Job
- Level
- Experienced
- Location
- Aachen
- Working Model
- Onsite
- Job Field
- Data
- Employment Type
- Full Time
- Contract Type
- Temporary employment
Job Summary
In this role, you analyze materials science research data and develop concepts for integrating them into digital infrastructures to ensure data reusability and interoperability.
Job Technologies
Your role in the team
- Your work is primarily scientific in nature and involves addressing materials science questions in the fields of research data management, data interoperability, and digital research infrastructures.
- The focus is on how experimental, analytical, and simulation-based data from materials science can be collected, described, and linked in a way that makes them traceable, quality-assured, machine-readable, and scientifically reusable.
- They investigate and develop concepts for connecting electronic laboratory notebooks and laboratory information systems to the data and metadata infrastructure of NFDI-MatWerk.
- In particular, you will work on interfaces to ELN-/LIMS systems such as openBIS and examine how materials science research data from laboratory, analysis, and simulation environments can be structured, imported, and made usable for scientific workflows, as well as transferred into central storage infrastructures.
- A particular focus is on the scientific and methodological development of interoperable exchange formats.
- They are testing and evaluating RO-Crate as a connecting format between electronic lab notebooks, workflows, metadata models, and FAIR digital object concepts.
- There, you analyze which information from materials science experiments and processes is needed to make data understandable, verifiable, and reusable in the long term.
- They develop prototype reference applications and demonstrators in selected Infrastructure Use Cases of NFDI-MatWerk based on openBIS, eLabFTW, and Coscine.
- In close collaboration with materials science research groups, you gather specific requirements from scientific practice, analyze them, and jointly with the technical Task Areas, develop robust, reusable, and technically appropriate solutions.
- Furthermore, you will contribute to the scientific evaluation and further development of data and metadata models.
- They support the structured description of materials science processes, samples, measurements, and workflows, and contribute to translating domain-specific requirements of materials science into interoperable data structures.
- You contribute your results to the scientific community, for example through contributions to workshops, seasonal schools, training formats, project meetings, or suitable publication and presentation formats.
- Thereby, you convey to researchers the practical application of electronic lab notebooks, metadata standards, and FAIR-oriented workflows, and support the transfer of new findings into materials science research practice.
- With your work, you significantly contribute to advancing the digital transformation of materials science and engineering research and lay the foundation for a sustainable, interoperable, and FAIR-oriented research data infrastructure.
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Our expectations of you
Education
- You hold a completed university degree (Master's or equivalent), preferably in Materials Science, Materials Engineering, or a closely related natural or engineering science field.
Qualifications
- You have a solid understanding of materials science research processes and can confidently immerse yourself in experimental, analytical, or simulation-based workflows.
- You are interested in how materials science research data can be structured, described, linked, and prepared for later scientific reuse.
- You enjoy analyzing scientific requirements from materials science research and developing viable technical and methodological concepts based on them.
- Terms such as RO-Crate, FAIR Digital Objects, JSON, RDF, Ontologies, or semantic technologies do not deter you but rather pique your interest in engaging with modern research data infrastructures and shaping them scientifically.
- You communicate confidently in English, both in writing and orally.
- Good German language skills are highly advantageous, especially for collaborating with local research groups, conducting workshops, and coordinating within the German-speaking materials science community.
- An independent, structured, and solution-oriented work approach, as well as the willingness to collaborate across disciplines with researchers, Data Stewards, software developers, and other project partners, complete your profile.
Experience
- Ideally, you already have experience in research data management, FAIR principles, metadata, data quality, or interoperable research data infrastructures.
- Experience with electronic laboratory notebooks or Laboratory Information Management Systems (LIMS), such as openBIS, eLabFTW, or comparable ELN/LIMS systems, is advantageous.
- Practical programming skills, especially in Python, as well as experience with structured data formats, interfaces, data conversion, or automated data workflows, are equally valuable.
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What we offer
- The employment is based on an employment relationship.
- The position is to be filled as soon as possible and is limited until December 31, 2028.
- The fixed-term employment is carried out within the scope of the fixed-term possibilities of the Wissenschaftszeitvertragsgesetz (Science Time Contract Act).
- This is a full-time position.
- The classification is based on the TV-L.
- The position is classified as EG 13 TV-L.
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Benefits
Work-Life-Integration
Health, Fitness & Fun
Topics You Will Work On
Job Locations
About Your Employer
RWTH Aachen
The TIM institute for technology and innovation management (TIM) under the leadership of Professor Dr. David Antons, Prof. Dr. Frank Piller and Prof. Dr. Oliver Salge is a leading institution in research fields such as innovation and technology management and strategy. Currently, an interdisciplinary team of researchers from the fields of business economics, psychology, computer science and engineering is teaching and researching at the TIM institute in close cooperation with the engineering institutes of RWTH Aachen University.
Description
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Science, Research
Research Associate - Data Engineer
- Location
- Aachen
- Working Model
- Onsite
- Diversity
- Open for all genders
