Company
3E is a leading technology and SaaS company providing digital solutions and expert services that maximise the performance of renewable energy assets. As a trusted data services partner, we deliver future-proof and easy-to-deploy solutions over a project’s entire lifetime, supporting developers, asset managers, operators, investors, EPC contractors and IPP's.
3E's one-stop digital platform SynaptiQ provides a complete range of leading SaaS solutions for development, operational asset management and analytics. In addition, 3E supplies various expert services for engineering, technical and strategic decision support.
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3E has a proven track record spanning more than 20 years across 60 countries. It operates an international team of 100+ experts from its headquarters in Brussels and offices in Barcelona, Paris, Toulouse, Cape Town and Chennai.
Strengthened by partnerships with universities and industry pioneers, 3E continues to explore innovations and new developments in renewable energy and digitalisation, striving to provide the industry’s most advanced energy intelligence and AI-based solutions.
Function
3E has developed its own wind and solar resource modelling solutions that are used in both the development and operational stages of a solar or wind project.
We are now looking for a motivated intern to support the innovation team in improving the validation framework of those wind and solar resource data.
This will be first achieved by adding available solar and/or wind measurements to our internal database and standardize them for a proper usage in the validation framework. The next stage of improvement will be the implementation of a smart site classification in order to validate the wind and solar resource data according to the complexity of the site.
You will be part of 3E’s innovation team and will have full support and guidance from experienced researchers. The main tasks will include:
- Adding publicly available research measurements with a focus on complex sites to internal validation sites database
- Quantifying the site complexity in terms of roughness and orography
- Linking the model errors with the site complexity in a smart site classification framework
- Supporting the development of the validation framework in Python (data processing, metrics calculation, data visualisation & reporting, etc.)
- Collaborating with leading research institutes in impactful national & European projects
- Contributing to the development of innovative wind resource modelling solutions
Profile
Our ideal candidate is solution-oriented and practical as well as end-to-end minded. You are curious and eager to learn quickly, and able to work both in a team and autonomously.
Of course, there are some non-negotiables:
- You hold a Master (or are currently enrolled in your Master studies) in Geography, Earth Sciences, Atmospheric Sciences, Engineering or similar
- You master standard Python ecosystem for data science: Pandas, Numpy, Scipy, Xarray, Matplotlib, Seaborn, Bokeh, Plotly, etc.
- You are fluent in English (oral and written)
- You are interested in the sector of renewable energy
Bonus points for:
- Knowledge of atmospheric modelling / meteorology / wind energy
- Knowledge of Git, Gitlab or similar development organizational tools
- Familiar with meteorological time series
- Interest in data science
Offer
Our offices are hidden in the centre of Brussels with a view on a pond, with ducks and a heron bringing a regular visit. In addition to a stimulating atmosphere in a highly motivated group of people, 3E offers a unique opportunity to further develop yourself in a company/team with an ambitious growth plan, delivering innovative services.
Furthermore:
- 3-6 month full-time internship
- Relevant contribution to living expenses
- Flexible and gliding working hours in our open-minded company.
- Home working (2 days per week)
- An international environment: projects in over 100 countries worldwide, colleagues of 30+ nationalities.
