The project will investigate methods to automatically extract governing equations from large datasets in Biotechnology and Biotherapeutics in collaboration with industrial partners. The studentship involves bringing together and extending methods from statistical learning, convex optimisation and control to develop rigorous and efficient tools for the automation of modelling in the life sciences.
The successful applicant will be working within the Durham Institute for Data Science.
The Studentship is fully funded for 3.5 years with a tax-free stipend at the EPSRC rate (£15,009 for 2019/20). Full funding is only available to UK/EU nationals or international students who have lived in the UK for at least three years prior to the start of the studentship; non-UK/EU nationals can apply but would only receive a partial contribution towards the tuition fees.
Prospective candidates will be judged according to how well they meet the following criteria:
- First class honours (or high 2.1) degree in the mathematical sciences, computer science, engineering, physics or a related field.
- Strong understanding of the mathematical sciences and its applications to Engineering.
- Ability to undertake scientific programming in R, Python, etc.
- Excellent written and spoken communication skills in English.
- The following skills are desirable but not essential:
- Experience in statistics.
- Experience in optimisation.
In the first instance, interested candidates are encouraged to make an informal enquiry to Dr Rui Carvalho ([email protected]). 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 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.