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Staff Scientist in Atmospheric Optical Remote Sensing

Chalmers Tekniska Högskola Aktiebolag

Suecia📅 7/10/2026

Descripción

OChalmers University of Technology strives for academic excellence while addressing the challenges and needs of society and industry. We offer a creative and dynamic environment for research, education, innovation, and applied science. We are now looking for a Staff Scientist to join our team and help strengthen our ongoing research. About the role As a Staff Scientist, you will become part of a professional research environment where your specialist competence contributes to the quality and continuity of ongoing scientific work. In this role, you are expected to support research activities with your expertise and to work closely with colleagues and research leaders to help maintain and support the development of the research environment. The position focuses on the operation, development, and scientific exploitation of atmospheric remote-sensing research infrastructures within the division, with a central focus on the long-term operation of the high-resolution solar FTIR stations at Harestua (Norway) and Onsala (Sweden). Another aspect of the position is also to contribute to the continuity and further development of the research infrastructure, including the division's research computing environment and collaboration with national and international partners. About the division and department https://www.chalmers.se/en/departments/env / consists of five research divisions, with the common goal of providing excellent research that can enable solutions for transition to a sustainable society. The department offers a dynamic and inspiring academic environment, and well-developed networks with industry and relevant public stakeholders at national, international and global levels. https://www.chalmers.se/en/departments/env/research/geo / conducts research, education, and utilization within a wide range of scientific and engineering disciplines, including ground-based, airborne and satellite measurements, as well as numerical modeling and data analysis of various climate
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