Adel Daoud writes:

I’m writing to ask for your help circulating a PhD opening in my group at Chalmers, the AI and Global Development Lab (www.aidevlab.org). The position is in Earth Observation, Data Science, and AI for poverty estimation, the Data Science and AI division (Department of Computer Science and Engineering). We are looking for candidates with a strong grounding in data science, computer science, deep learning, statistics, or similar— remote sensing experience and causal inference are welcome bonus.

Ad and application portal: https://www.chalmers.se/en/about-chalmers/work-with-us/vacancies/?rmpage=job&rmjob=14818&rmlang=UK
Deadline: 20 June 2026.

Here’s the description of their center:

The AI & Global Development Lab fuses AI with Earth Observation to illuminate the causes and consequences of human development across time and space.

Our interdisciplinary team, comprising data scientists, computer scientists, and social scientists, develops methods to better understand the multi-scale dynamics of pressing global issues, including poverty, conflict, sustainability, and the effectiveness of policy interventions.

By analyzing satellite imagery from 1984 to the present, AI search agent swarms for large-scale knowledge discovery, and other planetary-scale sources, we are reconstructing historical and geographical development trajectories at a level of detail never before possible, working to offer new insights into the changing face of development worldwide.

We also invite you to visit PlanetaryCausalInference.org for more information about the causal arm of our project.

They call it “Planetary causal inference,” which seems to fit the themes of this blog.