Fujitsu - AI Researcher

Key Responsibilities :

- Explore advanced topics in Kernel Methods, Federated Learning, Secure & Private AI, Optimization, and Privacy-Preserving Machine Learning.

- Build proof-of-concept implementations to validate and demonstrate theoretical advancements.

Lead & Mentor : Guide junior researchers, foster innovation, and maintain high research standards within the team.

- Work closely with cross-functional teams, universities, and international research communities.

- Contribute to high-impact publications and represent the lab at top-tier AI conferences (e.g., NeurIPS, ICML, ICLR, JMLR). u

- Translate research outcomes into scalable AI solutions that address real-world challenges in security, distributed systems, and model adaptability.

Required Qualifications :

- Ph.D. in Computer Science, Mathematics, Statistics, Electrical Engineering, or a related quantitative field. 47 years of hands-on experience in AI/ML research and development.

- Strong theoretical foundation in one or more of the following areas : Functional Analysis Probability and Statistics Optimization Theory Machine Learning Theory Demonstrated research excellence with publications in top-tier conferences/journals (NeurIPS, ICML, ICLR, AAAI, JMLR, etc.).

- Proficiency in Python and popular ML frameworks (PyTorch, TensorFlow, or JAX).

Preferred Skills & Experience :

- Expertise in Federated Learning, Secure Multi-Party Computation (SMPC), or Differential Privacy (DP). Familiarity with distributed systems and scalable ML architectures.

- Strong algorithm design and implementation skills.

- Experience with academic-industry research collaborations.

- Excellent communication skills and a passion for mentoring emerging researchers.

- Opportunity to define next-generation AI research directions.

- Collaborate with a diverse, global network of AI scientists.

- Work on projects with real-world impact and academic visibility.

- Support for conference travel, paper publication, and continued research funding.

- AI Research

- Machine Learning Theory

- Federated Learning

- Secure AI

- Kernel Methods

- Optimization

- Differential Privacy

- SMPC

- Privacy-Preserving ML

- Distributed Learning

- Python

- PyTorch

- TensorFlow

- Research Publication

- Algorithm Design