Intern, HVAC AI Research

Bosch Group; Singapore; Vor Ort; SGD 20.000 - 31.000; Vollzeit

Zusammenfassung

Bosch Corporate Research Singapore invites a motivated student to join as an intern in sustainable HVAC/thermal systems. The project focuses on data analytics and AI algorithms to boost energy efficiency and system reliability.

The role also provides exposure to real-world datasets and modern ML tools. You will build AI/ML functions, analyze data, and help validate solutions while collaborating with an international team of researchers.

Qualifikationen

• Pursuing undergraduate or graduate degree in Mechanical/Electrical/Electronic Engineering, CS, AI, or Data Science.
• Proficiency in Python with data-science libraries (Pandas, NumPy, SciPy, Scikit-learn, Matplotlib, TensorFlow, or PyTorch).
• Experience with time-series and sensor data, including cleaning, feature engineering, anomaly detection, forecasting and classification.
• Ability to develop, validate, and interpret data-driven models using statistical and ML metrics.
• Strong analytical and problem-solving skills with data-quality troubleshooting abilities.
• Excellent written and verbal communication; able to produce technical docs and visualisations.
• Able to work independently and in a multidisciplinary, international research team.

Aufgaben

• Conduct literature research on AI and GenAI in HVAC to improve energy efficiency and fault diagnosis.
• Develop AI/ML functions to analyze data, improve diagnostics, and optimize control strategies.
• Integrate software-hardware modules for field testing and validation.
• Collaborate with international researchers and interns to advance project goals.
• Prepare and present project updates, technical docs, and findings to the team.

Kenntnisse

Python programming

Data analysis

Machine learning

Statistical analysis

Time-series data

Data visualization

Ausbildung

Engineering/CS degree

Tools

Pandas

NumPy

SciPy

Scikit-learn

Matplotlib

TensorFlow

PyTorch

C/C++

Jobbeschreibung

Company Description

The Bosch Group is a leading global supplier of technology and services. It employs roughly 418,000 associates worldwide. The company generated sales of 90.3 billion euros in 2024. Its operations are divided into four business sectors: Mobility, Industrial Technology, Consumer Goods, and Energy and Building Technology. With technology that is “Invented for life,” Bosch wants to help improve quality of life and conserve natural resources. The Bosch Group comprises Robert Bosch GmbH and its roughly 490 subsidiary and regional companies in over 60 countries. At 136 locations across the globe, Bosch employs some 87,000 associates in research and development.

As the Bosch Group's regional headquarters in Singapore for Southeast Asia, Robert Bosch (South East Asia) Pte Ltd has represented the Group's interests across the region since 1923. With diversified businesses in Mobility Aftermarket, Industrial Technology, Consumer Goods, and Building Technology. Robert Bosch (SEA) Pte Ltd includes the Asia Pacific headquarters for Mobility Aftermarket, Building Technology, and Industrial Technology, as well as the Southeast Asia R&D setup for Corporate Research, Advance Engineering Centre, and Bosch Business Innovations, Bosch's in-house innovation and startup incubation network. At Bosch, we are committed through our EVP ensuring all our associates to GROW, ENJOY and INSPIRE during their journey with us.

Job Description

At Bosch Corporate Research, we develop, examine and enhance new systems, components and technologies. Our aim is simple - improving lives. Around 1700 researchers and engineers work at Bosch worldwide to develop new materials, methods and technologies as well as new systems, components and production processes.

We are seeking a highly motivated and enthusiastic student to join our team as an intern in the field of sustainable HVAC/ thermal systems. This internship focuses on both domain-specific and intelligence development tasks, particularly in data analytics and AI algorithms. The core areas include system-level energy management and system reliability, leveraging AI/ML techniques for data analysis, visualization, and validation. Successful candidate will be responsible for the following duties within corporate research center in Singapore:

What you will do (Key Responsibilities)

Conduct literature research to scout AI and GenAI applications in HVAC systems, with emphasis 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 a diverse team of international researchers, engineers, and fellow interns to advance project goals and translate findings into practical applications.

Participate in team meetings, discussions, and knowledge-sharing sessions to contribute insights and stay aligned with project objectives.

Prepare and present project updates, technical documentation, and findings to the team and stakeholders.

Qualifications

What We're Looking For (Qualifications & Skills)

Commitment to a full-time internship of four to six months.

Currently pursuing an undergraduate or postgraduate degree in Mechanical Engineering, Electrical or Electronic Engineering, Computer Science, Artificial Intelligence, Data Science, or a related field.

Proficiency in Python, with working knowledge of data science libraries (Pandas, NumPy, SciPy, Scikit-learn, Matplotlib, TensorFlow, or PyTorch).

Demonstrated competency in exploratory data analysis, statistical analysis, and machine learning techniques applied to real‑world datasets.

Practical experience with time‑series and sensor data, including data cleaning, feature engineering, anomaly detection, forecasting, and classification tasks.

Ability to develop, validate, and interpret data-driven models using appropriate statistical and machine‑learning metrics.

Strong analytical and problem‑solving capabilities, with proficiency in troubleshooting data‑quality issues and optimising algorithm performance.

Excellent written and verbal communication skills, with the ability to produce technical documentation, visualisations, and presentations.

Ability to work both independently and collaboratively within a multidisciplinary, international research team.

Preferred Experience

Proficiency in C or C++.

Familiarity with Internet of Things technologies, including connected sensors, device telemetry, data acquisition, and cloud or edge‑based data processing.

Basic understanding of HVAC systems, room air‑conditioning, VRF systems, thermodynamics, heat transfer, or building energy systems.

Exposure to multimodal sensing technologies (temperature, humidity, pressure, occupancy, power, acoustic, or visual sensing).

Experience with data visualisation tools, dashboards, databases, APIs, or version‑control systems.