The newly formed Cambridge Centre for Carbon Credits (CCCC) is funding 6 studentships in affiliation with the AI4ER CDT (https://ai4er-cdt.esc.cam.ac.uk/training). These studentships are a fully funded and will cover home or international tuition fees, research costs and an annual tax-free stipend of at least £15,000 for four years full-time (1 yr MRes + 3 yrs PhD), starting on 26 September 2022.
Successful candidates for CCCC studentships will enrol and join the AI4ER CDT programme (1 yr MRes + 3yrs PhD). Applicants will need to identify their project choice at the application stage. The following projects (MRes and PhD) are available.
- Project 1: Artificial intelligence approaches to reconstruct changing landscapes with remote sensing
- Project 2: The biodiversity value of nature-based climate projects
- Project 3: Consequences of forgone production from nature-based climate projects
- Project 4: Sensor design for energy-constrained nature-based deployments
- Project 5: Drone-based forest biomass and soil analysis using machine learning techniques
- Project 6: Queueing-theoretic analysis of carbon sequestration
These projects span environmental science and computer science. Project supervision will therefore be provided by an appropriate cross-cutting supervisory team drawn from members of the CCCC.
If you are interested in applying for a CCCC studentship, please follow the instructions to apply (https://ai4er-cdt.esc.cam.ac.uk/applying-us/how-apply). On your statement of interest please indicate that you are also interested in applying for a CCCC studentship and rank up to 3 projects that you are interested in applying to.
Shortlisting and interviews will take place shortly after applications close on Friday 11 Feb 2022.
Further information can be found at https://ai4er-cdt.esc.cam.ac.uk/applying-us/cambridge-centre-carbon-credits-studentships.
Fixed-term: The funds for this post are available for 4 years in the first instance.
If you have any questions about this vacancy or the application process, please contact the AI4ER CDT Administrator, Adriana Dote (email@example.com).
Please quote reference LB28615 on your application and in any correspondence about this vacancy.
The University actively supports equality, diversity and inclusion and encourages applications from all sections of society.
The University has a responsibility to ensure that all employees are eligible to live and work in the UK.