Fujitsu’s purpose is to make the world more sustainable by building trust in society through innovation. Fujitsu’s Research and Development (R&D) is at the forefront of Fujitsu's sustainability transformation strategy, conducting cutting-edge research to tackle social challenges and improve our future world. With our focus on 5 key technologies - Computing, Network, AI, Data & Security, and Converging Technologies - we deliver comprehensive value to our customers by combining them creatively and dynamically.

Fujitsu’s R&D vision is to create cutting-edge technologies that support society and prioritize the flow of data. Our five key technologies are essential elements for collecting data from all parts of society, transporting it over ultra-high-speed and secure networks, analyzing it with trusted AI, converting it into value, and returning it to society. Central to realizing our strategy and vision are the people behind our R&D initiatives. We strive to foster top-notch talent in the innovation process by nurturing skilled individuals equipped to advance this cause with originality and dedication.

Fujitsu’s R&D team is strategically located in Japan, North America, Europe, Israel, India, and China to leverage the expertise of global talents to create cutting-edge technologies. Fujitsu’s trusted technologies are aligned with the UN's Sustainable Development Goals (SDGs) to promote sustainability while protecting the planet. Through open innovation, co-creation, and startup collaboration, Fujitsu's trailblazing technologies underpin the transformation process, working with customers and Fujitsu businesses to solve real-world problems in today's digital society.

Website: https://www.fujitsu.com/global/about/research/

Job Description

Greetings from Fujitsu Research Lab (https://www.fujitsu.com/global/about/research/)

About us: At Fujitsu AI Lab, we are at the forefront of research, innovation, and product development in areas such as AI (artificial intelligence), Machine Learning (ML), and Data Science. Our technologies are integrated into Fujitsu’s products and customer systems across sectors like finance, telecommunications, manufacturing, healthcare, and social infrastructure. We are committed to shaping the future with cutting-edge AI research, driving advancements in fields such as Generative AI, Cognitive AI, Graph ML, ML models for complex temporal and multimodal data.

Role Purpose:

As an AI Researcher, you will lead groundbreaking research aligned with Fujitsu's AI strategy. Your work will directly influence product innovations and the development of novel AI technologies. Additionally, you will drive scientific exploration, publish in top-tier conferences and journals, and secure patents for innovative work.

Roles and Responsibilities- Followings are Researcher’s duties:

Technical Skills required-

• Advanced AI/ML Expertise: Deep understanding of fundamentals of theoretical machine learning, statistical theory of learning, AI related topics and concepts, and their practical implementation in various domains.
• Up to date with the latest in AI algorithms & neural architectures (e.g., attention, transformers, state-space models, etc.), and their application in discriminative and generative models, explainable AI, causal reasoning, knowledge representation, concept discovery & extraction, continual learning, etc. Prior experience in applying them to one or more of the following areas or related topics: natural language (LLMs), human cognition, computer vision, point cloud, graphs, multi-modal data analytics, time-series, sequence modelling, complex task completion, dynamic optimization etc.
• Proficient in AI/ML Programming: Advanced skills in coding, working with AI/ML libraries, and familiar with major AI platforms and tools.
• Strong publication track in top-tier conferences such as ICML, ICLR, NeurIPS, AAAI, IJCAI, AISTATS, SIGKDD, ACL, NAACL etc. For computer vision domain, publications in top CV conferences like CVPR, ICCV, ECCV is expected.
• Desirable: Well-informed with latest conceptual advancements in the deployable AI framework (such as AI agents, autonomous systems etc.).

Core Research Leadership

• Identify and Frame Research Problems: Brainstorm with other researchers to scope new research projects in specified areas. Identifies critical research challenges and develop innovative solutions by differentiating your approaches from the current state of the art.
• Develop Advanced Technologies: Design new algorithms, neural architectures, and computing methodologies. Implement and validate through theoretical and experimental research.

• Conduct Rigorous Data Analysis: Collect and analyze data to draw inferences, support proposed solutions, and demonstrate their practical applications.

Collaboration & Knowledge Sharing

• Share key findings with internal leadership, including Project Leaders, Research Managers, and Project Directors.
• Research Publication & IP: Draft and submit patents. Author research papers for submission to prestigious AI/ML/CV/NLP conferences and journals.
• Academic Partnerships: Engage with academic institutions and collaborators, expanding Fujitsu’s network and promoting cutting-edge AI research.

Industry Impact and Application

• Engage with Applied Research Teams: Collaborate closely with applied researchers to transform core scientific discoveries into practical solutions. Abstract complex research problems from real-world challenges.
• Support Technology Transition: Facilitate the transfer of research outcomes to business units, demonstrating their value to external clients and driving real-world impact.

Additional Expectations

• Scientific Leadership: Strong vision for research and the ability to lead scientific projects towards impactful breakthroughs.
• Communication: Exceptional communication, report writing, and presentation skills, with the ability to translate complex research into understandable and actionable insights.
• Adaptability and Growth Mindset: Willingness to learn new fields, explore uncharted territories in AI, and develop cross-disciplinary skill sets.
• Education & Research Experience: Ph.D. in AI, Machine Learning, Computer Science, or a related field with a research experience of 3-10 years (post PhD). Person with more experience will be considered for appropriate positions.