University of Canterbury 博士全奖机会
20863
We are seeking highly motivated and talented applicants with strong background and interest in traffic flow theory, transport network modelling and big data analytics to contribute to our growing research program in transportation engineering at the Department of Civil and Natural Resources Engineering, University of Canterbury (UC), New Zealand. Three PhD scholarships are available to support a newly established Connected Traffic Systems Lab at UC.
Scholarship Information
Research project: Next generation urban traffic control and management systems using big data
Required skills: Advanced MATLAB, Python and R programming
Preferred education background: Transportation Engineering, Statistics, Machine Learning, Computer Science, Control Theory, Applied Mathematics, Physics or Operations Research
Scholarship: 21,000 NZD per year (tax free) and a tuition fee waiver.
Teaching assistant (TA): Possible; depending on the skills, will be hourly paid
Duration: 3 years
Start date: February 2019
Project Summary
This project will develop and implement a control framework for managing multi-modal traffic flows in existing urban road networks that enables the utilization of multiple data sources and the emerging technologies. Utilizing multiple sensor data for real-time traffic prediction is quite challenging, due to various spatio-temporal data resolutions, accuracy and reliability, consistency, and correlation between data sources. Moreover, dealing with the model mismatch and developing urban traffic models which suits well with the realistic traffic conditions remains still an attractive subject to study.
To this end, the project will focus on:
(1) developing a theoretical framework for multi-modal urban transport system modelling which allows a fusion of data from multiple sources into the model
(2) developing traffic models for real-time assessment and prediction of multi-modal urban transport systems based on the modelling platforms developed in (1)
(3) advancing a smart management of transport system with innovative technology based on multiple data sources using the theories and systems developed in (1) and (2)
About Us
University of Canterbury is one of the leading research universities in New Zealand, founded by scholars of Oxford and Cambridge universities in 1873, making it the second oldest in New Zealand and the fourth oldest in Australasia. The University is structured around five Colleges: Arts, Business and Economics, Education, Engineering and Science and a School of Law. The University of Canterbury has 15 subjects ranked in the world’s top 200 (QS World University Rankings by Subject 2018). Connected Traffic Systems Laboratory (CTSL) is within Department of Civil and Natural Resources Engineering which is highly ranked in most of the renowned ranking systems (Ranked top 7 in Academic Ranking of World Universities (ARWU) 2018).
How to Apply
Send the following documents to (Dr. Kun Xie 1point3acres.com) by Oct 20, 2018:
CV
BSc and MSc Transcripts in English
Publications (if applicable)
Scholarship Information
Research project: Next generation urban traffic control and management systems using big data
Required skills: Advanced MATLAB, Python and R programming
Preferred education background: Transportation Engineering, Statistics, Machine Learning, Computer Science, Control Theory, Applied Mathematics, Physics or Operations Research
Scholarship: 21,000 NZD per year (tax free) and a tuition fee waiver.
Teaching assistant (TA): Possible; depending on the skills, will be hourly paid
Duration: 3 years
Start date: February 2019
Project Summary
This project will develop and implement a control framework for managing multi-modal traffic flows in existing urban road networks that enables the utilization of multiple data sources and the emerging technologies. Utilizing multiple sensor data for real-time traffic prediction is quite challenging, due to various spatio-temporal data resolutions, accuracy and reliability, consistency, and correlation between data sources. Moreover, dealing with the model mismatch and developing urban traffic models which suits well with the realistic traffic conditions remains still an attractive subject to study.
To this end, the project will focus on:
(1) developing a theoretical framework for multi-modal urban transport system modelling which allows a fusion of data from multiple sources into the model
(2) developing traffic models for real-time assessment and prediction of multi-modal urban transport systems based on the modelling platforms developed in (1)
(3) advancing a smart management of transport system with innovative technology based on multiple data sources using the theories and systems developed in (1) and (2)
About Us
University of Canterbury is one of the leading research universities in New Zealand, founded by scholars of Oxford and Cambridge universities in 1873, making it the second oldest in New Zealand and the fourth oldest in Australasia. The University is structured around five Colleges: Arts, Business and Economics, Education, Engineering and Science and a School of Law. The University of Canterbury has 15 subjects ranked in the world’s top 200 (QS World University Rankings by Subject 2018). Connected Traffic Systems Laboratory (CTSL) is within Department of Civil and Natural Resources Engineering which is highly ranked in most of the renowned ranking systems (Ranked top 7 in Academic Ranking of World Universities (ARWU) 2018).
How to Apply
Send the following documents to (Dr. Kun Xie 1point3acres.com) by Oct 20, 2018:
CV
BSc and MSc Transcripts in English
Publications (if applicable)
