Training a New generation of Researchers in Offshore Seaweed Aquaculture to Produce High-value Chemicals - SeaChem

DC4 position is taken by Mihret Tegegn.

Project Title: Mapping corrosion around marine structures using corrosion sensors (WP1)

Host Institution: Antwerp Maritime Academy (HZS)

Country: Belgium

Supervisor: Geert Potters (PhD promoter, Antwerp Maritime Academy)

Objectives: To use a set of widely used sensors for the physicochemical environment of such a structure, as well as a machine learning algorithm to assess corrosion risk, before the damage has been inflicted.

DC3 will outfit a mobile unit with these sensors for autonomous or remote measurement of the corrosion risk in a seawater environment. DC3 will test the unit on different marine locations (calibrating the unit using existing data sets) and create a corrosion risk heat map of these locations. DC3 will optimize deployment (in terms of data storage/transfer, energy use, autonomous operation, …) for further validation of the mobile sensor unit to assess corrosion on an underwater industrial structure such as a seaweed farm. DC3 will employ machine earning methods to develop a corrosion risk algorithm. DC3 will gather data for model development and training at different marine locations (Southend Pier (UK), Blue Accelerator (BE) and a seaweed farm on the Irish coast or in the North Sea.

Expected Results: Algorithms allowing autonomous drones to assess the onset of corrosion on submerged marine structures.

Enrolment in Doctoral degree(s): Antwerp Doctoral School

Planned secondments:

Host: SPG, Supervisor: Rahimeh N. Monemi, Timing: M15-17, Length: 3 months, Purpose: testing and validation of  systems to measure and predict corrosion risks and rates around marine infrastructures (such as seaweed cultivation setups).

Host: C-CUBE, Supervisor: Guus Coolegem Timing: M28-31, Length: 4 months, Purpose: training in machine learning as a research tool in offshore applications

Candidate requirements:

  • You hold a master’s degree in mechanical engineering, materials engineering, nautical sciences or a related field and you thrive in a multidisciplinary research environment.
  • You have a solid knowledge of sensors, machine learning and their application in real-world environments.
  • You are ambitious, well organized and have excellent communication skills.
  • You speak and write fluent English and have the ability to work effectively and collaboratively.
  • You are an enthusiastic and motivated person, ready to participate in personal training, international travel and public awareness activities.
  • You have demonstrated your commitment to high quality research.


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