Senior Scientist

ABB; Bengaluru; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

ABB India Corporate Research Center (INCRC) in Bangalore invites applications for a senior research role in Control and AI. You will contribute to autonomous process control projects, exploring model-based and model-free approaches, and developing prototypes for pilot evaluations.

The role emphasizes collaboration with global teams, publication and IP activity, and hands-on work in MATLAB and Python, with onsite work requirements in Bengaluru. Fluency in English is essential.

Qualifications

• Ph.D. with a strong publication and patent record and at least 7 years of experience; industrial research preferred.
• Experience developing model-based or model-free controllers like MPC, ADP, and RL.
• Knowledge of operation and control in process industries (Oil & Gas, Pulp & Paper, Metals, etc.).
• Strong knowledge of Deep Learning, RL, supervised/unsupervised learning, multivariate statistics, time-series analysis and signal processing.
• Experience applying ML for predictive maintenance, diagnosis, and monitoring.
• Proficiency in MATLAB and Python programming languages.
• Excellent English communication with internal and external partners, including academia.

Responsibilities

• Requirements gathering and identifying use cases for autonomous process plants.
• Evaluate state-of-the-art Control and AI approaches or develop new methods for identified use cases.
• Develop PoCs, prototypes, and support pilot evaluation and productization.
• Help build and manage the laboratory setup for experimental research.
• Communicate project results to technical experts and management.
• Contribute to IP creation (invention disclosures) and publications.
• Travel to customer sites and ABB locations as needed.

Skills

Deep Learning

Reinforcement Learning

Time-series analysis

Signal Processing

Multivariate statistics

Machine learning for predictive maint.

Python programming

MATLAB programming

English communication

Education

PhD in Chemical/Control/Electrical/Instrumentation/Mechanical engineering

Tools

MATLAB

Python

Job description

At ABB, we help industries run leaner and cleaner and every person here makes that happen. You'll be empowered to lead, supported to grow, and proud of the impact we create together. Join us and help run what runs the world.

This Position reports to:

R&D Department Lead

You will be a member of the ABB India Corporate Research Center (INCRC), at the ABB Innovation Center (AIC) located in Bangalore, India. INCRC researchers perform high-end research on diverse topics to develop cutting-edge technologies for ABB's global businesses to propel the organization towards a productive and sustainable future. We collaborate with other ABB corporate research centers, R&D units, and academic institutes. The position offers the opportunity to work in a dynamic, global, and creative environment, collaborating with a wide range of experience and expertise. You will work in applied research projects, developing innovative Control and Artificial Intelligence technologies toward building intelligent autonomous systems for the Industry, Transport, and Infrastructure sectors.

The work model for the role is Onsite.

Your role and responsibilities

• Requirements gathering and identification of use cases to aim towards fully autonomous process plants, and minimizing expert interventions in designing, deploying, and maintaining advanced control applications
• Evaluation of the state-of-the-art Control and Artificial Intelligence approaches and/or development of a new approach for identified use cases.
• Development of a proof of concept, prototypes, and support in pilot evaluation and productization of solutions.
• Contribute to building and managing the laboratory setup for experimental research
• Communication of project results to Technical experts and Management.
• Creation of Intellectual property (invention disclosures) and publications in scientific journals and conferences.
• Travel to customer sites and ABB locations on a need basis.

Qualifications For The Role (Mandatory)

• Ph.D. in Chemical/ Control/ Electrical/ Instrumentation/ Mechanical engineering with a strong publication and patent record, with a minimum of 7 years of experience; industrial research experience is preferred.
• Experience in the development of model-based or model-free controllers, such as Model Predictive Control, Approximate Dynamic Programming, and Reinforcement Learning
• Knowledge of operation and control in the process industry e.g., Oil and Gas, Pulp and Paper, Metals, etc, is preferred.
• Good knowledge of Deep Learning, Reinforcement Learning, Supervised and unsupervised learning, Multivariate statistics, Time-series analysis, Signal Processing, and related areas.
• Experience in the usage of Machine learning for the development of predictive maintenance, diagnosis, and monitoring solutions.
• Proficiency in Matlab and Python programming languages.
• Ability to communicate effectively in English with internal and external partners, including the academic community.

Building a cleaner, smarter future takes all kinds of minds: the curious, the courageous, and the creative. We welcome people from all backgrounds and experiences.