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Fully Funded Doctoral Studentship in Statistical and Machine Learning for Vaccine Manufacturing


   Department of Engineering

  Dr R Carvalho  Applications accepted all year round  Competition Funded PhD Project (Students Worldwide)

About the Project

Department of Engineering, Durham University

The Project

Project Title: Fully Funded Doctoral Studentship in Statistical and Machine Learning for Vaccine Manufacturing.

The project aims to improve the development and manufacturing of vaccines by characterising the temporal dynamics of processes in bioreactors. The project has the following scope:

1.     We will develop algorithms with the toolbox of sparse regression to characterise the temporal dynamics of such processes in the form of symbolic ordinary or partial differential equations.

2.     We will develop deep-learning algorithms to linearise complex dynamics for the identification of the differential equations that characterise microbial growth.

3.     We will develop reinforcement learning algorithms for the control of the supply of nutrients to the microorganisms in the bioreactors.

The student will collaborate with the National Biologics Manufacturing Centre (https://www.uk-cpi.com/about/national-centres/national-biologics-manufacturing-centre) and its RNA Centre of Excellence (https://www.uk-cpi.com/news/new-rna-centre-of-excellence).

The successful applicant will be working within the Durham Institute for Data Science (https://www.durham.ac.uk/research/institutes-and-centres/data-science/).

Prospective candidates will be judged according to how well they meet the following criteria:

·       First class honours degree in the mathematical sciences, biology, computer science, physics, chemistry, engineering, or a related field.

·       Excellent understanding of statistics and machine learning. Knowledge of microbiology is a plus (but not a requirement).

·       Ability to undertake scientific programming in R and Python.

·       Excellent written and spoken communication skills in English.

The Studentship is fully funded for 3.5 years with a tax-free stipend at the EPSRC rate (currently, £17,668 for 2022/23). Full funding is available to UK, or EU nationals who have lived

in the UK for three years or more before the course starts (see https://www.dur.ac.uk/about/eu/applicants/).

International students can also apply and the studentship covers tuition fees

and the stipend.

In the first instance, interested candidates are encouraged to make an informal enquiry to Dr Rui Carvalho (). To apply formally for this studentship you need to submit a cover letter highlighting what you can bring to the project, CV and the names of two academic referees. Applicants will be required to submit a formal application using the online system found at https://www.dur.ac.uk/postgraduate/study/apply/.

The Engineering Department holds an Athena Swan Bronze award, highlighting its commitment to promoting women in Science, Engineering and Technology.


Funding Notes

The Studentship is fully funded for 3.5 years with a tax-free stipend at the EPSRC rate (currently, £17,668 for 2022/23). Full funding is available to UK, or EU nationals who have lived in the UK for three years or more before the course starts (see View Website). International students can also apply and the studentship covers tuition fees and the stipend.
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