PhD Scholarship for Women in Computational and Data Science 2024

Scholarship overview

  • Degree level

    Postgraduate doctoral

  • Value

    Home or Overseas tuition fees & bursary for 3.5 years at (UKRI rate)

  • Number of awards

    2

  • Academic year

    2024/2025

  • Tuition fee status

    Home, Overseas

  • Mode of study

    Full time

  • Available to

    Prospective students

  • Application deadline

    10/06/2024 Closed

  • Additional information

    Scholarship page

    sam.symmonds@imperial.ac.uk

  • Available to applicants in the following departments

    • Earth Science and Engineering

Eligibility criteria

Earth Science & Engineering is pleased to offer two departmental scholarships for the PhD programme, available to women who have completed a Master's degree in subject areas related to Computational modelling, Machine Learning, Data Science or Artificial Intelligence.

To be eligible for a scholarship, candidates must fulfil the eligibility criteria and must have submitted an application for the PhD programme through the Imperial College admissions process including submitting all required documents.

1. To be considered for this scholarship please apply for PhD studies in Earth Science and Engineering by 10th June 2024.

2. Please clearly indicate on your application that you wish to be considered for the PhD Scholarship for Women in Computational and Data Science.

3. Please contact Samantha Symmonds (sam.symmonds@imperial.ac.uk) or Amanda Allotey (a.allotey@imperial.ac.uk) who will be able to provide you with a list of potential supervisor(s) and research topics.

Please note: This scholarship is not available to continuing students.

Course specific information

PhD Programme in Earth Science & Engineering

Application process

1. To be considered for this scholarship please apply for PhD studies in Earth Science and Engineering by 10th June 2024. 2. Please clearly indicate on your application that you wish to be considered for the PhD Scholarship for Women in Computational and Data Science. 3. Please contact Samantha Symmonds (sam.symmonds@imperial.ac.uk) or Amanda Allotey (a.allotey@imperial.ac.uk) who will be able to provide you with a list of potential supervisor(s) and research topics.

Contact

If you have any additional questions, please contact us at sam.symmonds@imperial.ac.uk.