Research Associate (m/f/d) - Reference Data in Materials Science and Engineering

### Your responsibilities include

As part of the NFDI-MatWerk consortium, we collaborate with around 30 universities and research institutions throughout Germany to drive the digital transformation of materials science and engineering. By developing software tools, digital infrastructure concepts, and knowledge graphs, we are building a data ecosystem that enables complex relationships within materials data to be captured, effectively utilized, and leveraged to generate new insights for research and innovation.

• Management of the Reference Data subproject
• Development of best-practice examples for the collection, structuring, and provision of high-quality, comprehensively documented reference and research datasets for materials mechanics experiments (e.g., hardness testing, fatigue testing, etc.)
• Identification of required metadata for reference datasets
• Provision of reference datasets in repositories
• Definition of quality classes and guidelines for ensuring data quality and auditing datasets, as well as communicating these standards to the scientific community
• Development of guidelines for the definition, documentation, and monitoring of workflows as a basis for appropriate data curation
• Supporting the rollout of new concepts and methods, as well as their targeted communication and implementation among users in materials science and engineering
• Publication of results in peer-reviewed scientific journals and presentation at national and international conferences

### Your qualifications

• A successfully completed master’s or diploma degree in Materials Science, Materials Engineering or a comparable field with PhD
• Solid knowledge in the field of materials mechanical testing and of materials engineering and materials science processes in metallic materials
• Experience in (research) data management and database systems within the fields of Materials Science and Materials Engineering
• Knowledge of ontological concepts and semantic data structuring is advantageous; programming and data analysis skills (e.g., Python, SQL) are also beneficial
• Proven successful collaboration with other research groups or industrial partners, for example within publicly funded research projects
• Initial experience in project management
• Proven track record of publications in peer-reviewed scientific journals
• Fluent German and English language skills, both written and spoken
• Good communication and information behaviour, initiative/commitment and ability to make decisions, ability to work in a team and willingness to cooperate, flexibility

### Unsere Benefits

• Comprehensive and interdisciplinary training and further education opportunities
• A diversity-oriented work environment that actively promotes equal opportunity, where different perspectives are valued and individual potential is nurtured
• Flexible working hours
• Work in national and international networks with universities, research institutions, and industrial companies
• Possibility of mobile working
• Attractive and modern working environment with excellent infrastructure and state-of-the-art scientific equipment
• Work-life balance

### Your application

We welcome applications via the online application form by . Alternatively, you can also send your application by post, quoting the Job-ID to:

Bundesanstalt für Materialforschung und -prüfung

Referat Z.3 - Personal

Unter den Eichen 87

12205 Berlin

GERMANY

BAM promotes professional equality between women and men. We therefore particularly welcome applications from women. At the same time, we strive to reflect social diversity. Every application is therefore welcome, regardless of gender, cultural or social background, religion, ideology or identity.

In addition, BAM has set itself the goal of promoting the professional participation of people with severe disabilities. The fulfillment of the job requirements is considered on an individual basis. Severely disabled persons or persons of equal status will be given preferential consideration if they are equally qualified.

The advertised position requires a low level of physical aptitude.

### Dr.-Ing. Skrotzki

Unter den Eichen

12205 Berlin

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Quelle: Statistisches Bundesamt (Destatis), Tabelle; dl-de/by-2-0; eigene Berechnung