Young Graduate Trainee in Applied Machine Learning

hace 2 semanas

Madrid, España European Space Agency A tiempo completo

**EUROPEAN SPACE AGENCY**

Young Graduate Trainee in Applied Machine Learning to Instrument Operations for XMM-Newton

**Job Requisition ID**:18401**Closing Date**:7 March 2024 23:59 CET/CEST**Publication**:External Only**Vacancy Type**:Young Graduate Trainee**Date Posted**:8 February 2024- Young Graduate Opportunity in the Directorate of Science-
- This post is classified F1 on the Coordinated Organisations’ salary scale.**Location**
- ESAC, Villanueva de la Cañada, Spain**Our team and mission**
The European Space Agency maintains a world-leading Science Programme with missions in heliophysics, planetary science, astrophysics and fundamental physics. Its mission is to 'Empower Europe to lead space science'. The Department for Science and Operations (SCI-S), within ESA's Directorate for Science, hosts the scientists and engineers that oversee the space missions from study to end of operations; it develops the science operation systems for the missions and operates the missions in space; it archives and curates their data during operations and beyond. Our main objective is to maximise the scientific output of the missions for the benefit of humankind.
The X-ray Multi-Mirror observatory (XMM-Newton) is one of ESA’s major science missions. Launched in December 1999, it is still in excellent health and is expected to, i be operated for many more years to come. Staff and contractors at ESAC supporting the XMM- Newton Science Operations Centre (SOC) are responsible for all aspects of science operations. These include general support to the scientific community, handling of proposals for observations as submitted by astronomers, long
- and short-term planning of observations, dealing with Targets of Opportunity, instrument monitoring and handling, scientific calibration, analysis software development, processing of the data to create standard products, and ensuring data distribution via the archive facilities.

**Field(s) of activity/research for the traineeship**
As part of its duties, the XMM-Newton Science Operations Centre (SOC) carefully monitors the health and status of the instruments onboard the satellite. This serves to identify anomalies or trends which may need attention or can affect the quality of the results provided to the community. This task is done by trained specialists, knowing the instruments and their expected behaviour very well.

During this project you will gain specific expertise in data science methods, the operations of scientific satellites and their instruments, working in a scientific platform such as Datalabs, and not least in systematic software development - presumably in Python - in a professional environment. You will also benefit from working within an international team of astronomers, instrument specialists and software engineers with their diverse cultural and technical backgrounds.

**Technical competencies**
Knowledge of relevant technical domains
Relevant experience gained during internships/project work
Breadth of exposure coming from past and/or current research/activities
Knowledge of ESA and its programmes/projects

**Behavioural competencies**
Result Orientation
Operational Efficiency
Fostering Cooperation
Relationship Management
Continuous Improvement
Forward Thinking

**Education**
You should have just completed, or be in the final year of your Master’ s degree in data science, astrophysics, computer science or a related degree.

**Additional requirements**
You should have good interpersonal and communication skills and should be able to work in a multicultural environment, both independently and as part of a team.
You should also have demonstrated, practical expertise in Python programming and software development in general would be strongly desirable. Knowledge about data science methods would be an advantage.
The working languages of the Agency are English and French. A good knowledge of one of these is required. Knowledge of another Member State language would be an asset.
During the interview motivation and overall professional perspective/career goals will also be explored.

**Other information**
- For behavioural competencies expected from ESA staff in general, please refer to the ESA Competency Framework.- For further information on the Young Graduate Programme please visit: Young Graduate Programme and FAQ Young Graduate Programme-
Member States, Associate Members or Cooperating States.

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