Postdoc position in the field of machine learning for wood grading
Empa - the place where innovation starts
Empa is the research institute for materials science and technology of the ETH Domain and conducts cutting-edge research for the benefit of industry and the well-being of society
To tackle these challenging objectives, we are seeking for a highly motivated, creative and communicative personality that can bridge expertise between data science and wood technology. Required qualifications include a PhD degree in computer science, data science or related field with a strong background in machine learning, particularly in deep artificial neural networks. A basic understanding of wood and wood technology is advantageous, but not a requirement. We expect a track record of high-quality scientific publications. Very good communication and writing skills in English are required, good German language skills are beneficial.
You will be working in an international, science oriented team addressing diverse fields of wood science and technology at a research institution in the Zürich area with outstanding infrastructure and within a broadly interdisciplinary setting. The duration of this position is two years. The project will start January 1st 2019.