. Python Machine Learning

Our team of engineers, scientists, and software developers explores the potential of Artificial Intelligence to solve some of the world's most challenging problems. We integrate machine learning, systems modeling, advanced control, and mathematical...
Our team of engineers, scientists, and software developers explores the potential of Artificial Intelligence to solve some of the world's most challenging problems. We integrate machine learning, systems modeling, advanced control, and mathematical optimization to tackle complex engineering challenges. Our ultimate mission is to develop sustainable technologies that drive progress and contribute to the advancement of human development.

About The Position

At IDENER.AI, we are seeking a Researcher to contribute to our efforts in high-efficiency solar PV systems and digital modelling. This role focuses on the technical core of photovoltaic technology, requiring a professional capable of taking ownership of everything from cell-level physics to utility-scale deployment of digital twins.

Your Responsibilities Will Focus On

  • Develop advanced models for thin films and functional coatings, exploring manufacturing processes such as plasma-based deposition and microstructuring for Perovskite and Tandem cell architectures.
  • Architect high-fidelity Digital Twins for utility-scale solar farms, integrating these simulations into real-time control systems to optimise energy yield.
  • Implement AI and Machine Learning forecasting models for irradiance and soiling analysis to drive the transition toward prescriptive and preventive maintenance.
  • Design experimental protocols to evaluate the performance of PV modules and inverters under accelerated ageing conditions to ensure the reliability of balance-of-system components.
  • Engineer scalable cloud-based data pipelines for real-time monitoring of large-scale PV assets to support automated decision-making at the edge.
  • Collaborate with our sustainability team by providing technical performance data to support strategic assessments and multidisciplinary design optimization frameworks.
  • Execute literature searches and state-of-the-art reviews to propose new project ideas and methodologies that align with current scientific and legislative trends.
  • Represent IDENER.AI in international forums, engaging in consortium meetings and presenting research results at international conferences.

Why IDENER.AI is the place for you

  • Making life balance a central part of our culture means you have a completely flexible schedule to distribute your annual working time so it fits with your social and family life.
  • We strive to maintain a work environment that cares, supports, and inspires by focusing on every team member’s financial, mental, physical, and emotional needs.
  • Our organisation is built on trust, cooperation, and equity, providing you with the safety and accountability required to propose and execute your own ideas from day one.
  • We champion high levels of ownership and initiative, ensuring you have the autonomy to lead your own work while having access to a senior team for high-level technical collaboration and strategic guidance.

Minimum Requirements

  • You should hold a University Degree in Engineering—such as Materials Science, Energy, or Electronics—or a background in Physics, with a strong preference for a Master’s or PhD in Photovoltaic technology.
  • Professional proficiency in English is a must, as you will represent our research in international forums and collaborate with top-tier global partners.
  • We require a deep understanding of PV device physics, including advanced architectures like Perovskites, HJT, or Tandem cells, and their respective manufacturing processes.
  • You should be proficient in Python and have experience in system modeling or data science to develop high-fidelity digital twins and predictive maintenance algorithms.
  • We are looking for a proactive researcher who stays ahead of the scientific curve and takes the initiative to propose new R&D directions in the solar energy sector.

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