Responsibilities:
● Capture and document descriptive models of economic systems from white-papers, conference calls and in person meets and characterize as formal goals
● Extend formal models with complete notation, assumptions and characterize analytically the immediate consequences of these definitions and assumptions
● Propose and Evaluate incentive mechanisms to align local agent goals with system level goals
● Create simulation tools for dynamical systems representing the evolution of economic systems at various level detail from agent based to macro-economic
● Use simulation tools to run repeated stochastic process driven numerical experiments fora wide range of environmental conditions and behavioral assumptions
● Use data analysis tools to evaluate experimental results and make recommendations regarding the assumptions and conditions under which a particular set of incentives will be adequate to achieve the stated goal of the economic system
● Use data analysis tools to evaluate data collected directly from economic networks to verify that the intended dynamics are emerging, and to recommend tuning system parameters as needed
● Support in the design and development of economic health indicators and operational analytics
● Provide reports and/or requirements documents to stakeholders
Preferred Qualifications:
● M
S
or higher in Engineering, Robotics, Operations Research, Economics or related field
● Masters Level Course work in Optimization and/or Decision Science
● 4+ years research experience in Industry or Academia●Advanced Numerical Computing skills (Matlab, Python, R)
● Advanced Mathematical Analysis skills (ability to write formal proofs)
● Proficient with a scripting language
● Proficient with data manipulation and visualization
● Proficient with LaTeX mathematical typesetting language
● Good presentation and communication skills—visual and verbal
● Ability work with a heterogeneous team to achieve a common goal