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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 at Fujitsu's Space Data Frontiers Research Center
The Space Data Frontiers Research Center (Space Center) at Fujitsu specializes in pioneering business opportunities in space-related technologies. The center focuses on using AI and advanced computing to process, analyze, and utilize data from space in real-time, aiming to support both Earth-bound industries and future human space exploration.
Our internships offer an excellent opportunity to expand your career with hands-on experience and the chance to tackle real-world challenges through deep learning applications addressing urban and social issues. We are seeking individuals who learn quickly, navigate complexity, and bring creativity, passion, and strong communication skills to solving challenges others haven’t
Job responsibilities
- Develop deep learning methods for global building feature estimation using satellite data.
- Collaborate with our team members and external researchers.
- Publish research in journals and conferences. Transfer the deliverables to patents, conference presentations, and workshops.
Key focus areas
Assessing the vulnerability of global infrastructure to natural hazards is a major challenge in disaster risk management and urban planning. Consequently, it is essential to determine detailed building attributes, including roofing materials, structural systems, and occupancy types. Traditionally, this process has relied on resource-intensive in-situ surveys or costly aerial campaigns, both of which present limitations in terms of scope and scalability. This research investigates the structural relationships between building shape, floor area, and estimated height as inferred through advanced satellite data-fusion techniques.
Requirements
- Currently enrolled, or anticipate enrolment, in a university for the full duration of the internship while pursuing a PhD in Civil Engineering, Physical Sciences, Computer Science, or other pertinent STEM disciplines.
- Experienced in programming, training, and evaluating ML pipelines using Python and deep learning frameworks like Jax
- Strong track record of demonstrating through accomplishments such as research publications, impactful projects, or success in technical competitions.
- Excellent communication and collaboration skills through written communication and verbal interaction.
Who we are looking for
- Hands-on experience with GPU-accelerated deep learning frameworks like PyTorch and Jax
- Experience is fine-tuning deep learning models
- Familiarity with building infrastructure datasets and modeling
- Satellite-image dataset experience is preferred but not required.
- Previous experience working with cluster schedulers (e.g., Slurm)
The internship duration is 3 months and part time (20hours / week). Locations are flexible in Santa Clara, CA office and/or remote location.
Fujitsu is the largest IT company in Japan and among the largest in the world. Fujitsu’s mission is to make the world more sustainable by building trust in society through innovation. Join us in shaping the future of the world.
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 $40/hr. to $55/hr. USD. Additionally, this role may be eligible for a short-term incentive based on company results and individual performance.
At Fujitsu, we are committed to creating a diverse and inclusive workplace where everyone feels valued and respected. We believe that diversity and inclusion are essential to our success, and we are committed to creating an environment where all employees can thrive.
We are an equal opportunity employer and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, marital status, sexual orientation, gender identity or expression, genetic information, veteran status, or any other characteristic protected by law.
We believe that everyone has something to contribute, and we are committed to creating a workplace where everyone can reach their full potential.
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