Job
In this role, you design data structures and pipelines to process, curate, and visualize experimental datasets, applying FAIR principles and modern technologies for effective data management.
Job technologies
Your role in the team
- 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.
Our expectations of you
Qualifications
- Completed studies (Master’s or PhD) in Data Science, Computer Science, Materials Science, Chemistry, Physics, or a related technical field.
- 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.
- 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.
Experience
- 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).
- Hands-on experience with semantic web technologies, knowledge representation, and ontologies (e.g., RDF, OWL, JSON-LD, EMMO) is an advantage.
What we offer
- The minimum gross annual salary on a full-time basis (38,5 h / week) according to the collective agreement is EUR 56.784,--.
- The actual salary will be determined individually, based on your qualifications and experience.
- In addition, we offer company benefits, flexible working conditions, individual training and career opportunities.
- Highlights of our employee benefits include a canteen and meal allowance, organic coffee, tea and fruit baskets, preventive healthcare benefits and company doctor, pension fund, additional days off for various life events, family benefits (including two weeks of paid paternity leave “Papa-Weeks” and leisure subsidies), voucher programme, sports, cultural and socialising events and many more, as well as flexitime models (incl. up to 50% home office), travel support for conferences and networking, and individual training and career development opportunities.
- At AIT, we create an inclusive and family-friendly working environment that promotes equal opportunities and actively strengthens diversity across our workforce and in leadership positions.
- Among other initiatives, we are committed to increasing the proportion of women in our company and therefore particularly welcome applications from female applicants.
Benefits
Higher take-home pay
Topics you will work on
Job locations
About your employer
Neukirchen An Der Enknach, Klagenfurt, Graz, Hall In Tirol, Dornbirn, Seibersdorf, Steyr-Gleink, Wien, Braunau Am Inn - Ranshofen, Tulln
The AIT Austrian Institute of Technology is Austria's largest research institute and is considered a specialist in central infrastructure issues for the future, Europe-wide.
- 250+ Employees
- 2007
- German, English
- Established Company
- Hybrid, Onsite
- Science, Research
Employer reviews
- Career growth
- 3.7
- Team culture
- 4.1
- Working conditions
- 3.7
- Engineering
- 3.6
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