Data Steward; m​/f​/d Cluster of Excellence Post Lithium Storage; POLiS

Founded in 1607, Justus Liebig University Giessen (JLU) is a research university rich in tradition. Inspired by curiosity about the unknown, we enable around 25,000 students and 5,800 employees to advance science for society. Join us in breaking new ground and writing success stories - your own and those of our university.

Support us at the earliest possible date in full-time as a

Data Steward (m/f/d)
for the Cluster of Excellence Post Lithium Storage (POLiS)

The position is to be filled at the Center for Materials Research within the framework of the Cluster of Excellence Post Lithium Storage and is limited until June 30, 2029. The salary is in accordance with the collective labor agreement of the State of Hessen (E 13 TV-H).

• Development and implementation of FAIR-compliant data solutions and strategic concepts for the archiving, exchange, and analysis of research data from experimental and theoretical battery research
• Conception, implementation, and continuous further development of structures for quality assurance and documentation of research data, software tools, and scientific workflows
• Participation in the development and establishment of ontologies, metadata standards, and data models within the research data platform Kadi4
  
  Mat for the entire battery technology research chain (material description, synthesis, characterization, and modeling)
• Development and application of data analytical methods to address scientific questions in close cooperation with interdisciplinary research groups of the Cluster
• Advising Cluster researchers on research data management and FAIR data, as well as the conception and implementation of training courses and workshops

• A successfully completed university degree (Diploma or Master’s) in Computer Science, Data Science, Materials Science, Physics, Mathematics, or a comparable field, including a completed PhD
• Sound experience in the field of research data management, data science, big data, or data-driven research
• Practical knowledge of programming and scripting languages, particularly Python, as well as experience in handling scientific data analysis tools
• Experience in dealing with metadata standards, ontologies, or data models in research data management is an advantage
• Subject matter expertise in materials science, battery research, or electrochemical energy storage
• Experience in the design, development, or operation of scientific IT and data infrastructures
• Strong communicative and organizational skills, as well as a confident, friendly, and reliable personality
• Very good proficiency in English (written and spoken); knowledge of German is desirable

• A varied job in a dynamic team with flexible working hours
• Free use of local public transport (Landes Ticket Hessen)
• More than 100 training seminars, workshops and e-learning opportunities per year for personal development, as well as a wide range of health and sports activities
• Remuneration according to TV-H, company pension scheme, child allowance and special payments
• Good compatibility of family and career (certificate "audit familiengerechte hochschule")

JLU welcomes qualified applications regardless of biological and social gender, disability, nationality, ethnic and social origin, religion, ideology, age as well as sexual orientation and identity. The JLU aims for a higher proportion of women in accordance with the women's promotion plan. We therefore particularly encourage qualified female candidates to apply. JLU is certified as a family‑friendly university. Applications from disabled people of equal aptitude will be given preference.