Career opportunities

Administrativo para dar apoyo al departamento de Recursos Humanos.

IMDEA Materials Institute is seeking research support at the predoctoral level for a fast-paced project, funded by the Horizon Europe Pathfinder program, to develop smart 4D implants for dynamic tissue restoration, in particular focusing on the in vitro characteriz ation of the developed materials and devices.

IMDEA Materials seeks a motivated PhD candidate to contribute to the European Project on Digital Twins for Structural Health Monitoring. The primary objective of this project is to advance digital technologies that enable the creation and application of digital twins SHM in advanced structural composite materials.

The candidate will participate in a public funded research project (BIOFUN3D – “Controlled degradation of bioabsorbable implants through the introduction of functional gradients using 3D printing, Proyecto de Generación de Conocimiento”) aiming at developing and studying Zn-based alloys with functional gradients via laser powder bed fusion (LPBF) process.

This position focuses on characterizing the powder, the LPBF process and the characterization of the mechanical, degradation and biological properties of the manufactured materials.

IMDEA Materials is seeking a Master in Informatics/Data Manager to work on the project Unlocking Innovation through FAIR Data Practices in Additive Manufacturing and X-ray Imaging at IMDEA Materials (FAIR-LAB). This project aims to promote the adoption of FAIR (Findable, Accessible, Interoperable, Reusable) data practices in metal additive manufacturing (AM) and X-ray computed tomography (XCT) characterization. It will create a standardized environment for integrating the AM production process with XCT characterization, facilitating more efficient workflows and comprehensive data management. The candidate will oversee developing the ecosystem (hardware and software) for data integration, management and consultation. The development of a custom data management APIs and frontend will ensure the organization, accessibility, and reusability of the data for future research, enhancing the field of metal AM and promoting open science.

The candidate is expected to have a solid background in informatics, Linux system and programming skills (Python, Java, etc.), as well as the ability to handle system administration, and a strong commitment to developing his activity in an international and multidisciplinary environment.

The candidate will participate in a public funded research project (CompoSTLar – “Boosting the digital transformation of aviation supply chains for advanced composite aerostructures, an Horizon CL5-2024-D5-01-08 project”) aiming at developing a holistic, AI-powered, and digitally integrated ecosystem for the advanced design, manufacturing, maintenance, and recycling of novel graphene-functionalized thermoplastic composite aerostructures, with a focus on zero-defect production, intelligent repair, and sustainable circular manufacturing.

This PhD focuses on AI model implementation for discovery of defects in composite material (CFRP) from ultrasonic measurements, by mean of automated data annotation from X-ray computed tomography data. The ultrasonic (US) data will be provided by project partners from US in-situ monitoring of the CFRP during automated tape layering.

The candidate will test and optimize new machine learning models including (but not restricted to) k-neighbours, support vector machines, ensemblings, and neural networks.

We are looking for an excellent candidate to fill in this position via incorporating HPPN group (http://www.materials.imdea.org/groups/hppn/), mainly focusing on studying new generation fire-safe energy storage materials, such as Lithium-ion batteries, supercapacitors, etc.

The candidate will participate in a public funded research project (METALIA – “Enabling technologies for the implementation of Artificial Intelligence in the value chain of the Additive Manufacturing of new metal alloys”) aiming at developing materials for various applications (space, biomedical, aeronautic, etc.) by additive manufacturing (AM). This PhD focuses on advancing the development of additive manufacturing of metamaterials using shape memory alloys and functional gradients. These innovative structures, based on generative designs, biomechanical properties, and metamorphic capabilities, will enable a new generation of intelligent and personalized implants.

The candidate is expected to have a solid background in material science and engineering or related field/discipline and a strong commitment to developing scientific activity in an international and multidisciplinary environment.

The institute is searching for an IT technician to provide support to the Institute's IT systems to ensure the optimal functioning of the Institute's resources.

IMDEA Materials looks for candidates for application to Community of Madrid Industrial Doctorate grants in artificial intelligence and machine learning to produce raw prepreg materials for aerospace applications.

IMDEA Materials Institute is seeking a technician to support the activities for a laboratory dedicated to biomaterials and cell culture.

Research assistant in polymer 3D printing. Successful candidate will operate 3D printers using various pelletized materials, monitor print quality, and report results

The objective of the position is to assist the Building Infrastructure Manager in the supervision of all corrective, preventive and predictive maintenance operations of the facilities of the company's headquarters building, as well as of the strategies leading, modifying new or existing facilities and installing scientific equipment.

Research assistant in polymer 3D printing. Successful candidate will operate 3D printers using various pelletized materials, monitor print quality, and report results

IMDEA Materials Institute is seeking a Senior Researcher in Materials for Health Care.

Thermo-mechanical meshless simulations of melt pool dynamics in fusion-based additive manufacturing

Postdoctoral research associate on scattering methods (WAXS/SAXS, SLS) applied to networks of nanowires to study their aggregation and macroscopic properties as electrodes and structural materials.