Internship opportunities

Find out more about our upcoming or past internships.

Venables internships summer 2022

There are 8-10 internships available at a value of £297 per week.

There are 8-10 internships available at a value of £297 per week, for a period of 8 to 10 weeks, each. The goal of this initiative is to involve students from any department at the University of York in robotics research supervised by one or two academics, also from the University of York. We welcome applications from students or supervisors on topics related to the “Robotics” remit of EPSRC.

Deadline for submission is 30 April.

You can read more about the internship here.

  • Students interested in the opportunity should identify an academic (in any department) that is interested in supervising the work and can help to develop a research project. Students are more likely to be successful if they approach potential supervisors with their own idea for a project. Priority will be given to multi-disciplinary projects that involve a lead supervisor from any University of York Department and a secondary supervisor from a different research group at the University of York. If needed, please, contact
  • Supervisors applications have to include a lead supervisor from any UoY Department and a secondary supervisor from a different group (in a UoY or non-UoY Department). New collaborations are very welcome. Supervisors do not have to name a student, but they can, and a named student is a positive point.

YorRobots@york.ac.uk for suggestions of prospective supervisors. The members of the YorRobots Executive Committee may also be able to provide advice regarding colleagues in their own department.

A final report on the results of the project will be requested in October. Students will also be expected to present a poster describing their work in an event on 26 October, 2022 from 2 to 4, when prizes will be given for the best presentation, best poster, and best work.

Venables internships summer 2021

Call for Summer Venables Internships, supported by Phil Venables (BSc Computer Science, 1989) and YorRobots.

There are 10-13 internships available at a value of £267 per week, for a period of 8 to 10 weeks, each. The goal of this initiative is to involve students from any department at the University of York in robotics research supervised by one or two academics, also from the University of York. We welcome applications from students on topics related to the “Robotics” remit of EPSRC.
  • Students interested in the opportunity should identify an academic (in any department) that is interested in supervising the work and can help to develop a research project. Students are more likely to be successful if they approach potential supervisors with their own idea for a project. Priority will be given to multi-disciplinary projects that involve a lead supervisor from any University of York Department and a secondary supervisor from a different research group at the University of York. If needed, please, contact YorRobots@york.ac.uk for suggestions of prospective supervisors. The members of the YorRobots Executive Committee may also be able to provide advice regarding colleagues in their own department.
  • Project costs are to be spent on the student, so consumables need to be found from other sources by the supervisor(s).
  • Applicants must clearly articulate how they propose to develop the work given the lockdown restrictions.
  • Applicants should prepare a 1 page A4 (pt. 11) application e-mailed to YorRobots@york.ac.uk with "YorRobots studentship" in the subject line. The application should have a title, introduce the supervisor(s) with a very brief track record, followed by context of the project, research outline, and expected outcome and impact.
  • Applicants should attach also a copy of their transcript.

Applications will be reviewed by the members of the YorRobots Executive Committee. Successful applicants will be notified by the 19 March. A final report on the results of the project will be requested in October. Students will also be asked to present a poster describing their work in an event to be organised in the Autumn, when prizes will be given for the best presentation, best poster, and best work.

Deadline for submission is 1 March.

Venables internships summer 2020

We have recently offered 11 Venables internships at a value of £261 per week, each for a period of 8 to 10 weeks. This initiative's goal was to involve undergraduate students from any department at the University in robotics research supervised by one or two academics

We welcomed applications from students on topics related to the 'Robotics' remit of EPSRC.

StudentSupervisor(s)Title
Micah Bassett

Matt Dale, Department of Computer Science

Dr. Martin Trefzer, Department of Electronic Engineering

Professor Susan Stepney, Department of Computer Science

Hybrid reconfigurable platform for autonomous robots
James Gardner

Dr. Mark Post, Department of Electronic Engineering

Will Smith, Department of Computer Science

Accelerated visual perception for challenging underwater environments
Jacob Allen

Dr Ian Gray, Department of Computer Science

Alan Millard, Department of Computer Science

Dependable wireless communication for autonomous mobile robots
Andrea Charrin

Dr Cade McCall, Department of Psychology

Professor Alex Wade, Department of Psychology

Facial emotion recognition in care-robots
Che McKirgan

Dr Mark Post, Department of Electronic Engineering

Dr Pengcheng Liu, Department of Computer Science

Autonomous micro UAV swarms in search and rescue operations
Chester Wringe

Dr Ian Gray, Department of Computer Science

Dr Martin Trefzer, Department of Electronic Engineering

Social insect simulations in large-scale swarm robotics
Christian Pardillo Laursen

Simon Foster, Department of Computer Science

Mark Post, Department of Electronic Engineering

Deductive verification of cyber-physical systems with Isabelle/UTP
Harry Rostron

Professor Ian Fairlamb, Department of Chemistry

Dr Julie Wilson, Department of Chemistry

Development of a low-cost robotic system for examining chemical reactions
James Leyland

Dr Mark Post, Department of Electronic Engineering

Dr Wanli Chang, Department of Computre Science

The mobility and re-configuration of robot modules that could be used for planetary exploration
Joe Krystek-Walton

Dr Pengcheng Liu, Department of Computer Science

Dr Mark Post, Department of Electronic Engineering  

To explore the area of robotics that involves machines with human-like (bipedal) legs that use online walking patterns
Matthew Wardle Dr Mark Post, Department of Electronic Engineering   Autonomous reconfiguration of modular satellite components

Previous internships

We offered two summer studentships sponsored by YorRobots and the Technologies for the Future research theme.

Undergraduate students of any UK University, who were committed to a course of study in the following year, were eligible to apply. The studentships lasted eight to 10 weeks between June and September 2019, at a value of £2,000 each.

The influence of prior assumptions on human interactions with autonomous vehicles

This project will assess laypeople’s beliefs about autonomous vehicles and will use a desktop driving simulator to assess how those beliefs predict behaviour. The summer studentship will involve developing experiments, running participants through those experiments, and analysing the data. The ideal candidate possesses coding skills, a basic understanding of statistics, and a familiarity with human subject research. 

Lead Supervisor: Cade McCall, Psychology Department, University of York
Secondary Supervisor: David Zendle, Computer Science Department, York St. John’s University

Control of Bio-Inspired Adaptable Wheeled Tensegrity Rovers

Autonomous Robotics vehicles for planetary exploration must be responsive, energy efficient, lightweight for transport, and mechanically robust. To accomplish these goals we propose applying new bio-inspired and minimalist concepts to the design of a small rover platform for terrestrial or planetary exploration. The student will construct an actuated tensegrity mobile robot using existing designs and structural elements so that it will be able to locomote with wheeled motion and also to bend and flex like an organic structure.

Lead supervisor: Dr Mark A Post, Department of Electrical Engineering, University of York 
Secondary supervisor: Professor Jim Austin, Department of Computer Science, University of York