Data Science for Health and Safety in the Oil and Gas Industry
Location: Perth, WA
Duration: 4-5 months
Proposed start date: May 2018
Keywords: Data Modelling, Programming, Large Data Sets, Stochastic Processes, Network Analysis
Woodside is Australia¹s largest independent oil and gas company with a global portfolio, recognised for their world-class capabilities as an explorer, developer, producer and supplier of energy.
Woodside has developed strong data science capability in support of the company’s growth strategy, and is leading the application of data science in the oil and gas industry. The Data Science team are tasked with deploying cognitive computing, advanced analytics, artificial intelligence and machine learning for improved decision making supported by facts and data.
Research to be Conducted
Woodside’s Data Science team is seeking an intern to develop valuable insights from our extensive health and safety (H&S) records through the application of advanced and novel data science techniques. The intern will work closely with the Data science team and the H&S subject matter experts to understand the data from various data sources, identify and analyse leading indicators to safety events, and develop high value outcomes with actionable insights.
The successful candidate will gain invaluable exposure to the application of data science techniques to real problems, in a fast-paced and agile delivery environment.
We are looking for a PhD student with the following skills:
• Strong data modelling skills
• Previous experience working with/exposure to large data sets
• Programming skills e.g. R
• Some prior knowledge in stochastic processes, graph theory and network analysis will be beneficial
• Able to work as part of a team
The intern will receive $3,000 per month of the internship, usually in the form of stipend payments.
It is expected that the intern will primarily undertake this research project during regular business hours, spending at least 80% of their time on-site with the industry partner. The intern will be expected to maintain contact with their academic mentor throughout the internship either through face-to-face or phone meetings as appropriate.
The intern and their academic mentor will have the opportunity to negotiate the project’s scope, milestones and timeline during the project planning stage.
To participate in the APR.Intern program, all applicants must satisfy the following criteria:
• Be a PhD student currently enrolled at an Australian university
• PhD candidature must be confirmed
• Applicants must have the written approval of their Principal Supervisor to undertake the internship. This approval must be submitted at the time of application.
• Internships are also subject to any requirements stipulated by the student’s and the academic mentor’s university
20 April 2018
INT – 0412