Spatial Big Data and IoT for Coastal Erosion, Floods Mitigation and Prediction.

Applications are invited for the post of Graduate research student for Flagship Research Grant Scheme “Data Analytics, Modelling and Visualisation” under Taylor’s University’s sponsored research project.
 
Project Duration: 3 years
Project Code: TUFR/2017/004/03
Project Title: Spatial Big Data and IoT for Coastal Erosion, Floods Mitigation and Prediction.
 
Brief of Project:
The number of people living in coastal areas is continuously and rapidly growing. Combined with storms, floods and erosion, this has a strong impact on coastal populations, infrastructures and ecosystems. Strategies and solutions depend on the availability of datasets related to the topography, the meteorology and sea data (sea level, waves, currents, etc.). These data need to be combined and analyzed effectively in order to derive knowledge and prediction. Big Data and Internet of Things (IoT) technologies (devices and software) can help attain the objectives. Big Data relates to the storage, processing and analysis of large volumes and varieties of data, in a fast and reliable manner. IoT relates to the real-time collection of data using sensors connected to servers. Spatial Big Data solutions combined with IoT will help predict and mitigate risks related to floods and coastal erosion.
 
The expected outcomes of the project are the folllowing:
1) A methodology for analyzing and visualizing environmental data sets for coastal erosion and floods
2) A methodology for integrating spatial big data sets, and spatial IoT development
3) Two prototypes validating the approach and methodologies.
 
 
Designation:
PhD Student – 2
Master’s by research student – 2
Specific Qualifications/ Requirements:
This project essentially involves gathering data from multiple sources, discovering and combining data in mashups, learning about data model creation, exploring, analyzing and visualizing spatial Big Data for predicting and mitigating risks related to floods and coastal erosion. The above task includes use of Cloud Storage, Sensors, IoT and Data Analytics. We are looking for candidates who have knowledge in algorithms, analysis, and modelling, analyzing and visualizing data using software tools with some experience in working with data from databases. Programming knowledge in Python, C or Java would be preferred. Knowledge in Geographic Information Systems would be an added advantage.
Stipend and Benefits: Students are encouraged to apply for PhD scholarship (applicable for PhD students with 100% tuition fee waiver and stipend) or Research scholarship (applicable for both Master’s and PhD students with 75% tuition fee waiver and stipend). Refer to ‘Postgraduate Funding’ for eligibility, application and selection details for the scholarships. Successful candidates who do not qualify for the above-mentioned scholarships will be funded through a Graduate Student Assistant Scheme with a monthly stipend of RM 1900-2500 (depending on the project budget). Students will be enrolled in PhD (Computer Science) under the School of Computing and IT, and MSc (Computer Science) under the School of Computing and IT.  
 
 
 
Job Description:
PhD Candidate
Candidates with a Master’s degree in Computer Science or related to Computing or any other equivalent qualification with a keen inclination to do research. Potential candidates should have knowledge in algorithms, algorithm analysis, modelling, analyzing and visualizing data using software tools with some experience in working with data from databases, and geographic information system. Successful candidates are expected to work towards their doctoral degree and participate actively in research and publication with the group.
 
Master’s by Research Candidate
Candidates with a Bachelor’s degree in Computing or in the area of Science and Technology or related to Computing or any other equivalent qualification with a keen inclination to do research. Potential candidates should have knowledge in algorithms, modelling, analyzing and visualizing data using software tools, and good in programming using C, Java or Python . Successful candidates are expected to work towards their doctoral degree and participate actively in research and publication with the group.
 
 
Interested candidates can directly contact Associate Professor Dr Raja Kumar Murugesan with their CV and research proposal via e-mail (rajakumar.murugesan@taylors.edu.my).
School of Computing and IT, Faculty of Built Environment, Engineering, Technology & Design, Taylor’s University.