Faculty / Portfolio : Department of Civil Engineering, Faculty of Engineering
Job No. : 611309
Location : Clayton campus
Employment Type : Full-time
Duration : 3-year fixed-term appointment
Remuneration : Stipend can range from $29,000 p.a. full-time rate (2020 rate, pro-rata) and tax-free
Engineering Tuition Fee Scholarship for the duration of stipend scholarship for international students will be available.
Please note that Engineering Tuition Fee Scholarship will be assessed and awarded on a case by case basis.
The ARC Smart Pavements Hub (SPARC) invites applications for a PhD position in Characterising road roughness using accelerometer- and profilometric-based methods.
Smart Pavements Australia Research Collaboration ( SPARC )
SPARC Hub, which is a partnership between Monash and 7 other Australian Universities and 20+ Industry Partners, is embarking on a range of exciting research projects, offering an unprecedented opportunity for recent graduates to establish their postgraduate career in various engineering fields.
The Hub offers a coherent PhD and Masters by research program for high achieving passionate students and is committed to creating an intellectually exhilarating and vibrant environment towards excellence.
Road roughness is an important indicator of the level of service and cost to the user of using the road. Initially, until the 1990s, it was estimated through calibrated measurement of the displacement of vehicle chassis relative to the point of contact with the road.
In the 1990s, we developed the means to directly measure changes in profile height on the road and link that to the International Roughness Index (IRI).
Both require specific and sometimes expensive equipment.
With the advent of smartphones and compact measuring and computing powers, attention is turning to use 3-axis accelerometry to estimate road roughness.
This is done through mobile phone apps and similar low-cost and uncalibrated technologies. What is not known is the relationship between the definitive profilometric measurement of roughness and roughness measured by handheld’ accelerometer devices such as mobile phones.
This project aims to find the accelerometer-based method of measuring road roughness which provides the closest match to profilometric-based methods.
Hypothesis 1 : There is a means of accelerometric measurement of road roughness which provides measurements of sufficient accuracy for some road management purposes.
Hypothesis 2 : Some or all the following factors influence the extent to which accelerometric based roughness correlates with profilometer-measured roughness, such as wavelength / type of roughness, vehicle type, age and / or and inbuilt accelerometers, and mobile phone type.
ARRB , the National Transport Research Organisation, is the Hub’s lead Industry Partner and Industry Partner for this project.
A key requirement for the scholar is to spend a significant proportion of their time embedded at ARRB’s state-of-the-art facility in Port Melbourne.
There, the scholar will have the opportunity to work alongside ARRB’s experts in pavement deterioration / performance modelling, road roughness measurements and asset management amongst others.
Both Australian and international applicants will be considered
0) or higher, or an average score of 80 or higher, or equivalent to H1 or First-Class Honours Degree
i) Candidate's academic performance in the bachelor's degree (or Master's degree)
ii) Quality of the degree completed (preference will be given to Master's degree)
iii) Completion time of the degree
iv) Knowledge in the relevant research field including any publications in reputable journals and conferences
v) English language proficiency (refer to the following link for more information : English Language Requirements )
vi) Online interviews and references
Enquiries and EOIs shall be sent to :
The Lead Chief Investigator, Dr Yihai Fang , Department of Civil Engineering, Monash University, Clayton Campus (Australia)
Email : Yihai.Fang monash.edu
Closing date for expression of interest (EOI) :
Friday 9 October 2020, 11 : 55 pm AEDT