Research Fellow in Trajectory Data Mining
The Research Fellow will work in an exciting research project partnered with a global aerospace technology company. The Research Fellow is required to undertake research activities in line with the project plan and tasks. The Research Fellow will carry out independent research under the supervision of the project’s Chief and Partner Investigators. The outcomes of the research will have a significant impact in the area of spatio-temporal data analytics and machine learning applied to the domain of airport operations.
The Research Fellow’s role is primarily to plan, develop and engage in high quality research papers using several large-scale trajectory datasets. The Research Fellow will embed their research expertise into the life of the School through the development of high-quality, productivity-driven research groups in across CSIT and with local and international, internal and external partners. Research Fellows will be expected to engage in this high quality research project, to produce high quality outputs, which potentially will lead to further research funding.
PhD scholarship available for up to two outstanding PhD candidates at the Computer Science and Information Technology, School of Science, at RMIT University, Melbourne Australia for 3 years.
It is a fully-funded PhD research to work in an Australian Research Council (ARC) Linkage project (2016-2019) “Swarming: micro-flight data capture and analysis”.
Summary of the PhD project.
The candidate will develop techniques for analyzing and inferring spatio-temporal sensor data captured from the drones. The candidate needs to deal with the data sparsity, data quality, and uncertainty issues in multi-dimensional sensor readings from drones. The candidate will also investigate data analysis techniques for profiling and predicting weather and wind phenomena using data collected from drones. Using high-performance techniques for multivariate spatio-temporal prediction, a large volume of historic and near real time highly multidimensional sensor data will be analysed, visualized, and evaluated.
ARC Linkage Project Background.
In response to the urgent need for more site specific and vertical environmental information to inform the design of sustainable urban design, this project investigates the use of Micro Air Vehicles (drones) equipped with diverse lightweight sensing equipment to gather site specific environmental sensor data.
This multidisciplinary team of researchers from RMIT, with Aurecon, one of the world’s leading engineering, design, planning, project management and consulting company and Australian unmanned aerial vehicle specialist UAV-Australia, are proposing to research, for the first time the usage of emerging micro flight technology to gather and analyse large volume of heterogeneous sensor data, over extended time periods and locations, with the aim to inform urban design and planning, and integrate them for urban design and urban computing applications.
Two types of scholarships> are available:
1. RMIT central scholarships (A$29,288/year – tax free) plus an addition of $7,000 top up scholarship/year for three years.
2. ARC Linkage scholarship (A$25,000 / year – tax free).
The scholarship is valued at AU$25,000 per annum for three years (with a possibility of a six months extension).
The selected candidate will also receive a tuition-fee waiver.
Eligible candidates can apply for both types of scholarships. To be eligible for these scholarships you must:
• have strong competencies in machine learning, data mining, statistics, and data visualization.
• have strong understanding of algorithms and data structures, abilities to analyse and design algorithms.
• have an Honours or a masters degree in the area of Computer Science or related discipline, with outstanding grades
• meet RMIT’s PhD entry requirements
• show evidence of research ability — e.g. an honours degree, a minor thesis, some publications, and a well-developed preliminary research proposal
• have an interest in cross-disciplinary research and ability to work in a team.
Dr. Flora Salim, Computer Science and IT, RMIT University, Melbourne
Supervisor’s deadline: 14 September 2017.
All applicants need to first submit their documents to Flora.Salim@rmit.edu.au before submitting the PhD and scholarship applications (two-stage process) to RMIT by the central deadline (31 October 2017).
The positions will commence in Semester 1, 2018 (March 2018).
CV (which includes a list of publications), academic transcripts, and a research proposal.
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).
RMIT is a global university of technology and design, focused on creating solutions that transform the future for the benefit of people and their environments. RMIT prides itself on the strong industry links it has forged over its 128-year history. Collaboration with industry is integral to the University’s leadership in applied research and education, and to the development of highly skilled, globally focused graduates.
We are a 5-Star university under the QS Stars international evaluation system, and are 32nd in the world among universities less than 50 years old (2014 QS Top 50 Under 50 index). With three campuses in Melbourne (Central Business District, Brunswick and Bundoora), two in Vietnam (Hanoi and Ho Chi Minh City) and a centre in Barcelona, Spain, RMIT is a truly global university with industry partnerships in three continents.
The RMIT School of Computer Science and Information Technology is one of Australia’s largest educators in this field. It is ranked in the top 100 in 2015 QS World Ranking for Computer Science and Information Systems. RMIT CS&IT has also achieved two ERA 4 rankings (above the world standard) in the fields of Artificial Intelligence and Information Systems.
Melbourne is the most liveable city in the world, for six years in a row, according to The Economist’s liveability ranking.
For more information, contact Flora Salim firstname.lastname@example.org