Improving Construction Process Productivity Through the Application of Big Data Analysis
The School of Architecture and Built Environment at the University of Newcastle is offering a PhD scholarship to develop and test algorithms for mining big data sets of construction processes and costs with the intention of improving productivity. We are seeking a student with a background in construction engineering or construction management, preferably with very good IT background, to study under the supervision of Dr Sittimont Kanjanabootra.
The construction industry globally is challenged by ever increasing costs and growing complexity in the construction process. Construction processes are continually becoming more and more complex impacting on productivity. Simple analytical tools are currently not used as a method to address both of these problems.
The research focus for this PhD Scholarship will be on productivity improvement in construction using ICT and big data analysis when applied to technical aspects of for example, construction material and processes such as in Off-Site Manufacturing, Semi Inter Locking bricks, BIM enabled construction design processes and other relevant examples.
This specific PhD project will focus on developing and testing algorithms for mining big data sets of construction processes and associated costs with the intention of developing and testing ICT based quantitative solutions applicable in modern construction projects resulting in productivity improvement.
ECR Higher Degree Research Scholarship covers both tuition fee and living cost allowance for both domestic and international students during their candidature.
Eligible applicants will
- IELTS minimum of 6.5 overall with no band less than 6 (for international candidates).
- Attained Masters by research or equivalent with GPA of at least 6 out of 7.
- Background in construction engineering or construction management, preferably with very good IT background
This scholarship is available to International and Australian candidates.
Interested applicants should submit a brief CV including academic transcript, relevant work/research experience and skills, research outputs (if applicable) and interest in the project to the contact below.
Contact: Dr Sittimont Kanjanabootra
Phone: +61 02 4921 6396
This opportunity has expired. It was originally published here: