The main objective of this project will be the development of a statistical estimation and control framework for fractional-order systems with applications to (population) pharmacokinetics, pharmacodynamics, and drug administration. In particular:
- We will propose novel parameter estimation methodologies for fractional-order systems and will explore the development of appropriate mixed-effect models for populations for patients
- We will develop methodologies that will allow us to quantify the inter- and intra-patient uncertainty
- We will develop control methodologies, based on model predictive control, that will allow the safe and optimal automatic administration of drugs to patients who are hospitalised (e.g., anaesthesia during surgery).
Project Key Words: Pharmacokinetics; Fractional-order dynamical systems; Estimation Theory; Mixed-Effect models; Uncertainty Quantification; Control theory.
Start Date: 01/10/22
Application Closing date: 28/02/22
For further information about eligibility criteria please refer to the DfE Postgraduate Studentship Terms and Conditions 2021-22 at https://go.qub.ac.uk/dfeterms
Applicants should apply electronically through the Queen’s online application portal at: https://dap.qub.ac.uk/portal/
A minimum 2.1 honours degree or equivalent in Computer Science or Electrical and Electronic Engineering or relevant degree is required.
This three year studentship, for full-time PhD study, is potentially funded by the Department for the Economy (DfE) and commences on 1 October 2022. For UK domiciled students the value of an award includes the cost of approved tuition fees as well as maintenance support (Fees £4,500 pa and Stipend rate £15,609 pa - 2022-23 rates to be confirmed). To be considered eligible for a full DfE studentship award you must have been ordinarily resident in the United Kingdom for the full three year period before the first day of the first academic year of the course.
For candidates who do not meet the above residency requirements, a small number of international studentships may be available from the School. These are expected to be highly competitive, and a selection process will determine the strongest candidates across a range of School projects, who may then be offered funding for their chosen project.