Don't miss our weekly PhD newsletter | Sign up now Don't miss our weekly PhD newsletter | Sign up now

  Design of Experiments for Learning from Online Networks


   Mathematics

This project is no longer listed on FindAPhD.com and may not be available.

Click here to search FindAPhD.com for PhD studentship opportunities
  Dr B Parker  No more applications being accepted  Funded PhD Project (Students Worldwide)

About the Project

Applications are invited for our EPSRC funded Doctoral Training Partnership (DTP) PhD studentships that will support six (6) research projects starting 1 October 2022. One of these projects is “Design of Experiments for Learning from Online Networks” led by Dr Ben Parker in the Department of Mathematics

Successful applicants will receive an annual stipend of £18,062 including outer London allowance plus payment of their full-time tuition fees for a period of 42 months (3.5 years). 

You should be eligible for home (UK) tuition fees but there is a limited number of studentships (no more than two) available to overseas applicants, including EU nationals, who meet the entry criteria.

 

The Project

This PhD will develop statistical methods, theory, algorithms and tools to perform experiments on networks, combining the areas of Design of Experiments and Network Science. Focus will be on online experiments: consider the motivating example of optimally allocating adverts to social media users in real-time to maximise learning about relative advert strengths.  In networked experiments, the relationships between experimental units have a large effect on how we design experiments. We seek to optimise designs here. 

Please contact Dr Ben Parker at [Email Address Removed] to find out more.

Entry Criteria

You will have or will receive an undergraduate degree classified at 1st class or 2:1 (honours) in mathematics or statistics. A postgraduate masters degree may be an advantage. Where appropriate, applicants must have English language proficiency to an overall score of IELTS 6.5 or equivalent.

 

Skills and Experience

A good understanding of statistical theory, particularly statistical inference is necessary. It would be advantageous to have experience or interest in one of more of: Network Science, Design of Experiments, Computer Science (Algorithms), or Operational Research. Strong programming skills (or a desire to develop them) will be required, use of R is preferred. Lastly, you should be a highly motivated individual and possess a strong sense of curiosity. The ability to study independently, think critically and collaborate with others is essential.

 

How to Apply

Email the documents below as a single PDF file to [Email Address Removed] by 16:00 on Friday 3 June 2022.  Please state the name of the project supervisor in your email.

·        Your up-to-date CV;

·        Your 300-word personal statement setting out why you are suitable for this position;

·        Your Undergraduate/Postgraduate Masters degree certificate(s) and transcript(s);

·        Your English Language qualification of IELTS 6.5 overall or equivalent, if applicable;

·        Two references, one of which can be provided by a member of Brunel University academic staff.

Interviews will take place in June 2022. 


Mathematics (25)

References

You will have or will receive an undergraduate degree classified at 1st class or 2:1 (honours) in mathematics, statistics or biostatistics. A postgraduate masters degree in statistics or biostatistics may be an advantage. Where appropriate, applicants must have English language proficiency to an overall score of IELTS 6.5 or equivalent.

How good is research at Brunel University London in Mathematical Sciences?


Research output data provided by the Research Excellence Framework (REF)

Click here to see the results for all UK universities
Search Suggestions
Search suggestions

Based on your current searches we recommend the following search filters.

 About the Project