英国阿尔斯特大学招全额博士生-医学信息康复等方向

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所属分类:健康智库

Fully funded PhD studentships, available for International and home students

全额博士奖学金,支持国际学生,免学费,生活费每年14,553英镑以上,

要求: 硕士毕业(即将毕业),雅思6.0以上,计算机相关专业,本科及硕士成绩优秀,

在线申请:https://www.ulster.ac.uk/doctoralcollege/postgraduate-research/apply ,最好先和郑老师联系,联系邮箱h.zheng@ulster.ac.uk

三个项目:

1.康护机器人的推理智能算法研究;

2. 微生物信息学;

3. 移动健康技术应用于预防过度肥胖症的研究。 详情见下面:

contact email: h.zheng@ulster.ac.uk , https://www.ulster.ac.uk/staff/h-zheng 

Situation reasoning and task planning in human-robot systems to support independent living

https://www.ulster.ac.uk/doctoralcollege/find-a-phd/237802

Summary

Caring for an ageing population is one of the biggest challenges in many developed and developing countries, and the dramatically increasing elderly population challenges have changed the traditional caregiver-centered care model. Advances in sensors, robotics, pervasive computing and mobile technology have provided a new care model to improve independent living and the quality of life in home smart environments. Recent years, service robots have been introduced to provide independence and support to vulnerable individuals living in their own homes.

This project aims to investigate how artificial intelligence (AI) and machine learning can improve the communication in human-robot autonomous systems with focus on situation reasoning, task planning, and behaviour pattern recognition. Algorithms will be developed to address the challenges in service robots, for example, detecting ambiguities in situations and providing appropriate response.

Specific objectives of the project are:

1)To investigate mobile robotic technologies that support independent living;

2)To develop algorithms for situation reasoning and task planning;

3)To apply and develop machine learning algorithms to identify human behaviour patterns; and

4)To improve human-robot interaction

Drawing on knowledge from other domains, the student will develop radical innovations which show promise for integration into future or existing home support systems. They will explore state-of-the-art artificial intelligence algorithms and robotic techniques. The project will be carried out in the Pervasive Computing Research Group. It is envisaged that external clinical and industrial collaborations will support the development of this project. Strategic fit with current research.

This proposal aligns with the research theme of Healthy Community in the Pervasive Computing Research Group and will be integral to the H2020 RISE project Sensecare with opportunity to travel and work alongside project partners.

Anticipated research outcomes

1)Algorithms situation reasoning, task planning and behaviour pattern detection

2)Prototype system of service robot to demo the feasibility study

3)Publication of conference and journal papers

References

Forlizzi, J. and DiSalvo, C., 2006, March. Service robots in the domestic environment: a study of the roomba vacuum in the home. In Proceedings of the 1st ACM SIGCHI/SIGART conference on Human-robot interaction (pp. 258-265). ACM.

Lemaignan, S., Warnier, M., Sisbot, E.A., Clodic, A. and Alami, R., 2017. Artificial cognition for social human–robot interaction: An implementation. Artificial Intelligence, 247, pp.45-69.

Fischinger, D., Einramhof, P., Papoutsakis, K., Wohlkinger, W., Mayer, P., Panek, P., Hofmann, S., Koertner, T., Weiss, A., Argyros, A. and Vincze, M., 2016. Hobbit, a care robot supporting independent living at home: First prototype and lessons learned. Robotics and Autonomous Systems, 75, pp.60-78.

Essential Criteria

  • Upper Second Class Honours (2:1) Degree from a UK institution (or overseas award deemed equivalent via UK NARIC)

Desirable Criteria

If the University receives a large number of applicants for the project, the following desirable criteria may be applied to shortlist applicants for interview.

  • First Class Honours (1st) Degree
  • Masters at 70%

Funding

Vice Chancellors Research Scholarships (VCRS)

The scholarships will cover tuition fees and a maintenance award of not less than £14,553 per annum for three years (subject to satisfactory academic performance). Applications are invited from UK, European Union and overseas students.

Department for the Economy (DfE)

The scholarships will cover tuition fees at the home rate and, for applicants with UK residence only, a maintenance allowance of not less than £14.553 per annum for three years. EU residents may also apply but, if successful, will receive fees only.

Computational approaches to the analysis of microbial communities

https://www.ulster.ac.uk/doctoralcollege/find-a-phd/237789

Summary

Background and Challenges

As one of the most complicated anaerobic microbial ecosystems in nature, the rumen provides an environment with stable and favorable physiological conditions for microbial growth and fermentation. A better understanding of the composition of rumen microbial communities and the association between host genetic and microbial activities has important applications and implication in bioscience. Our recent research indicates that integrated metagenomics and network analysis holds great promises in this endeavour thanks to their abilities to reveal the full extent of microbial gene diversity and complex microbial interactions. It is envisaged that inter-disciplinary, inter-institutional and industrial collaborations provided by ongoing projects will support the development of the project. During the lifetime of the project there will be opportunities to spend period of secondments to some other partners with a top–up allowance of up to €2,000 per month to support travel, accommodation and subsistence costs.

Aim and Objectives

Based on the collaboration with members within the MetaPlat consortium (http://www.metaplat.eu), this project aims to develop a computational pipeline for the analysis of rumen microbial community. The main objectives include

(1) to understand the relationship between host genetic and microbiome composition and

(2) to identify networks of microbial genes associated with certain traits such as methane emissions.

Anticipated Research Outcome/Impact

A computational pipeline for network-based analysis of metagenomics data will be developed. The research will lead to both journal and conference publications. In addition, completion of the project will equip the student with a combination of programming, biomedical and data analytical skills that are highly sought after in industry and thus can significantly enhance the employability.

Essential Criteria

  • Upper Second Class Honours (2:1) Degree from a UK institution (or overseas award deemed equivalent via UK NARIC)

Desirable Criteria

If the University receives a large number of applicants for the project, the following desirable criteria may be applied to shortlist applicants for interview.

  • First Class Honours (1st) Degree
  • Masters at 70%

Funding

Vice Chancellors Research Scholarships (VCRS)

The scholarships will cover tuition fees and a maintenance award of not less than £14,553 per annum for three years (subject to satisfactory academic performance). Applications are invited from UK, European Union and overseas students.

Department for the Economy (DfE)

The scholarships will cover tuition fees at the home rate and, for applicants with UK residence only, a maintenance allowance of not less than £14.553 per annum for three years. EU residents may also apply but, if successful, will receive fees only.

Development of a web-enabled mobile training system for health professionals to enhance their communication among patients who are overweight/obese

https://www.ulster.ac.uk/doctoralcollege/find-a-phd/238428

Summary

Background: This PhD project addresses a priority health problem of obesity using advances in technologies. This connected health and healthy communities project proposes to develop a web-based M-training system for primary-care and community-based health professionals (i.e. GPs and nurses) to enhance their ability to communicate on bodyweight issues among patients who are overweight and obese in clinical practice. Rationale: Obesity is a global public health issue that must be addressed (World Health Organization, 2017).

Obesity is also a key public health issue in Northern Ireland, as over a quarter of adults (27%) were classed as obese with a further 36% classed as overweight (Department of Health, 2017). Findings from the Weight Care Project (lead by the Chair of this proposed supervisory team) highlighted that health professionals need continued support and training to enable them to effectively address weight-related issues in a sensitive manner that is acceptable to the patient (Moorhead et al. 2013). E-learning is an useful medium for providing training, which has a wide reach and can be achieved at minimal costs. However, at present no evidence-based e-learning tool is available to address these identified training needs (Moorhead et al. 2013). Research Question: Does a web-based M-training system for primary-care and community-based health professionals enhance their ability to communicate on bodyweight issues among patients who are overweight and obese in clinical practice?

Aim: To develop and evaluate web-based M-training system for primary-care and community-based health professionals to enhance their ability to communicate on bodyweight issues among patients who are overweight and obese in clinical practice.

Methods to be used: The project will progress in accordance with the guidelines in the Medical Research Council (MRC) Framework for Developing and Evaluating Complex Interventions, 2008. This project will consist of four stages:

Stage 1. Systematic literature review - This will be completed to inform the design and development of the M-training system for primary-care and community-based health professionals, and the trial design.

Stage 2. Designing the M-training system - To design a M-training system for primary-care and community-based health professionals to enhance their ability to communicate on bodyweight issues among patients who are overweight and obese in clinical practice.

Stage 3. Development of the M-training system- The M-training system will consist of two components, education and decision support.

Stage 4. Evaluation of the M-training System –  The evaluation will be in two parts, 1. Lab-based, and 2. Pilot intervention study. The purpose of the lab-based work will be to test the usability of the M-Training system. The pilot study will determine whether the system can feasibly enhance health professionals’ ability to communicate on bodyweight issues among patients who are overweight and obese in clinical practice.

Outcome: The expected outcome and impact of this project will be an evidence-based M-training system for training and supporting primary-care and community-care health professionals on communicating bodyweight issues within clinical practice.

References

Department of Health (2017).  Health Survey Northern Ireland: Results from the 2016/2017 Survey.  Belfast: Department of Health.

Moorhead, S.A., Coates, V.E. Gallagher, A.M. Nolan, G. Murphy, K., Hazlett, D.E.  Obesity communication among patients by health professionals: Findings from the Weight Care Project. Health, 2013, 5: 8A3: 100-109.

Medical Research Council (2008) Framework for Developing & Evaluating Complex Interventions (new guidance). MRC. Available from: http://www.mrc.ac.uk/documents/pdf/complex-interventions-guidance/ World Health Organization. (2017) Obesity and overweight Factsheet. www.who.int/mediacentre/factsheets/fs311/en/ Accessed on 015/11/17.

Essential Criteria

  • Upper Second Class Honours (2:1) Degree from a UK institution (or overseas award deemed equivalent via UK NARIC)

Desirable Criteria

If the University receives a large number of applicants for the project, the following desirable criteria may be applied to shortlist applicants for interview.

  • Experience using research methods or other approaches relevant to the subject domain
  • Relevant professional qualification and/or a Degree in a Health or Health related area

Funding

Vice Chancellors Research Scholarships (VCRS)

The scholarships will cover tuition fees and a maintenance award of not less than £14,553 per annum for three years (subject to satisfactory academic performance). Applications are invited from UK, European Union and overseas students.

Department for the Economy (DfE)

The scholarships will cover tuition fees at the home rate and, for applicants with UK residence only, a maintenance allowance of not less than £14.553 per annum for three years. EU residents may also apply but, if successful, will receive fees only.

 

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