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PhD Student - Modeling and control design for automotive fuel cell systems (MARÍA DE MAEZTU)

Date of call





Maria Serra Prat



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The "Institut de Robòtica i Informàtica Industrial (IRI), CSIC-UPC" is seeking a PhD student to work under the framework of the María de Maeztu (MdM) Unit of Excellence Seal.

IRI is a Joint University Research Institute participated by the Spanish National Research Council (CSIC) and the Technical University of Catalonia (UPC) that conducts research in human-centered robotics and automatic control. The institute, is a key player in the Spanish robotics and automatic control scenes, and a valued participant in a large number of international collaborations including more than ten ongoing H2020 projects and an ERC Advanced Grant. Recently, is has been recognized as a Maria de Maeztu Excellence Unit, the main accreditation given by the Spanish Government to research units that stand out for the impact and international relevance of their results.

A PhD position under the MdM Strategic Research Programme will be covered starting as soon as possible.
The PhD thesis will be supervised by Prof. Maria Serra and Dr. Attila Husar.

The PhD candidate will work on model based control algorithms for the enhancement of automotive fuel cell system efficiency and durability. The candidate should have knowledge on automatic control and dynamic modeling, and willing to learn mechanical/thermal/electrochemical systems. He or she will be testing their control strategies on a real system. The candidate will be integrated into the Automatic Control line of the institute.


Qualifications: Masters in automatic control or industrial engineering
Knowledge: The applicants should have skills in programing in MatLab/simulink and be proficient in english


Please, send your documentation before 19/04/2019 to:

Email: jobs (at)
Address: Parc Tecnològic de Barcelona. C/ Llorens i Artigas 4-6, 2a planta. 08028 Barcelona, Spain.
Fax: 93 401 57 50
Note: Please, remember to reference the offer (ID-73) and include the following documentation: CV, introductory letter with a statement of research interest, undergraduate/Masters classes taken and grades, contact information to persons willing to act as references