Staff Research Engineer - Control Systems

Cytiva

10 - 15 years

7 - 11 Lacs

bengaluru

Posted:1 day ago| Platform:

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Skills Required

automation simulation plc process control instrumentation labview simulink matlab scada python

Work Mode

Work from Office

Job Type

Full Time

Job Description

What You Will Do

Develop and implement advanced control algorithms (PID, MPC, adaptive control) for bioprocess applications.
Design feedback and feedforward control loops for process stability and performance.
Integrate control systems with PAT instrumentation and data analytics platforms.
Leverage dynamic models and digital twins for process control and optimization.
Apply multivariate analysis and chemometrics for real-time decision-making.
Configure and program PLCs, DCS, and embedded controllers for experimental setups.
Ensure seamless integration with industrial communication protocols (Ethernet/IP, OPC-UA, Modbus).
Develop robust testing protocols for control system reliability and compliance.
Validate control strategies under varying process conditions.
Work closely with electronics, instrumentation, and data science teams.
Contribute to patents, publications, and technology demonstrations.

Who You Are

Master s or Ph.D. in Control Systems, Electrical Engineering, Chemical Engineering, or related field.
10+ years of experience in control system design and implementation.
Strong knowledge of control theory (PID, MPC, adaptive control), proficiency in PLC programming, SCADA systems, LabView, industrial communication protocols and debugging with JTAG.
Strong proficiency in MATLAB/Simulink, Python, or similar tools for modeling and simulation.
Experience with PLC/DCS programming, real-time systems, and industrial automation standards.
Knowledge of process control theory, multivariate analysis, and signal processing.
Preferred:
- Experience in bioprocess control or life sciences automation.
- Familiarity with IoT frameworks, edge computing, and cloud-based control architectures.
- Exposure to machine learning for predictive control.

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