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Student Worker IV
About Intuitive Machines
Intuitive Machines is an innovative and cutting-edge space company making cislunar space accessible to both public and private customers. Our mission is to further science and exploration, communications, and economic progress from the Earth to the Moon and beyond. With the first commercial lunar landing in history, multiple NASA lunar missions in development, and additional private missions on our manifest, we pride ourselves in supporting our customers and the nation in paving the way to return humans to the surface of the Moon. Our world-class team includes experts in all aspects of spacecraft subsystems design, development, and test, on-orbit operations, and safety.
Responsibilities:
- Assist in the processing and analysis of lunar images captured by the LROC.
- Develop and maintain scripts and tools for automating data processing tasks.
- Collaborate with team members to identify and resolve issues in image data.
- Support the creation and updating of lunar surface mosaics and maps.
- Participate in the calibration and validation of LROC instruments and data products.
- Provide operational support during data acquisition periods.
- Contribute to the preparation of scientific presentations and reports.
Qualifications:
- Enrollment as a student at Arizona State University.
- Strong interest in lunar science, planetary science, or a related field.
- Experience with programming languages such as Python, C++, or MATLAB.
- Basic knowledge of image processing techniques.
- Excellent problem-solving skills and attention to detail.
- Ability to work independently and as part of a team.
- Good written and verbal communication skills.
- Experience with GIS (Geographic Information Systems) software.
- Background in astronomy, physics, or engineering.
- Previous experience in a research or laboratory setting.
- Familiarity with data visualization tools and techniques.
US EEO Statement
Intuitive Machines is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law.
