Postdoctoral Researcher (PostDoc): AI-Driven Biosensing & Metaverse Healthcare for Alzheimer’s Detection

Job Description

Position Overview:
The Postdoctoral Researcher will lead and contribute to groundbreaking research in AI-driven biosensors, deep learning for medical diagnostics, and metaverse-based virtual healthcare applications. The candidate will focus on developing innovative computational models, integrating biosensors with AI-driven diagnostic systems, and ensuring the successful implementation of metaverse-based healthcare solutions.

Key Responsibilities:
• Develop AI-based deep learning models for biomarker analysis and early Alzheimer’s detection.
• Integrate graphene-based biosensors with AI models for real-time disease prediction.
• Design and implement immersive diagnostic environments within the metaverse.
• Publish findings in top-tier journals and present research at international conferences.
• Supervise graduate research assistants and contribute to academic mentorship.
• Collaborate with clinical and industry partners to ensure successful technology transfer.
• Lead proposal writing for securing additional research funding.
Qualifications:
• PhD in Computer science, Biomedical Engineering, Electrical Engineering, or a related field.
• Strong research background with a demonstrated ability to publish in reputable journals.
• Experience in deep learning, biosensors, and digital health technologies.
• Strong programming skills in Python, Java, or similar languages.
• Hands-on experience with Python, TensorFlow, PyTorch, and embedded AI systems.
• Familiarity with medical data privacy regulations and ethical AI principles.
• Excellent communication and leadership skills for interdisciplinary collaboration.
• Experience in proposal writing and securing external research funding.