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| Job Record #18746 | |
| Title | Post-Doctoral Researcher |
| Category | PostDoc Position |
| Employer | Texas A&M University, Department of Ocean Engineering |
| Location | United States, Texas, College Station |
| International | Yes, international applications are welcome |
| Closure Date | Monday, January 15, 2024 |
| Description: | |
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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
This position does not include teaching; but teaching opportunities may be available upon request. |
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| Contact Information: | |
| Please mention the CFD Jobs Database, record #18746 when responding to this ad. | |
| Name | Bjorn Winden |
| winden@tamu.edu | |
| Email Application | Yes |
| Record Data: | |
| Last Modified | 20:20:00, Monday, October 02, 2023 |
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