Duties and Responsibilities
This position is in the Product and Process Systems Engineering Group. The investigators are members of the Centre for Process Systems Engineering (CPSE), a joint centre between Imperial College London and University College London.
The project is funded by the Engineering and Physical Sciences Research Council (EPSRC) and is in collaboration with investigators from University of Sheffield (UK), University of Strathclyde (UK) and Purdue University (US). The project aims at developing next generation process optimization and control methods for agile continuous pharmaceutical manufacturing (CPM).
To develop and implement novel methods integrated design and operability in pharmaceutical process flowsheets. Employ machine learning approaches for quantifying and incorporating uncertainty considerations in optimisation problems and surrogate-based optimisation. To plan and execute real options analysis of different design configurations to account for and manage risk under different market scenarios.
Duration is 34 months in first instance.
Key Requirements
The successful candidate must a PhD in Engineering, Operations Research or Computer Science. The applicant must either have already completed a doctorate, or have submitted their thesis prior to taking up the post. Proven publications track record in developing novel techniques for dynamic optimization and/or data-driven optimization and/or pharmaceutical manufacturing modelling. Experience in machine learning for uncertainty quantification and modelling. Experience of working in a multi-disciplinary research environment so as to conduct effectively collaborative research.
Experience or willingness to work with gPROMS modelling suite. Proficiency with optimisation packages (e.g. GAMS, Pyomo). Experience in programming languages (e.g. Python, Julia) and maintaining online repositories (e.g. GitLab/GitHub). Candidates must have excellent communication and team-working skills, the ability to write high-standard reports and work collaboratively with colleagues to generate high-quality research outputs.
Further Details
Applicants should apply online. To access further details about the position and how to apply please click on the ‘Apply’ button above.
If you have any queries regarding the vacancy or the application process, please contact Dr. Vasileios Charitopoulos at [email protected] or Prof. David Bogle at [email protected].
UCL Taking Action for Equality
Closing Date – 20 Aug 2022
Latest time for the submission of applications – 23:59
Interview date – TBC
Our department holds an Athena SWAN Silver award, in recognition of our commitment and demonstrable impact in advancing gender equality.
This appointment is subject to UCL Terms and Conditions of Service for Research and Support Staff.
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