22 earth-sciences positions at University of Twente in Netherlands

PhD Candidate New thermal-infrared satellite missions for water, food, and climate

-Information Science and Earth Observation (ITC) provides international postgraduate education, research and project services in the field of geo-information science and earth observation. Our mission is capacity

PhD Candidate “PhD position in Remote Sensing of Aquatic Biophysics”

layers and at the air-water interface. The proposed research stands for the innovative integration of Earth Observation with biophysical models. The use of data science could be an asset but is not

PhD Candidate SHAWave project: Seismic Hazard Assessment for Future Subsurface Activities

the Netherlands for which no earthquakes have been recorded yet. Your project will be embedded in the Applied Earth Sciences department at the Faculty for Geo-Information Science and Earth Observation

Researcher (Postdoc) Deep learning for geophysical observables extraction and inversion: Toward characterizing the Dutch subsurface

geophysics/computational geodynamics team of PhD students and post-doctoral fellows. Your project will be embedded in the Applied Earth Sciences department at the Faculty for Geo-Information Science and Earth

PhD Position on Software Security

performing top-level research on real-world data, systems, and network security challenges. To achieve significant societal impact, TUCCR combines technical, socio-economic, and ethical know-how and is

Assistant Professor in Public Administration

& Technology, the MSc Public Administration and MSc European Studies programs. You will also supervise bachelor, master and PhD theses. What are you going to do? You are expected to: develop your research

PhD Candidate DeepNL project: Numerical modelling and geophysical inversion for characterization of the Dutch subsurface

department The department of Applied Earth Sciences combines earth scientific knowledge with dynamic modelling and advanced remote sensing, to analyse earth systems and processes in space and time. Our goal is

EngD position: SenseHeat Plug-and-play measurement kit to facilitate crowdsourcing of urban temperature data

ambition: to create a scalable, citizen-generated data ecosystem. By miniaturising our technology into an integrated, embedded, plug-and-play unit, we can expand its application to various urban

Postdoc position on Scalable Energy-Efficient Deep Learning

learning models that are not only powerful but also energy-efficient. This position offers the unique opportunity to contribute to high-impact projects, collaborate with world-renowned experts in the field

PhD position on Calibration in Deep Learning for Zero Downtime in Cyber-Physical Systems

have overconfident and underconfident predictions. Deploying uncalibrated models in real-world systems poses substantial risks, particularly in safety-critical contexts like monitoring critical