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PhD Studentship - Algae PhDs fellowship UK

 PhD Studentship - Algae        Dr Jonathan Lee ,  Dr Gary Stephen Caldwell  Friday, May 31, 2024  Funded PhD Project (Students Worldwide) About the Project PhD project part of the  CDT in Process Industries: Net Zero . The successful PhD student will be co-supervised by academics from the  Process Intensification Group  at Newcastle University.  Microalgae are playing increasingly prominent roles in wastewater bioremediation, where their well-known ability to absorb metals, nitrogen and phosphorous is used in solar driven processes that clean up the wastewater. A process co-developed by Newcastle University and Northumbrian Water Ltd (NWL) and installed at the Bran Sands treatment works on Teesside, uses an ammonophilic microalga ( Chlorococcum  sp.) originally isolated from Bran Sands to remediate ammonium from the site’s anaerobic digesters. The process is stable, well characterised, and is being implemented at scale. It is central to NWL’s nutrient neutrality and net zero ambitions

Fully Funded PhD in Understanding the solar-induced fluorescence (SIF) signal of tree canopies from remote sensing data, Germany

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  Fully Funded PhD in Understanding the solar-induced fluorescence (SIF) signal of tree canopies from remote sensing data Application Deadline: Open until filled Country: Germany Your Job: IBG-2 plays a globally leading role in retrieving and interpreting solar-induced fluorescence (SIF) measured with imaging and non-imaging sensors at different spatial scales (from leaf up to satellite observations) to monitor the dynamics in vegetation photosynthesis. In this context, the offered PhD position is embedded in a collaborative project together with partners from the German Aerospace Center (PBA) and Bonn University (RSRG). The main goal of the collaborative project is to derive leaf biochemical and canopy structural information from optical and LiDAR data and use this information in the 3D Discrete Anisotropic Radiative Transfer (DART) model to disentangle the functional (photosynthetic) and structural (architectural) contributions to forest canopy SIF derived from remote sensing observa

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