Package Description Joining Serco Italy's amazing team offers: Competitive Salary Great career opportunities Corporate Benefits Package International environment Possible hybrid work Job Introduction Serco in Italy is one of the top 50 World Space Manufacturing and Service companies with a long history of providing Earth Observation operations, maintenance and front-end services to the European Space Agency and other institutions.
The company also offers vast experience to a huge number of IT and space markets including: central governments, defence organisations, the aerospace industry and commercial companies.
We're looking for a Scientific Projects Exploitation to reinforce the team in our Italy office!
We look forward to meeting you!
Main Responsibilities As a Scientific Projects Exploitation, you will be responsible Within the ESA Sensors Performance, Products and Algorithms (SPPA) Section the post-holder will be included in the Swarm Data Innovation and Science Cluster (DISC) contractual framework.
The post-holder will be supporting the data quality assessment of the Swarm different instruments, taken from a subset of: magnetic field instruments, composed by an Absolute Scalar Magnetometer (ASM) and a Vector Field Magnetometer (VFM) and Electric Field Instrument (EFI), composed by a Thermal Ion Imager (TII) and two Langmuir Probes (LP) and of Swarm higher level products, e.g., Swarm Level 2 Cat-2 products.
The required expertise shall be related to : Knowledge of Swarm algorithms and theory underneath the processing of data.
The main activities will be : 1) Performing product quality monitoring activities and provide Mission sensors technical support: Operations of the Quality Control (QC) tools for systematic and on-request product quality analysis and reporting.
Define improvements of the QC tools as needed.
Support in the QC tools software verification and validation.
Support the Swarm Instruments Performance and Product Quality Expert on data anomaly investigations and resolution.
Weekly/Cyclic Reports compilation.
Support to data reprocessing campaigns: dataset definition, analysis of reprocessed data.
Development of ad-hoc data analysis routines if needed.
2) Support to Instrument Processing Facilities (IPF) operations, including: Software maintenance and evolutions verification (plan definition, execution and reporting), Anomaly investigation Support to IPF integration into reference and operational platforms Software configuration tuning Participate to technical coordination meetings (PDGS, DISC) 3) If needed, support interfacing with: External entities and other ESA interfaces (PDGS, PLSO, FOS), to other entities inside DISC, for general end users requests via ESA Earth Observation Help Desk.
4) Prepare scientific documentation / posters for workshops or conferences as agreed within the DISC and with ESA.
5) Support the preparation of periodic service reports on the activities performed Successful Candidate Your skills: Mandatory requisites are: Strong teaming attitude Very good interfacing capabilities towards external interfaces: customer, scientific and technical Proactive approach to problem identification and resolution.
Ability to plan and report on proposed problem solutions and to work to deadline.
Candidates should be fluent in English and have good writing and communication skills.
Availability to travel to attend meetings.
Programming skills: Phyton or MatLab preferentially, other programming languages and scripting (Linux) for data manipulation / analysis automation purposes.
In addition, the candidate shall have: Attitude to follow guidelines and to require minimum supervision, proactively requesting help when needed Ability to plan and report and to work to deadline.
Ability to follow different concurrent activities Attitude to be propositive in suggesting new opportunities of research or solutions leading to scientific improvements of satellite data quality ?Knowledge and Experience 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 and experience requisites are: University degree, or equivalent, in physics or engineering or a related discipline.
Basic knowledge of Earth's ionosphere, magnetosphere, geomagnetic field Experience in satellite data processing & handling; Development of utilities for supporting the analysis of large set of data and data visualization Other skills/ knowledge and experience Previous experience with Swarm mission and/or data is considered an important asset Exposure to AI/Machine Learning considered a valuable asset