About the Project
The project will investigate methods to extract differential equations from data to predict drug performance in time. The studentship involves bringing together and extending methods from statistical learning and convex optimisation to develop rigorous and efficient tools for the automation of modelling in drug discovery.
A movie introducing the topic can be found here:
The successful applicant will be working within the Durham Institute for Data Science.
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, physics, engineering or a related field.
· Strong understanding of statistics.
· Ability to undertake scientific programming in R and Python.
· Excellent written and spoken communication skills in English.
In the first instance, interested candidates are encouraged to make an informal enquiry to Dr Rui Carvalho email@example.com. 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.
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