• BACKGROUND: Driven by networked Electronic Health Record systems, Artificial Intelligence, real-time data from wearable devices with an overlay of invisible user interfaces and improved analytics, a revolution is afoot in the healthcare industry. Over the next few years, it is likely to fundamentally change how healthcare is delivered and how the outcomes are measured. The focus on collaboration, coherence, and convergence will make healthcare more predictive and personalized. That revolution is called HealthCare 4.0. Data portability allows patients and their physicians to access it anytime anywhere and enhanced analytics allows for differential diagnosis and medical responses that can be predictive, timely and innovative. HealthCare 4.0 allows the value of data more consistently and effectively. It can pinpoint areas of improvement and enable more informed decisions. What it also does is help move the entire healthcare industry from a system that is reactive and focused on fee-for-service to a system that is value-based, which measures outcomes and ensures proactive prevention.
• AIM and SCOPE: The aim of this project is to develop an agent-based model of the National Healthcare System, its stakeholders, and their interactions. This includes the analysis of patient flow across service providers and the distribution of medical supplies required. The model is to be used to identify bottlenecks of today’s healthcare system and its wider supply chain and to devise an improved next-generation healthcare and supply chain system based on digitization and Industry 4.0 base-technologies to enable real-time monitoring, status dashboards, and digital twins for the simulation of interventions with the aim to increase system robustness, resilience, and agility in responding to disruptive events that require rapid scalability or redistribution of services and supplies at local or national level.
• RESEARCH ENVIRONMENT: You will work within a vibrant and rapidly growing community of researchers in the Systems Realization Laboratory in the School of Engineering at the University of Liverpool. This may include participation in a larger Systems Realization Partnership programme with our collaboration partners in the United States. In addition, you will have the opportunity to collaborate with colleagues from our Virtual Engineering Centre (VEC), the leading UK centre for Virtual Engineering expertise, which delivers technology development, the latest research, training and knowledge transfer around the application and adoption of advanced modelling, simulation and 3D immersive visualisation in support of product design and manufacturing innovation.
• FUNDING: This is a self-funded project. All fees and living expenses need to be covered by the candidate or provided through government of industry sponsorship if applicable.
• REQUIRED SKILLS: We are seeking candidates with a minimum of 2:1 (or equivalent) first degree in Mechanical Engineering, Systems Engineering, Computer Science or any other related subject. Experience in one of more of the following areas is required: systems engineering, modeling and simulation, digital technologies, data analytics. Strong communication and team working skills are essential as well.
• HOW TO APPLY: Please apply through the University of Liverpool’s online system for a PhD in Engineering (https://www.liverpool.ac.uk/study/postgraduate-research/how-to-apply/
) with a full Curriculum Vitae, covering letter, research proposals, and contact details for at least two academic references. We will only consider serious candidates who are applying for a full-time postgraduate position after conducting an online interview.
For any enquires please contact:
Prof. Dirk Schaefer ([email protected]
Dr Jelena Milisavljevic-Syed ([email protected]