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Job Description:
In order to support the System Physical Architecture and Integration department, Airbus Operations is looking for a
You are looking for a master thesis and want to get to know the work of a job title? Then apply now! We look forward to you supporting us in the System Physical Architecture and Integration department as a master student (d/f/m)!
Location: Hamburg
Start: 01.09.2024
Duration: 6 months
The physical system installation design of commercial aircraft needs to consider a variety of intrinsic or external threat scenarios such as wheel and tire failure, bird strike, uncontained engine rotor failure (...). For selected aircraft functions it is required to demonstrate their availability following such an event in order to ensure continued safe flight and landing.
In order to optimize the physical system installation of an aircraft, it is necessary to understand the potential failure modes induced by the above mentioned threats towards those physical system components that contribute to aircraft safety. A level of complexity arises by the required multi physical interdependencies (e.g. transient shockwave loads acting on- installed electrical harnesses or pipes) that shall be analyzed by numerical simulations in time and space domain.
Multiphysics numerical simulation used for
Optimization of physical System Installation
Definition of innovative ways to demonstrate aircraft safety using latest simulation tools
You will be working at the largest production site for civil aircraft situated in Hamburg. Its location on the southern banks of the river Elbe includes the option to commute by ferry. Experience the special flair of Hamburg in your spare time where vibrant cosmopolitan culture meets nautic legacy.
Work-life balance with a 35-hour week (flexitime).
Mobile working after agreement with the department.
International environment with the opportunity to network globally.
Work with modern/diversified technologies.
At Airbus, we see you as a valuable team member and you are not hired to brew coffee, instead you are in close contact with the interfaces and are part of our weekly team meetings.
Opportunity to participate in the Generation Airbus Community to expand your own network.
You will support the global understanding of physical impacts originating from selected particular risk events by:
Research of scientific publications related to physical damage simulation of installed aircraft systems following selected particular risk events.
Identification of all input parameters to enable numerical multiphysics simulations
Consolidation of input parameters or their substitutive assumptions for.
Execution of selected multiphysics simulation use cases.
Thanks to this approach you will contribute to design optimization of system installation under consideration of cascaded aircraft safety objectives.
Enrolled full-time student (d/f/m) in the area of Multiphysics numerical simulation or an equivalent field of study.
You are motivated to work in aeronautics and multi physical numerical simulations.
You have an educational Engineering background [TU- preferably] in mechanical engineering.
After the successful completion of your bachelor’s degree you are now entering into the final phase of your master studies. For your master thesis you are looking for an opportunity to work in the inspiring environment of aeronautical industries.
You enjoy working in a multicultural team and you are curious about new aircraft development.
Your English language skills correspond to negotiation level.
Basic knowledge avionic Systems.
Structural analysis considering transient effects, FEA.
System installation and integration.
Autonomous scientific working capabilities.
Basic knowledge in computer simulation.
Please upload the following documents: cover letter, CV, relevant transcripts, enrollment certificate.
Not a 100% match? No worries! Airbus supports your personal growth.
Take your career to a new level and apply online now!
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 GmbHEmployment Type:
Final-year Thesis-------
Experience Level:
StudentJob Family:
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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Job Description:
Airbus Operations is looking for a
You are looking for a PhD thesis and want to learn about the usage of AI in aviation? Then apply now! We look forward to you supporting us as a PhD student (d/f/m)!
Location: Hamburg Finkenwerder or Hamburg City Nord
Start: As soon as possible
Duration: 3 years
We at Airbus strive to create a safe and sustainable future for the aviation industry. In a constantly changing and demanding world, building airplanes is no longer enough. We are the team for digitalization and automation in FAF Airframe Airbus Engineering, responsible for the central and rear fuselage sections, and we deliver software products and services along the entire value chain. We contribute significantly to the company’s vision by driving digital ways of working to enable our engineers to shape a sustainable future.
Your mission is inspiring: Dependable and trustworthy AI will be essential for future aircraft design. AI systems must be accurate, efficient, safe, reliable, ethical, and transparent. They must meet the highest quality and certification standards, and respect human dignity and autonomy. Dependable and trustworthy AI can improve aviation processes and their resilience, reduce errors and risks, and boost customer satisfaction and trust. As a PhD Candidate in AI/ML for Airframe Engineering, you will develop and evaluate dependable and trustworthy AI solutions for aviation, following EASA and other authorities’ guidelines and best practices. You will also work with other experts and researchers in dependable and trustworthy AI, and share your results and suggestions with the Airframe community and beyond.
You are a person who is curious about new technologies and wants to apply them to the aviation industry. You collect information from various sources and are able to communicate it clearly to the Airframe community. You will join an international and diverse team of competent data scientists, software developers, product managers and engineers. You work, learn and grow in an environment of creativity and collaboration. You also establish a network with other researchers and practitioners in the same field, both within and outside the company, to exchange ideas and insights.
We are a team of motivated individuals who also like to have fun. We value innovative ideas and encourage original thinking. Come and be part of the future of aviation and help enhance the daily work of our engineers!
Your location
You will be working at the largest production site for civil aircraft situated in Hamburg. Its location on the southern banks of the river Elbe includes the option to commute by ferry. Experience the special flair of Hamburg in your spare time where vibrant cosmopolitan culture meets nautic legacy.
Your benefits
Work-life balance with a 35-hour week (flexitime).
Mobile working after agreement with the department.
Traveling overseas or within Germany (team events) is possible after consultation and agreement from the department.
International environment with the opportunity to network globally.
Work with modern/diversified technologies.
At Airbus, we see you as a valuable team member and you are not hired to brew coffee, instead you are in close contact with the interfaces and are part of our weekly team meetings.
Opportunity to participate in the Generation Airbus Community to expand your own network.
Your tasks and responsibilities
Conduct literature reviews and state-of-the-art surveys on dependable and trustworthy AI methods and applications
Develop and implement novel AI/ML algorithms and models that meet safety, reliability, ethics, and transparency requirements
Evaluate and validate the performance and robustness of the proposed AI/ML solutions using real-world data and scenarios
Publish and present the research outcomes in high-quality journals and conferences
Stay up to date on the latest developments in IT, Data Analysis & Data Science
Desired skills and qualifications
A master’s degree in computer science, engineering, mathematics, or a related field, with a background in AI/ML and an interest in aviation
Experience in developing and applying AI/ML techniques and tools, such as Python, TensorFlow, PyTorch, etc.
Knowledge of the principles and standards of dependable and trustworthy AI, such as EASA’s AI Roadmap and the EU’s Ethics Guidelines for Trustworthy AI
Ability to conduct independent and original research, as well as work effectively in a team.
Excellent communication and writing skills in English.
Please upload the following documents: cover letter, CV, relevant transcripts, enrollment certificate.
Not a 100% match? No worries! Airbus supports your personal growth.
Take your career to a new level and apply online now!
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 GmbHEmployment Type:
PHD, Research-------
Experience Level:
StudentJob Family:
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.
Official account of Jobstore.
Job Description:
In order to support the Data-Driven Services & Maintenance department, Airbus Operations is looking for a
You are looking for a master thesis and want to get to know the work of a job title? Then apply now! We look forward to you supporting us in the Data-Driven Services & Maintenance department as a master student (d/f/m)!
Location: Hamburg
Start: 01.04.2024
Duration: 6 months
Want to spread your wings? What if YOUR ADVENTURE begins with US? We offer you the opportunity to work in a world leader company in its field, focused on digital technology, at the forefront of research and innovation.
You will join our Data-Driven Services & Maintenance department consisting of more than 80 people in several Engineering Centers in Europe. Its mission is to deliver “world-class” Products, Services & Support and spread excellence for Maintenance, Certification & Artificial Intelligence, keeping our Customers in mind, our people at heart and innovation in our DNA.
This thesis position will consist of studying and implementing techniques for speech recognition, natural language processing and information extraction based on deep/machine learning tools and ontologies. The application can concern aircraft systems and will use in-service data to evaluate the performance of the proposed methods. This involves studying state of the art speech and pattern recognition, baseline language models and autoregressive algorithms, defining relevant performance metrics for the business and addressing the issues of managing the uncertainty of results (characterization and quantification) to develop a robust methodology.
You will be under the responsibility of a supervisor who will help you to identify your professional objectives and support you in the development of your skills.
You will work on to the following thesis elements:
Bibliographic review of methods and techniques for speech recognition and natural language processing based on machine learning.
Comparative review and implementation of models.
Characterization of the various performances and risks (e.g. certifiability) associated with the use cases studied.
Definition of relevant metrics and indicators to estimate robustness during in-service operation.
Documentation of down-selected solution.
You are currently registered as a full time Master degree student (d/f/m) in the field of Data Science, Statistics, (applied) Mathematics or equivalent.
First experience in Data Science, Machine Learning, Deep Learning or Statistics/ Probability studies.
Practical experience within one or more of the following fields: Certifiable AI, Generative AI, Natural Language Processing (NLP), Large Language Models, Automatic Speech Recognition or Reinforcement Learning from human feedback (RLHF)
Mastering tools in Python (numpy, tensorflow, pytorch, jax, …).
Interest in innovation and research.
You have good communications skills and an advanced level in English.
You will be working at the largest production site for civil aircraft situated in Hamburg. Its location on the southern banks of the river Elbe includes the option to commute by ferry. Experience the special flair of Hamburg in your spare time where vibrant cosmopolitan culture meets nautic legacy.
Work-life balance with a 35-hour week (flexitime).
Mobile working after agreement with the department.
Traveling overseas or within Germany (team events) is possible after consultation and agreement from the department.
International environment with the opportunity to network globally.
Work with modern/diversified technologies.
At Airbus, we see you as a valuable team member and you are not hired to brew coffee, instead you are in close contact with the interfaces and are part of our weekly team meetings.
Opportunity to participate in the Generation Airbus Community to expand your own network.
Please upload the following documents: cover letter, CV, relevant transcripts, enrollment certificate and a link to your Git would be desirable.
Not a 100% match? No worries! Airbus supports your personal growth.
Take your career to a new level and apply online now!
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 GmbHEmployment Type:
Internship-------
Experience Level:
StudentJob Family:
Digital <JF-IM-DI>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.
Official account of Jobstore.
