Research Scientist, AI

ROBERT BOSCH (SOUTH EAST ASIA) PTE. LTD.; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Robert Bosch (Southeast Asia) Pte. Ltd. is seeking a highly motivated Research Scientist AI to join its R&D team in Singapore.

The role focuses on sustainability with AI-driven HVAC solutions, collaborating across business units and external partners to develop and commercialize innovative AI technologies. You will lead end‑to‑end AI projects, from data collection to model development, experiments, and deployment, while staying abreast of the latest AI industrial innovations and maintaining a

Qualifications

• PhD with a thesis addressing AI methods research.
• Experience applying AI to time-series data, including signal processing and control systems.
• Strong publication record in AI conferences or journals.
• Experience with Generative AI and LLMs to accelerate research.
• Hands-on end-to-end AI solution development from concept to deployment.
• Knowledge of AI industrial solutions and applications.

Responsibilities

• Drive AI innovation for sustainability and HVAC-related domains.
• Lead end‑to‑end development of AI solutions from data acquisition to modeling.
• Design experiments and build prototypes demonstrating tangible improvements.
• Collaborate with business units and external partners on research proposals.
• Engage with universities and institutions for potential collaborations.
• Regularly align with portfolio owners and provide project updates.

Skills

Time-series AI research

Machine learning

Deep learning / Transformers

Publications / research papers

Experimentation / prototyping

Communication skills

Independent / teamwork

Education

PhD in Computer Science / Math / Physics

Tools

Generative AI

LLMs

Signal processing

Control systems

Job description

Role Overview

We are seeking a highly motivated and skilled Research Scientist to join Bosch's Research and Development team in Singapore. As a part of our global research unit, our Singapore team’s focus is on the domain of sustainability. This role offers an exciting opportunity to explore the usage of AI and advanced solutions in the field of HVAC engineering and control. As a Research Scientist AI, you will collaborate with the research team, business units and external partners to develop cutting‑edge technologies and commercialize innovative solutions, contributing to Bosch's long‑term product portfolio.

What you will do (Key Responsibilities)

• Drive AI innovation in the area of Urban Solutions and Sustainability, particularly in the Sustainable HVACs domain, focusing on AI‑enabled features for enhanced user comfort, wellbeing, and indoor air quality.
• Co‑create with business units in relation to sustainability initiatives, contribute to the long‑term product portfolio of Bosch, perform customer interviews, formulate problem statements, and generate innovation pitching and research proposals.
• Lead the end‑to‑end development of AI solutions, from data acquisition to modeling, feature extraction, and the creation of new user‑centric functions.
• Design and execute experiments to validate the ideas, developing prototypes that demonstrate tangible improvements.
• Build cooperation, assess, and identify “Best‑In‑Class” within local institutions and universities for potential research and innovation collaboration.
• Regular alignment with Strategic Research Portfolio Owner, quarterly project review updates, stakeholder management, and idea pitching via the Bosch Innovation Framework.

Qualifications

• PhD degree in Computer Science, Mathematics, Physics, or a related field with a thesis and projects addressing AI methods research.
• Deep expertise in researching and applying AI and machine learning to time-series data,including direct experience with signal processing, system identification, control systems, and developing models (e.g., deep learning, transformers, or time-series forecasting) for applications like anomaly detection, user behavior modeling, or environmental prediction.
• Solid publication record in AI top‑tier conferences or journals.
• Proficiency in leveraging Generative AI and Large Language Models (LLMs) to accelerate research cycles, from literature review and code generation to data analysis and documentation.
• Demonstrated hands‑on experience leading the end‑to‑end development of AI solutions, from initial concept and rapid prototyping to deployment and validation in real‑world environments.
• Awareness of the latest developments in AI industrial solutions.
• Passion for innovation, an entrepreneurial spirit, and excellent written and verbal communication skills.
• Ability to work both independently and in a team, with a good working attitude and the ability to adapt in a dynamic environment.