Research Studentship in Semantic Simultaneous Localization and Mapping (SLAM)

Research Studentship in Semantic Simultaneous Localization and Mapping (SLAM) - SLAM_PT_2017

3.5-year D.Phil. studentship, available from October 2017

Research Area

This D.Phil. studentship will address the creation of a SLAM system leveraging (i) multi-view geometry and (ii) machine learning-based recognition to enhance the resulting 3D model with semantic attributes. State-of-the-art SLAM exploits mainly correspondences established across multiple images and uses multi-view geometry to generate a 3D map over time. Semantic scene understanding currently plays no / a minor role in achieving this, but could enrich the 3D environment representation and provide information leading to better 3D models. This project will focus on designing a real-time semantic SLAM method for use with autonomous systems.

You will be a student in the University of Oxford’s Torr Vision Group, with a 3-6 month industrial internship at Toshiba’s Cambridge Research Laboratory in your 2nd / 3rd year. You will be supervised by Professor Philip Torr (University of Oxford) and Dr Christopher Zach (Toshiba Research Europe).

For further information on the group, see

 Award Value

The studentship covers University fees at the level set for UK students plus a stipend (tax-free maintenance grant) (£14,553) in year 1, and at least the same amount for a further two years. The studentship does cover the payment of college fees (c £3,021 p.a.).


To be eligible for a full award (stipend and fees) a student must have:

  • Settled status in the UK (i.e. have no restrictions on how long they can stay)

  • Been ‘ordinarily resident’ in the UK for 3 years prior to the start of the grant. This means they must have been normally residing in the UK (apart from temporary or occasional absences)

  • Not been residing in the UK wholly or mainly for the purpose of full-time education. (This does not apply to UK or EU nationals)

To be eligible for a fees only award:

Students from EU countries other than the UK are generally eligible for a fees-only award. To be eligible for a fees-only award, a student must be ordinarily resident in a member state of the EU, in the same way as UK students must be ordinarily resident in the UK.

Candidate Requirements

 Prospective candidates will be judged according to how well they meet the following criteria:

  • Proven academic excellence (at least a first or upper second class undergraduate degree)
  • Confidence in mathematical skills (e.g. geometry, linear equations, optimization)
  • Strong coding skills in C++ and/or Matlab (some experience with CUDA is an advantage)
  • Self-motivation and excellent problem solving skills
  • Good verbal and written communication
  • UK residency (British Citizenship or EU Citizenship with 3 years’ residency in the UK)
  • Prior publications in the area (desirable but not essential)

Application Procedure

In the first instance, interested candidates are encouraged to make an informal enquiry to Professor Philip Torr (

To apply formally for this studentship, candidates must submit a graduate application form and are expected to meet the graduate admissions criteria.  Details are available on the course page of the University website at

Please quote SLAM_PT_2017 in all correspondence to the Department and in your graduate application.

Closing date for applications: 14 July 2017