Energy Modeler (Software Phd/PostDoc)

Advanced Simulations for Energy Efficiency for Building Simulations

Location: Remote

About Us:

At ClimateForge, we are at the forefront of addressing the global challenge of climate change through pioneering computational research in building energy efficiency. We harness the power of AI and machine learning to develop innovative solutions for optimizing energy systems models. Our mission is to lead the way in decarbonizing the built environment, and we invite you to join us on this transformative journey to solve one of the biggest challenges of our times.

The Opportunity:

We are seeking passionate and dedicated Master Students/PhD/Postdoc Researchers to join our interdisciplinary team. This is an exceptional opportunity to engage in cutting-edge research that directly contributes to mitigating climate change and advancing sustainable building technologies using your findings.

You will have the freedom to explore and develop your own research ideas within the overarching theme of building energy efficiency, leveraging AI and ML for real-world applications. We offer a collaborative and dynamic research environment where innovation is not just encouraged but essential. You will receive full credit for your contributions and have the chance to publish your work in top-tier journals and transform your work in real time applications.

Research Include:

• Main: Reproduce a solar model for residential houses

Key Responsibilities:

• Conduct high-impact research in your chosen area within the framework of our broader mission.
• Develop and validate computational models and simulations for building energy analysis.
• Collaborate with interdisciplinary teams, including engineers, data scientists, and environmental specialists.
• Publish findings in peer-reviewed journals and present at international conferences.

Qualifications:

• For PhD Candidates:
• A master’s degree in mechanical engineering, building science, computer science, electrical engineering, energy systems or a related field.
• Demonstrated research experience in building energy efficiency, indoor environmental quality, or related areas.
• Strong analytical and computational skills.
• For Postdoctoral Researchers:
• A PhD in mechanical engineering, building science, computer science, electrical engineering, energy systems or a related field.
• Proven track record of high-quality research and publications.
• Expertise in energy modeling, HVAC systems, AI, or ML applications in building environments.

Why Join Us?

• Impactful Research: Contribute to solving critical issues related to climate change and building sustainability.
• Creative Freedom: Enjoy the flexibility to pursue your research interests and innovate within a supportive environment without bureaucratic constraints. Say goodbye to micromanaging supervisors and hello to intellectual independence.
• Real-World Applications: Work on projects with direct applicability in the real world, offering the potential to transform your research into products and solutions that people can use, making a tangible impact on global energy efficiency and sustainability.
• Collaborative Culture: Work with a diverse team of experts dedicated to pushing the boundaries of knowledge.
• Professional Development: Gain exposure to industry-leading methodologies and advance your career through professional growth opportunities.

 

Please send your application at giovanni@climateforge.ai with the subject line "Application for PhD/Postdoc Position Energy Efficiency.".

How to apply:

Send the above about this opportunity to Giovanni Amenta at giovanni@climateforge.ai

Join us and be a part of the solution to one of the most pressing challenges of our time!

Note: If you’re here, you’re likely interested in impactful research. This is an initial unpaid position focuses on advancing knowledge, learning and building, not monetization. There's potential for a future paid role at ClimateForge if your research contributes to our applications. This role is dedicated to research and academic development, providing experience as an entrepreneur in a startup setting.