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Artificial Intelligence and Machine Learning Data Scientist- Plymouth Marine Laboratory

Division Science
Deadline 18/07/2021
Contract type Full time- open ended appointment
Salary Range £32527 – £38486 per annum (Scientist Grade)£40486- £46410 per annum (Senior Scientist Grade)- dependent on experience and qualifications

Internationally renowned marine research organization, Plymouth Marine Laboratory (PML) has an exciting opening for an Artificial Intelligence and Machine Learning Data Scientist.
PML has one of the largest aquatic remote sensing groups in the world with 40 permanent staff, undertaking both fundamental research and operational regional and global EO data processing. The group hosts the NERC Earth Observation Data Acquisition and Analysis Service (NEODAAS; to provide EO data and services to the UK environmental communities.

NEODAAS was awarded a £1 million NERC “transformational” capital grant to purchase the Massive Graphics Processing Unit Cluster for Earth Observation (MAGEO) to facilitate application of Deep Learning to Earth Observation data. This represents the largest supercomputer of its kind dedicated to AI applications using earth observation. The cluster was installed in August 2020 and is built around 5 NVIDIA DGX-1 MaxQ nodes, providing a total of 204,800 CUDA cores with a dedicated 2 PB of storage, split into 1.5 PB NAS and 0.5 PB Lustre filesystem.

This position offers the opportunity to develop new research and applications for AI, utilising the MAGEO cluster. Working in collaboration with end-users and the rest of the NEODAAS and wider PML team, the post holder will address scientific questions through the application of appropriate Deep Learning algorithms to a range of areas supported by NERC (including terrestrial, atmospheric and marine). The post holder will also work towards increasing the utilisation of AI by scientists within PML and externally. For example, through contributing to documentation and training material on the use of Deep Learning on the MAGEO system which will be used by NEODAAS end-users and internally at PML.

For more information on the role and to submit your application, please go here.


Closing date: 18/07/2021
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