Department of Computer Science

Vacancies and studentships

Go beyond the obvious and experience a University that exceeds expectations. Building on our impressive reputation for academic achievement, we’re firmly focused on the future and that means supporting excellence in all its forms. We have vision, we have purpose, and perhaps most importantly, we have a plan – this is your chance to be part of it.

We’re investing in the future and we’ve an ambitious strategy for the years ahead – if you have too, come and join our journey of development and discovery.

Wherever your skills lie, whatever your background, you’ll believe in pushing boundaries and going beyond in everything you do. And with so many opportunities here at the University of Hull, you’ll be as excited as we are by the future potential that lies ahead.

The University has invested in a significant and substantial expansion and aims to recruit over 50 new academic posts this year.

Current vacancies and studentships

PhD Scholarship in Predictive Algorithms for Telehealth Service Improvement and Evaluation

An interdisciplinary research project between the Health Technology, Innovation and Intervention research group (Faculty of Health and Social Care) and Intelligent Systems group (Computer Science - Faculty of Engineering and Science) at the University of Hull in collaboration with Philips Research UK (Cambridge).

The University is currently offering a PhD scholarship, jointly funded by the EPSRC and Philips Research, on development of algorithms to support telehealth services. The studentship would last 3.5 years and the recipient would receive a stipend of up to £17,776 per annum.

This is an inter-disciplinary project between the Faculty of Health & Social Care and the Faculty of Engineering and Science, working in close collaboration with Philips (based in Cambridge), and would focus on the development of predictive algorithms to improve the efficacy of telehealth service delivery and evaluation in chronic disease management. Telehealth (or remote patient monitoring) is being introduced as a solution to meet the growing health management needs of patients with chronic disease. Such services are being deployed at increasing scale but the tools to evaluate their efficacy and cost-effectiveness in a timely manner are limited. This project will use clinical data sources related to heart failure and telehealth to explore the limitations of reporting clinical outcomes using conventional time-to-first-event methods. The project will include the identification, and/or development and comparison of novel end-point definitions (e.g. the win-ratio and patient journey), repeat event models (e.g. Poisson and longitudinal logistic regression) and cost-effectiveness analytical methods.

Applicants should have a 1st class or 2(i) degree in (bio)medical informatics, computer science, or a related subject, and should also have strong mathematical and programming skills. A keen interest in clinical predictive modelling, clinical epidemiology, biostatistics, and health economics would also be beneficial.

For further details on this opportunity, and to apply, please visit the full EPSRC Industrial CASE Studentship advertisement on the Graduate School's website. The closing date for applications is 30th April 2014 but may close earlier at the University’s discretion.

For informal enquiries, please contact Dr Kevin M Goode ( or Dr Chandra Khambampati (

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 studentship will start in September 2014. This full-time PhD Scholarship will include fees at the ‘UK/EU' student rate and maintenance (£13,8636 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 2nd June 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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