Job Description:
Start date: 17 August 2026
Location: Filton, Bristol
Duration : 12.5 months
Application: We love your interest in joining Airbus! There is no limit on the number of positions you can apply for, however, please be aware that
you can only progress in the selection process for one position at a time . We recommend reviewing all available opportunities and applying to those that best match your experience and aspirations.
AI Guidance: We know you might be thinking about using AI to help you in your application - before you do, please read our guidelines on the use of AI for recruitment at Airbus http://airbus.com/en/careers/use-of-ai.
Apply early to avoid missing out - we may close adverts once we receive sufficient applications.
Benefits:
Salary: £23,400
35 hours per week // Flexible working hours // Hybrid working // Half day Fridays! // 25 days holiday plus bank holidays
About us:
Are you looking to gain hands-on experience in Artificial Intelligence (AI) research? Do you want to discover the daily work of an AI researcher and data scientist? If so, we invite you to apply for a placement with the Airbus Central Research and Technology team.
As a valued member of our team, you will gain insight into our research on next-generation AI and data science solutions. You will collaborate on challenges across all Airbus divisions within a dynamic and international team, working together across multiple countries. This is a unique opportunity to contribute to cutting-edge research and develop your skills in a professional environment.
What you will be doing:
During your placement you will gain an insight into our research on artificial intelligence (and data science) algorithms and solutions for challenges across all Airbus divisions within an international and multidisciplinary team, working together across multiple countries.
Being able to explain the outcome of an AI model is key to improve the acceptance of such algorithms in operations or to certification authorities. For instance, when a task is automatically assigned to a worker, the manager might need to understand the reasons why this worker and this task were chosen. Also, when a schedule is impossible to get given the constraints, it is crucial to understand how to relax these constraints to get a schedule that is acceptable.
As part of your internship, you will therefore look into the latest concepts and algorithms that tackle the explainability of decision making algorithms. The skills you will develop will vary depending on the needs of the business, your own interests, and the expertise available on the team.
Working in a research team, your focus will be on contributing to solving hard problems and creating proofs of concepts rather than implementing or optimizing existing solutions. You will work alongside highly educated scientists (often PhD level) with industrial experience, as well as collaborating with other parts of the business, and academic and other industry partners.
You will gain experience in working with AI frameworks and workflows, as well as cloud computing, web services, etc. Training and onboarding will be provided, but you find it easier joining us if you have some understanding of or experience with: Python; TensorFlow; PyTorch; Keras; and Amazon Web Services (AWS).
We offer you some exciting tasks:
- Understand the basic concepts of decision making algorithms and customer use-cases;
- Carry on a comprehensive literature review and survey on recent explainability methods for decision making algorithms;
- Develop demonstrators in line with customer expectations integrating latest work developed on explainability of decision making for concept(s) and algorithm(s) for evaluation;
- Assess the performance of the achieved concept and algorithm on use-case data.
Requirements:
Our placements are open to
Undergraduates only . Therefore it is mandatory for candidates to be an undergraduate for the whole duration of the placement. Please inform your graduation date on your application.
- Your application should include a CV along with a Cover Letter outlining your motivation and suitability for the role.*
Successful candidates will be able to demonstrate the following:
- Studying towards a degree in Artificial Intelligence, Computer Science, Computer Engineering, Data Science, Mathematics, Statistics, Physics, or equivalent;
- Experience in Python programming and use of common packages like Pandas, Matplotlib, Plotly, Networkx etc...;
- Knowledge of decision making algorithms;
- Ability to summarize findings in technical reports;
- You are a good team player, have excellent communication skills, and are able to work independently.
SECURITY CLEARANCE: You will be subject to a BPSS (Baseline Personnel Security Standard) check. You may also need to gain UK SC-level Security Clearance or Export Control, depending on the role.
Contact
Please let us know if you need us to make any adjustments to allow you to access and participate fully in the recruitment process. If you wish to discuss this further please contact us. Any information disclosed will be treated in the strictest confidence.
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This job requires an awareness of any potential compliance risks and a commitment to act with integrity, as the foundation for the Company’s success, reputation and sustainable growth.
Company:
Airbus Operations Limited
Employment Type:
Internship
Experience Level:
Student
Job Family:
Support to Management
By submitting your CV or application you are consenting to Airbus using and storing information about you for monitoring purposes relating to your application or future employment. This information will only be used by Airbus.
Airbus is committed to achieving workforce diversity and creating an inclusive working environment. We welcome all applications irrespective of social and cultural background, age, gender, disability, sexual orientation or religious belief.
Airbus is, and always has been, committed to equal opportunities for all. As such, we will never ask for any type of monetary exchange in the frame of a recruitment process. Any impersonation of Airbus to do so should be reported to emsom@airbus.com .
At Airbus, we support you to work, connect and collaborate more easily and flexibly. Wherever possible, we foster flexible working arrangements to stimulate innovative thinking.
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