• London School of Economics and Political Science Featured PhD Programmes
  • University of East Anglia Featured PhD Programmes
  • University of Leeds Featured PhD Programmes
  • University of Glasgow Featured PhD Programmes
  • National University of Singapore Featured PhD Programmes
  • Cardiff University Featured PhD Programmes
  • University of Oxford Featured PhD Programmes
  • University of Leeds Featured PhD Programmes
University of Bristol Featured PhD Programmes
EPSRC Featured PhD Programmes
King’s College London Featured PhD Programmes
King’s College London Featured PhD Programmes
University of Bristol Featured PhD Programmes

Model-reduction based optimisation and model predictive control for multi-scale chemical and biochemical systems

This project is no longer listed in the FindAPhD
database and may not be available.

Click here to search the FindAPhD database
for PhD studentship opportunities
  • Full or part time
    Prof Constantinos Theodoropoulos
  • Application Deadline
    Applications accepted all year round
  • Competition Funded PhD Project (Students Worldwide)
    Competition Funded PhD Project (Students Worldwide)

Project Description

Ph.D. studentships are currently available for research on optimization and model predictive control methodologies for multi-scale systems. The project will place a particular focus on microscopic/stochastic systems with applications in industrial biotechnology and predictive microbiology. The project builds on the group’s years of experience on model reduction methodologies for optimisation and control of systems described by large sets of nonlinear partial differential equations and of multi-scale systems dynamically coupling macroscopic and micro/mesoscopic simulations.

See http://www.manchester.ac.uk/research/k.theodoropoulos/publications for a list of our relevant publications.

There are funding opportunities available based on the academic track-record of applicants, and evidence of research potential.
Competition for funds is expected to be extremely high.

Research will be supervised by Prof. Theodoropoulos and involves the development of novel algorithms based on model reduction techniques for systems ranging from the microscopic (molecular/atomic level) to the mesoscopic scale.

Candidates should ideally have an MSc and a 1st class BSc in Chemical Engineering or a related field such as Physics, Applied Mathematics, Physical Chemistry etc. and should have computational modelling experience and good knowledge of a programming language (FORTRAN and/or C/C++).
Successful candidates will be enrolled in the 3-year Ph.D. program of the School of Chemical Engineering and Analytical Science.

Funding Notes

This research project is one of a number of projects at this institution. It is in competition for funding with one or more of these projects. Applications for this project are welcome from suitably qualified candidates worldwide.

References

1. Bonis, I, Xie, W & Theodoropoulos, C 2014, 'Multiple model predictive control of dissipative PDE systems' IEEE Transactions on Control Systems Technology, vol 22, no. 3, 6566038, pp. 1206-1214. DOI: 10.1109/TCST.2013.2270182.

2. Bonis, I, Xie, W & Theodoropoulos, C 2012, 'A linear model predictive control algorithm for nonlinear large-scale distributed parameter systems' AIChE Journal, vol 58, no. 3, pp. 801-811. DOI: 10.1002/aic.12626.

3. Theodoropoulos, C 2011, Optimisation and linear control of large scale nonlinear systems: A review and a suite of model reduction-based techniques. in Lecture Notes in Computational Science and Engineering|Lect. Notes Comput. Sci. Eng.. vol. 75, Lecture Notes in Computational Science and Engineering, vol. 75, Springer Verlag, Berlin-Heidelberg, pp. 37-61, International Research Workshop: Coping with Complexity: Model Reduction and Data Analysis, Ambleside, 1 July. DOI: 10.1007/978-3-642-14941-2_3

Related Subjects

How good is research at University of Manchester in Aeronautical, Mechanical, Chemical and Manufacturing Engineering?
Chemical Engineering

FTE Category A staff submitted: 33.90

Research output data provided by the Research Excellence Framework (REF)

Click here to see the results for all UK universities

Cookie Policy    X