Intern, UX Data-driven HVAC Research

Job Description:

Job Description

💼 Role Overview
We are looking for a motivated and enthusiastic individual to join Bosch for a fulfilling internship opportunity! This internship will provide valuable hands-on experience in a corporate environment, allowing you to contribute to ongoing projects while learning from experienced professionals. As an Intern, UX Data-driven HVAC Research , you will support the following key tasks in collaboration with experienced team members.
🎯 What you will do (Key Responsibilities)
* Conduct literature research to scout AI and GenAI applications in HVAC systems, with focus on enhancing energy efficiency, fault diagnosis, and developing advanced control strategies through data-driven insights.
* Develop intelligent functions using AI/ML techniques to analyze and interpret data, enhance system diagnostics, and optimize control strategies for improved energy efficiency and reliability.
* Integrate software-hardware modules for field testing and validation of developed solutions.
* Collaborate with team members across diverse international backgrounds to advance project goals and implement findings into practical applications within physical and intelligent products.
* Participate in project meetings and discussions to contribute insights and stay aligned with team objectives.
* Prepare and present project updates to the team and stakeholders, communicating progress and findings effectively

Candidate Requirements:

Qualifications

👤 What We're Looking For (Qualifications & Skills)
* Enrolled in at least a Master or PhD program in engineering or AI related field
* Candidates with a strong foundation and practical experience in AI/ML techniques are highly preferred.
* Excellent written and oral communication skills in English.
* Highly motivated and able to work independently as well as collaboratively