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Mapping the protein “diffusome” of bacteria by high-throughput single-molecule tracking and advanced data analysis

  • Full or part time
  • Application Deadline
    Friday, January 24, 2020
  • Funded PhD Project (European/UK Students Only)
    Funded PhD Project (European/UK Students Only)

About This PhD Project

Project Description

Academic supervisor: Prof Achillefs Kapanidis (DPhil in Condensed Matter Physics); IBM co-supervisor: Dr Simon Colgate

Protein mobility and spatial distribution inside single living bacteria can be explored by single-molecule tracking, uncovering novel information about modes of interactions of proteins in the crowded bacterial cytoplasm. We propose to massively expand our analysis to >1000 bacterial proteins with diverse functions. IBM will support the project via their know-how in algorithms, data analytics, and machine learning.

DPhil in Computational Discovery


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.

Applicants who are offered places on the DPhil in Computational Discovery will be fully funded. As a minimum, the funding package will include fees at the Home/EU rate, and a stipend for UK students only at the standard Research Council rate (currently £15,009 pa) for the duration of fee liability (four years).

Applications must be received by 12 midday (UK time) on Friday 24 January 2020.

Further details of the projects and how to apply can be found here: https://www.ox.ac.uk/admissions/graduate/courses/dphil-computational-discovery?wssl=1

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