Posted by With over 1,900 research operatives worldwide, the Corporate Technology department occupies a special position within Siemens’ R&D facilities. It functions as an international network of expertise and as a global partner for technology and innovations. Through its R&D activities in Germany, the USA, China, India, Russia and Eastern Europe, Corporate Technology helps secure the company’s technological future and bolster its competitiveness.
Research in Digitalization & Automation (RDA) is at the heart of Siemens R&D. Its strong technology base makes it a strong in-house partner for innovation. We develop technologies with wide applicability for the Siemens Divisions and help them to successfully bring innovations to market. Our about 1,800 scientists at locations in North America, Europe, and Asia ensure the technological and innovative future of the company.
The probabilistic design team, as part of Simulation Solutions India Research Group, conducts research in advanced areas of probabilistic design, optimization and stochastic modeling. Approaches such as physics-based models, AI / ML for the accelerated simulation are also primary research topics of the group.
What are my responsibilities?
1) Independently apply probabilistic design and optimization methods on gas turbine and other Siemens products/ process, leading to improved and robust designs.
2) Independently apply statistical methods on gas turbine/ plant level sensor signals to derive domain based information and intelligence
What do I need to qualify for this job?
1) PhD or Masters in Engineering/ Applied Mathematics / Applied Mechanics with 0 to 2 years of experience in statistical processing, probabilistic design and analysis processes
2) Strong know-how in optimization and use of several algorithms for solving complex non-linear problems
3) Experience in optimization methods and their application to engineering components and systems
4) Strong know-how in design of experiments and surrogate models for representing complex non-linear problems
5) Experience in image analysis and its application to engineering knowledge management
6) Experience in interface programming, data handling, automation (e.g. C/C++, Perl, Python, R, Matlab, etc.)
7) Background in mathematical data analysis processes like statistics is a must
8) Background in ANN, machine learning algorithms desired
What else do I need to know?
1) Ability to work in global environment
2) Self-starter with good interpersonal and networking skills
3) Focus on quality and result orientation
4) Optimistic, can-do attitude
5) Excellent verbal and written communication skills
6) Make your mark in our exciting world at Siemens
This role is based in Bangalore, where you’ll get the chance to work with teams impacting entire cities, countries – and the shape of things to come.
We’re Siemens. A collection of over 379,000 minds building the future, one day at a time in over 200 countries. We’re dedicated to equality and we welcome applications that reflect the diversity of the communities we work in. All employment decisions at Siemens are based on qualifications, merit and business need. Bring your curiosity and imagination, and help us shape tomorrow.