Would you like to build the future? Join CIDETEC! CIDETEC is a technology centre that brings together three leading international centres in the fields of Energy Storage, Surface Engineering and Nanomedicine. For more than 25 years, we have been working with leading companies to develop technology that makes the world a better place.
A cutting-edge, diverse and international centre awaits you!
CIDETEC Energy Storage will select a candidate to join its Energy Storage Systems unit to pursue a doctoral thesis focused on the development of advanced algorithms for diagnostic and prognosis applications.
Your contribution
You will form part of a state-of-the-art research centre geared to sustainability and the circular economy, which has helped electrify Spain's roads and is now working towards 100% future sustainability.
You will be conducting your thesis in a cutting-edge field focused on anomaly diagnosis algorithms and failure prediction within a digital twin execution environment.
Your work will be focused on:
Development of state of health estimation algorithms.
Development of anomaly detection algorithms.
Development of anomaly prediction algorithms.
Implementation of the algorithms in a digital twin execution environment.
Validation of the developed algorithms in an electric vehicle.
What we offer you
At CIDETEC you will be able to develop your career alongside a team of top-level professionals, in a young yet committed environment, dedicated to innovation and seeking to provide practical solutions for a more sustainable world.
Professional development opportunities that will help you build a solid career, working on projects to transform industry and society.
Work with top-level teams in local, national and European settings.
Work-life balance initiatives.
Privileged setting in a safe and friendly environment.
Variable remuneration bonus for all employees.
Requirements Education: Engineering/Physics/Mathematics/Artificial Intelligence.
Languages: Fluent in spoken and written English.
Knowledge: The successful candidate will demonstrate a sound knowledge in:
Statistics and stochastic processes.
Programming in Python.
Knowledge of batteries.
Additionally, knowledge in the following areas will be an advantage:
Programming in C or C++.
TCP/IP and CAN communication.
Application of artificial intelligence algorithms.
Structured and unstructured databases.
Observations: A highly motivated individual with an interest in research and innovation will become part of a multidisciplinary team. They will be capable of organising their work while meeting the established deadlines and objectives.
*We positively value applications from people with a disability equal to or greater than 33%, in compliance with current legislation, the General Law on the Rights of Persons with Disabilities and their social inclusion (LGD).
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