Overview
About the project
Despite being a priority industry for injury prevention, the construction sector consistently lags behind in occupational health and safety (OH&S) performance globally. Traditional safety strategies have been exhausted, necessitating evidence-based safety innovations. One such solution is leveraging digital technology to analyse historical injury data. However, a significant amount of construction site data remains untapped.
This Natural Language Processing (Nlp)-based Quantitative Risk Assessment in Workplace Health And Safety project offered at Deakin University aims to develop tools using machine learning (ML), text mining, and large language models (LLMs) to analyse injury and accident reports, focusing on improving health and safety performance in the construction sector. Specifically, the project will implement LLM to analyze
injury/fatality reports, establish causal links between accident precursors, and develop a quantitative risk-assessment model. This model will quantify the impact of precursors on injury type and severity, enabling timely extraction of critical information for designing efficient injury prevention strategies
Programme Structure
- We are seeking a PhD candidate with a passion for solving complex global problems and the persistence to work in a multicultural, collaborative academic environment. While a basic understanding of OH&S issues is welcome, a background in ML and LLM technology will be advantageous for the candidate's selection.
Key information
Duration
- Full-time
- 48 months
Start dates & application deadlines
- Starting
- Apply before
-
Language
Delivered
Disciplines
Machine Learning View 15 other PhDs in Machine Learning in AustraliaAcademic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Student insurance
Make sure to cover your health, travel, and stay while studying abroad. Even global coverages can miss important items, so make sure your student insurance ticks all the following:
- Additional medical costs (i.e. dental)
- Repatriation, if something happens to you or your family
- Liability
- Home contents and baggage
- Accidents
- Legal aid
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Other requirements
General requirements
- academic transcripts
- curriculum vitae (CV) detailing publications, relevant professional and research experience
- evidence of English language proficiency
- statement of purpose (a written statement of your motivation)
- contact details of two academic referees.
- CRICOS Provider Code: 00113B
Tuition Fee
-
International
FreeTuition FeeBased on the tuition of 0 AUD for the full programme during 48 months. -
National
FreeTuition FeeBased on the tuition of 0 AUD for the full programme during 48 months.
All successful applicants will receive a scholarship that will cover tuition fees, a stipend and financial support.
Living costs for Geelong
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
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Scholarships Information
Below you will find PhD's scholarship opportunities for Natural Language Processing (Nlp)-based Quantitative Risk Assessment in Workplace Health And Safety.
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
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