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Data-driven modelling, optimisation & control of continuous pharmaceutical manufacturing processes


   Department of Chemical Engineering

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  Dr V Charitopoulos  No more applications being accepted  Funded PhD Project (Students Worldwide)

About the Project

Vacancy information

The UCL department of Chemical Engineering is one of the top research and teaching departments in the UK and has world-class standing. Within UCL Chemical Engineering 90% of staff rated as world leading or of internationally excellent quality.

The post is fully funded (3 years fees, 3.5 years stipend).

We seek to appoint an enthusiastic and motivated PhD candidate in the area of data-driven modelling, optimisation & control of continuous pharmaceutical manufacturing processes. The PhD project is part of collaborative US - UK research programme between UCL, Purdue University, University of Sheffield & University of Strathclyde.

Studentship description

We seek to appoint an enthusiastic and motivated PhD candidate in the area of data-driven modelling, optimisation & control of continuous pharmaceutical manufacturing processes. The PhD project is part of collaborative US - UK research programme between UCL, Purdue University, University of Sheffield & University of Strathclyde. The PhD candidate will work in the interface of the areas of Surrogate Modelling, Pharmaceutical Engineering and Optimisation with the aim to develop novel models and methods to investigate the robust design and operation of continuous pharmaceutical processes.

Person specification

The ideal candidate should should hold a minimum 2:1 (or equiv) MEng/MSc or equivalent degree in Chemical Engineering, Pharmaceutical Engineering, Operations Research, Computer Science or other area pertinent to the project. Have proven experience in optimisation and/or simulation packages, specifically: GAMS, Pyomo, gPROMS. Understanding of process systems engineering tools and methods is essential. Experience or willingness to develop skills in the areas of surrogate modelling and uncertainty quantification. Efficient communication skills in written & spoken media is essential. A detailed person specification can be found in the job description.

Eligibility

Minimum 2:1 (or equiv) MEng/MSc or equivalent degree in Chemical Engineering, Pharmaceutical Engineering, Operations Research, Computer Science or other area pertinent to the project.

This studentship covers UK fees only. Overseas applicants may apply but if successful would have to find funding to cover the difference between the UK and overseas fees rates.

How to apply

Applications should be submitted through: https://evision.ucl.ac.uk/urd/sits.urd/run/siw_ipp_lgn.login?process=siw_ipp_app&code1=RRDCENSING01&code2=0035

Please nominate Dr Vasileios Charitopoulos as supervisor and include a statement of interest.

For informal enquiries, please contact: [Email Address Removed]

For further information on the MPhil/PhD course as well as the recruitment and selection process, please click on the link below:

https://www.ucl.ac.uk/chemical-engineering/study/mphilphd


Funding Notes

3 years fees; 3.5 years stipend
Stipend per annum: £20,198
Start date: September 2023 (flexible)

Open days


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