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Lead Research Engineer – Scientific computing and Optimization

Job Description

Introduction: For nearly 170 years, ground-breaking technologies, and business models built upon these technologies, have been the cornerstone of our success – innovations that, by their very nature, do not simply offer new ideas but actually set new market standards for products, solutions, and services. Innovations are what allowed our company to expand from a start-up in a Berlin courtyard to a leading-edge global enterprise, and innovations are the ingredients of a successful future – for our company, for our customers, and for society.

Technology (T), as Siemens’ central research and development arm, has a critical role to play here. Under the leadership of the Chief Technology Officer and in partnership with the operating units, T develops Siemens’ technology and innovation strategy, creates, and industrializes basic technologies, promotes business excellence through consulting and engineering services, and protects the company’s intellectual property. Technology is both a creative driver of disruptive innovations and a partner to the Siemens businesses, offering them high quality research, development, and consulting services.

Responsibilities:

• Implement advance methodologies available in  statistical Inference, Machine Learning and Data Science fields for simulation, analysis and optimization of various Siemens components and Systems.

• Understand the underlying Mathematics / Statistics in various ML algorithms and code them using standard languages for their application 

• Strong competence and hands-on experience in the analysis of time series data

• Exposure to finite element analysis, component life analysis involving fatigue, creep and fracture is an added advantage.

• Exposure to probabilistic design and advanced probabilistic analytics, Bayesian statistics are good to have.

• Build ‘Proof of Concept’ (PoC) applications using suitable in-house & 3rd party tools & technologies

• Collaborate, research, and publish findings at various internal and external forums

• Interface with Siemens internal customers and provide Machine learning / AI / based solutions for their needs

• Exhibit the sense of urgency and work closely with the team members

Technical Expertise Needed:

• Exposure to statistical and probabilistic analysis

• Domain experience in TWO of the following is necessary: Mechanical design, Simulation, Optimization, Surrogate models, Bayesian probabilities

• An ideal candidate will have keen interest and solid skills in Machine learning, Data science, Image Processing and Time Series Data Analysis 

• Strong background in understanding & implementation of deep & reinforced learning algorithms/frameworks. 

• Intuition and ability to develop Machine Learning algorithms / Statistical methods through out-of-the-box thinking

• Excellent programming skills in Python/C/C++/R/Any object-oriented languages are essential. 

• Experience in implementing deep neural networks using PyTorch , TensorFlow,  Caffe.

• Qualifications: Ph.D. or Master Degree in Computer Science/ Mathematics / Mechanical / Aerospace Engineering / Electrical/Electronics and Communication 

• Demonstrated relevant industrial work experience of 5 – 8 years

• Technical papers at prestigious conferences and journals 

Additional requirements:

• Excellent communication skills in English

• Self-motivated and independent, but also comfortable with team-work.

• International R&D exposure will be a plus

• Focus on quality and result orientation

• Optimistic, can-do attitude

Make your mark in our exciting world at Siemens.

This role is based in Bangalore. You’ll also get to visit other locations in India and beyond, so you’ll need to go where this journey takes you. In return, 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 encourage applications that reflect the diversity of the communities we work in. At Siemens we are always challenging ourselves to build a better future. We need the most innovative and diverse Digital Minds to develop tomorrow‘s reality.

Find out more about the Digital world of Siemens here: www.siemens.com/careers/digitalminds



Organization: Technology

Company: Siemens Technology and Services Private Limited

Experience Level: Experienced Professional

Job Type: Full-time

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