Role To support the process improvement in metallurgical process industries. It focuses on developing control logic, data modelling, testing and implementing process control algorithms.
Key Responsibilities
- Process control algorithm: Develop / Design process control logic / algorithm, simulate and optimize control logic utilizing MATLAB/Simulink or Python.
- Analysis of plant utilizing data analytics tools tableau, Power BI, etc.
- Basic understanding of signal processing and industrial application.
- Deliver scientific or technical solutions to solve industrial problems.
- Preparation of research proposals, technical reports.
- Publication & presentation of research work and patent filing.
Educational Qualification
- Master’s degree from the recognized university in the following discipline: Metallurgical / Chemical / Engineering with valuable academic & professional records.
Required Technical Skills
- Control Theory: Strong grasp of basic process control theory and systems for process industry: model predictive control, DCS systems, PLC, functional block diagram, etc.
- Data Analytics: Knowledge of data analytics tools such as tableau, power BI, SQL, RX Logix, etc. Experience in statistical modeling or ML to develop models for analyzing control strategies.
- Programming: Strong coding capabilities in Python / Fortran / C and exposure to RX Logix, SQL, tableau, etc.
- Strong fundamentals on thermodynamics and proficiency in MATLAB.
- Good interpersonal, communication and presentation skills.
📌 Scientist (Navi Mumbai)
🏢 Aditya Birla Science u0026amp; Technology Company
📍 Navi Mumbai
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