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PhD Scholarship at RMIT - Position Filled

posted Dec 6, 2015, 9:13 PM by Prem Prakash Jayaraman   [ updated May 28, 2016, 8:36 AM ]

***Title: PhD Scholarship on context-aware data analysis for micro-scale air pollution monitoring, predicting and alerting


RMITs School of Computer Science and Information Technology in Melbourne, Australia, invites outstanding candidates to apply for 3 years (2016 – 2019) PhD Scholarship that is funded by Data61 at CSIRO.


***Open Date: Applications are NOW open!


***Closing Date: 30 January, 2016


***Commencement Date: Successful applicants for this PhD position must commence by March 2016.


***Value and duration:

The scholarship is valued at AU$26,000 per annum for three years (with a possibility of a six months extension).

The selected candidate will also receive a tuition-fee waiver.




To be eligible for this scholarship you must:

  • Meet RMIT’s PhD entry requirements.

  • Have highly competitive grades.

  • Show evidence of research ability, i.e., have an honours degree, a master thesis, publications, or research training.

  • Have strong research interests in the Internet of things, Context-aware computing, Mobile Computing, and/or Data Mining, and submit a PhD research proposal in a relevant topic.

  • Have interest to perform cross-disciplinary research and work in a team.

  • Possess strong programming skills (C/C++, Java, Python, Ruby).


***Research Project Background:


Air pollution is a significant threat in urban environments since it is known to cause respiratory problems as well as various lung diseases. Therefore, continuous air quality monitoring, visualisation, dissemination to customers is very important, especially in (Smart) Australian state capitals. For example, Melbourne's city centre has almost as many days of poor air quality as the coal-burning Latrobe Valley and experts warn it could get worse as our population grows. The fixed air monitoring stations (network consists of 11 stations for the whole city of 4 million people) of EPA (Environment Protection Authority Victoria) update air quality data hourly at a macro scale and only cover a few suburbs. Since the air contamination is usually location-dependent (e.g., transport junctions and industrial areas increase air pollution), the air quality should be monitored in city areas at finer granularity, both in space and time (micro-scale). This is currently not feasible by static measurement stations, but can be achieved by involving citizens in the air quality monitoring process (crowd-sensing or crowd-sourcing) so that they carry wearable sensors measuring various air pollutant gases while moving through the city.


In this project, we aim to investigate the use of a number of mobile air pollution detectors (e.g., 100) connected to mobile smart phones, each mounted to a moving object such as a person or a vehicle combined with static air monitoring station, to capture and predict air quality and draw real-time air pollution map of the city at a micro scale. In order to deliver high quality micro scale air pollution map of the city, the pollution model has to consider the spatial and temporal dimensions of the data collected, capture the local context of the region to detect air pollution problems, and consider the relationship between the density of the monitoring data and the prediction accuracy (e.g. solving the hard problem of the minimal set of mobile stations required to reach acceptable level of accuracy depending on application requirements).


The PhD student may have an opportunity to contribute to the Data61, CSIRO EU Horizon 2020 project "bIoTope H2020 project (2016-2019)" (


***Research project Team:


RMIT University


Professor Dimitrios Georgakopoulos


Dr.Ke Deng (Lecturer)


Dr. Prem Prakash Jayaraman (Research Fellow) (contact for further enquires and expression of interest)



Professor Arkady Zaslavsky (Senior Principal Research Scientist)


***How to Apply


To apply for the scholarship, you must complete an application consisting of:


  • A detailed curriculum vitae with publications (if any)

  • Undergraduate and honours/master transcripts

  • For international students from non-English speaking countries, when submitting the application to RMIT system, a proof of English proficiency may also be required (IELTS or TOEFL)

  • Contact details of at least two referees.


Please first submit these documents to for approval before you submit your PhD application to RMIT University.