Associate AI Materials Discovery Scientist

New York University; Al Ruways Industrial City; On-site; AED 80,000 - 100,000; Full time

Benefits offered by this job

Competitive employment terms

Housing support

Educational subsidies for children

Access to cross-disciplinary collaborations

Job summary

New York University in Abu Dhabi is seeking an Associate Research Scientist to lead research on generative AI models for materials discovery. The position will focus on developing AI solutions that connect material structure with performance, while collaborating with experimental researchers in the Smart Materials Lab.

The ideal candidate will have a PhD and substantial experience in AI and machine learning, strong publication history, and a keen interest in materials science applications. This role offers competitive terms and opportunities for academic growth.

Qualifications

• PhD in relevant field with at least 3 years of experience post-doctorate.
• Strong expertise in AI-driven materials discovery and machine learning applications.
• Proven ability to lead independent research projects and strong publication record.

Responsibilities

• Lead independent research on generative AI models for materials discovery.
• Develop AI approaches to correlate material structure with performance.
• Publish findings in peer-reviewed journals and present at conferences.

Skills

Artificial intelligence

Machine learning

Generative AI

Python

PyTorch

TensorFlow

Research data analysis

Student supervision

Education

PhD in materials science, chemistry, physics, computer science, engineering

Tools

AI and data science tools

Job description

New York University in Abu Dhabi is seeking an Associate Research Scientist to lead research on generative AI models for materials discovery. The position will focus on developing AI solutions that connect material structure with performance, while collaborating with experimental researchers in the Smart Materials Lab.

The ideal candidate will have a PhD and substantial experience in AI and machine learning, strong publication history, and a keen interest in materials science applications. This role offers competitive terms and opportunities for academic growth.