Career opportunities

A postdoctoral position to study the structure-property relations in nanostructured networks

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.

El Técnico de Prevención, en coordinación con el Servicio de Prevención ajeno, proporcionará apoyo al Instituto para garantizar el cumplimiento de la legislación sobre prevención de riesgos laborales.

We are looking for a full-time postdoctoral scholar in "Materials Science and Electrocatalysis" for the newly established research group of Prof. Dr. habil. Harun Tüysüz.

The project is focused on additive manufacturing by LPBF, post-treatments, microstructure, and mechanical characterization of shape memory alloys. This project is well suited for a master's in materials engineering.

Doctoral thesis focused on crystal control in synthesis of inorganic nanowire networks by floating catalyst chemical vapour deposition for applications in energy

Postdoctoral research position focused on atomistic simulations of solid-liquid interfaces in aluminum alloys to calculate interface properties (e.g., excess free energy, kinetic coefficient) and their anisotropy, as well as to identify the role of impurities (e.g., tramp elements in recycling).

A position focused on programming of laboratory robots

IMDEA Materials Institute is seeking a researcher in the area of Sustainable Powder Metallurgy

IMDEA Materials Institute is seeking a researcher in the area of Non linear Solid Mechanics

Data Engineer to work on the project Unlocking Innovation through FAIR Data Practices in Additive Manufacturing and X-ray Imaging at IMDEA Materials (FAIR-LAB).

Director position at IMDEA Materials Institute

The presence of defects in carbon fibre reinforced composite materials is a common manufacturing defect that could endanger the in-service performance of components. Composite materials are usually inspected by ultrasonic testing. The use of machine learning models could discover the hidden patterns of the interaction between the defects and the ultrasound wave. On the other hand, X-ray tomography (XCT) is by far the best technique for non-destructive damage assessment in composite materials, being able to identify in 3D manufacturing defects.The use of machine learning models could discover the hidden patterns of the interaction between the defects and the ultrasound wave. XCT will be used as ground through and to benchmark the results from machine learning models.

IMDEA Materials seeks a motivated PhD candidate to participate in a regional project by the Community of Madrid focused on the design, manufacture, and characterization of biodegradable scaffolds based on zinc alloys by Laser Powder Bed Fusion (LPBF).

El técnico de laboratorio proporcionará labores de apoyo a la investigación en el laboratorio de microscopía electrónica del Instituto, este laboratorio está compuestos por un TEM, dos SEM, un equipo FIB, y microscopios ópticos todos ellos con una amplia versatilidad experimental. Dichas tareas incluyen el mantenimiento preventivo y correctivo de los equipos, preparación de muestras, tareas de formación de otro personal investigador en el uso de los equipos así como tareas de apoyo durante el desarrollo e implementación de experimentos "especiales", como la realización de ensayos in situ tanto mecánicos como de nanoindentación.

El puesto solicitado dará soporte al laboratorio químico de IMDEA y de caracterización del comportamiento de materiales polímeros frente al fuego. Además ayudará en las labores de procesado de materiales y compuestos poliméricos.

El puesto solicitado dará soporte en las nuevas instalaciones de IMDEA Materiales, donde se llevarán a cabo la instalación y puesta a punto de equipos de procesado de polímeros y biopolímeros, ensayos específicos sobre comportamiento frente al fuego, entre otros.

IMDEA Materials Institute is seeking research support 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 degradation and corrosion characterization of the developed materials.

The candidate will apply advanced methods for 3D image processing, including artificial intelligence (AI) models, to evaluate digital volumes, automate processes, and develop new metrics focused on LAM. This will contribute to projects such as 3D-MetJet, METALIA, and BIOFUN3D, which are relevant to the assistant's activities within the context of Industry 4.0. Additionally, they will receive training in areas such as materials, signal/image analysis, programming, and more.

Post-doctoral research associate - Artificial Intelligence applied to enhancement of X-ray Computed Tomography

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.

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 Data Engineer/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.

The candidate will be responsible for designing and implementing scalable data pipelines for both batch and streaming data processing, establishing the foundation of a data lake to integrate and manage heterogeneous datasets generated throughout the AM and XCT workflows. The role involves developing robust solutions for data ingestion, transformation, storage, and access, ensuring compliance with FAIR principles.

The ideal candidate should have a strong background in data engineering, including experience with big data frameworks (e.g., Apache Spark, Kafka, or similar), cloud storage solutions, SQL/NoSQL databases, and data pipeline orchestration tools. Proficiency in programming languages such as Python, Java, or Scala, as well as familiarity with Linux system administration, is highly desirable. The candidate should also be comfortable working 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.

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.

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.

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