About the Position
The Institute for the Study of Ancient Cultures (ISAC) at the University of Chicago invites applications for a one-year funded position as an AI and Geospatial Developer specialising in archaeology, history, and cultural heritage. This hybrid role in Chicago, Illinois offers an exciting opportunity to develop open-source geospatial AI workflows that will transform how researchers analyse historical satellite imagery and environmental data. Working alongside archaeologists, GIS specialists, and remote sensing experts, the selected candidate will contribute to innovative digital research bridging artificial intelligence and heritage science. The project aims to build sustainable, reproducible digital tools for understanding human–environment interactions across time. The position may be extended based on funding availability.
Position Details
- Position: AI and Geospatial Developer for Archaeology and Cultural Heritage
- Institution: University of Chicago
- Department: Institute for the Study of Ancient Cultures (ISAC)
- Research Field: Artificial Intelligence, Geospatial Analysis, Archaeology, Cultural Heritage
- Location: Chicago, USA (Hybrid)
- Number of Posts: 1
- Job Type: Full-time, Fixed-term (12 months, renewable)
- Start Date (Anticipated): 2025
- Working Hours: 37.5 hours per week
- Salary Range: USD 70,000 – 85,000 per annum
- Required Degree/Diploma: Degree
Research Area
- Geospatial AI and Remote Sensing for Archaeology
- Historical Satellite Imagery Analysis
- Digital Heritage and Computational Archaeology
- Machine Learning and Data Science Applications
- Environmental and Cultural Data Modelling
Eligibility & Qualifications
Minimum Requirements:
- Bachelor’s degree in a related field and 2–5 years of relevant experience
- Proven programming experience in Python, including libraries such as NumPy, Pandas, and GeoPandas
- Knowledge of machine learning frameworks (Scikit-learn, TensorFlow, PyTorch) and geospatial tools (GDAL, OTB)
- Experience with Git, Docker, and collaborative code development
Preferred Qualifications:
- Open-source development experience
- Familiarity with cloud architectures (OpenStack, Kubernetes) and HPC environments
- Background in remote sensing, geospatial AI, and data pipeline design
- Understanding of cross-disciplinary collaboration in digital humanities or heritage science
Key Responsibilities
- Design and implement AI/MLOps pipelines for geospatial data
- Manage data infrastructure (cloud/on-prem) for remote sensing applications
- Develop reproducible workflows for processing and visualising historical satellite imagery
- Collaborate with archaeologists, geographers, and data scientists to develop open-source tools
- Maintain clear documentation and ensure quality control for all outputs
Application Process
How to Apply:
Interested candidates should apply via the University of Chicago job portal. All required documents must be uploaded through the My Experience section under Application Documents.
Required Documents:
- Curriculum Vitae (CV)
- Cover Letter
- Three Professional References
Important Dates
- Application Opens: Ongoing
- Deadline: Not specified (Apply as soon as possible)
- Interview Date: To be announced
Useful Links
- Institution Website: University of Chicago
- Official Notification Link: Click here
- Apply Now: click here
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