Internet of Things (IoT) for Pervasive Environment Assisted Robotics Intelligence Control

Principal supervisors: Dr Yongqiang Cheng and Professor Ping Jiang

The number of devices connected to the Internet is predicted to be 25 billion by 2015 and double this figure by 2020. The addressing, discovery of devices and information representation and sharing technologies are the fundamental requirements to support interoperability among the devices. The ontologies, semantic annotation etc. developed in Semantic Web have provided a promising solution for the IoT interconnections.

The pervasive environment assisted robotics intelligence control achieved via distributed sensing and processing has demonstrated advantages in terms of well posed information observation, simplified task planning, less on-board intelligence requirement and scalable computing resource in environment supporting ageing society for improved mobility and manipulability in their living environment.

A hierarchical architecture is often used to coordinate activities for autonomous control where three main functions SENSE, PLAN and ACT need to be designed and implemented accordingly. For example, to achieve an autonomous system helping elderly people on a wheelchair approaching and fetching an object, the traditional way is to carry out the functions by on-board controllers. This research will investigate proactive contribution of the object to the task by speaking a language understandable by the environment and mobile robot. Semantic communications will play a key role in the overall feedback control for SENSE, PLAN and ACT.

Being equipped with knowledge acquisition and understanding semantics and ontologies, only a minimum level prior knowledge is required by the robot. The environment will adapt to new objects and “Things” by asking and learning.

The project will investigate the contribution of Semantic IoT techniques to the overall pervasive intelligence control and identify the areas which can be conducted using semantics. Specifically, the following approaches will be envisaged:

1) Profiling. This includes the profiling of objects, tasks and behaviours.

2) Information fusion. Information exchange protocols between human, environment and robots.

3) Robotics control methodologies. Machine learning, context-aware intelligent control, robot behaviour network.

The start date is flexible and can range from September 2014 - February 2015. This full-time PhD Scholarship will include fees at the ‘UK/EU' student rate and maintenance (£13,863 in 2014/15) for three years, depending on satisfactory progress. For full information on the PhD project, see here.

For details of how to apply please, visit: 

Closing date for applications is 31st August 2014.

Want to join us in a high quality computer science research and education environment? Any vacancies will be listed here, so check back here from time to time to see what new job opportunities and studentships are available.

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