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You will be updated with latest job alerts via emailRoles & Responsibilities :
The focus is set on developing advanced algorithms and strategies for control of realtime distributed systems. In this role youll leverage your expertise in numerical methods simulation Machine learning & Artificial Intelligence to model and simulate realtime distributed applications connecting multiple embedded edge and cloud devices and synthesize control functions for them.
Build physics or AI/ML based surrogate models for the distributed systems of interest and quantify and propagate parameter and timing uncertainties through the system in simulation
Synthesize control functions with good quality of control that are tolerant of delays and other parameter uncertainties using physics based or AI/ML based techniques as per requirements
Youll work in international teams and perform necessary research development/implementation to accomplish the tasks.
Further Publish research findings in reputable journals and conferences.
Qualifications :
Educational qualification:
MS/ from top Indian institutes in the field of Electronics and Communication Engg Electrical Engg Mechanical Engg Mechatronics Engg AeroSpace Engg Computer Science Engg from top international institutes with good academic track record.
Experience :
3
Mandatory/requires Skills :
Solid engineering background with proficiency in Mathematics.
Good knowledge Ordinary and Partial Differential equations.
Sound knowledge of numerical methods for modelling and simulation.
Sound understanding of Linear algebra Matrix theory.
Knowledge of control theory
Excellent programming skills in python.
Excellent presentation and communication skills.
Preferred Skills :
Experience with simulation tools: Matlab Simulink CC will be added advantage.
Knowledge of modern control theory
Familiarity with high performance computing will be added advantage.
Remote Work :
No
Employment Type :
Fulltime
Full-time