Research Fellow in Digital Train Control and Traffic Management - Dynamic Simulation Modelling
- Employer
- Global Academy Jobs
- Location
- United Kingdom
- Salary
- £33,797 to £40,322 p.a.
- Closing date
- Dec 1, 2019
View more
- Sector
- Science, Computer Science and IT, Computer Science, Chemistry, Chemical Engineering, Mathematics and Statistics
- Hours
- Full Time
- Organization Type
- University and College
- Jobseeker Type
- Academic (e.g. 'Lecturer')
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Job Details
Are you an ambitious researcher looking for your next challenge?
Do you want to further your career in one of the UK's leading research-intensive Universities?
Do you have experience in railway signalling and train control, network simulation and optimisation modelling?
The University of Leeds along with external partners are investing over £60 Million in the establishment of a new high speed rail (HSR) institute. A 10-acre site is being developed as a Rail Engineering/Technology campus, primarily for HSR research and innovation. This post is funded as part of the initiative, with a focus on establishing the fundamental principles and proofs of concept for the optimisation of digital railway signalling and train controls, and network-wide traffic management.
You will be highly motivated, enthusiastic, and have strong analytical and computational, as well as communication skills. You will be able to demonstrate an established track record of high-quality and innovative research activity around network simulation modelling, railway operations and control, and an excellent academic potential to develop modelling and decision support tools for digital railway to increase capacity, reduce delay and cost, improve sustainability, and enhance safety and reliability.
You will be responsible for developing a computer-based railway network simulation model for railway networks and train operation, and working with our industry partners in designing and testing new digital signalling, train control, and timetable solutions.
With a PhD in Engineering, Transport, Computer Science, or Mathematics, or a closely allied discipline you will have a strong foundation in scientific programming, network modelling, optimisation, and/or control theory.
To explore the post further or for any queries you may have, please contact:
Prof Ronghui Liu, Professor of Networks and Transport Operations
Tel: +44(0) 113 3435338, email: r.liu@its.leeds.ac.uk
Do you want to further your career in one of the UK's leading research-intensive Universities?
Do you have experience in railway signalling and train control, network simulation and optimisation modelling?
The University of Leeds along with external partners are investing over £60 Million in the establishment of a new high speed rail (HSR) institute. A 10-acre site is being developed as a Rail Engineering/Technology campus, primarily for HSR research and innovation. This post is funded as part of the initiative, with a focus on establishing the fundamental principles and proofs of concept for the optimisation of digital railway signalling and train controls, and network-wide traffic management.
You will be highly motivated, enthusiastic, and have strong analytical and computational, as well as communication skills. You will be able to demonstrate an established track record of high-quality and innovative research activity around network simulation modelling, railway operations and control, and an excellent academic potential to develop modelling and decision support tools for digital railway to increase capacity, reduce delay and cost, improve sustainability, and enhance safety and reliability.
You will be responsible for developing a computer-based railway network simulation model for railway networks and train operation, and working with our industry partners in designing and testing new digital signalling, train control, and timetable solutions.
With a PhD in Engineering, Transport, Computer Science, or Mathematics, or a closely allied discipline you will have a strong foundation in scientific programming, network modelling, optimisation, and/or control theory.
To explore the post further or for any queries you may have, please contact:
Prof Ronghui Liu, Professor of Networks and Transport Operations
Tel: +44(0) 113 3435338, email: r.liu@its.leeds.ac.uk
Company
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