Research Support - Digitalization of manufacturing processes, database creation and population,[...]
hace 3 días
Getafe
IMDEA Materials Institute is a public research organization founded in 2007 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. Envíe su CV y cualquier información adicional requerida después de haber leído esta descripción, haciendo clic en el botón de solicitud. Description IMDEA Materials is seeking a Research Assistant to support the development and deployment of FAIR data infrastructure within the FAIR‑LAB project, aimed at enabling data‑driven research in additive manufacturing (AM) and X‑ray computed tomography (XCT). The selected candidate will work closely with data engineers and researchers to digitalize experimental workflows, structure datasets, and ensure their integration into a FAIR‑compliant data ecosystem. This includes supporting the creation of a centralized repository, implementing metadata standards, and preparing datasets for downstream analytics and AI applications. Unlike a pure data engineering role, this position focuses on data preparation, structuring, and FAIR compliance, acting as a critical bridge between experimental research and scalable data infrastructure. Responsibilities • Support the digitalization of experimental workflows in metal additive manufacturing and XCT, including data collection, structuring, and standardization., • Assist in the implementation and population of a FAIR‑compliant data repository, ensuring datasets are properly stored, versioned, and accessible., • Apply FAIR data principles (Findable, Accessible, Interoperable, Reusable) to experimental datasets through metadata annotation and validation., • Support the definition and implementation of metadata schemas, ensuring traceability of materials, process parameters, and experimental conditions., • Assist in data ingestion and preprocessing pipelines, including cleaning, formatting, and organizing heterogeneous data sources (machine logs, images, simulation outputs, etc.)., • Collaborate with researchers to translate experimental data into structured digital formats, enabling integration into the FAIR‑LAB data platform., • Contribute to the development of basic data analysis and AI workflows, including dataset preparation for machine learning models., • Support validation and quality control of datasets to ensure consistency, completeness, and usability. Requirements • Basic programming skills in Python and familiarity with data‑handling libraries (pandas, NumPy)., • Understanding of data structures, databases (SQL/NoSQL), and file formats (CSV, JSON, HDF5)., • Familiarity with machine learning concepts and data preprocessing techniques., • Interest or basic knowledge in FAIR data principles or scientific data management., • Ability to work with heterogeneous datasets (images, sensor data, logs)., • Strong attention to detail in data organization, documentation, and validation., • Ability to work in a multidisciplinary research environment with engineers and scientists., • Good communication skills and proficiency in English. Mandatory Requirements • Age 16–29 years old, be under 30 years of age at the date of hiring., • Degree/qualification according to the requested profile., • Registered as an unemployed job seeker at the employment office within the National Employment System (SEPE) before hiring:, • No employment relationship with IMDEA during the six months prior to hiring. Other Requirements • At least a Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field, or about to complete a Master’s degree., • Basic programming skills in Python., • Knowledge of data structures and databases (SQL or NoSQL)., • Ability to work with structured and unstructured data formats (CSV, JSON, etc.)., • Good level of English (written and spoken). Negative Requirements (skills not required) • Familiarity with scientific data management or FAIR principles, • Experience with data processing libraries (pandas, NumPy), • Basic understanding of machine learning workflows, • Experience working in Linux environments, • Attention to detail in data organization and documentation Deadline Open until a suitable candidate is found. Impact The selected candidate will directly contribute to building the data foundation of FAIR‑LAB, enabling reproducibility, interoperability, and AI‑driven insights in additive manufacturing and XCT workflows. Conditions • Full‑time contract for 12 months., • Availability to start in July 2026. Benefits The working language of the Institute is English. Full command of English is required in all positions. IMDEA Materials Institute is committed to equality and a healthy work environment. Female applicants are encouraged to apply to our research and technical positions. xcskxlj Beyond technical training, the Institute offers training in transversal skills. #J-18808-Ljbffr