Data Scientist / Postdoc im Kompetenzzentrum KIForst(w/m/d)
Core
Building a faculty-wide infrastructure for AI applications in forestry sciences, translating research questions into ML solutions, and enabling researchers to use AI methods.
Role type
Postdoc / Data Scientist (Research & Infrastructure)
Builds
Faculty-wide AI infrastructure, reproducible learning materials, and a 'KI-Clinic' for methodological support.
Domain
Forestry Sciences + Machine Learning / Deep Learning
Deliverable
production ML models | research | client delivery
Required skills
Machine Learning, Deep Learning, Explainable AI (XAI), Python, complex/spatial data processing, scientific communication, teaching
Preferred skills
HPC/Cloud computing, Computer Vision, Databases, GIS, Geodata processing
Technologies
Python, PyTorch
Responsibilities
Translate forestry research questions into Data Science/KI approaches; develop and implement ML/Deep Learning/CV solutions with a focus on explainability; support research groups in method selection, study design, and data preparation; design and deliver teaching contributions, workshops, and training materials; contribute to grant applications and publications.
Seniority
Postdoc, research & mentorship