AUTOMATIC MICROSTRUCTURE RECOGNITION AND ANALYSIS APPLIED TO STEELS

IMDEA Materials Institute is a public research organization founded in by Madrid’s regional government to carry out research of excellence in Material Science and Engineering by attracting talent from all over the world to work in an international and multidisciplinary environment.
IMDEA Materials has grown rapidly since its foundation and currently includes more than 120 researchers from 22 nationalities and has become one of the leading research centers in materials in Europe which has received the María de Maeztu seal of excellence from the Spanish government.
The research activities have been focused on the areas of materials for transport, energy, and health care and the Institute has state-of-the-art facilities for processing, characterization and simulation of advanced materials.
More information can be found at our webpage.
Description IMDEA Materials has an immediate opening for a postdoctoral research position on computer vision and machine learning approaches to microstructure recognition and analysis applied to steels.
The Advanced Characterization Program aims at developing toos for the automatic microstructural analysis of advanced steels with complex microstructures.
One of the approaches relies on the use of advanced characterization tools and correlative microscopy (optical microscopy, scanning electron microscopy, transmission electron microscopy, electron backscatter diffraction, energy dispersive X-ray spectroscopy, X-Ray diffraction, nanoindentation, etc.), in order to enrich the information content for the same field of view and to capitalize this multimodal information.
The candidate will lead the activities in this area, in close collaboration with industrial partners, including steel manufacturers.
He/she will have full access to state-of-the-art characterization equipment and will be encouraged to interact with our industrial partners and external collaborators.
He/she will also be given the opportunity to supervise undergrad/master’s students.
Requirements Demonstrated experience in advanced microstructural characterisation of metallic alloys, preferably steels.
PhD in materials science, metallurgy, physics, or a related discipline Experience in image analysis is recommended (thresholding, filtering, registration, etc.) Experience in machine learning / computer vision methods is recommended, but not a prerequsite.
The candidate however should have interest in programming Command of written and spoken English is a prerequisite.
Conditions 2 years post-doctoral contract.
Full-time contract including social security coverage.
Expected start date.
as soon as a viable candidate is found.
Applications are processed upon reception.
The position might be closed once ten working days have passed since publication, so we encourage early application.
The working language of the Institute is English.
Full command of the English language is required in all positions.
Applications are processed upon reception.
The position might be closed once ten working days have passed since publication, so we encourage early application.
The working language of the Institute is English.
Full command of the English language is required in all positions.
WHAT YOU WILL FIND AT IMDEA.
Stimulating environment where you can grow professionally.
IMDEA Materials Institute is committed to equal opportunities, diversity and the promotion of a healthy work environment and work-life balance.
Female applicants are encouraged to apply to our research and technical positions.
See our Gender Equality Plan here and our Code of Ethics here.
Besides on-the-job technical training, IMDEA Materials Institute is committed to training the Institute’s scientists and staff in “soft” or transversal skills.
See the available training here.
Meet some of our alumni to see what it is like to work with us.