Job Description

The candidate will develop probabilistic/ optimization methods for better life evaluation and improved risk assessments based on the current component design/analysis of a gas turbine.

Responsibilities:

- Development, application, and validation of methods and programs for probabilistic assessments and optimization in gas turbine component design

- Structural analysis and life evaluation for gas turbine components

- Application of numerical methods and optimization algorithms in gas turbine engineering

- Work in interdisciplinary teams to apply and improve probabilistic methods in the development process of turbomachinery components

- Documentation and presentation of methods, processes, and project results

Skills & Qualifications:

- Master degree and above in physics, mechanical engineering, engineering mechanics, or equivalent

- 5+ years’ experience in R&D team

- Proven record in innovative thinking and problem solving;

- Knowledge of method of optimization/ probabilistic/ uncertainty qualification;

- Good communication skills, fluent in both Chinese and English, cross-cultural understanding

- Good knowledge in statistics (uncertainty quantification, time series analysis, maximum likelihood estimation, random fields, failure analysis)

- Basic knowledge in gas turbine engineering

- Solid knowledge in numerical and optimization methods (deterministic, stochastic and multi-objective)

- Good skills in Linux and shell ｓｃｒｉｐｔing, as well as object-oriented programming (C++, Java, Perl, Python)

Plus:

- Rich working experience in structural/thermal FEA analysis, lifing calculation, such as low cycle fatigue, facture mechanics;

- Excellent in Ansys/ Abaqus/ NX and related FEA ｓｃｒｉｐｔing;

Contact

dong-wang@siemens.com