Space Research Engineer/Scientist Associate (Geodesy & PNT)

University of Texas; United States; On-site; USD 85,000 - 118,000; Full time

Benefits offered by this job

Tuition assistance

LinkedIn Learning access

Library access with staff ID

Job summary

The University of Texas at Austin, Center for Space Research, is seeking researchers at Associate III–V levels to advance geodesy, PNT and related space research. The role supports interdisciplinary collaboration across aerospace and engineering disciplines.

Responsibilities include building data analytics infrastructure, developing geodetic architectures, and communicating results to stakeholders. It requires MS/PhD with relevant aerospace/geodesy experience and strong programming/data analysis

Qualifications

• Recent experience in state of the art in satellite geodesy or geometric geodesy.
• Recent experience with scientific programming and scientific data analysis.

Responsibilities

• Develop and operate the data analytic infrastructure (models, algorithms, software and data systems).
• Help develop the architecture and concept of operations for geodetic infrastructure at MGO, including fieldwork.
• Prepare reports and presentations to communicate results, recommendations, and project status to both technical and non-technical stakeholders.
• Contribute to the maturation of research concepts, grant proposals and journal publications.
• Other related functions as assigned.

Skills

Satellite geodesy

Scientific programming

Data analysis

Education

MS in Aerospace Engineering or related field

PhD in Aerospace Engineering or related fields

Job description

The University of Texas at Austin, Center for Space Research, is seeking researchers at Associate III–V levels to advance geodesy, PNT and related space research. The role supports interdisciplinary collaboration across aerospace and engineering disciplines.

Responsibilities include building data analytics infrastructure, developing geodetic architectures, and communicating results to stakeholders. It requires MS/PhD with relevant aerospace/geodesy experience and strong programming/data analysis