The Space Research and Planetology Division of the University of Bern (UniBe) has a position available for operation and archiving of data for the Colour and Stereo Surface Imaging System (CaSSIS) – an imaging system experiment onboard the European Space Agency’s ExoMars Trace Gas Orbiter (TGO).
The closing date for initial applications is 20 June 2024 although the position will remain open until filled.
Excerpt from https://ohws.prospective.ch/public/v1/jobs/115d8bff-2dd0-4b4c-bb8d-c6d6ad03873a
Please see the link above for full requirements.
Main duties
The main duties of the successful candidates will be to support the operations of the CaSSIS instrument within an existing team by:
• Analysing the predicted spacecraft orbit and supporting the development of our weekly target acquisition programme in collaboration with scientists
• Iterating proposed solutions with research team members
• Refining and optimising the operational procedure
• Determining and reporting correct execution of the transmitted commands
• Validating science telecommands for uplink to TGO
• Incorporating instrument maintenance commands as required into the instrument timeline
• Support of weekly interface meetings with ESA on TGO planning
• Maintaining and upgrading CaSSIS-internal science planning tools
• Calibrating data returned from the CaSSIS instrument using existing pipelines for analysis by the science team
• Applying appropriate standards for archiving of data from interplanetary spacecraft
• Maintaining wikis and web sites with updated information on the instrument and its operation
• Interfacing with international organizations (e.g. ESAC, USGS, etc.) to ensure the data are compatible with those standards.
Requirements
Essential
• A minimum of an MSc. in an appropriate subject area (geophysics, applied computing, astronomy) although a PhD is desirable.
• Excellent knowledge and experience of numerical coding languages (desirable examples are IDL, MATLAB, Python, Fortran, or equivalent programming tools)
• Experience in processing and manipulating large data sets
• Demonstrated logical and scientifically rigorous approach to work
• Competent in the use of Microsoft Office software (Outlook, Word, Excel, PowerPoint, Visio) or equivalent packages
• Ability to plan and prioritize own workload and deliver outputs in a timely manner
• Ability to communicate and work with colleagues from a wide range of functional backgrounds (e.g. engineering, science, management, technical, non-technical, etc.) as part of a diverse international team
• Flexibility and the willingness to travel regularly.
Please reach out to Nick Thomas for questions on the post → About us: Prof. Dr. Nicolas Thomas - Space Research & Planetary Sciences (WP)