PhD Studentship – Deadline: 16th December 2019
A fully funded PhD position is available to work on a project titled “Workflow management meets the Internet of Things”.
Overview of the Project
Digital workflows are models of coordination patterns for collaborative human and computer agents. They help streamline and optimize processes by clarifying standard practices, automating administrative tasks, monitoring progress in real-time, and providing predictive analysis and decision support.
IoT devices and sensors, for their part, can provide real-time, heterogeneous data that fully describe the current state of people, assets, machines, computers, resources, etc. at any given time, with little human intervention. Combining workflow management with such data can lead to a highly contextualized, complete view of the operations in any collaborative environment, as well as key insights for optimization and prediction.
The aim of the project is to research the integration of IoT data streams into different stages of the workflow lifecycle. This involves filtering, analysing, fusing and contextualising low level sensor data to generate high level event logs using both symbolic (rule-based) and statistical AI techniques. The project will be focused on the particular context of workflow management, including process mining, live monitoring, and conformance checking.
The candidate will also have the opportunity to apply their research in real-world problems, in collaboration with stakeholders from the industry and public sectors. Examples of application areas include but are not limited to:
- Patient pathways for health and social care
- Manufacturing flows for Industry 4.0
- Construction and public infrastructure
- Business process, workforce and supply chain management
- A Masters degree with Distinction (or a First Class honours BSc in exceptional cases) from a leading UK university or equivalent overseas qualification in computer science, artificial intelligence, mathematics, or other related subject.
- Strong analytical and programming skills.
- Good understanding/knowledge/experience in at least one of the following areas: workflow management, complex event/stream processing, logic-based reasoning (including model checking), process modelling/mining, sensor fusion
- Keen and demonstrable interest in at least one of the application areas is also desirable.
Studentship and eligibility
The studentship covers:
- Full time PhD tuition fees for a student with UK/EU nationality (£4,327 per annum, subject to annual increment).
- A tax free stipend of GBP £15,009 per year for 3.5 years.
- Additional programme costs of £1000 per year.
Applicants should apply via the University’s admissions portal (EUCLID) and apply for the following programme: PhD Informatics: CISA: Automated Reasoning, Agents, Data Intensive Research, Knowledge Management – 3 Years (Full-time).
Applicants should state “Workflow management meets the Internet of Things ” and the research supervisor (Dr. Petros Papapanagiotou) in their application and Research Proposal document.
Applicants must submit:
- Degree transcripts and certificates (for both BSc and MSc if applicable)(and translations if applicable)
- Evidence of English Language capability (where applicable).
- A short research proposal (max 2 pages)
- A full CV and cover letter describing your background, suitability for the PhD, and research interests (max 1 page).
- Two references (note that it the applicant’s responsibility to ensure reference letters are received before the deadline).
Only complete applications will progress forward to the academic selection stage.