Postdoctoral Researcher in Data Science for Wood Technology

Postdoctoral Researcher in Data Science for Wood Technology

Empa - Swiss Federal Laboratories for Materials Science and Technology

Dübendorf, Switzerland

We are seeking a highly motivated postdoctoral researcher to develop and apply machine‑learning and data‑science methods, with a focus on computer vision, to enhance wood utilization.

Your tasks

• Develop machine learning models and computer vision algorithms for wood property analysis, sorting, and grading.
• Contribute to the TIMBERHAUS project by applying advanced image processing and AI methods for timber quality assessment.
• Integrate experimental data with computational models and collaborate closely with lab teams.
• Publish research findings, present at conferences, and support PhD students.
• Help shape new research proposals and assist in securing funding.

Your profile

• PhD in Computer Science, Data Science, Machine Learning, or a related discipline.
• Proven experience in computer vision (e.g. image processing, deep learning, object detection, segmentation) and machine learning techniques.
• Programming skills in Python and relevant ML frameworks (TensorFlow, PyTorch), experience with version control systems (e.g., Git).
• Strong publication record in reputable journals and conferences.
• Interest in wood technology or biomaterials is a plus.
• Excellent communication skills in English; proficiency in German is beneficial.