Research Associate in Deep Learning

Technical University of Munich


Research associate (m/w/d) in the area of Deep Learning

07.06.2021, Wissenschaftliches Personal

The Chair of Remote Sensing Technology is looking for a Research associate (m/w/d) in the area of Deep Learning with immediate effect.

xxbout us The Technical University of Munich (TUM) is committed to excellence in research and teaching, interdisciplinary education, and the active promotion of promising young scientists. TUM also forges strong links with companies and scientific institutions across the world and regularly ranks among the best European universities in international rankings. The newly founded Faculty of Aerospace and Geodesy plays a central role within the high-tech agenda of the Bavarian State Government and will address current issues of urban mobility, digitization, and environmental protection and advance them with modern, strongly international, and interdisciplinary approaches in research and teaching. In cooperation with established industrial and research institutions, an internationally competitive "Space Valley" is to be created in the Munich Metropolitan Region. Requirements • excellently-qualified graduates with a diploma or master's degree in computer science, electrical engineering, data science, geoinformatics, statistics, mathematics, physics or comparable fields • in-depth methodological knowledge in the field of machine learning, preferably experiences in the area of Transfer Learning and Meta Learning, • interest in working with multi-modal, multi-scalar and multi-temporal Earth observation data • practical experience with software development in Python and common deep learning frameworks and libraries • analytical thinking, independent and structured work, as well as willingness to cooperate with other team members • good English language skills Tasks You will take over research and development tasks in the BMWI-funded project "PreTrainAppEO" in cooperation with dida Datenschmiede GmbH, located in Berlin. We offer • full-time position (100%) with remuneration according to TV-L up to E13 for initially 24 months duration (with indented further extension) • opportunity and support to pursue a doctoral degree at one of the most renowned universities in Europe with international exchange and direct practical relevance through cooperation with partners • a dynamic working environment in a young, research-interested, and curiosity-driven team Application

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