Univers provides the world’s most comprehensive decarbonization system. 

We help companies and countries optimize energy systems and reduce carbon emissions with accurate, reliable, and actionable decarbonization data. Our EnOS (Energy and Environment Operating System) platform connects on-the-ground operational technology and in-the-cloud intelligence to deliver real-time energy data and data-driven carbon monitoring, reporting, and abatement.

With 220 million sensors and smart devices connected, 550GW of renewable energy under management, and a community of over 500 customers, we’re helping the world’s leading businesses get the world to net zero—and what comes after it.

For more information, please visit https://univers.com/

AI HVAC Engineer Intern

Job Description:

We are looking for an enthusiastic AI HVAC Engineer Intern to join our AI HVAC team. In this role, you will assist with documentation tasks (including creating Standard Operating Procedures, SOPs, and organizing domain object definitions) and participate in exploratory research related to AI algorithms in the HVAC field. This is an excellent opportunity to gain hands-on experience at the intersection of HVAC systems and AI technology.

Key Responsibilities:

1. Documentation Support:

• Assist in drafting and organizing Standard Operating Procedures (SOPs).

• Help define and structure domain-specific objects for HVAC systems.

2. Research Assistance:

• Participate in basic research on AI algorithms for HVAC applications.

• Contribute to exploring new tools and technologies in the HVAC and AI fields.

Required Skills:

1. HVAC Interest:

• Basic understanding of HVAC systems and their operations.

• Eagerness to learn about HVAC technologies.

2. IT and AI Fundamentals:

• Familiarity with basic programming concepts and software tools.

• Interest in AI and data analysis.

3. Communication and Collaboration:

• Ability to organize and write simple technical documents.

• Willingness to work with a team and learn from experienced members.

Preferred Qualifications:

• Currently pursuing a Bachelor Degree in Engineering related to built environment, smart energy and any other relevant field

• Basic knowledge of Python or MATLAB.

• Interest in IoT and smart building technologies.

• Previous coursework or projects related to HVAC or AI are a plus