[ES_JOBS_NET] Environmental Data Scientist at Plymouth Marine Laboratory

[Cara Manning]

*Job title:* Environmental Intelligence Data Scientist
*Employer: *Plymouth Marine Laboratory, Earth Observation Science and
Applications Group
*Notes:* Full-time; open-ended appointment, salary range starting at £32,200

*Apply here:*
https://advanced.advorto.com/pml/VacancyInformation.aspx?VId=21515

*Description:*
PML is looking for an enthusiastic and forward-looking data scientist to
develop environmental intelligence applications using Earth Observation
(EO) data from satellites, aircraft and drones. The successful applicant
will work in the NERC EO Data Acquisition Service (NEODAAS) that provides
researchers in the UK with EO data and services and has recently installed
a new £1M 40-GPU cluster (MAGEO) with 2PB of storage. The postholder will
work with UK scientists, applying machine learning and data science
techniques to large EO datasets and will make use of the MAGEO system. They
will tackle problems covering timeseries, image analysis and integration of
data collected from multiple sources across diverse environmental science
areas. Solutions to these problems will likely require technologies across
the spectrum of machine learning, ranging from XGBoost and decision trees
through to multilayer perceptron's, large scale convolutional neural
networks and recurrent neural networks. The work will be driven by end-user
requirements and will depend on both well established and state-of-the-art
approaches to deliver results and publications.

The position is part of the 40+ person remote sensing team at PML
comprising marine and freshwater research scientists, Python Gurus, Data
Ninjas, Linux Magicians and web visualisation experts. The group have
extensive in-house computing resources available, holding an archive of
satellite data which is being added to daily.

*Key deliverables of the role:*
-Development of new research and applications utilising a broad spectrum of
machine learning techniques in collaboration with NEODAAS end-users.
-Generation of training material to improve data science skills in both
external NEODAAS users and within PML and to increase uptake of Deep
Learning techniques.

*Required skills and experience:*
-An enthusiasm for working with others to solve problems using machine
learning.
-A passion for producing well designed and documented code.
-Computer vision/image segmentation and object detection experience across
multiple problem areas.
-Strong development skills in Python, using key Deep Learning libraries
such as Tensorflow/PyTorch.

*The following skills and experience would also be beneficial:*
-Experience using Earth Observation data.
-Familiarity with distributed learning approaches.
-Container technologies such as Docker and Singularity.
-Experience using Linux, in particular setting up and managing systems.
-Experience with MPI and HPC technologies such as SLURM

This post is open-ended and available up to full-time. Whilst candidates
will be expected to spend some time in PML’s offices in Plymouth,
opportunities for flexible working arrangements may be considered.

PML is a world leader in marine science and have contributed to a better
understanding of our oceans and the challenges posed by climate change and
plastic pollution by embracing a range of technologies.

PML is committed to equality, diversity and inclusion, and our policy can
be found
https://www.pml.ac.uk/getattachment/Working_with_us/SN_40_20_PML_Equalilty_diversity_and_inclusion_policy.pdf.
We are proud to have achieved the Athena SWAN award as recognition of our
achievements in gender equality. As part of this, whilst the selection
process will be based on merit, we particularly welcome applications from
female candidates, currently underrepresented.

*Apply here:*
https://advanced.advorto.com/pml/VacancyInformation.aspx?VId=21515
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