We are seeking Staff Research Scientists and Senior Research Scientists to join our Autonomous Systems and Control research group in Princeton, NJ! We support Siemens businesses from the early phase of finding opportunities through designing algorithms and building prototypes for customer solutions up to validating these solutions in the field. Siemens Technology has a unique opportunity to participate in projects in all areas of power system automation, power generation, renewables integration etc., making for an exciting and challenging environment! Have a look at our projects driving sustainability and resiliency for Galapagos Island, Hawaii, the Rocky Mountains, and our R&D campus in Princeton, NJ to get an overview of Siemens’ recent developments in this area. The Challenge: This person will: Define specific technology roadmap elements for control and optimization of power systems based on advanced automatic control, optimization, and machine learning methods Implement these elements in research projects by acquiring R&D funding from Siemens’ business units and governmental funding agencies Lead and execute R&D projects to implement these roadmap elements in feasibility studies, technical specifications, prototypes, laboratory and field tests, as well as eventually into larger systems and product components. Provide guidance to junior research scientists, peers, and managers within our team and our business units Support the research group’s strategic technology, business, and people development Build a Siemens internal network to collaborate on larger, international projects Develop a network with universities, research labs, and other companies to jointly pursue governmental funding opportunities and develop a brand recognition externally Protect the results of your work through patent applications and publish protected results at conferences or in top journals. The Candidate: Qualified candidates will have/be: Ph.D. in Engineering or related fields with strong focus on automatic control and optimization for power systems required Staff Research Scientists must have 3+ years of related experience/achievements. Senior Research Scientists must have 5+ years of related experience/achievements as well as 3+ years of experience in management of R&D projects Prior experience in defining and implementing technology roadmaps Strong theoretical background and practical experience in different optimization and automatic control methods like nonlinear and mixed-integer programming, and model-predictive control, robust and nonlinear control, reinforcement learning Solid understanding and practical expertise in power system design, engineering, and operation and corresponding modelling and simulation methods and tools Good knowledge of power generation devices like wind turbines or photovoltaic plants is a plus. Proven track record developing new research demonstrated by a strong publication record and early developments to the level of a working system prototypes as well as involvement in writing funding proposals for research grants. Knowledge of tools and programming languages typically used to support design and validation of optimization and controller design, e.g. C/C++, MATLAB, Simulink. Established network with US research institutions and academia is a plus. Excellent interpersonal and communication (verbal & written) skills in English required. Capable of presenting complex technical topics in a clear and structured way, ability to moderate discussions, meetings, and projects. Flexibility and resourcefulness to work in a growing, dynamic, interdisciplinary team of specialists. This position supports a Siemens customer who requires all employees and vendors to be fully vaccinated against COVID-19 where permitted by applicable law and in accordance with an accommodation based on legally protected reasons 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/regulations/export-administration-regulations-ear 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 work powers Siemens products and is regularly featured in patents and publications. We operate in a global ecosystem focused on innovation, partnering with our customers, businesses, government agencies, and leading academic institutions on highly visible projects where collaboration is key. Our people continuously develop their talents, are curious, and are not afraid to take risks in pursuit of technological innovation. A strong learning culture empowers employees at Siemens Technology to own their growth and development. We know that diversity fuels innovation and drives business success. We are committed to creating an inclusive environment, where diversity of thought, culture, and experience is seen as our greatest strength. This is what brings our best ideas to life. 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. #LI-DM4 Organization: Technology Company: Siemens Corporation Experience Level: Experienced Professional Full / Part time: Full-time 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 unrelated to ability, marital status, family responsibilities, pregnancy, genetic information, sexual orientation, gender expression, gender identity, transgender, sex stereotyping, order of protection status, protected veteran or military status, or an unfavorable discharge from military service, and other categories protected by federal, state or local law. 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