PhD Position, Industrial Data Science for Aviation (m/f)
Posted 11/23/2017 10:49:00 AM
Business Segment: Aviation Engineering
Location(s): Germany; Garching
About Us: GE is the world's Digital Industrial Company, transforming industry with software-defined machines and solutions that are connected, responsive and predictive. Through our people, leadership development, services, technology and scale, GE delivers better outcomes for global customers by speaking the language of industry. GE Aviation, a division of GE's Technology Infrastructure business, is a world-leading producer of commercial jet engines and components as well as integrated digital, electric power, and mechanical systems for aircraft with an extensive global service network to support these products. Technological excellence, supported by continuing substantial investments in research and development, has been the foundation of GE Aviation's growth and helps to ensure quality products for customers. GE Aviation is increasing our presence in Europe, and now is the time to join the technology team at our Munich, Germany location. For more than 125 years, GE has been respected for its performance and innovative spirit. GE people worldwide are dedicated to turning imaginative ideas into leading products and services that help solve some of the world's toughest problems. We are expanding our technology development team to meet the growing demand for new and innovative products. As a member of the technology team, you will cooperate with GE Aviation worldwide and apply your expertise to the design and development of the next generation of aircraft engines and components. Learn more about GE Aviation today!
Role Summary: The Marie Sklodowska Curie Innovative Training Network MAGISTER is a multi-disciplinary project providing research training in several technical areas e.g. data science, machine learning, etc. for aircraft engines. The research objective of MAGISTER is to predict & control accurately the combustion dynamics in an aircraft engine over the full range of technology readiness levels, by means of the application of machine learning on CFD simulations, laboratory experiments and full engine data.
Two research positions focusing on data science and combustion in aircraft engines are available at GE Aviation. The positions are limited to the 3 years of the PhD program with a salary in accordance to the Horizon 2020 Marie Sklodowska Curie guidelines.
As part of that you will:
Focus on High Performance Computing within the Cloud environment
Select, validate and merge complementary data driven and physical models
Formulate and implement plans to achieve technical requirements, schedules and contract commitments
Develop novel dynamic high-fidelity data visualization methods on various media
Develop advanced User Experience (UX) concepts and implement for data science decision support
Interact with co-workers within GE Aviation Digital and Combustion Engineering communities, the MAGISTER project partners and the academic community to establish best practices and technical achievements
Monitor and communicate project status, business issues and significant developments
Participate as a presenter in technical and program reviews
Master’s degree in Informatics, Engineering and Mathematics or equivalent
Excellence in data science, machine learning and data visualization
Demonstrated excellent command in one or more programming language (such as GO, Node.js, Python, Ruby, R or similar)
Demonstrated process orientation in approach to work with open, collaborative and innovative mindset
Excellent communication and influencing skills with the ability to communicate at a variety of levels, from detailed design reviews to high-level leadership reviews
Eligible to Horizon 2020 Guidelines by not having performed the main activity in Germany for more than 12 months of the 36 months before starting the position
Eligible to Horizon 2020 Guidelines by being in the first four years (full-time equivalent) of the research career, starting from the date of obtaining the degree which would formally entitle to embark a PhD study
Fluency in English
Knowledge and expertise of aviation, aircraft engine design and combustion fundamentals
Effective in contributing in a cross-functional teamwork environment Strong interpersonal and leadership skills
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