Research Associate in Mixed-Autonomous Traffic Flow Modelling

Job summary

An opportunity has arisen within the Department of Civil & Environmental Engineering at Imperial College London for a Research Associate to work in Mixed Autonomous Traffic Flow Modelling. The successful applicant will become a member of the Transport Systems & Logistics Laboratory (led by Dr Panagiotis Angeloudis) a team of 18 postdoctoral, PhD and MSc researchers, with significant expertise in transport systems, autonomy, simulation,...

Job listing information

  • Reference ENG00478
  • Date posted 9 August 2018
  • Closing date 12 September 2018

Job description

Job summary

An opportunity has arisen within the Department of Civil & Environmental Engineering at Imperial College London for a Research Associate to work in Mixed Autonomous Traffic Flow Modelling.

The successful applicant will become a member of the Transport Systems & Logistics Laboratory (led by Dr Panagiotis Angeloudis) a team of 18 postdoctoral, PhD and MSc researchers, with significant expertise in transport systems, autonomy, simulation, mathematical optimisation and machine learning.

This is a fixed term appointment up to 30th of September 2020 in the first instance. The start date is on the 1st of October 2018 (with some degree of flexibility) and the salary will be based on the level of relevant experience of the successful candidate.

The post is funded from Innovate UK and the Centre for Connected and Autonomous Vehicles and linked to an exciting collaborative project that will develop a simulation-based safety validation framework that will model the interaction between autonomous vehicles (SAE Level 4/5) and other road users with an emphasis on the automated identification of safety edge-cases. 

You will also be working closely with researchers at the Personal Robotics Laboratory (Department of Electrical & Environmental Engineering), the Institute of Security Science and Technology, our industrial partners (aiPod, Claytex, Digital Greenwich) and Transport for London.

Duties and responsibilities

You will contribute to the development of large-scale traffic models using agent-based and traffic simulation platforms.  These will be used to develop numerical behaviour models for vehicles and pedestrians that are expected to interact with autonomous vehicles within simulated environments.

Furthermore, you will be contributing to ongoing research in the area of Autonomous Vehicle Operations spanning both the Electrical & Electronic Engineering and Civil & Environmental Departments, encompassing the aspects of mobility service design using autonomous vehicles (taxi-bots), systems development and impact assessment.

Essential requirements

You will hold a PhD (or equivalent) in Traffic Engineering, Computer Science, Electrical Engineering or Mathematics.

You will have:

  • Previous experience in one or more of mathematical modelling of traffic flows, agent-based simulation, traffic simulation, machine learning, model-predictive control or social-force modelling.
  • Programming skills in one or more of Matlab, Python, C# or C++, with a demonstrable record of experience in implementing substantial algorithms.
  • Strong interest in designing, implementing and evaluating autonomous vehicle simulation platforms.
  • Practical experience within a research environment and/or publications in relevant refereed journals and conferences.

*Candidates who have not yet been officially awarded their PhD will be appointed as Research Assistant within the salary range £33,380 - £35,061 per annum.

Further information

For informal enquiries about the post please contact Dr Panagiotis Angeloudis at p.angeloudis@imperial.ac.uk.

Further information about the post is available in the job description.

Interviews will take place in the week following the closing date of this advert.

Any queries regarding the application process should be directed to Ms Lucy Chivers at l.chivers@imperial.ac.uk

Documents

About Imperial College London

Imperial College London is the UK’s only university focussed entirely on science, engineering, medicine and business and we are consistently rated in the top 10 universities in the world.

You will find our main London campus in South Kensington, with our hospital campuses located nearby in West and North London. We also have Silwood Park in Berkshire and state-of-the-art facilities in development at our major new campus in White City.

We work in a multidisciplinary and diverse community for education, research, translation and commercialisation, harnessing science and innovation to tackle the big global challenges our complex world faces.

It’s our mission to achieve enduring excellence in all that we do for the benefit of society – and we are looking for the most talented people to help us get there.

Additional information

Please note that job descriptions cannot be exhaustive and the post-holder may be required to undertake other duties, which are broadly in line with the above key responsibilities.

All Imperial employees are expected to follow the 7 principles of Imperial Expectations: 

  • Champion a positive approach to change and opportunity
  • Communicate regularly and effectively within, and across, teams
  • Consider the thoughts and expectations of others
  • Deliver positive outcomes
  • Encourage inclusive participation and eliminate discrimination
  • Develop and grow skills and expertise
  • Work in a planned and managed way 

In addition to the above, employees are required to observe and comply with all College policies and regulations.

Imperial College is committed to equality of opportunity, to eliminating discrimination and to creating an inclusive working environment. We are an Athena SWAN Silver award winner, a Stonewall Diversity Champion, a Disability Confident Employer and work in partnership with GIRES to promote respect for trans people.