|Location:||Newcastle upon Tyne|
|Funding for:||UK Students|
|Placed On:||19th October 2018|
|Closes:||30th November 2018|
Value of award
100% of UK tuition fees paid and an annual stipend of £14,777 (full award).
Number of awards
Start date and duration
January 2019 for 3 years.
Application closing date
30 November 2018.
This PhD studentship is part of the Portabolomics project. The vision of Portabolomics is to bring forth a breakthrough in Synthetic Biology that will enable the development of portable biocircuits across chassis (i.e. from one bacteria species to another). This vision is akin to the Java virtual machine having enabled the reuse and portability of software across different operating systems and hardware platforms.
In this doctoral project you will focus on the challenge of devising innovative strategies to transform the vast volumes of data generated in the wet lab experiments of Portabolomics into actionable knowledge that can feed into the computational work on network analysis and verification in the project. The data generated by the project is vast and diverse: imaging data, omics data, complex and heterogeneous annotation from public and private sources. Using a combination of biological data integration, state-of-the-art machine learning, knowledge extraction and information visualisation techniques we seek to build methods to identify biomarkers and infer biological networks.
The specific topic of the studentship will be decided based on the skill set of the successful applicant, although we envision that it will require a combination of the following:
Strong machine learning background and proficiency in the state of the art data science languages (e.g. R, python)
Name of supervisor(s)
Applicants should have a first class degree, or a combination of qualifications and/or experience equivalent to that level. Ideally, students should have a BSc or MSc degree in computer science. Applicants should be strong programmers, and experience in machine learning/data mining/big data/information visualisation/biological data will be greatly valued.
Full fees will only be awarded following EPSRC eligibility rules.
How to apply
You must apply through the University’s online postgraduate application system. To do this please ‘Create a new account’.
Only mandatory fields need to be completed. However, you will need to include the following information:
please send your covering letter and CV by e-mail to email@example.com.
Type / Role: