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Fellowship Description

Research program title

Exploring Oil Translocation Pathways and Processes in Shoreline Environments Based on Enhanced GPR Monitoring

Reference number

7000

Supervisor

Program description

Oil pollution is one of the environmental concerns that are currently becoming a major issue in the petroleum industry. The discharge of crude oil and/or its products into aqueous environments can cause environmental damage as the spilled oil frequently reaches coast. In the proposed research program, the suitability and applicability of innovative GPR-assisted approaches to resolve practical oil spill problems will be examined through effective characterization, assessment and optimization. The proposed research by this Horizon Postdoctoral Fellow represents a unique contribution in developing methodologies for advanced oil spill management. The proposed studies will allow systematic monitoring for a number of critical environmental and technical factors that are related to oil spill. The research outcomes will provide technical and methodological supports for tackling challenges of sustainable shoreline management. In addition, the proposed network will help initiate a platform for multiple sectors and disciplines to address the oil spill response dilemma and evaluate the effectiveness of pollution mitigation approaches in a comprehensive way. The research results will be communicated to governmental, academic and industrial circles through publications of research articles, reports and newsletters, provision of seminars and workshops, transfer of technologies, and other appropriate communication channels.

Academic qualifications required

  • Relevant post-graduate training (PhD or previous PDF) in areas of advanced GPR-assisted analysis.
  • A PhD awarded within the six years immediately preceding the appointment.
  • A proven track record of experimental and simulation research and experience in supervising students.
  • Expertise in integrated GPR, modelling, finite and boundary element methods large scale modelling of field problems, and image processing is desirable.
  • An ability to work in a highly collaborative, multidisciplinary team environment must be demonstrated.
  • Evidence or leading-edge publications in the scientific literature is required as are strong written and oral communication skills in the English language.
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