Research Data Manager (m/f/x)
Technische Universität Dresden Dresden
Vacancy ID 11741
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TUD Dresden University of Technology, as a University of Excellence, is one of the leading and most dynamic research institutions in the country. Founded in 1828, today it is a globally oriented, regionally anchored top university as it focuses on the grand challenges of the 21st century.It develops innovative solutions for the world's most pressing issues. In research and academic programs, the university unites the natural and engineering sciences with the humanities, social sciences and medicine. This wide range of disciplines is a special feature, facilitating interdisciplinarity and transfer of science to society.
As a modern employer, it offers attractive working conditions to all employees in teaching, research, technology and administration. The goal is to promote and develop their individual abilities while empowering everyone to reach their full potential.
TUD embodies a university culture that is characterized by cosmopolitanism, mutual appreciation, thriving innovation and active participation. For TUD diversity is an essential feature and a quality criterion of an excellent university. Accordingly, we welcome all applicants who would like to commit themselves, their achievements and productivity to the success of the whole institution.
The Cluster of Excellence “Physics of Life” (Po L) offers, subject to the availability of resources, a position as
Research Data Manager (m/f/x)
(subject to personal qualification employees are remunerated according to salary group E 13 TV-L)
starting as soon as possible. The position is limited until December 31, 2027. The period of employment is governed by the Fixed Term Research Contracts Act (Wissenschaftszeitvertragsgesetz – Wiss Zeit VG). The position offers the chance to obtain further academic qualification (usually Ph D).
Tasks:
- development and implementation of strategies for the management of research data, including sharing and archiving of large experimental datasets, numerical codes, etc.
- development and implementation of data and metadata standards, as well as the creation of data libraries, data management protocols and plans, in cooperation with the researchers at Po L and consortia such as the NFDI4Bio Image
- development of measures for quality assurance, reporting and documentation of data, data analysis tools and processes, such as onboarding, training, and maintenance for the implementation of electronic lab notebooks
- ensuring compliance of data policies with regulations of third-party funding bodies with regard to FAIR principles, for the best possible integration of the Cluster of Excellence into the international open science community
- fostering and maintaining interfaces to research data infrastructures and service facilities within and outside the Cluster of Excellence
- identification and collection of available data sets and the development of new analysis techniques as well as the conception and application of data analysis tools to solve specific scientific questions in direct, scientific cooperation with the researchers involved in the cluster
- training and advising researchers on the principles, methodology and standards of research data management and giving project-related advice in all phases of the data life cycle, from research to archiving
Requirements:
- university degree in computer science, physics, mathematics or a comparable subject
- at least 3 years of professional experience in research data management, research software management or in the field of big data
- knowledge of relevant tools and relevant programming languages
- knowledge of in the field of biophysics and bioimage analysis are beneficial
- strong communication skills in German and English
- excellent organizational skills
- Experience in an interdisciplinary environment, project management and IT administration are desired.
We offer the opportunity to work on novel approaches to data science, combined with the possibility to develop your academic or professional career.
TUD strives to employ more women in academia and research. We therefore expressly encourage women to apply. The University is a certified family-friendly university and offers a Dual Career Service. We welcome applications from candidates with disabilities.If multiple candidates prove to be equally qualified, those with disabilities or with equivalent status pursuant to the German Social Code IX (SGB IX) will receive priority for employment.
Please submit your detailed application by November 18, 2024 (stamped arrival date or the time stamp on the email server of TUD applies), preferably via the TUD Secure Mail Portal https://securemail.tu-dresden.de by sending it as a single pdf file with the subject line ‘Research Data Manager’ to recruiting.pol@tu-dresden.de or to: TU Dresden, Po L, Herrn Prof. Otger Campàs, Arnoldstr. 18, 01307 Dresden, Germany. Please submit copies only, as your application will not be returned to you.Expenses incurred in attending interviews cannot be reimbursed.
Reference to data protection: Your data protection rights, the purpose for which your data will be processed, as well as further information about data protection is available to you on the website: https://tu-dresden.de/karriere/datenschutzhinweis.
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