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Scientist

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NPL

2021-12-04 04:30:01

Job location Twickenham, Greater London, United Kingdom

Job type: all

Job industry: Science & Technology

Job description

To lead and inspire a team of this calibre, not only will you need to be a world-class expert in your field, you'll also need experience of motivating a team to do better. Inspirational, influential and a great relationship builder, you have the commercial awareness to help us achieve our ambitions. Beyond that, we're looking for someone who'll thrive in an environment like ours. At NPL we learn from each other, respect each other and work together to do better. For ourselves and for our customers. And whilst we're always looking to stretch beyond what we know, we don't make things more complicated when there's no need. Together, we're helping make the impossible, possible.The Climate and Earth Observation group at NPL is a world leader in the theory, methods and practice of metrological traceability of Earth Observation (EO) instrumentation and their data products. CEO projects span the full life cycle of EO instrumentation traceability; from pre-flight calibration, in-orbit validation & sensor inter-operability, together with L1, L2 and derived product quality assurance.We are looking for a scientific leader with significant experience in working with satellite data, either in the development or validation of Earth observation products and services or in the application of satellite data in data assimilation or for climate studies.The successful candidate will join the CEO team to seek and bid for new opportunities of work in the application of metrological techniques and with an emphasis on data quality to their field of expertise, working collaboratively with senior scientific and the group leader to develop capability within the team to expand NPL's portfolio of delivery and meet customer requirements. They will be responsible for leading their technical area, developing a technical strategy which aligns to the NPL vision for satellite Earth observation data used in climate studies enables by the robust application of metrology through uncertainty assessments and quality frameworks.

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