AI & Electrical Engineering Intern (Bali)
Location: Bali Indonesia (On-site only)
Compensation: Unpaid Internship Role Overview
Work at the cutting edge of sustainable technology on AI-integrated energy systems with a primary focus on predictive maintenance smart grid optimization and the seamless integration of renewable energy sources within EX Ventures diverse portfolio of sustainability projects. This role is ideally suited for a driven and ambitious engineering student with a profound passion for renewable energy and a strong demonstrable interest in the practical application of AI to solve complex real-world problems. You will be an integral part of a multidisciplinary team that is pioneering innovative solutions to some of the worlds most pressing energy challenges using the power of AI to architect a more sustainable efficient and resilient energy future for generations to come.
What Youll Do
- Design build and deploy sophisticated machine learning models that optimize power flow and energy storage in a variety of settings from localized microgrids to utility-scale renewable energy projects.
- Apply and refine predictive algorithms to accurately forecast energy consumption patterns and proactively detect anomalies within the grid thereby improving grid stability minimizing energy waste and enhancing overall efficiency.
- Utilize a combination of computer vision and advanced sensor analytics for comprehensive equipment diagnostics enabling a predictive maintenance strategy that significantly reduces downtime and extends the lifespan of critical energy infrastructure.
- Collaborate intensively with teams that are developing and deploying AI-controlled waste-to-energy systems contributing to the transformation of waste streams into a valuable and sustainable energy resource.
- Conduct in-depth research and lead the implementation of cutting-edge AI techniques for energy optimization including but not limited to reinforcement learning deep learning and federated learning.
- Analyze large datasets from our energy systems to identify opportunities for further optimization and efficiency gains.
Learning Outcomes
Learn to seamlessly merge the principles of AI and electrical engineering to design build and optimize real-world energy infrastructure and complex sustainability systems making a tangible and lasting impact.
Internship Experience
- Work hours: Flexible between AM PM (local time)
- Relocation: Mandatory to Bali Indonesia
- Remote options: None
- Housing: Options available upon request
Important Note:
This is an unpaid internship. EX Venture does not cover accommodation flights or visas. What we offer is direct hands-on exposure to AI-driven innovation across a wide range of real-world business environments.
Youll leave with more than just technical skills youll leave with the vision the experience and the network to lead the AI transformation in your chosen field.
AI & Electrical Engineering Intern (Bali)Location: Bali Indonesia (On-site only)Compensation: Unpaid Internship Role OverviewWork at the cutting edge of sustainable technology on AI-integrated energy systems with a primary focus on predictive maintenance smart grid optimization and the seamless inte...
AI & Electrical Engineering Intern (Bali)
Location: Bali Indonesia (On-site only)
Compensation: Unpaid Internship Role Overview
Work at the cutting edge of sustainable technology on AI-integrated energy systems with a primary focus on predictive maintenance smart grid optimization and the seamless integration of renewable energy sources within EX Ventures diverse portfolio of sustainability projects. This role is ideally suited for a driven and ambitious engineering student with a profound passion for renewable energy and a strong demonstrable interest in the practical application of AI to solve complex real-world problems. You will be an integral part of a multidisciplinary team that is pioneering innovative solutions to some of the worlds most pressing energy challenges using the power of AI to architect a more sustainable efficient and resilient energy future for generations to come.
What Youll Do
- Design build and deploy sophisticated machine learning models that optimize power flow and energy storage in a variety of settings from localized microgrids to utility-scale renewable energy projects.
- Apply and refine predictive algorithms to accurately forecast energy consumption patterns and proactively detect anomalies within the grid thereby improving grid stability minimizing energy waste and enhancing overall efficiency.
- Utilize a combination of computer vision and advanced sensor analytics for comprehensive equipment diagnostics enabling a predictive maintenance strategy that significantly reduces downtime and extends the lifespan of critical energy infrastructure.
- Collaborate intensively with teams that are developing and deploying AI-controlled waste-to-energy systems contributing to the transformation of waste streams into a valuable and sustainable energy resource.
- Conduct in-depth research and lead the implementation of cutting-edge AI techniques for energy optimization including but not limited to reinforcement learning deep learning and federated learning.
- Analyze large datasets from our energy systems to identify opportunities for further optimization and efficiency gains.
Learning Outcomes
Learn to seamlessly merge the principles of AI and electrical engineering to design build and optimize real-world energy infrastructure and complex sustainability systems making a tangible and lasting impact.
Internship Experience
- Work hours: Flexible between AM PM (local time)
- Relocation: Mandatory to Bali Indonesia
- Remote options: None
- Housing: Options available upon request
Important Note:
This is an unpaid internship. EX Venture does not cover accommodation flights or visas. What we offer is direct hands-on exposure to AI-driven innovation across a wide range of real-world business environments.
Youll leave with more than just technical skills youll leave with the vision the experience and the network to lead the AI transformation in your chosen field.
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