PhD Position in Machine Learning for Very Long Baseline Interferometry | |
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Workplace | Zurich, Zurich region, Switzerland |
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Position | |
PhD Position in Machine Learning for Very Long Baseline Interferometry 100%, Zurich, fixed-termThe Chair of Space Geodesy invites applications for an exciting PhD opportunity focused on advancing Very Long Baseline Interferometry (VLBI) research. VLBI is undergoing transformative advancements due to the global rollout of the VLBI Global Observing System (VGOS) and the upcoming Genesis satellite mission by the European Space Agency (ESA). These advancements present unprecedented opportunities to revolutionize data analysis and simulation methodologies in the field. Job descriptionThe selected PhD candidate will join an innovative research team to explore cutting-edge techniques in VLBI.
In addition to research responsibilities, the candidate will contribute to teaching activities and the supervision of student projects. ProfileRequired Qualifications:
Preferred Qualifications (Not Mandatory):
WorkplaceWe offer
The position is set to begin as soon as possible. Working, teaching and research at ETH Zurich We value diversityIn line with our values , ETH Zurich encourages an inclusive culture. We promote equality of opportunity, value diversity and nurture a working and learning environment in which the rights and dignity of all our staff and students are respected. Visit our Equal Opportunities and Diversity website to find out how we ensure a fair and open environment that allows everyone to grow and flourish. Curious? So are we.We look forward to receiving your online application with the following documents:
Application deadline: until the position is filled. Please note that we exclusively accept complete applications submitted through our online application portal. Incomplete applications or applications via email or postal services will not be considered. Further information about the Chair of Space Geodesy can be found on our website . Questions regarding the position should be directed to Benedikt Soja at sojaethz.ch (no applications). Apply online now
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In your application, please refer to myScience.ch and reference JobID 65880. |
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