JOB OFFERS

Application Interface Engineer

ALTEC is involved in several Science and Technological Programs in the aerospace domain where data systems are represented by software components that together with infrastructure and communication system constitute the ground segment of a space mission. Scientific applications are typical components in science ground segment and have the scope to support observations acquisition and transform observations taken onboard into validated data products for the science community.

The Data Processing System and Scientific and Technological Application group hosts the engineers, physicists and mathematicians who oversee the space mission data systems from definition to end of operations; it develops and maintains the data systems aimed at mission support and the execution of science operations on ground; it integrates scientific application and develop technological application to support; it archives and manages their data during operations and beyond. Moreover, the group is involved in the post-mission data exploitation in order to create application devoted to maximize the information value extracted from collected data.

DUTIES

You will be in charge of all engineering aspects of defining, implementing and / or integrating and validating scientific and technological applications in areas such as solar physics, astrophysics and space weather.

You will be part of the team that is in charge of data processing operations aspects preparation, validation and execution of data processing operations under the ALTEC responsibility.

You will work in close collaboration with the data engineers, data scientists, mission operators and infrastructure engineer during project phases.

You will be expected to be the main interface to the community of application end-users and will have to manage the technical interactions with them during the execution of projects.

Required experience & technical skills / Skills

A MSc or equivalent degree in physics or engineering with high score.

Ability to define a scientific application in terms of:

  • scientific requirements understanding,
  • gathering and analysis of scientific requirements,
  • definition of the application,
  • data selection, exploration and pre-processing
  • integration of scientific processing algorithms,
    • decomposition of algorithms into processing blocks
    • definition of data interfaces between modules,
  • definition and implementation of validation campaigns for scientific applications

Ability to define a technological application in terms of:

  • understanding user requirements,
  • collection and analysis of technical requirements,
  • definition of the application,
  • data selection, exploration and pre-processing,
  • definition of algorithms for technological application:
    • decomposition of algorithms into processing blocks
    • definition of data interfaces between modules,
  • implementation of the algorithms required by the application,
  • integration of the algorithms developed for processing pipelines,
  • definition and implementation of validation campaigns for technological applications.
  • critical analysis of operational processes to identify automation opportunities and optimise workflows.
  • design and implementation of process automation solutions,
  • organisation and planning of technical activities, resources and priorities to achieve technical objectives while ensuring operational efficiency.
    Ability to use scientific applications in operations tracking issue and defining their evolution roadmap

Knowledge functional programming with coding experience in python.

Knowledge of image processing algorithms and techniques applied in academic or industrial projects.

Knowledge of XML and JSON data interchange formats for metadata description.

Knowledge of data analysis and manipulation tools (e.g. Pandas)

Ability to use the following development tool: Notebook, gitlab, etc..

Basic knowledge of the Linux operating system and scripting languages.

Good knowledge of the English language.

Soft skills

Analytical Problem Solving

Effective Time & Priority Management

Results Orientation

Operational Excellence

Collaboration & Teamwork

Stakeholder Relationship Management

Continuous Improvement Mindset

 

Additional assets

Analytical Problem Solving

Effective Time & Priority Management

Results Orientation

Operational Excellence

Collaboration & Teamwork

Stakeholder Relationship Management

The research is aimed at both genders.

Continuous Improvement Mindset
Salary range offered based on skills/experience in line with the required profile: €30,000 – €38,000