23 Feb 2022

Postdoctoral Fellow on Inverse Methods for Structural Health Monitoring of Offshore Wind Energy Technologies at Basque Center for Applied Mathematics – BCAM

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 Deep Learning, Data-Driven Computing, Partial Differential Equations, Inverse Problems and 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-inverse-methods-for-structural-health-monitoring-of-offshore-wind-energy-technologies

Requirements:
– Applicants must have their PhD completed before the contract starts.
– 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:
– Strong background in the numerical solution of Partial Differential Equations and/or Deep Learning techniques.
– Background in Inverse Problems.
– Experience in treatment of long time series.
– Experience in simulation of long time series.
– Experience in modelling Failure Modes and Effects Analysis (FMEA) for components / subsystems / systems.
– Good programming skills in Python and preferably, also Tensorflow.
– 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