The UFZ
The Helmholtz Centre for Environmental Research (UFZ) is a world-leading
institution in environmental research and a member of the Helmholtz
Association, Germany's largest scientific organisation. With approximately
1,200 employees across Leipzig, Halle, and Magdeburg, we have been conducting
research since 1991 using a transdisciplinary approach to address the most
pressing challenges of our time: biodiversity loss, climate change, and
environmental pollution. Our goal is to translate excellent research into
practical solutions for policymakers, business, and society, and to serve as a
reliable partner in supporting transformation processes toward a sustainable
and just future for current and future generations. We foster a culture of
collaboration, openness, and diversity within a work environment that actively
promotes creativity and personal development.
The job
We are seeking a scientist (f/m/x) to curate a comprehensive collection of
annotated X-ray CT images for deep-learning-based segmentation of soil
microstructure within a DFG-funded project. The project aims to bring together
a network of experts to jointly build a large dataset of annotated soil
microstructure for training AI-based segmentation models and to publish the
datasets and models according to FAIR and CARE principles. The scientist will
be supported by the Research Data Management team of the UFZ.
Your tasks
Plan, organize, and conduct workshops for need analysis, tutoring image
annotations and tutoring semantic image segmentation
Communication with data owners
Soil sampling and annotation of underrepresented soils
Development of learning material and documentation
Quality control of training data and segmentation model results
Publish data and models in online repositories by FAIR & CARE principles
together with the RDM team
Publish and present project results in scientific journals, at project
meetings and conferences
Provide scientific guidance and support to interns, PhD students, research
assistants, and other staff members
We offer
The freedom to master even the most demanding challenges between basic
research and practical application
The chance to work in interdisciplinary, international teams and benefit
from a variety of perspectives
Firstclass integration into national and international research networks
to work together on global challenges
Excellent research infrastructure and research data management to
optimally support your work
Flexible working hours and a wide range of options for balancing work and
care responsibilities through our family office
Competent support and advice for international colleagues arriving at the
UFZ from the 'International Office'
Special annual payment, capital-forming benefits and subsidised Germany
Job Ticket
A workplace in a vibrant region with a high life quality and social and
cultural diversity
Your profile
University degree in environmental science, agriculture, image processing
or related subjects
Sound knowledge of soil science
Knowledge and experience in the interpretation of scientific results
Experience with X-ray CT and image processing
Proficiency in Python Coding
Excellent oral and written communication skills (German and English)
Ability to work independently and as part of a team
