Land Remote Sensing Scientist
Job Introduction
At Serco, we strive to promote and enable the diversity, development, wellbeing and safety of our people.
We understand that healthier, happier employees go hand-in-hand with strong business performance, enhanced productivity and better outcomes for those we serve.
We want everybody who works for Serco to have a positive experience and access to opportunities to develop in their chosen careers.
Dedicated to the European Space Agency's Earth-observing activities, ESA-ESRIN is the European centre of excellence for exploitation of Earth observation missions.
The mission and payload operations of ESA's Earth observation satellites are managed here, and ESRIN is the primary source for the acquisition, distribution, and exploitation of data from these and other non-ESA satellites.
Serco Italy has a long history of providing Earth Observation operations, maintenance and front-end services to ESA.
To provide continual service improvement, Serco has recently introduced a special focus on evolution and innovation, with the aim of supporting ESA in further evolving the services and products.
Does working in a Serco environment sound appealing to you?
**We would love to hear from you and your interest in the new opportunity of Land Remote Sensing Scientist in Frascati !
Within the ESA Sensors Performance, Products and Algorithms (SPPA) Section the post-holder will be included in the Quality Assurance for Earth Observation (QA4EO) contractual framework.
You will be supporting the ESA Data Quality Managers for the Quality Assessment (QA) and Calibration/Validation (Cal/Val) activities with focus on optical land calibration and validation.
It will provide also expertise in atmospheric correction algorithms to compare and validate current methods and propose improvement.
Main Responsibilities
As **Land Remote Sensing Scientist** you will be responsible for:
**_A) Perform Quality Assessment (QA) and Cal/Val activities for ESA in the optical domain:_
- Provide Cal/Val expertise for ESA and Third Party Missons (Proba-V, Landsat, . . . ) for surface reflectance products validation;
- Provide expertise in atmospheric correction algorithms, compare and validate the current methods and proactively propose improvements;
- Participate in and contribute to QA4EO meetings and other relevant conferences, including preparation and presentation of relevant service results or inputs to ESA presentations.
**_B) Support ESA workshops organization, chairing and follow-up activities:_
- Assist and support the data quality manager and other relevant ESA staff in preparing workshops
- Prepare draft of Workshop announcement including objectives, themes, sessions
- Assist review of abstracts and propose keynote contribution around the relevant scientific themes
- Contribute to chairing and logistic activities for the workshops
- Prepare draft report summarizing the major scientific outcomes from the workshop
**_C) Coordinate and Support QA, Workshops organization and Multi-mission studies activities with scientific partners:_
- Review the contribution from the scientific partners and steer the improvements in the QA and Cal/Val methodologies
- Formulate recommendations to ESA on mission improvements in terms of product content, quality and related documentation
- Support the generation of recommendations to ESA on possible new activities on present or future EO Mission
In return, we offer a friendly, supportive and professional environment that respects your work/life balance and ultimately contributes to the delivery of public services in Italy and around the world.
**Mandatory skill requisites are**:
- Strong teaming attitude.
- Very good coordination capabilities with external international partners.
- Proactive approach to problem identification and resolution.
- Ability to plan and report on proposed problem solutions and to work to deadline.
- Availability to travel to attend meetings.
- Programming skills: ability to develop advanced Data Analytics tool using various programming language, mainly Python
Applicants should have a high level of self-motivation, the capability to work effectively in a team and autonomously, and have excellent organisation skills.
A strong proactive attitude is required in identifying problems and proposing solutions.
**Mandatory knowledge requisites are**:
- Physics (or mathematical) background with experience in Earth Observation (EO) using Optical Sensors
- Experience on projects coordination for science-related activities
**Additional assets**:
- Expertise on relevant scientific research, in particular: radiative transfer modeling and atmospheric correction
- Experience on Data Science and Exploitation Platforms for EO
- Mathematical and statistical skills for the development of advanced Data Analytics
- Satellite Data analysis and exploitation for Earth Observation
- Scientific knowledge of satellite geo-physical variables retrieval and validation**_Important:_
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