Research Scientist: Computational & Applied Mathematics
Organisation Name: Siemens Corporation
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Job Description:
Job Description Right now, we’re powering a whole country, finding ways to prevent malaria, making cities smarter, developing renewable energy, designing 3D robots, transporting people at 250 mph and helping NASA explore Mars. Our experience has shown that key technology components coming from areas like AI, analytics, IOT, Cyber-Security, additive manufacturing and materials science are extremely relevant for such innovations. Our central research and development unit, Corporate Technology (CT) plays an important role in this as 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 Predictive Analytics group within Business Analytics and Monitoring (BAM) Technology Field of Siemens Corporate Technology (CT) is seeking a Research Scientist for our Princeton, NJ location with focus on Computation and Applied Mathematical techniques for Industrial Artificial Intelligence. As a Research Scientist, you will be part of a multidisciplinary team that is excited to tackle industrial challenges using techniques from Statistical Learning, Mathematical Optimization, Systems Science. What will be my responsibilities? • Develop ideas and technologies at the intersection of End 2 End Learning and Systems Modelling. • Develop proof of concept and prototypes addressing Siemens industrial applications • Extend Siemens brand value by publishing in high impact conferences and journals and through patent development • Collaborate with peers and external academic partners to secure government grants in relevant domains. • Develop and maintain relationships with key universities and institutes to expand technology portfolio and jointly pursue public funding opportunities. What skills are needed to qualify? • PhD from a reputed organization in Computational and Applied Mathematics, Statistics, Operations Research, Computer Science, Electrical Engineering, and Mechanical Engineering, • Demonstrable research and innovation track record (peer-reviewed publications, research monographs etc.) • Proven knowledge of AI/ML toolsets (PyTorch, Tensorflow etc.) • Proven development skills in Python or Java/C++ • Excellent interpersonal and communication skills • Ability to multitask and anticipate project needs • Ability to work with controlled technology in accordance with US export control law Additional Preferred skills/experience: • Using machine learning for infinite dimensional physical systems • Knowledge of Optimization & Control Theory • Experience in simulation techniques 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 http://www.bis.doc.gov/index.php/policy-guidance/deemed-exports/deemed-exports-faqs?view=category&id=33#subcat34
