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Novo Nordisk Foundation Featured PhD Programmes
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Data Analysis (hyperspectral) PhD Projects, Programs & Scholarships

We have 8 Data Analysis (hyperspectral) PhD Projects, Programs & Scholarships

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We have 8 Data Analysis (hyperspectral) PhD Projects, Programs & Scholarships

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Using raw satellite imagery to detect early fire smokes for onboard applications

Are you interested in machine learning, artificial intelligence and remote sensing? The University of South Australia – Australia’s University of Enterprise – is offering an outstanding opportunity to apply for a PhD project within the Data Analytics Group in partnership with. Read more

Improving the acquisition and processing of single-photon data (EPS2022/57)

Recent technological innovations, eg detection and acquisition hardware, have pushed sparse-photon imaging to the fore in a variety of applications including 3D Lidar imaging and microscopy.  3D Lidar imaging consists in sending laser pulses to a target and capturing the returned photons after reflection from the target. Read more

Robust and Scalable Computational Methods for Extreme Imaging. (EPS2022/56)

Recent technological innovations, eg detection and acquisition hardware, have pushed sparse-photon imaging to the fore in a variety of applications including 3D Lidar imaging and microscopy.  3D Lidar imaging consists in sending laser pulses to a target and capturing the returned photons after reflection from the target. Read more

Detection and tracking of transient phenomena from heterogenous data and data-driven methods (EPS2022/54)

While Bayesian filters are massively used for object detection and tracking, the development of data-driven approaches has recently shown that traditional tracking algorithms can benefit from pre-trained artificial neural networks (ANNs) in terms of computational complexity and/or prediction accuracy. Read more

Drone-based forest biomass and soil analysis using machine learning techniques

Continuous monitoring of forests is possible—up to a point—using remote sensing from satellites, but satellite-based technologies typically cannot pierce the canopy cover to get more details about factors such as soil health and understory complexity. Read more
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