Research Intern — Geospatial Artificial Intelligence

About the Role

We are inviting applications for a research internship aimed at students or early-stage researchers with an interest in geospatial artificial intelligence. This internship offers a chance to collaborate with our research team on projects centered around spatial data analysis, machine learning, and real-time decision-making systems.

Responsibilities

• Conduct literature reviews and assist in designing experiments for current research projects.
• Develop and assess machine learning models tailored to spatial and temporal datasets.
• Manage and analyze geospatial data using Python programming and GIS software tools.
• Contribute actively to open-source research deliverables and scholarly publications.
• Deliver presentations of research findings during regular team meetings.

Requirements

• Enrollment in or recent completion of a postgraduate degree in Geographic Information Systems, Computer Science, Data Science, or similar disciplines.
• Strong programming skills in Python and familiarity with data science libraries such as NumPy, Pandas, and Scikit-learn.
• Understanding of GIS principles and experience working with geographic information systems.
• Excellent analytical abilities combined with effective communication skills.
• Self-driven with the capability to independently manage research assignments.

Preferred Qualifications

• Prior experience working with deep learning frameworks like PyTorch or TensorFlow.
• Record of published academic work or presentations at conferences.
• Knowledge of remote sensing technologies or spatial database management.
• Proficiency in version control systems such as Git and working in collaborative coding environments.

What We Offer

• Flexible arrangements allowing remote or hybrid work schedules.
• Guidance and mentorship from seasoned research professionals.
• Possibilities to co-author research publications.
• Practical experience in operating production-level geospatial systems.
• A nurturing and intellectually engaging workplace culture.