Project Assistant: Essential: First Class (Min 60% or 6.5 CGPA) in B.E. / M.E / M.Tech. Engineering / Technology with strong knowledge in Control systems, Machine learning, MATLAB, Python, Simulink, Data analytics, Technical report writing. Desirable: Strong Knowledge in Digital Twin modeling, knowledge of Membrane Bioreactor (MBR) systems, and understanding of Predictive Control / Model Predictive Control (MPC). Applicants should have hands-on experience in Python for Machine learning and Data Analytics and proficiency in MATLAB/Simulink, along with familiarity with IoT-based data acquisition and real-time monitoring.

Shortlisting Interview