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PhD Studentship: Mobile Technologies in Healthcare

Employer
Global Academy Jobs
Location
United Kingdom
Closing date
Jul 20, 2016

Job Details

Details

The Department of Computer Science at the University of Sheffield is offering a fully funded 3-year PhD studentship on Mobile Technologies in Healthcare.

About the Department
The Department of Computer Science was established in 1982 and has since attained an international reputation for its research and teaching. In the recent Research Excellence Framework (REF2014), 45% of the research in the department was recognised as internationally excellent in terms of originality, significance and rigour, and another 47% as internationally world leading. These results place the department among the top 5 UK Computer Science departments for research excellence.

Background
Our society is continuously experiencing the pervasive presence of mobile devices with sophisticated sensing capabilities. This, combined with the Internet of Things, has made possible the capture and sharing of valuable data about individuals and their environment. This has a tremendous potential in healthcare not only at the patient’s level but also from a public health perspective.

In the clinical domain, the increase in health screening programmes and incidental findings of diseases have translated in a wide availability of heterogeneous data (images, physiological signals and medical test results). The combination of these allow the creation of sophisticated and highly detailed physiologically-based personalised models of diseases from which to derive new biomarkers with a large potential diagnostic and prognostic power.

Research Topic
This research project aims to combine the power of personalized modelling of diseases, mobile technologies and big data analytics to aid clinicians and patients to use effectively the wealth of data currently available. Incomplete, inaccurate and fragmented data need to be taken into account to quantify the uncertainty in the clinical recommendations. This will require to research on novel methodologies and solutions able to make sense of the wealth of data currently available. The primary clinical focus will be on serious long-term conditions affecting the cardiovascular system (e.g. hypertension, coronary heart disease, stroke), respiratory system (e.g. asthma, chronic obstructive pulmonary disease), or neuromusculoskeletal system (e.g. motor neuron disease, Parkinson’s disease). The successful applicant will be working in the field of Mobile Technologies, Clinical Decision Support, Health Informatics and Medical Knowledge Management to offer innovative, integrative and original solutions with great impact. A special emphasis will be put on the clinical validation and adoption of the researched solutions.

About INSIGNEO Institute and OAK Research Group
This studentship offers a unique opportunity to work in the context of the Virtual Physiological Human initiative, and will be supported by the expertise available within the INSIGNEO Institute for in silico Medicine, and the Organisations, Information and Knowledge (OAK) research group. The INSIGNEO Institute was launched publicly in May 2013 between the University of Sheffield (Faculties of Engineering and Medicine) and the Sheffield Teaching Hospitals NHS Foundation Trust. This position will enable the applicant to access INSIGNEO’s rich network of clinical contacts. Oak has a proved track record in big data, knowledge management and the use of mobile technologies with the purpose of monitoring and making sense of the environment.

The Candidate
Applicants should have, or expect to achieve, a minimum of an upper-second-class Honours degree (2.1 or above) or a Master´s degree (or equivalent) in Computer Science, Mathematics/Statistics, or related disciplines. Demonstrable knowledge of mobile/web programming, machine learning, and big data are desirable. Previous knowledge of the clinical subject area is not required, although the candidate should demonstrate an interest to learn those clinical aspects that are relevant to the project. Good analytical thinking, strong programming and interpersonal skills are essential.

How to Apply
Applicants need to apply before July 20, 2016 using the link below.
For more information on the PhD Programme at The University of Sheffield:
http://www.sheffield.ac.uk/postgraduate/research/sheffield

Please send informal enquiries to Dr. Maria-Cruz Villa-Uriol, m.villa-uriol@sheffield.ac.uk
Dr. Maria-Cruz Villa-Uriol’s webpage: http://staffwww.dcs.shef.ac.uk/people/M.Villa-Uriol/

 

Funding Notes

The award covers UK/EU tuition fees and a stipend at the standard UK research rate of £14,296 per annum. Funding is available for conference attendance and research visits to partner organisations.

UK applicants and EU applicants are eligible for a full scholarship award. International students are eligible to apply, however will have to pay the difference between home rate and international fees.

Company

Global Academy Jobs works with over 250 universities worldwide to promote academic mobility and international research collaboration. Global problems need international solutions. Our jobs board and emails reach the academics and researchers who can help.

"The globalisation of higher education continues apace, driving in turn the ongoing development of the global knowledge economy, striving for solutions to the world’s problems and educating a next generation of leaders and contributors."

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