Research Intern - Sports Science, CV/ML Job at Fujitsu, Santa Clara, CA

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  • Fujitsu
  • Santa Clara, CA

Job Description

Research Intern at Fujitsu Research of America (FRA) Job Title: Research Intern (PhD Level) - Sports Science, Computer Vision, and Machine Learning Location: Santa Clara CA, or remote Duration: 3 months full time (possible extension to12 months in either full or part time mode) Department: Innovation Hub Position Overview: We are seeking a highly motivated and skilled PhD-level research intern to join our cutting-edge research team specializing in sports science with a focus on computer vision and machine learning. The successful candidate will work on innovative projects aimed at applying advanced computational techniques to analyze athletic performance, improve injury prevention, and optimize training programs. This is an excellent opportunity for a PhD student to gain hands-on experience in the intersection of sports science and artificial intelligence, contributing to impactful research with real-world applications in sports performance. Key Responsibilities: + Conduct independent and collaborative research applying computer vision and machine learning techniques to sports performance analysis. + Develop and implement algorithms to analyze motion capture data, video footage, and sensor data to evaluate athlete performance and biomechanics. + Use advanced techniques like pose estimation, action recognition, and motion tracking to provide insights into athletic movements. + Collaborate with partners like sports scientists, coaches, and other experts to translate research findings into practical applications for performance enhancement and injury prevention. + Design and execute experiments to assess the effectiveness of machine learning models in predicting injury risk, improving technique, or optimizing performance metrics. + Analyze and interpret large datasets from video footage, motion sensors, or wearable technology. + Contribute to the development of research papers, technical reports, and presentations for both academic and professional audiences. + Participate in regular research team meetings and collaborate with multidisciplinary teams, including sports experts, data scientists, and engineers. + Stay current with the latest research and technological advancements in computer vision, machine learning, and sports science. + Assist in the preparation of technology proposals, research presentations, and publications. Qualifications: + Currently enrolled in a PhD program in Computer Science, Sports Science, Computer Vision, Machine Learning, Biomechanics, or a related engineering field. + Strong foundation in computer vision techniques, including image processing, object detection, pose estimation, and motion analysis. + Experience in machine learning and deep learning methodologies (e.g., neural networks, reinforcement learning, convolutional neural networks). + Proficiency in programming languages such as Python, TensorFlow, PyTorch, and other relevant libraries for machine learning and computer vision. + Familiarity with sports science concepts, biomechanics, or physiology as they relate to performance analysis. + Experience with data processing and visualization tools (e.g., OpenCV, Matplotlib, Pandas). + Strong written and verbal communication skills, with the ability to effectively present complex technical concepts to interdisciplinary teams. + Ability to work both independently and collaboratively in a fast-paced research environment. + Strong problem-solving skills and an ability to approach complex challenges with creativity and critical thinking. Preferred Qualifications: + Experience applying computer vision and machine learning to sports science, biomechanics, or performance analysis. + Familiarity with motion capture systems, wearable sensors, or other data acquisition technologies used in sports science. + Prior experience with publishing research in peer-reviewed journals or presenting at academic conferences. + Understanding of the physiological and biomechanical aspects of athletic performance. + Knowledge of human-computer interaction in the context of sports technology. 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 at a Glance_ _Fujitsu is a leading information and communication technology (ICT) company, headquartered in Japan, offering a full range of technology products, solutions, and services. Approximately 132,000 Fujitsu people support customers in more than 100 countries. We use our experience and the power of ICT to shape the future of society with our customers._ _We are a corporate culture that places great value on the pursuit of new possibilities previously unimagined and brings them to fruition. This has been the foundation of Fujitsu's success since its inception. In an increasingly competitive world, in which the pace of change continues to accelerate, Fujitsu must strive for continuous innovation. Each and every employee will rise to the challenge of creating new value amid changes in the management environment, technology, society and the marketplace. With a spirit of challenge, we are committed to the continuous creation of new value. Fujitsu wants innovators like you!_ _At Fujitsu, one of our corporate principles is "We respect human rights". This principle underpins all our corporate and individual activities and guides the actions of every Fujitsu Group member. We embrace diversity and equal opportunity. Qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. By empowering people, we can unleash our collective strengths to create a better experience for our employees, our customers, and our partners._ _California Consumer Privacy Act (CPPA), read here ( **Requisition ID** : 29689

Job Tags

Full time, Part time, Internship, Remote job,

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