"Teaching Faculty in Bio and AI or Physics and AI"

Description

Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) has launched its first Undergraduate (Bachelor’s) degree programs and is looking for passionate and highly motivated Teaching Faculty. The Undergraduate Division is seeking teaching faculty at all levels with expertise in Bio and AI or Physics and AI.

The target will be teaching part of an interdisciplinary course which explores the intersection of physics, biology, and artificial intelligence, equipping students with analytical and computational tools to model, simulate, and understand complex biological and physical systems.

About MBZUAI – A Global Leader in AI Research and Education

MBZUAI is the world’s first university dedicated exclusively to AI and is rapidly emerging as a global leader in the field. Since its establishment in 2019, MBZUAI has grown into a top-ranked AI institution.

With ambitious plans to expand from 8 to over 20 AI departments and grow its faculty from 84 to 300 by 2030, MBZUAI is on a fast-track growth trajectory. By integrating academia, industry, and government collaboration, we are driving AI innovation to address real-world challenges in healthcare, sustainability, and beyond.

Why Join MBZUAI?

• Top-Tier Compensation: Competitive salaries aligned with leading global academic institutions.
• Exceptional Benefits:
  • Comprehensive health & life insurance
  • Relocation support for international faculty
• Live in Abu Dhabi: World’s safest city, year-round sunshine, rich culture, and modern amenities
• Industry & Government Collaborations: Work with top AI researchers, leading tech firms, and policymakers

Qualifications

This position requires a PhD or Master’s degree in Biophysics, Physics, Biomedical Engineering, Computational Biology, AI/ML, or a closely related field.

Demonstrated Expertise in one or more of the following areas:

Bio and AI:

• Theoretical and computational biophysics
• Machine learning and data analysis for biological systems
• Biomedical imaging and signal processing
• Molecular modeling and simulations
• AI applications in bioinformatics or health sciences

Physics and AI:

• Physics-Informed Machine Learning (PIML): Physics-informed neural networks, with applications to Fluid dynamics, plasma physics, elasticity, weather modeling
• AI for Scientific Discovery in Physics with applications to Material discovery and quantum chemistry - Gen AI designing materials with target properties
• Astrophysics and cosmology: Deep learning for telescope image analysis, gravitational wave detection, dark matter inference
• Foundational and Theoretical Intersections i.e. Statistical mechanics of learning - Understanding generalization, loss landscapes, and over-parameterization using physics analogies or Information theory and thermodynamics of computation: Energy limits, entropy, physical cost of learning
• Quantum Machine Learning (QML) at the intersection of quantum computing and artificial intelligence

Proven teaching experience at the undergraduate or graduate level (or equivalent professional training experience):

• Proven teaching or research supervision experience at the undergraduate or graduate level
• Strong commitment to interdisciplinary education and innovative pedagogy

Preferred Qualifications

• Research or industry experience applying AI to biological/biomedical challenges OR Physics informed AI
• Experience with Python, MATLAB, Pytorch, or other scientific computing tools of the area
• Track record of mentoring students in cross-disciplinary or project-based learning

Application Instructions

To apply for this position, please submit the following:

• Cover letter
• Curriculum Vitae
• Teaching statement
• Reference letters or Name and contact details for three referees

MBZUAI's mission includes fostering a diverse academic community. MBZUAI is an equal opportunity employer. The university actively recruits faculty from around the world, aiming to create an international and inclusive environment that reflects a wide range of cultures and perspectives.

Be a part of AI’s future – apply today at MBZUAI!