Postdoctoral Researcher in Machine Learning for Structural Monitoring
hace 4 semanas
Research Field:
We are seeking a highly motivated Postdoctoral Researcher to join our team at the Universidad Politécnica de Madrid. The successful candidate will be working on the development and integration of synthetic signal generation, machine learning models for damage detection, localization, and quantification, and the implementation of the digital twin for Condition Based Maintenance (CBM) of structures.
Responsibilities:
The candidate will be responsible for developing and training machine learning models, integrating synthetic signal generation, and implementing the digital twin for CBM. They will also be working closely with the project team to ensure the successful completion of the project.
Requirements:
PhD degree in engineering (mechanical, aeronautical, telecommunications, computer science) is required. The candidate should have experience in advanced signal processing, statistical analysis, and machine learning. Good communication skills, excellent written and spoken English, and knowledge of AI frameworks such as TensorFlow, Keras, or PyTorch are also essential.
What We Offer:
We offer a competitive annual gross salary of 35,000€, flexible work schedules, and the opportunity to work with a multidisciplinary team. The candidate will also have the possibility of a research stay at BSC-CNS Barcelona.
How to Apply:
If you are a motivated and experienced researcher looking for a new challenge, please submit your application with your CV and a cover letter outlining your experience and qualifications.
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