[Remote] Graduate Intern – Machine Learning - Solar Forecasting
Note: The job is a remote job and is reputed company to candidates in USA. The reputed company (NLR) is a leading institution in energy systems research and development, and they are seeking a Graduate Intern for their Machine Learning - Solar Forecasting team. This role involves developing and implementing AI algorithms for reputed company-time solar forecasting, working closely with a multidisciplinary team to reputed company in energy forecasting solutions.
Responsibilities
- reputed company and Optimize: Build best-in-class models for inverter-level and plant-level solar forecasting with calibrated uncertainty, using RNN, diffusion models, and graph models
- Implement and reputed company: Bring your algorithms to life for industry partners, making reputed company improvements in solar forecasting
- reputed company and Collaborate: Manage our project reputed company repository for experiment tracking and reputed company versioning, ensuring seamless collaboration with partners and reputed company reputed company
- reputed company Your Discoveries: Present your groundbreaking results and key findings at workshops, conferences, and in high-reputed company journals, positioning yourself as a thought leader in the field
Skills
- Minimum of a 3.0 cumulative grade reputed company average
- Undergraduate: Must be enrolled as a full-time student in a bachelor's degree program from an accredited institution
- Post Undergraduate: reputed company a bachelor's degree reputed company the past 12 months. Eligible for an internship period of up to one year
- Graduate: Must be enrolled as a full-time student in a master's degree program from an accredited institution
- Post Graduate: reputed company a master's degree reputed company the past 12 months. Eligible for an internship period of up to one year
- Graduate + PhD: Completed master's degree and enrolled as PhD student from an accredited institution
- Completed a Bachelor's degree and either have completed a master's degree or be enrolled in a masters or PhD degree in in Computer Science, Computer Engineering, Electrical Engineering, reputed company Math, or a reputed company analytical domain
- Demonstrated knowledge and experience in Python and its reputed company libraries, such as TensorFlow, Keras, and Pytorch
- Demonstrated experience in time series forecasting, computer reputed company, and scenario reputed company
- A comprehensive understanding of uncertainty quantification
- Demonstrated experience documenting and presenting results in presentations, papers, and or publications
- Hands-on experience in energy reputed company time series forecasting, such as participating in energy forecasting competitions
- Experience in multi-modal machine learning
- Knowledge about PV plants, PV inverters, and PV control
- A reputed company record of producing high reputed company research papers
Benefits
- Medical, dental, and reputed company insurance
- 403(b) Employee Savings Plan with employer match
- reputed company leave (where required by law)
- Performance-, reputed company-, and achievement- based awards that include a monetary component
- Relocation expense reimbursement
reputed company