Research Scientist

Under the direction of Dr. Tsampikos Kottos, the Research Scientist will be working on the research effort on “AI-Guided Self-Organization: Tailoring Disorder to Shape Complex Nonlinear Dynamics”. The project aims to combine modern machine learning with physical insight and high-throughput automated experiments to enable unprecedented AI-assisted design and control of complex self-organization. Guided by studies with universal physical models, the effort will develop new techniques for physics-guided inverse design and control. The theoretical activity will be complemented with experimental proof-of-principle concepts using networks of electronic oscillators. These will function as a training and testing ground to enable universal techniques for AI-based design and control of complex systems. Responsibilities include: Supervise graduate and undergraduate students Manuscript preparation and editing and conference presentations Assisting in grant preparation and grant applications Other duties as assigned This is an on-campus position and the position is approved for two years with the potential to extend another year. Minimum Qualifications: PhD in Physics, Applied Mathematics, Electrical or Mechanical Engineering or related field. Knowledge of theory of metamaterials. Knowledge of coupled mode theory. Knowledge of nonlinear dynamics. Knowledge of machine learning. Preferred Qualifications: Experience in developing proof-of-principle RF and microwave experimental platforms that allow validation of the theoretical concepts. Demonstrated commitment to work within a diverse environment and interact openly with individuals of different backgrounds. Position is open until filled. As part of your application, please upload a cover letter and resume. Compensation: $61,300.00 - $66,800.00 Work Location: On Campus

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