英国南安普敦大学2020年招聘博士后（海洋工程）

Research Fellow - Towards A Digital Twin: Developing a marine corrosion

model using AI

Civil, Maritime & Environmental Engineering

Location: Boldrewood Campus Salary: £30,942 to £38,017Full Time Fixed Term (Until 30/06/2021) Closing Date: Wednesday 29 July 2020 Interview Date: To be confirmed Reference: 1273120DA

You will join the Maritime Engineering Group at the University of Southampton and contribute to the project “Towards A Digital Twin: Developing a marine corrosion model using AI”. The project is closely collaborating with key stakeholders in the marine industry to develop an integrated solution to allow accurate prediction of marine structural performances and degradation in service. You will undertake the following:

Further develop the physics-based machine learning methodology for material degradation prediction in marine environments.

Contribute to the development of a ship structural model that is capable of predict life-cycle performances.

Writing/editing report and presenting progress at regular meetings with academic team and industrial partners.

Participation in impact and public engagement activities.

Disseminate research outcome through publications.

This requires the Research Fellow to have the following skills and experience:

PhD degree in maritime engineering or equivalent professional qualification and experience

Post doc experience in developing physics-based machine learning and its application in material sciences.

Knowledge of marine corrosion and naval architecture.

Programming skills in Python.

Expertise in nonlinear finite element analysis of marine structures.

Experience in digital twin modelling is desirable but not essential.

Application procedure:

You should submit your completed online application form at www. jobs.soton.ac.uk. The application deadline will be midnight on the closing date stated above. If you need any assistance, please call Charlene Tyson (Recruitment Team) on +44 (0) 23 8059 6803. Please quote reference 1273120DA on all correspondence.