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# Data Steward - AIT Research Acceleration Platform for Energy Conversion and Storage Materials

- **Company:** AIT AUSTRIAN INSTITUTE OF TECHNOLOGY GMBH
- **Location:** Wien, Austria
- **Salary:** €56,784.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Automation of Tests, Computer Programming, Data Governance, Data Integrity, Data Stores, JSON, Python (Programming Language), Laboratory Information Management Systems, Machine Learning, Metadata Standards, NumPy, Tensorflow, SciPy, Semantic Web, Software Engineering, Pytorch, Git, Knowledge Representation, Pandas, Scikit Learn, Information Technology, Integration Frameworks, Plotly, Data Management, Software Version Control
- **Published:** October 12, 2026
- **Apply:** https://www.myscience.at/en/jobs/how_to_apply_in_switzerland

## About the Role

* Completed studies (Master's or PhD) in Data Science, Computer Science, Materials Science, Chemistry, Physics, or a related technical field.
 * Proven experience in Research Data Management (RDM), metadata standards, and practical implementation of FAIR principles and knowledge of European data management regulations (EU Data Act, EU AI Act). .
 * Strong programming skills in Python, including relevant data libraries (e.g., Pandas, NumPy, SciPy) and workflow automation.
 * Solid background in software engineering principles, including scalable architecture, automated testing, version control workflows (Git), and CI/CD pipelines.
 * Hands-on experience with semantic web technologies, knowledge representation, and ontologies (e.g., RDF, OWL, JSON-LD, EMMO) is an advantage.
 * Principal understanding of laboratory data from material synthesis, characterisation, or electrochemical testing is an advantage.
 * Familiarity with interactive visualisation tools (e.g., Plotly, Dash) and foundational machine learning frameworks (e.g., PyTorch, TensorFlow, Scikit-Learn).
 * High level of commitment, strong team spirit, and an enthusiasm for continuous learning and professional development.
 * Very good command of English (spoken and written) is essential, German language skills are an asset.

What to expect

## Description

Our Center for Energy is looking for new Ingenious Partner for our location in Vienna (Giefinggasse, 1210). In the Center for Energy, we develop sustainable, resilient energy systems to drive the green transition. As part of our digital transformation strategy, the AIT Research Acceleration Platform (ARA) integrates cutting-edge process automation, digital infrastructure, and data governance to accelerate scientific breakthroughs across disciplines such as novel battery materials, energy conversion and storage materials, microbiome engineering in agriculture or light-metal alloys.

Our team Energy Conversion and Hydrogen Technologies (ECHT) is a critical part of this platform, specifically with Energy Conversion and Storage Materials platform (ARA-ESM) dedicated to developing novel materials for clean energy technologies like water electrolysis and CO[2] conversion. A major focus lies on combining high-throughput synthesis, advanced fast-track characterisation, and digitalised research workflows to accelerate the discovery of sustainable, durable, and high-performance solutions.

Data Steward (f/m/d) - AIT Research Acceleration Platform for Energy Conversion and Storage Materials, * You will support the ECHT team in its mission of transforming traditional materials research into a fully digitalised, data-driven pipeline for rapid energy technology innovation.

 * Your tasks involve implementing standardised data structures, metadata schemas, and domain ontologies for material deposition, characterisation, and electrochemical testing to ensure full compliance with FAIR data principles and enable downstream automated analytics.
 * You will design, build, and maintain robust data pipelines to automate the ingestion, processing, and curation of complex experimental datasets directly from synthesis systems and analytical instruments.
 * You will establish and enforce clear data governance frameworks, Data Management Plans (DMPs), and access policies across the ARA-ESM domain to guarantee data integrity and security.

 * You will develop intuitive APIs, connectors, and integration workflows to link electronic lab notebooks (ELNs), laboratory information management systems (LIMS), and central data repositories.
 * You will create interactive dashboards and data visualisation tools that empower domain researchers to easily explore, query, and interpret multi-dimensional material properties.
 * You will collaborate with domain experts to prepare high-quality, interoperable datasets and support the deployment of machine learning models for predictive material discovery.