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We have been a pioneer in technology and innovation for over 80 years, and we are committed to using our expertise to help businesses and organizations transform for the digital age. We believe that digital transformation is essential to creating a more sustainable future. That's why we are working with our customers to develop solutions that can help them reduce their environmental impact, improve their efficiency, and create a more equitable society.

We are committed to contributing to the United Nations Sustainable Development Goals (SDGs). These goals are a blueprint for a better future for all, and we believe that technology can play a vital role in achieving them.

If you share our passion for making a meaningful impact on the world, we invite you to join our global family of 130,000 employees spanning more than 50 countries. We are a diverse workforce, and we offer a wide range of opportunities for you to grow and develop your career.

Together, we can create a more sustainable future for all.

Research Intern  – SciML/AI for Urban Wind Field Prediction 

Location: Fujitsu Converging Technology Laboratory (CT Lab), Santa Clara, CA          

Schedule: Spring Semester | Part-Time (20 hrs/week) | Remote/Hybrid options available       

About CT Lab               

The Converging Technology Laboratory (CT Lab) at Fujitsu focuses on integrating research across multiple technical domains to address societal challenges. Our mission is to apply evidence-based, multidisciplinary approaches spanning natural sciences, engineering, and humanities to shape sustainable public policies and economic activities.          

We are seeking innovative and driven researchers to join our team in Silicon Valley. This internship offers a unique opportunity to tackle urban environmental challenges using advanced AI and computational techniques while continuing your academic program.             

Role Overview             

You will contribute to developing AI-driven digital twin models for predicting wind field behavior in complex urban environments, supporting applications in sustainability, urban planning, climate resilience, and drone operations in cities.      

Key Responsibilities   

Research & Development:     

• Design and implement AI/ML models for urban wind field prediction, incorporating factors such as building geometry, street layouts, and microclimate variations.  
• Explore Generative AI, ML-based data assimilation, and hybrid approaches combining computational fluid dynamics (CFD) with machine learning.            

Data Integration & Pipeline Development:  

• Build end-to-end AI pipelines for ingesting, transforming, and visualizing multi-source data (e.g., sensor data, GIS maps, CFD simulations).   
• Rapid prototyping using PyTorch and Python; experience with GPU acceleration and distributed training is a plus.  

Collaboration & Dissemination:                      

• Work closely with researchers across disciplines to integrate diverse datasets into Social Digital Twin systems.      
• Publish findings in scientific journals and present at conferences, workshops, and competitions. 

Requirements

• Currently enrolled in a Master’s or PhD program in applied mathematics, computational engineering, environmental modeling, or civil engineering related fields.
• Strong foundation in AI/ML techniques and experience applying them to physical or environmental systems.            
• Familiarity with CFD principles, urban microclimate modeling, or geospatial data processing is highly desirable.      
• Demonstrated ability to innovate and improve existing methods, evidenced by projects, publications, or competition results.
• Excellent communication skills and ability to collaborate in a multidisciplinary team.

Preferred Technical Skills       

• Programming: Python (mandatory), experience with PyTorch for ML/AI model development.           
• CFD Software: OpenFOAM, ANSYS Fluent, or similar tools for fluid dynamics simulations.    
• Data Tools: GIS platforms, visualization libraries and tools (e.g., Matplotlib, Plotly, ParaView), and data processing frameworks.    

Why Join Fujitsu CT Lab?                      

Fujitsu is Japan’s largest IT company and a global leader in technology innovation. Our mission is to make the world more sustainable by building trust in society through innovation. At CT Lab, you’ll work on cutting-edge research that bridges AI and environmental science to create impactful solutions for urban sustainability, climate resilience, and next-generation drone applications. Flexible remote/hybrid work while continuing your studies.             

Fujitsu salaries are aligned to the specific geographic location in which the work is primarily performed. ​ It is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the circumstances of each situation. The pay range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to: specific skills, qualifications, experience, and comparison to other employees already in this role. The pay range for this position is estimated at $94,080 to $134,400 USD. Additionally, this role may be eligible for a short-term incentive based on company results and individual performance.

As a technology company, Fujitsu recognizes that human resources are its most important capital. To create an environment where all employees can work positively and healthily, both in mind and body, we offer a full range of health, 401K, and other benefits.​