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Efficient Assessment Design for Machine Learning and Data Science


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Dr C Lines No more applications being accepted Funded PhD Project (UK Students Only)

About the Project

Brunel University London (BUL) is recruiting to EPSRC Doctoral Training Partnership (DTP) PhD studentships effective 1 October 2020. Applications are invited for the following specific project entitled “Efficient Assessment Design for Machine Learning and Data Science”. Successful applicants will receive an annual stipend (bursary) of £17,285 plus payment of their full-time home, EU or international tuition fees for a period of 36 or 48 months (3 or 4 years).

The successful applicants will join the internationally recognised researchers in the Department of Mathematics. This exciting research project is focused on how can we design efficient assessments for Machine Learning and Data Science? The main aim of this project is to understand the primary problems in analysing and manipulating appropriate data sets for the development of study materials and to design efficient assessments. One focus will be research and design assessment techniques that can give instant feedback and results via computer aided methods.

Applicants will be required to demonstrate their ability to work independently, be self–motivated, be determined in managing workload to meet deadlines and able to work in a multidisciplinary environment communicating effectively both orally and in writing.

Please contact Dr Lines at [Email Address Removed] for an informal discussion about the studentships.

Applicants will have or be expected to receive a first or upper-second class honours degree in an Engineering, Computer Science, Design, Mathematics, Physics or a similar discipline. A Postgraduate Masters degree is not required but may be an advantage.

Experience in Coding, Mathematics (particularly algorithm based), innovative and contemporary higher education teaching techniques is an advantage. In addition, he/she should be highly motivated, able to work in a team, collaborate with others and have good communication skills.

How to Apply
Please submit your application documents (see list below) by Noon on Friday 26 June 2020 to [Email Address Removed] Interviews will take place in July 2020.
• Your up-to-date CV;
• Your personal statement (300 to 500 words) summarising your background, skills and experience;
• Your Undergraduate/Postgraduate Masters degree certificate(s) and transcript(s);
• Evidence of your English language skills to IELTS 6.5 (or equivalent, 6.0 in all sections), if appropriate;
• Contact details for TWO referees, one of which can be an academic member of staff in the College.

Remember to state the title of the project at the top of your personal statement.

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