|Placed On:||30th September 2020|
|Closes:||28th October 2020|
|Job Ref:||Hutton 31-20|
The work undertaken by The James Hutton Group is right at the top of the global agenda tackling problems such as the impact of climate change and threats to food and water security.
The Information and Computational Sciences (ICS) Department brings together an exceptional combination of scientific skills and expertise. This ranges from genome scale bioinformatics to the modeling of edaphic or climate information on a geographical scale providing the Institute with a unique capacity to rise to the challenges that come from the new high-throughput data generation technologies that are revolutionising genome and diversity analysis.
Applications are invited for a postdoctoral researcher to work on a NERC funded multi-disciplinary project to develop dynamic digital platform to create a Monitoring, Reporting and Verification (MRV) system to capture changes in soil carbon and GHG emissions from agricultural systems.
More information on the detail of the post and the post holder can be found below in the job description.
Main Purpose of Job
In this project, we will connect multi-scale sensors using machine learning and novel modelling approaches to detect long term changes in SOC and GHG emissions across multiple land uses. This project aims to demonstrate a novel solution for improved land carbon systems understanding by linking sensors, edge and High Performance Computing (HPC)-based data analysis, modelling and visualization to enable farmer and policy maker information needs in support of net zero GHG emissions.
You should have a PhD directly relevant to Ecosystem modelling, demonstrable experience in modelling biological systems at a range of spatial scales, and a high level of technical capability to undertake large and complex simulations. A track record of high-quality scientific publications in this area is required. You should also have experience in working and communicating with scientists from multiple disciplines. Expertise in spatial analysis would be highly advantageous.
The successful applicant will work as part of a collaboration comprising various ecosystem modellers, computational and data scientists and social scientist at the James Hutton Institute alongside researchers at the University of Aberdeen and Centre for Ecology and Hydrology, Edinburgh.
More information relating to the post can be found on our careers site.
Note: Due to the current COVID-19 lockdown restrictions it is possible that interviewing of candidates will be held remotely. You should therefore ensure you have access to a broadband connection and ideally a PC or laptop.
We will not consider the use of 3rd party recruitment agencies for the sourcing of candidates for this position.
The James Hutton Institute is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
The James Hutton Institute is a: Stonewall Diversity Champion; Athena SWAN Bronze Status Holder; Disability Confident Committed Employer and a Living Wage Employer.
Job Type: Fixed term - 2 years
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