Faculty Strategic Research Clusters

Description:

Successful candidates will join one of three Faculty Strategic Research Clusters while being academically based within a host School aligned with their disciplinary expertise. This model combines the strengths of a disciplinary home with opportunities to collaborate across Schools, establish internationally competitive research programs, and contribute to innovative research-led education. They will benefit from:
 

• Membership of a Faculty-wide Strategic Research Cluster
• Opportunities to build interdisciplinary collaborations across Schools and disciplines
• Research development, mentoring and career support
• Access to competitive internal funding opportunities
• A vibrant and inclusive research environment.
  
   

UNSW Science is committed to gender equity across our academic workforce. As part of this initiative, UNSW Science is seeking to achieve a recruitment outcome of at least 50% women through proactive attraction and equitable recruitment practices. All appointments will be made on merit. We strongly encourage applications from women, and from candidates of all backgrounds who will contribute to a diverse, inclusive and collaborative Faculty.

Strategic Research Clusters
 

• Digital-led Discovery and Design of New Materials
  
   

Help Shape The Future Of Materials Discovery By Combining Computational, Theoretical And Experimental Approaches To Design The Next Generation Of Functional Materials. We Are Seeking Researchers Who Utilise Digital Technologies, Data-driven Approaches And Experimental Methods To Accelerate Materials Discovery And Engineering. Research Areas Of Interest Include
 

• Artificial intelligence and machine learning for materials discovery
• Computational and multiscale materials modelling
• Biomaterials, bio-inspired materials and their underlying physics
• Tissue engineering and regenerative materials
• Functional and structural materials
• Soft matter and active matter
• High-throughput experimentation and screening
• Chemical and physical approaches to materials design
• Engineering biology and synthetic biology platforms for materials innovation.
  
   

This Cluster brings together expertise across the Schools of Materials Science & Engineering, Physics, Chemistry, Mathematics & Statistics, and Biotechnology & Biomolecular Sciences
 

• Environmental Resilience: Prediction, Protection and Restoration
  
   

Advance The Resilience And Protection Of Our Environment Through Improved Environmental Sensing And Prediction With Remote Sensing, AI, Environmental Genomics, One Health, Climate Modelling, Biodiversity And Ecosystem Restoration. We Welcome Researchers Whose Work Improves Our Ability To Understand, Predict And Protect Natural And Managed Environments. Research Areas Of Interest Include
 

• Environmental sensing, imaging and remote sensing technologies
• Environmental and non-human genomics, microbiomes and One Health
• Climate modelling and prediction
• Artificial intelligence for environmental science
• Carbon modelling and net-zero solutions
• Biodiversity and ecosystem resilience
• Habitat restoration and environmental remediation
• Environmental biotechnology and bioremediation
• Environmental policy, decision support and climate risk
• Hybrid AI and physics-based environmental and climate modelling.