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Job Record #18746
TitlePost-Doctoral Researcher
CategoryPostDoc Position
EmployerTexas A&M University, Department of Ocean Engineering
LocationUnited States, Texas, College Station
InternationalYes, international applications are welcome
Closure DateMonday, January 15, 2024
Post-Doctoral Researcher

Location: Texas A&M University, College Station, Texas
Salary: $56.000 plus benefits
Full Time, Nominal Term 12 months
Applications may be considered until position is filled.
Applications before December 1st 2023 are guaranteed to be given full consideration.
Expected Start Date: 15th of January 2024

SMART-SEA: Safe Maneuvering using Augmented Radar Tracking for Sea-based Entity Avoidance

The Department of Ocean Engineering at Texas A&M University is looking to recruit a Post-Doctoral researcher in the field of Computational Fluid Dynamics to join the SMART-SEA project. SMART-SEA is aimed at improving safety of vessels and offshore structures by providing an audiovisual entity avoidance aid for vessel crews; reducing the risk of collisions. Funding is provided from the US Department of the Interior, through the Ocean Energy Safety Institute (OESI). The project combines aspects of Naval Architecture, Computational Fluid Dynamics (CFD), Computer Vision, Machine Learning and Maritime Law. The successful candidate will join a team of experts in the above-mentioned fields, together with a focus group of mariners with over 100 years of combined seafaring experience.

Applicants must hold a doctoral degree in Naval Architecture, Ocean Engineering or closely related fields. They must also have experience with CFD for industrial applications and be able to incorporate a CFD methodology through data fusion within the wider collision avoidance system. Experience with OpenFOAM, ship flows, propeller/rudder interaction or maneuvering is preferred. The project also involves field testing of the system, so experience with field data collection and processing is beneficial. Due to the multidisciplinary nature of the project, experience that would give the successful candidate a more informed “wider picture” will also be beneficial. This could involve experience in Machine Learning, Computer Vision, Radar Tracking, Marine Law or navigational “rules of the road”.

The main tasks of the successful candidate will be

  • Developing and implementing a CFD methodology for obtaining maneuvering characteristics of a specific vessel.
  • Integrating the maneuvering characteristics in a real-time object avoidance system.
  • Field testing.
  • Communication and collaboration with faculty members and graduate students on the project.

This position does not include teaching; but teaching opportunities may be available upon request.
Contact Information:
Please mention the CFD Jobs Database, record #18746 when responding to this ad.
NameBjorn Winden
Email ApplicationYes
Record Data:
Last Modified20:20:00, Monday, October 02, 2023

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