The University of Chicago's Institute for the Study of Ancient Cultures (ISAC) is seeking to transform how archaeology and historical researchers use archival satellite imagery and geospatial data for knowledge production on human-environment history by developing an open-source workflow and toolkit for AI-assisted remote sensing.
Requirements
- Experience in open-source development.
- Knowledge of cloud architectures and infrastructures (OpenStack, Kubernetes, etc.), and familiarity with HPC environments.
- Experience with geospatial libraries (GDAL/OGR, OTB, GeoPandas, PySTAC, etc.) and machine learning frameworks(Scikit Learn, Keras/TF, PyTorch, etc.).
- Background in remote sensing, geospatial AI, familiarity with the following libraries: OTB/OTBTF or an equivalent geospatial processing framework, Keras/Tensorflow or an equivalent deep learning framework.
- Background or experience as a computer engineer, including the development and production of applications and software solutions.
- Experience in data science programming (mainly Python) and core libraries (Numpy, Pandas, etc.).
- Experience with the entire software development cycle, the implementation IDEs, code versioning (Git), and package/container management (Docker, Singularity, etc.).
Responsibilities
- Set up and configure geospatial AI/MLOps pipelines using existing libraries and frameworks, ensuring reproducibility and smooth deployment.
- Build and manage the infrastructure ecosystem (cloud and/or on-prem) to support geospatial remote sensing data processing.
- Implement and maintain remote sensing workflows, including data handling, processing, and basic results visualization and monitoring with standard open source tools.
- Maintain excellent documentation to ensure reproducibility of workflows.
- Evaluates past and present technologies to help develop new tools.
- Ensures all the new tools have been through quality control reviews.
- Participates in the product development life cycle, providing professional assistance to the design of front-end applications and database systems back-end schema.
Other
- Effectively collaborate in a cross-disciplinary environment with archaeologists, geographers, historians, data scientists and computational engineers.
- Minimum requirements include a college or university degree in related field.
- Minimum requirements include knowledge and skills developed through 2-5 years of work experience in a related job discipline.
- Work occurs in a hybrid environment with time split across offices, labs, and digital platforms.
- Occasional lifting of materials (up to 30 lbs) and participation in outreach or instructional events may be required.
