Basque Center for Applied Mathematics – BCAM is offering a Postdoctoral position in the framework of IA4TES – Inteligencia Artifical para la Transición Energética Sostenible (Artificial Intelligence for Sustainable Energy Transition) project. This job offer, in particular, is to work in Simulation of Wave Propagation group at BCAM with D. Pardo and V. Nava, where the researcher will work on Machine Learning, Data-Driven Computing, Numerical Simulation, Degradation Models, Transfer Learning, Offshore Wind Energy.

Contract and offer: 2 years
Deadline: 28 February 2022
More info and applications at: http://www.bcamath.org/en/research/job/ic2022-02-postdoctoral-fellow-on-modelling-the-remaining-useful-lifetime-for-offshore-wind-energy-technologies

Requirements: PhD in Mathematics and/or Civil, Mechanical, Industrial, Offshore Engineering or similar areas.

Skills:
– Good interpersonal skills.
– A proven track record in quality research, as evidenced by research publications in top scientific journals and conferences.
– Demonstrated ability to work independently and as part of a collaborative research team.
– Ability to present and publish research outcomes in spoken (talks) and written (papers) form.
– Ability to effectively communicate and present research ideas to researchers and stakeholders with different backgrounds.
– Fluency in spoken and written English.

The preferred candidate will have:
– Experience in reliability modelling of the remaining useful life for components/subsystems/systems using Bayesian approaches.
– Experience in degradation modelling.
– Experience in machine learning techniques and in particular in Transfer Learning problems.
– Experience in treatment of long time series.
– Experience in simulation of long time series.
– Good programming skills in Python and R.
– Interest and disposition to work in interdisciplinary groups.
The candidate would preferably be in possess of:
– Experience in the sector of offshore wind energy, or offshore oil and gas, or structures in offshore environment.