Lead AI Research Scientist — Healthcare

• Conduct high-impact AI research aligned with AIAC's strategic themes, including healthcare, Energy, natural Resources, Education, and NLP.
• Develop novel models, algorithms, and architectures that address real-world challenges in Oman and the broader GCC region.

Platform & System Development

• Design and build AI-powered applications and platforms.
• Contribute to active projects under AIAC, including diagnostic AI systems, smart communication tools, and applied data science solutions for government and industry.
• Co-author and lead research grant proposals targeting national (TRC, URG) and international funding bodies.
• Manage deliverables and milestones for funded projects.

Publication & Dissemination

• Publish research outcomes in high-quality peer-reviewed journals and present at international conferences.
• Represent AIAC at academic and industry events globally.
• Supervise graduate students and junior researchers.
• Contribute to AI training programs and workshops aimed at capacity building across academic and professional communities.
• Engage with national institutions, industry partners, and international collaborators (including partner universities and research networks) to broaden AIAC's research impact and visibility.

Core Technical Skills & Tools

AI/ML Frameworks

• Python, R / TensorFlow / Keras / PyTorch / Scikit-learn
• Hugging Face Transformers

Research Domains

• Computer Vision / Natural Language Processing / Explainable AI (XAI) / Healthcare & Clinical AI / GeoAI / Remote Sensing
• Self-motivated, with a high capacity for independent and collaborative research.
• Strong analytical and problem-solving mindset applied to real-world AI challenges.
• Excellent interpersonal skills and ability to work within multicultural, international teams.
• High ethical standards in research, data governance, and AI deployment.
• Commitment to knowledge transfer and training of the next generation of AI professionals.
• Adaptability and resilience in a dynamic, fast-evolving research environment.

Application Process

• Updated curriculum vitae (CV) including full publication list.
• Cover letter describing your research vision and alignment with AIAC priorities.
• Copies of three representative publications or technical reports.
• Names and contact details of three academic or professional referees.
• Certified copy of PhD degree certificate and academic transcripts.

Desired Candidate Profile

• PhD in the field of specialization (Master s degree & Bachelor's degree should be in the same field of general specialization) from a recognized university.
• Strong publication record in peer-reviewed AI/ML venues (IEEE, ACM, Springer, etc.)
• Demonstrated expertise in machine learning, deep learning, or NLP.
• Hands-on AI/ML development skills (Python,TensorFlow, PyTorch, or equivalent).
• Ability to independently lead and manage research projects.
• Excellent written and oral communication skills in English.

Preferred Qualifications

• Experience in Explainable AI (XAI), GeoAI, or Healthcare AI
• Familiarity with GIS, remote sensing, or satellite imagery analysis
• Experience developing AI-powered platforms or clinical decision support systems
• Knowledge of SHAP, LIME, TabNet, or similar interpretable ML tools
• Prior grant writing or research funding acquisition experience
• Experience mentoring graduate students or junior researchers