A) Hardware B) Assembly C) Calibration D) Installation E) Deployment and Engagement
The Urban Innovation group at Microsoft Research pursues state of the art science and technology development for urbanization. Lines of research focus on climate adaptation, health equity and environmental justice, ensuring equitable economic growth, and building strong, healthy communities.
The team recently deployed the Eclipse network, a city-scale IoT network for low-cost air quality monitoring. A particular priority area is the incorporation of remote sensing data. We are thus particularly interested in candidates with experience in remote sensing or cross-training satellite-based models with ground-level measurement.
Must be currently enrolled in a PhD program in Computer Science or a related STEM field, a quantitative social science field (including urban planning), a quantitative public health field such as epidemiology or biostatistics, or environmental or atmospheric science.
Preferred Qualifications
- Experience with remote sensing data and analytics
- R or Python proficiency
- Experience with low-cost sensors and/or established interest in air pollution research
- Demonstrated ability to develop original research agendas
- Must be able to collaborate effectively with other researchers
- Excellent interpersonal skills, cross-group, and cross-culture collaboration
- Ability to think unconventionally to derive creative and innovative solutions