Funding for: Home applicants only
Funding amount: Coverage of Home/UK only tuition fees and Initial annual tax-free stipend of £20,662/year
Closes: 30/11/2023 or until filled
The School of Science and Technology, with its industrial partner 4BetterDevices GmbH, offers a studentship for the development of machine learning methods for feature selection and sensitivity analysis in biomedical data, in affiliation to the Artificial Intelligence Research Centre.
The successful candidate will develop statistical and machine learning techniques to analyse biomedical data. High-dimensional data sets are increasingly collected for medical diagnosis and in biological research and an important question regards characterising how information relevant for a certain medical purpose is distributed among the factors composing the data, and how to extract and use relevant information considering privacy and ethical constraints. The student will improve feature selection methods for medical diagnosis, and for the identification of nuisance features that may compromise privacy or introduce discriminatory biases. The student will also have the opportunity to apply these methods to better understand the distribution of information and the structure of representations in neural networks, advancing towards more transparent deep learning models for medical decision-making.
The student will acquire a robust foundation for an academic career and a set of skills highly appreciated in industry, with expertise in machine learning, statistical learning, deep learning, and data analysis. Starting date can be February 2024 or later. The position will remain open until filled.
Eligibility and requirements
An upper second-class BSc/BEng/MSc/MEng (or equivalent, or higher) degree in Mathematics, Computer Science, Statistics, Engineering, Physics, or related STEM areas.
A candidate who demonstrates good aptitudes in machine learning, statistical modelling, or data analysis (as evidenced through strong academic credentials or research papers in reputable journals/conferences) may be accorded preference. Ideally, candidates should have proven skills in some of those areas and coding skills in Python and/or Matlab.
Scholarship: The studentship is for 3 years and will provide an annual tax-free stipend of £20,662/year and tuition fees (Home only).
An extra £1,500/year salary supplement will be offered to students from underrepresented communities, in particular, female, LGBTQ+ and disabled applicants.
Additional income: There is the opportunity to earn around £2,200/year on an average (max. is around £4,300/year) through a teaching assistantship.
If you are interested in applying, I, Dr Daniel Chicharro, will be happy to address any initial informal enquiries: [email protected]
How to apply
Apply online via the above ‘Apply’ button.
When applying, specify the project you apply for writing the title or ‘supervisor Dr. Chicharro’
For queries regarding the application process, please contact [email protected]
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