You will drive technology and process innovations in Flight Physics by implementing AI solutions and supporting integrated designs. Your role involves managing development life cycles and facilitating knowledge transfer across teams.
Anforderungen
- •University degree in engineering
- •At least 3 years professional experience
- •Applied skills in Python and C++
- •Excellent knowledge in continuous integration
- •Experience with continuous integration and Git
- •Previous experience in machine learning modeling
- •Previous experience with front end development
- •Previous experience on CFD & FEM
- •Previous experience on High Performance Computing
- •Strong desire to work and learn
Deine Aufgaben
- •Support technology and process development in Flight Physics.
- •Implement machine learning and AI solutions iteratively.
- •Develop integrated solutions for aircraft design digitization.
- •Manage end-to-end life-cycle of established methods and tools.
- •Document processes and facilitate knowledge transfer to stakeholders.
- •Develop and deploy innovative problem-solving methods in flight physics.
Deine Vorteile
Attractive salary with bonuses
30 days of paid vacation
Excellent upskilling opportunities
Special employer-funded benefits
On-site medical services available
Family friendly working conditions
Diverse working environment
Original Beschreibung
# Flight Physics - Senior PMT Engineer - Capabilities & Data Scientist (d/f/m)
**Manching** | **Full time**
****Job Description:****
Do you want to push boundaries at the heart of Airbus by joining a team in Flight Physics? Help pave the way to a more digital, sustainable and safer future. Come join us.
Flight Physics is responsible for the design and characterization of all military aircraft programs throughout their product life cycle. We use numerical simulations and testing to understand the aircraft behaviour and to create and deliver aircraft representative data for flight performance, aerodynamics, structural dynamics, mass properties, acoustics and vibration.
**Your location**
Located about an hour’s drive north of Munich, Manching is an up-and-coming market town that offers a wide range of leisure and cultural activities. Here, you can enjoy a high quality of life in the countryside while the attractions of nearby cities remain easily accessible.
**Your benefits**
* Attractive salary and special payments
* 30 days of paid vacation plus additional days off for special occasions
* Excellent upskilling opportunities and great international, group wide development prospects
* Special benefits: employer-funded pension, employee stock options, discounted car leasing, special conditions for insurances, subsidies for public transport, employee benefits at cooperating companies
* On-site-facilities: Medical services for check-ups and other health needs, canteen and cafeteria, kindergarten close to the site
* Family friendly working conditions (job sharing, part-time models, flexible working hours, individual timeout)
* Working in a diverse environment, with more than 140 nationalities, where every voice is heard
**Your tasks and responsibilities**
* Support and perform technologies, process, methods and tool developments within Flight Physics in close collaboration with the technical domains
* Implementation of machine learning and artificial intelligence solutions based on iterative model development: model and algorithm selection, model training, model validation and model optimization
* Development of integrated solutions to support the end-to-end processes digitalisation for Overall Aircraft Design
* Technical support responsibility of end-to-end life-cycle of established process, methods and tools components – starting with proof-of-concept until integration in industrialized processes
* Documentation and evidences for the process, methods and tools development and knowledge transfer to the essential stakeholders
* Develop, prove, validate and deploy disruptive ways of solving problems in flight physics with a holistic approach. Challenge the status quo.
**Desired skills and qualifications**
* University degree in engineering, computer science, mathematics or equivalent.
* At least 3 years professional experience in programming & data science in development and engineering areas
* Applied skills in Python and C++ and state-of-the art data science frameworks
* Excellent knowledge in continuous integration and tool developments and with a clear focus on business problems and have an entrepreneurial and pragmatic mindset
* Experience with continuous integration and validation environment (CI/CE) and Git
* Previous experience in Machine learning modeling for Engineering applications would be a plus
* Previous experience with front end and database development would be a plus
* Previous experience on CFD & FEM would be a plus
* Previous experience on High Performance Computing and Linux server administration would be a plus
* Strong desire to work, learn and grow as part of a digitalization and technology team
Not a 100% match? No worries! Airbus supports your personal growth with customized development solutions.
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 Defence and Space GmbH
**Employment Type:**
Permanent
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**Experience Level:**
Professional
**Job Family:**
Flight & Space Physics <JF-EN-EE>
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.