Siemens Research Scientist Automatic Planning and Scheduling for Autonomous Systems in Princeton, New Jersey

Research Scientist Automatic Planning and Scheduling for Autonomous Systems

Locations:Princeton, New Jersey

Job Family: Research & Development


English (US)

Job Description

Division: Corporate Technology

Business Unit: Corporate Technology

Requisition Number: 200087

Primary Location: United States-New Jersey-Princeton

Assignment Category: Full-time regular

Experience Level: Mid level

Education Required Level: Doctorate Degree

Travel Required: 20%

Division Description:

Siemens is a global technology powerhouse that has stood for engineering excellence, innovation, quality, reliability and internationally for more than 165 years. As a global technology company, Siemens is rigorously leveraging the advantages that this setup provides. To tap business opportunities in both new and established markets, the Company is organized in nine Divisions: Power and Gas, Wind Power and Renewables, Energy Management, Building Technologies, Mobility, Digital Factory, Process Industries and Drives, Healthineers and Financial Services. Our support functions are split into two organizations, Corporate Core and Corporate Services. These organizations provide essential services to better enable responsible and profitable growth. For more information, please visit:

Job Description:

For nearly 170 years, pioneering technologies and the business models developed from them have been the foundation of Siemens‘ success. Our central research and development unit, Corporate Technology (CT) plays an important role in this. Together with its global network of experts, CT is a strategic partner to Siemens’ operative units. It provides important services along the entire value chain - from research and development to production and quality assurance, as well as optimized business processes. The support provided to the businesses in their research and development activities is ideally balanced with CT’s own future-oriented research.

The people who work at Corporate Technology are more than employees. They are actively helping to make people’s 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 you’re helping to develop products for the operating units or working in interdisciplinary projects for the business areas: At Corporate Technology you’ll be working in the heart of Siemens’ technological research.

Position Overview

We drive the development from automated systems to autonomous systems in different application areas such as advanced manufacturing in smart factories, intelligent transportation systems, robotics, and smart grid. We support our business units from the early phase of identifying opportunities through designing algorithms and building prototypes for customer solutions up to validating these solutions in the field. Our close contact to different business units enables the opportunity to participate in projects in the areas of factory automation, intelligent traffic systems, mobility, power system automation etc., making for an exciting and challenging environment.

What are my responsibilities?

• Develop innovative autonomous system concepts and solutions based on advanced automatic planning and scheduling methods, e.g. for smart factories, intelligent transportation systems, or smart grids.

• Implement these concepts and solutions in quick prototypes, feasibility studies, specifications, and eventually into larger systems and product components.

• Test and validate these solutions in laboratory and field tests.

• Identify, define, acquire and lead industrial R&D projects.

• Work with customers to understand algorithm requirements and deliver solutions.

• Protect the results of your work through patent applications and publish protected results at conferences or in top journals.

What skills are needed to qualify for this job?

• Ph. D. in Computer Science, Mathematics, Engineering, or Physics required.

• Strong theoretical and practical background in different advanced automatic planning and scheduling methods, e.g. proven through at least 3 years graduate research, fellowship or internship experience in this field.

• Proven ability to develop new research ideas as demonstrated by a strong publication record and early developments to the level of a working system prototype.

• Good knowledge of at least one of the following application domains: industry automation, traffic automation, robotics, or energy automation.

• Good knowledge of tools and languages typically used to support simulation, algorithm design, and optimization of autonomous systems (including C/C++, MATLAB, Simulink, etc.).

• Knowledge or previous involvement writing funding proposals for research grants a plus.

• Real world problem solving and a hands-on, can-do mentality.

• Excellent interpersonal and communication (verbal & written) skills in English a must.

• Flexibility and adaptability to work in a growing, dynamic, interdisciplinary team of experts.

• 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


Equal Employment Opportunity Statement

Siemens is an Equal Opportunity and Affirmative Action Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to their race, color, creed, religion, national origin, citizenship status, ancestry, sex, age, physical or mental disability, marital status, family responsibilities, pregnancy, genetic information, sexual orientation, gender expression, gender identity, transgender, sex stereotyping, protected veteran or military status, and other categories protected by federal, state or local law.

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