Job Description

We are looking for a hardworking research scientist with deep know-how and interest in Materials science, materials modeling and Data Science, who would like to join our Design and Representation System (DRS-US) Research Group of the Simulation and Digital Twin Technology Field!

We need your help to build the world's most sophisticated modeling, simulation and optimization technology stack for large scale AI-driven engineering and manufacturing toolchains! Our goal is to model how engineers and scientists understand and tackle the most complex design challenges by studying how the details of the materials used in the design of a part and its manufacturing process, impact the parts final properties.

The Challenge

In this role, you will:

* Contribute to the development of Materials modeling techniques within the team for design and optimization of industrial systems and processes
* Maintain and grow the existing network with academia and research community
* Identify, evaluate and implement new Materials modeling techniques (including but not limited to molecular modeling, meso scale modeling, Machine learning and AI) in collaboration with technology startups, leading academic institutions and government agencies
* Communicate sophisticated ideas and testing results effectively, both orally and in writing, and provide recommendations and support to internal engineering teams through accurate and effective written documentation
* Seek advocacy from Siemens business units on potential use cases, while educating and transferring technologies back to Siemens businesses for product implementations.
* Collaborate with others, both within and outside Siemens, to develop successful research proposals for external funding that align with Siemens strategic direction

The Candidate

Qualified candidates will have:

* Masters required in physics, chemistry, material science or equivalent. PhD preferred.
* 2+ years of related experience, with a well-established research track record as proven by publication
* Outstanding coding skills ability to write high quality code.
* In-depth knowledge of machine learning algorithms and ability to apply them in material science & chemistry, especially for soft materials (Polymers, formulations, Thermoset and thermoplastic composite).
* Familiarity with Molecular modeling tools and packages like Culgi, Schrdinger, Material Studio, MAPS and/or their open sources counterparts would be a plus.
* Good communication and organization skills, with a logical approach to problem solving, good time management and task prioritization skills, with motivation to learn and use new technologies, work under uncertainty at fast pace, and ability to multitask and make key contributions to several projects

Successful candidate must be able to work with controlled technology in accordance with US Export Control Law. US Export Control laws and applicable regulations govern the distribution of strategically important technology, services and information to foreign nationals and foreign countries. Siemens may require candidates under consideration for employment opportunities to submit information regarding citizenship status to allow the organization to comply with specific US Export Control laws and regulations. Additional information on the US Export Control laws & regulations can be found on https://www.bis.doc.gov/index.php/policy-guidance/deemed-exports/deemed-exports-faqs

About Us

Siemens Technology employees are passionate about applied research. We create technology with purpose that benefits society - more agile and productive factories, more intelligent and efficient buildings and grids, more reliable and sustainable transportation. Our research powers Siemens products and is regularly featured in patents and publications. We operate in the Siemens Innovation Ecosystem, partnering with our businesses on highly visible projects where collaboration is key.

Our people continuously develop their talents, are curious, eager to learn, and not afraid to fail. Employees at Siemens Technology are empowered to own their growth and development. With over 30 countries represented across our workforce in the US, diversity of thought and experiences are key to our success.

We take pride in bringing our best selves to work every day, prioritizing individual health, work-life blend, and flexibility.

At Siemens Technology, the success of our employees drives our success.

Join Us

We are more than employees; we are actively helping to make peoples lives a little better every day. Would you like to be a part of that? Then join us. We offer you a high level of practical relevance as well as an opportunity to individually contribute your knowledge and your visions around the world. Whether youre helping to develop products for the operating units or working in interdisciplinary projects for the business areas: At Technology youll be working in the heart of Siemens technological research together with the best.

At Siemens we are always challenging ourselves to build a better future. We need the most innovative and diverse Digital Minds to develop tomorrows reality. Find out more about the Digital world of Siemens here: www.siemens.com/careers/digitalminds

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Organization: Technology

Company: Siemens Corporation

Experience Level: Experienced Professional

Job Type: Full-time

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