Humboldt-Universität zu Berlin - Statistics

Humboldt-Universität zu Berlin | School of Business and Economics | Statistics | News | Scientific coordinator (m/f/d) with expected half-time employment - E 13 TV-L HU (third party funding, limited for 3 years)

Scientific coordinator (m/f/d) with expected half-time employment - E 13 TV-L HU (third party funding, limited for 3 years)



Reference number:  DR/119/22
Location: School of Business and Economics, Chair of Statistics, Spandauer Strasse 1, 10178 Berlin, Germany 
Application deadline: Until 11th November 22
The Chair of Statistics at Humboldt-Universität zu Berlin is looking for a scientific coordinator for the recently established interdisciplinary research unit FOR 5363 "DeSBi - Fusing Deep Learning and Statistics towards Understanding Structured Biomedical Data". The first funding period runs from 01/2023 to 12/2026; an extension will be sought.
 
DeSBi
 
The research unit is funded as one of eight in the German Research Foundation's (DFG) AI call. It offers a special research environment at the interface between statistics, machine learning and biomedical applications. In the research group, experts from the field of machine learning and statistics with experience in biomedical applications work together to improve interpretability, uncertainty quantification and statistical inference for Deep Learning and to increase the flexibility of statistical models for structured data. The methods are being developed in close feedback with biomedical applications that collect structured data such as images, gene sequences or time series in high-frequency measurements and require not only good predictions but also uncertainty quantification, adjustment for confounding variables and tests of hypotheses with statistical error control, thus integrating Deep Learning and statistical methods. DeSBi is a joint project of researchers from HU Berlin, TU Berlin, Charité, University of Potsdam, Hasso Plattner Institute, Max Delbrück Center for Molecular Medicine and Fraunhofer Heinrich Hertz Institute.
 
Job description:
 
  • organisation and preparation of scientific events and retreats
  • public relations
  • preparation of scientific reports and renewal applications
  • coordination of the visiting programme and visits of FOR member
  • independent advice and support of members of the research group
  • networking with other research projects
  • setting up and running the unit’s office including support of the spokesperson in all complex administrative and financial matters 
We offer integration into a lively and interdisciplinary team, family-friendly working hours, an excellent research environment and the opportunity to help shape the development of an increasingly important field of research. We support career development through opportunities for further training and mentoring, as well as the chance to get a taste of many organisations and other projects of DeSBi researchers.
 
Requirements:
 
  • Completed scientific university degree at Master's level or higher; doctorate advantageous, e. g. in the field of (bio)informatics, (bio)statistics, data science, mathematics or a related field or equivalent knowledge
  • experience in science management with several years of professional practice
  • experience in project management, especially in interdisciplinary and inter-organisational projects
  • experience with scientific conceptual and organisational tasks
  • very good knowledge of English, both written and spoken
  • confident command of the German language
  • independent, service- and solution-oriented way of working
  • organisational, communication and team skills
  • common IT skills
  • knowledge of project and science management and experience in third-party funding management through e. g. coordination and participation in interdisciplinary research networks as well as experience in research in interdisciplinary teams are desireable
  • experience in intercultural as well as social competence as well as knowledge of DFG guidelines are an advantage
 
Application to
 
Please send applications (with cover letter, curriculum vitae and relevant certificates) by email as a PDF file (no larger than 10 MB) to the FOR spokesperson, stating the reference number DR/119/22 and the subject "Application coordination FOR" Prof. Dr. Sonja Greven at stat@hu-berlin.de. Further questions can also be directed to them.
 
To ensure equal opportunities, applications from qualified women are particularly welcome. Severely disabled applicants with equivalent qualifications will be given preferential consideration. People with an immigration background are specifically encouraged to apply.
 
Please visit our website www.hu-berlin.de/stellenangebote, which gives you access to the legally binding German version.