Senior Research Scientist

Location
Saint Paul, Minnesota (US)
Posted
Aug 30, 2018
Closes
Sep 29, 2018
Ref
27663
Career Level
Experienced
Education Level
PhD
Job Type
Full-time
Relocation Cost
Negotiable

WindLogics is seeking a Senior Research Scientist as part of our energy system R&D team. As a division of NextEra Energy, we own and operate the U.S.-largest fleet of wind, solar, and storage. Energy systems are undergoing a rapid transition in generation, delivery, and control systems, both in terms of technology and customer relationships. We are at the leading edge in developing and dispatching a new breed of integrated resource solutions to utilities, cities and municipalities, and commercial and industrial entities; optimized to deliver benefits (savings, reliability, and reduced greenhouse gas emissions) tailored to the customer’s needs. We look at the inherent complexity of the energy system as an opportunity for those with the ability to envision new business models, backed up by the scientific and mathematical capabilities needed to execute on the vision.
o The position is with the Science team in support of energy systems innovation. The person will participate in and lead small teams engaged in applied research; working on challenging, complex problems in a business setting.
o The person will design and prototype algorithmic solutions to energy related scientific and engineering problems
o The position will advise the Chief Scientist as well as WindLogics and NextEra management on research topics, analytical results, and scientific and energy industry advances.  Excellent verbal and written communication skills are required.

Qualifications:
- Masters in Physics or related physical science - Required.
- PhD in Physics or related physical science – Preferred.
o Background in detailed analysis of complex systems involving large datasets, guided by physically-based conceptual models
o Use of appropriate programming and scripting languages (R, Python, Julia, Fortran, etc.)
o Innate curiosity about nearly everything
o Ability to abstract a problem in such a way as to enable “cross-pollination” utilizing concepts and techniques from other fields

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