Research Intern

16 hours ago

Bengaluru Karnataka, India ABB Full time

At ABB, we help industries outrun - leaner and cleaner. Here, progress is an expectation - for you, your team, and the world. As a global market leader, we’ll give you what you need to make it happen. It won’t always be easy, growing takes grit. But at ABB, you’ll never run alone. Run what runs the world.

This Position reports to:
R&D Department Lead
**Your role and responsibilities**:
In this role, you will have the opportunity to explore emerging technologies, creates intellectual property, and strengthens existing and future ABB offerings. We also provide R&D consultancy services to ABB Divisions and reap the benefits of open innovation by collaborating with Universities and startup companies. You will work in dynamic and creative teams, with a wide range of experience and expertise, carrying out applied research projects developing software engineering techniques to build intelligent systems for process industries.

The work model for the role is Hybrid. #LI-Hybrid

This role contributes to the India Corporate Research Center (INCRC), located in Bangalore.

**You will be accountable for**:

- Assisting research scientists in researching, developing, testing, and optimizing ML models for industrial automation i.e. working with sensor data, time series, and process logs for preprocessing, feature engineering, and model experimentation.
- Build and test AI prototypes using Python, TensorFlow/PyTorch, and industrial AI tools, evaluating model performance on industrial benchmarks, simulations, and real-world data, while optimizing for GPU efficiency, distributed training, and MLOps workflows.
- Collaborate with domain experts to define AI-driven solutions for industrial process challenges, supporting use case exploration, requirement gathering, and feasibility analysis.
- Assess AI models using key industrial metrics (accuracy, robustness, explainability, scalability), develop visual dashboards, support pilot projects and AI integration into industrial automation systems.
- Contribute to knowledge sharing, technical documentation, reports, and research publications.

**Qualifications for the role**:

- Pursuing a full time Master’s or Ph.D. in Computer Science, Electrical Engineering, Mechanical Engineering, Chemical Engineering, Data Science, or a related field, as a bona fide student, during the entire tenure of internship and with a no objection certificate from the placement center of the Institute.
- Programming: Proficiency in Python, TensorFlow/PyTorch, and Scikit-learn for ML development.
- Understanding of supervised/unsupervised learning, time series analysis, deep learning (including foundation models) and reinforcement learning. Understanding of statistics including hypothesis testing, confidence intervals etc.
- Understanding of time-series foundation models is advantageous.
- Should have ability to collaborate and communicate effectively in English with internal and external partners.

**What's in it for you**:
We empower you to take initiative, challenge ideas, and lead with confidence. You’ll grow through meaningful work, continuous learning, and support that’s tailored to your goals. Every idea you share and every action you take contributes to something bigger.

**More about us**:
ABBCareers #RunwithABB #Runwhatrunstheworld

We never ask for money from job applicants.

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