Postdoc: AI-Driven Materials Discovery

New York University; Al Ruways Industrial City; On-site; AED 200,880 - 312,480; Full time

Benefits offered by this job

Competitive salary package with housing support

Access to advanced research facilities

Opportunities for workshops and global conferences

Job summary

New York University Abu Dhabi seeks a Postdoctoral Associate to lead research on AI for materials science. The role includes developing machine learning models and collaborating with multidisciplinary teams to optimize materials under extreme conditions.

Ideal candidates will hold a PhD in a relevant field and demonstrate experience in AI-driven materials discovery. This position offers a competitive salary, housing support, and opportunities for global conferences and academic growth.

Qualifications

• Strong expertise in artificial intelligence and machine learning for scientific applications.
• Proven experience in AI-driven materials discovery or generative AI related to materials research.
• Strong academic publication record in high-quality peer-reviewed journals.

Responsibilities

• Lead independent research projects involving generative AI for materials discovery and optimization.
• Develop machine learning models to establish structure–property relationships for advanced materials.
• Collaborate with researchers from the Smart Materials Lab and the Center for Smart Engineering Materials.

Skills

Python programming

PyTorch

TensorFlow

Machine learning model development

Generative AI applications

Data-driven materials discovery

Structure–property relationship modeling

Scientific computing and research analytics

Technical writing and academic publishing

Laboratory collaboration and research supervision

Education

PhD in Materials Science, Physics, Chemistry, Computer Science, Engineering, or a closely related discipline

Job description

New York University Abu Dhabi seeks a Postdoctoral Associate to lead research on AI for materials science. The role includes developing machine learning models and collaborating with multidisciplinary teams to optimize materials under extreme conditions.

Ideal candidates will hold a PhD in a relevant field and demonstrate experience in AI-driven materials discovery. This position offers a competitive salary, housing support, and opportunities for global conferences and academic growth.