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Computational Discovery DPhil

University of Oxford

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Course options

  • Qualification

    PhD/DPhil - Doctor of Philosophy

  • Location

    University of Oxford

  • Study mode

    Full time

  • Start date

    OCT

  • Duration

    3 years

Course summary

About

The DPhil in Computational Discovery is a multidisciplinary programme spanning projects in Advanced Molecular Simulations, Machine Learning and Quantum Computing to develop new tools and methodologies for life sciences discovery.

This innovative course has been developed in close partnership between Oxford University and IBM Research. Each research project has been co-developed by Oxford academics working with IBM scientists. Students will have a named IBM supervisor/s and many opportunities for collaboration with IBM throughout the studentship.

The scientific focus of the programme is at the interface between Physical and Life Sciences. By bringing together advances in data and computing science with large complex sets of experimental data, more realistic and predictive computational models can be developed. These new tools and methodologies for computational discovery can drive advances in our understanding of fundamental cellular biology and drug discovery. Projects will span the emerging fields of Advanced Molecular Simulations, Machine Learning, and Quantum Computing while addressing both fundamental questions in each of these fields as well as at their interfaces.

Assessment

There are a number of key stages in the research programme. Within a month of starting, you will meet with your academic and IBM supervisors to finalise your project and agree on an initial programme of research. Within the first three months, you will complete an analysis of your training needs with your academic supervisor.

Students begin the DPhil in Computational Discovery programme as a probationary research student (PRS). Before the end of their fourth term students are required to apply for Transfer to DPhil Status.

A successful transfer of status from PRS to DPhil status will require the submission of a transfer report. Students who are successful at transfer will also be expected to apply for and gain confirmation of DPhil status to show that their work continues to be on track. This will need to done within nine terms of admission.

Graduate destinations

It is anticipated that the graduates of this course will have destinations in academic research, in the computing sector, and in end user sectors of machine learning more generally, especially in applications in the life sciences.

Tuition fees

Students living in United States
(international fees)

£ 27,460per year

Tuition fees shown are for indicative purposes and may vary. Please check with the institution for most up to date details.

University information

University of Oxford

  • University League Table

    1st

  • Campus address

    University of Oxford, University Offices, Wellington Square, Oxford, Oxfordshire, OX1 2JD, England

Subject rankings

  • Subject ranking

    2nd out of 100

    1st out of 50

  • Entry standards

    / Max 240
    199 90%

    3rd

    1
  • Graduate prospects

    / Max 100
    88.0 88%

    2nd

    5
  • Student satisfaction

    / Max 5
    n/a

  • Entry standards

    / Max 240
    226 100%

    1st

  • Graduate prospects

    / Max 100
    98.0 98%

    2nd

    1
  • Student satisfaction

    / Max 5
    n/a

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