Intern in the Science Operations Department, Exploring potential of AI to boost Product Assurance

Join our team to explore AI in Product Assurance and boost efficiency.

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ESA - European Space Agency

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Application deadline 1 year ago: Saturday 30 Nov 2024 at 23:59 UTC

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Overview

Join our team to explore AI in Product Assurance and boost efficiency.

You have:

  • You must be a university student, preferably in your final or second-to-last year of a university course at Master’s level and you need to remain enrolled at your University for the entire duration of the internship.
  • A good knowledge of either English or French is required.
  • Knowledge of another Member State language would be an asset.
  • Knowledge of Software Engineering process is an asset.
  • Knowledge of Artificial Intelligence methodologies is an asset.
  • Programming languages: Python is an asset.
  • Knowledge of testing processes and tools is an asset.
  • Knowledge of CI/CD is an asset.
  • Knowledge of software quality assurance practices and techniques is an asset.

Contract

This is a Internship contract. It usually requires 0 years of experience, depending on education. More about Internship contracts.

Internship Opportunity in the Directorate of Science.

Location

Madrid Our team and mission

This position is based at the European Space Astronomy Centre (ESAC) - Near Madrid, Spain

Under the direct authority of the Directorate of Science, the Head of the Science Operations Department is responsible for the development of the science operations infrastructure under the Directorate responsibility, the operation of the Directorate’s missions once successfully commissioned, and the curation of all scientific data in the missions’ legacy phase. These responsibilities are discharged in full coordination with the Directorate’s Departments and Offices and as appropriate, with the Directorate of Operations (D/OPS).

In implementing its duties, the Science Operations Department is supported by the:

  • Mission Management and Science Operations Division (SCI-SO);
  • Science Operations Development Division (SCI-SD);
  • Data Science and Archives Division (SCI-SA).

Candidates interested are encouraged to visit the ESA website: http://www.esa.int

Field(s) of activity for the internship

Topic of the internship: Exploring the potential of Artificial Intelligence to boost Product Assurance

The Product Assurance Team offers comprehensive support across all missions within the Science Operations department. Our role involves setting and monitoring the quality of software applications developed, as well as ensuring that both development and operational processes meet specific standards. The aim of this internship is to investigate various AI techniques and apply some of them to enhance automation levels and, consequently, the efficiency of the PA Team.

Your work will involve analysing different AI methodologies such as Machine Learning, Natural Language Processing, and Deep Learning to assess the impact of these technologies on Product Assurance processes and tasks.

The project encompasses two main objectives:

  • Investigating potential applications for a ChatBot within Product Assurance, exploring available technologies, and developing a prototype that supports Product Assurance Processes and adheres to the ECSS standards relevant to ESAC projects;
  • Exploring AI assistant tools like MS Copilot to understand their potential in streamlining and speeding up our workflows, thereby increasing efficiency and reducing errors.

Behavioural competencies

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

For more information, please refer to ESA Core Behavioural Competencies guidebook

Education

You must be a university student, preferably in your final or second-to-last year of a university course at Master’s level and you need to remain enrolled at your University for the entire duration of the internship.

Additional requirements

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.

The following would be an asset:

  • Knowledge of Software Engineering process;
  • Knowledge of Artificial Intelligence methodologies;
  • Programming languages: Python;
  • Knowledge of testing processes and tools;
  • Knowledge of CI/CD;
  • Knowledge of software quality assurance practices and techniques.

Other information

ESA is an equal opportunity employer, committed to achieving diversity within the workforce and creating an inclusive working environment. We therefore welcome applications from all qualified candidates irrespective of gender, sexual orientation, ethnicity, beliefs, age, disability or other characteristics. Applications from women are encouraged.

At the Agency we value diversity, and we welcome people with disabilities. Whenever possible, we seek to accommodate individuals with disabilities by providing the necessary support at the workplace. The Human Resources Department can also provide assistance during the recruitment process. If you would like to discuss this further, please contact us via email at [email protected].

Please note that applications are only considered from nationals of one of the following States: Austria, Belgium, the Czech Republic, Denmark, Estonia, Finland, France, Germany, Greece, Hungary, Ireland, Italy, Luxembourg, the Netherlands, Norway, Poland, Portugal, Romania, Spain, Sweden, Switzerland, and the United Kingdom. Nationals from Latvia, Lithuania, Slovakia and Slovenia, as Associate Member States, or Canada as a Cooperating State, can apply as well as those from Bulgaria, Croatia and Cyprus as European Cooperating States (ECS).

Potential interview questions

Can you describe a time when you used AI or a complex software application to solve a problem? This question assesses your familiarity with AI and software applications in real-world scenarios. Provide a specific example demonstrating your technical skills and problem-solving ability.
How would you approach learning a new programming language or AI methodology? This evaluates your adaptability and learning approach in the tech field. Pro members can see the explanation.
What steps would you take to ensure the quality of a software application? Pro members can see the explanation. Pro members can see the explanation.
Can you provide an example of how you contributed to a team project? Pro members can see the explanation. Pro members can see the explanation.
Why are you interested in applying AI to product assurance? Pro members can see the explanation. Pro members can see the explanation.
Added 1 year ago - Updated 1 year ago - Source: jobs.esa.int