Applications for this job are now closed
Are you looking for a placement in Artificial Intelligence research? Would you like to discover the work of an artificial intelligence researcher/data scientist? Then apply now! We look forward to you joining us as a student at Airbus Central Research and Technology.
During your placement you will gain an insight into our research on next-after-next generation 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.
What you will be doing
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. 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. Successful candidates will be able to demonstrate the following;
- Enrolled full time student within Computer Science, Computer Engineering, Data Science, Mathematics, Statistics, or a similar field of study;
- 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;
- Fluency in English;
- You are a good team player, have excellent communication skills, and are able to work independently.
We encourage you to apply early to avoid missing out on this opportunity! Please note we will close adverts as soon as we receive sufficient applications.
Please ensure you include your CV and a cover letter for your application to be considered. Eligibility to gain UK SC Security Clearance OR You will be subject to a BPSS check (including a criminal record check).
Additional information
Please let us know if you need us to make any adjustments. Examples of this may include (but is not exclusive to) accessible facilities; additional time for written exercises; auxiliary aids; room layout; dietary requirements etc. Any information disclosed will be treated in the strictest confidence.
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.
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.
