Basque Center for Applied Mathematics is offering a Computational Methods for Reliability and Structural Health Monitoring. This work is framed in IA4TES – Inteligencia Artifical para la Transición Energética Sostenible project. This offer, in particular, is to work in Computational Mathematics area at Basque Center for Applied Mathematics - BCAM, where Machine Learning, Data-Driven Computing, Numerical Simulation, Degradation Models, Transfer Learning, Deep Learning, Partial Differential Equations, Inverse Problems topics will be worked. Requirements: Applicants must have their Bachelor’s or Master degree preferable in Physics, Mathematics, Civil/Mechanical/industrial Engineering, or related fields Possess of PhD in the fields will be positively considered in the evaluation 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: The preferred candidate will have: Background in inverse problems. Background in reliability modelling applied to structural mechanics. Experience in treatment and simulation of time series. Good programming skills in Python and R. Interest and disposition to work in interdisciplinary groups.
Last updated: 27 May 2022