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Amrita Vishwa Vidyapeetham

Postdoctoral Fellowship in Applied Control Engineering and Intelligent Automation Amrita Vishwa Vidyapeetham in India

Degree Level

Postdoc

Field of study

Computer Science

Funding

Available

Deadline

Dec 31, 2026

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Country

India

University

Amrita Vishwa Vidyapeetham

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Keywords

Computer Science
Mechanical Engineering
Electrical Engineering
Artificial Intelligence
Automation
Robotics
Autonomous System
Mechatronics
Cyber-physical System

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About this position

Amrita Vishwa Vidyapeetham is inviting applications for a Postdoctoral Fellowship in Applied Control Engineering and Intelligent Automation at its Coimbatore Campus, Department of Electrical and Electronics Engineering.

The position is research-focused and centered on control engineering, automation, mechatronics, robotics, and AI-enabled intelligent systems. The fellow will work on topics such as process control design and optimization, autonomous systems control (including UAVs and robotics), intelligent control techniques, data-driven and learning-based control, and networked/cyber-physical control systems.

Eligibility highlights include a PhD in Electrical Engineering, Control Engineering, Automation, Mechatronics, Robotics, AI-related engineering disciplines, or a closely related field. Candidates who have recently completed their PhD or have already submitted their thesis may also apply. The post also asks for strong theoretical and practical grounding in classical and modern control systems, publication potential, experience with real-world industrial or cyber-physical applications, and proficiency in MATLAB/Simulink/ROS.

This is a research job rather than a scholarship. The post does not mention stipend or funding details. The application deadline is 31 December 2026.

Interested candidates should apply via the job page and may contact [email protected] or Dr. P. Arun Mozhi Devan at [email protected] for details.

Funding details

Available

What's required

Applicants should have an M.E./M.Tech. and a PhD in Electrical Engineering, Control Engineering, Automation, Mechatronics, Robotics, AI-related engineering disciplines, or a closely related field. Candidates who have recently completed their PhD or have already submitted their thesis may also apply. Strong theoretical and practical background in classical and modern control systems is required, including system modelling, stability analysis, controller design, and performance evaluation for linear and non-linear systems. Preferred experience includes a strong publication record or demonstrated potential to publish in high-impact international journals, research experience in process control or autonomous systems, proficiency in MATLAB/Simulink/ROS, simulation-based research under uncertainty, and ability to work independently and collaboratively in a research-intensive environment.

How to apply

Apply through the job page using the Apply Now link. For queries, contact [email protected] or Dr. P. Arun Mozhi Devan at [email protected].

More information can be found here

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