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Research Intern in Ai-aided Solutions for Power System Applications
2 weeks ago
**Description**
**Duration of internship**
- Preferably 4 months, to start as early as March. Dates and duration are are negotiable.
**Responsibilities**
- Perform analysis and processing of large scale and diverse types of data (e.g., timeseries, numerical, categorical etc.).
- Investigate ML models for large scale data processing and rendering fast and efficient performance.
- Run experiments in python, prepare codebase.
- Prepare technical report, presentation on work accomplished during internship.
**Minimum qualification**- Understanding of the basics of AI/ML methodologies, such as - classical and deep learning based supervised/unsupervised classification/regression and associated models.
- Good coding experience in Python and ML libraries (e.g., Pytorch, Tensorflow, Keras, Numpy, Scipy, SkLearn).
**Preferred qualification**
- Prior research experience on applied machine learning.
- Familiarity with one or more of the following: exploratory data analysis (EDA), explainable AI (XAI), representation learning.
- Graduate level knowledge on probability, statistical methods, and optimization.
- Code optimization techniques to deal with computation-heavy experiments.
- Prior experience in technology screening through literature survey.
- Prior experience in writing technical articles/reports.
- Ability to do critical and innovative thinking.
- Excellent communication skills (both written and spoken).
