Requirements
Candidates must possess a PhD in a relevant field, substantial experience in artificial intelligence and machine learning methods (including PyTorch, TensorFlow, Python), and a strong publication record. Interest in materials applications is also required, with an expectation to lead projects on generative AI for materials discovery and collaborate with experimentalists. The role involves publishing research, presenting at conferences, and potentially assisting in student supervision.
Description
Job description / Role
Job Type
Full Time
Job Location
Abu Dhabi, UAE
Nationality
Any Nationality
Salary
Not Specified
Gender
Not Specified
Arabic Fluency
Not Specified
Job Function
Research & Development (R&D)
Company Industry
Education
Description
The Smart Materials Lab (Pance Naumov Group) at the Division of Science and Mathematics, New York University Abu Dhabi, seeks to recruit a highly motivated post-doctoral candidate in the areas of artificial intelligence (AI) for materials science, with an emphasis on structure-property relationships, materials optimization, materials under extreme conditions, and generative AI.
Candidates must possess substantial experience in artificial intelligence and machine learning methods, specifically in AI-driven materials discovery, machine learning applications for materials, or generative AI related to materials. The successful candidate will independently lead a project focused on developing generative AI models to establish structure-property relationships for materials discovery. This individual will be expected to collaborate closely with the project team and coordinate efforts with experimentalists from the Smart Materials Lab (SML) and the Center for Smart Engineering Materials (CSEM) at NYUAD. The results of this work are anticipated to be published in peer-reviewed journals and presented at prominent conferences. We offer unique opportunities for cross-disciplinary collaborations, organization of scientific workshops, and attendance at conferences.
Key qualifications include a PhD in a relevant field, expertise in AI/ML (e.g., PyTorch, TensorFlow, Python), interest in materials applications, and a strong publication record. The position is for two years, with the possibility of renewal, subject to mutual agreement. The successful candidate is also expected to play an active role in other projects and activities within the Smart Materials Lab and assist in supervising undergraduate or PhD students.
To apply, submit a cover letter, a curriculum vitae that includes a complete publication list, a statement of research interests, a transcript, and three letters of reference, all in PDF format.
The terms of employment are very competitive and include housing and educational subsidies for children. Applications are being accepted immediately, and candidates will be considered until the position is filled.
About NYUAD
NYU Abu Dhabi is a degree-granting research university with a fully integrated liberal arts and science undergraduate program in the arts, sciences, social sciences, humanities, and engineering. NYU Abu Dhabi, NYU New York, and NYU Shanghai form the backbone of NYU’s global network university, an interconnected network of portal campuses and academic centers across six continents that enable seamless international mobility of students and faculty in their pursuit of academic and scholarly activity. This global university represents a transformative shift in higher education, one in which the intellectual and creative endeavors of academia are shaped and examined through an international and multicultural perspective. As a major intellectual hub at the crossroads of the Arab world, NYUAD serves as a center for scholarly thought, advanced research, knowledge creation, and sharing, through its academic, research, and creative activities.
Equal opportunity employer: minorities, females, veterans, disabled individuals, sexual orientation, and gender identity are encouraged to apply. UAE nationals are encouraged to apply.
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