Cape Town, South Africa

Machine Learning Specialist to Support Renewable Energy in Africa

Support Affordable and Clean Energy

Skills Needed

  • Data Analysis
  • Data Science
  • Engineering

Estimated workload

Full-time

Role

Project Execution (Typically 1 - 6 months)

Language Proficiencies

You must be able to speak English.

When Can You Start?

You can start Flexible

Benefits

Accommodation

Travel Stipend

In Partnership With

echoinggreenlogo

Project Details


Description and Impact

African cities face the world’s most expensive and unreliable energy services. And these are getting progressively worse as rapid urbanization and climate change place our weak infrastructure under increasing strain. In developed countries, increasing penetration of cheap but intermittent renewable energy is upending utilities’ business models and threatening the reliability of electricity grids.

Our organization aims to address both of these issues by adding intelligence to an appliance that is already in many homes: the electric water heater. By optimizing each water heater around its homes behaviour, we can significantly reduce electricity bills. By timing when it heats based on when electricity on the grid is more abundant, we can help avoid blackouts and utilize renewable energy when it is available.

Data science plays a key role in the development and design of our product. Using data and insights from our existing fleet of internet-connected devices, our advanced custom simulation rig and our extensive research, the Machine Learning Specialist will create a powerful model to predict the thermodynamic characteristics of hot water systems.

We have several data science and machine learning problems which we are tackling. If the above does not appeal to you, but you are a highly proficient machine learning specialist, please reach out for further details.

Requirements:

  • Strong statistical and / or mathematical foundation, for example with a degree towards Engineering, Applied Mathematics, Statistics, Computer Science or Data Science
  • Proficient in Python and machine learning
  • Analytical, structured thinker who is able to communicate concisely
  • Foundational knowledge of thermodynamics and electronics is a plus

Deliverables

  • Comparative analysis of various techniques for modelling the thermodynamic characteristics of hot water systems
  • Integration of preferred model into our system

We Provide These Local Benefits


Benefits Overview

  • Accommodations
  • Travel Stipend

Accommodation

To be determined with the selected candidate

Travel Stipend

Round trip flights to Cape Town, South Africa

Virtual

This project accepts applications for virtual experteers.

Ask a question about this project