GenAI Research Scientist

Key Responsibilities:

• Conduct advanced research in Generative AI with a focus on mobility and RAN applications.
• Design, develop, and optimize AI models and algorithms to address real-world challenges in these domains.
• Collaborate with cross-functional teams to integrate AI solutions into existing systems and workflows.
• Publish research findings in top-tier conferences and journals, contributing to the scientific community.
• Stay up-to-date with the latest advancements in AI/ML and identify opportunities for innovation.
• Mentor junior researchers and contribute to the growth of the research team.

Qualifications:

• PhD in Computer Science, Electrical Engineering, Artificial Intelligence, or a related field.
• Strong research background in Generative AI (e.g., GANs, VAEs, diffusion models) with a focus on mobility and/or RAN.
• Proven track record of publications in top-tier AI/ML conferences (e.g., NeurIPS, ICML, CVPR, AAAI).
• Proficiency in programming languages such as Python, TensorFlow, PyTorch, or similar.
• Experience with large-scale data processing and distributed computing frameworks.
• Strong problem-solving skills and the ability to work independently as well as in a team.
• Excellent communication skills, with the ability to present complex ideas to both technical and non-technical audiences.

Preferred Qualifications:

• Experience in applying AI to mobility-related challenges (e.g., autonomous vehicles, traffic optimization, smart cities).
• Knowledge of RAN technologies and their integration with AI-driven solutions.
• Familiarity with 5G/6G networks and their applications in AI.
• Experience working in industry or collaborating with industry partners.