Computer Science Professor, Tenured​/Tenure Track

Organisation/Company NEW YORK UNIVERSITY ABU DHABI Research Field Computer science Researcher Profile Leading Researcher (R4) Established Researcher (R3) Final date to receive applications 30 Sep 2026 - 00:00 (UTC) Country United Arab Emirates Type of Contract Permanent Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure?

No

Description

The Division of Science at NYU Abu Dhabi (NYUAD) invites applications for tenured/tenure‑track open-rank faculty positions within its Computer Science Program. The search will prioritize candidates who specialize in Artificial Intelligence (AI) and Machine Learning (ML), including but not limited to areas such as deep learning, natural language processing, computer vision, reinforcement learning, ethical/trustworthy AI, and interdisciplinary applications of AI/ML in various domains.

We welcome applicants working on fundamental advances in AI/ML as well as those applying AI/ML methods to advance other areas of computer science and related disciplines (e.g., software engineering, systems, security, human‑computer interaction, robotics, databases, or related fields). The program seeks candidates who can contribute to our growing AI curriculum through foundational AI/ML courses as well as specialized courses exploring the interaction between AI/ML and other computing disciplines.

Multidisciplinary research and exceptional teaching in a highly diverse and inclusive campus community are hallmarks of the University’s mission. Faculty within the Program of Computer Science at NYUAD are highly collaborative and pursue cutting‑edge research that is very interdisciplinary. Their internationally renowned research projects are in fields that include, but are not limited to: artificial intelligence; big data; bioinformatics; computational sciences;

cybersecurity; human‑data interaction; information and communication technologies for development; machine learning, natural language processing; software engineering and program analysis, and theoretical computer science.

There are many collaboration opportunities within the research centers, which include the Center for Cyber Security (CCS), the Center for Interacting Urban Networks (CITIES), the Center for Artificial Intelligence and Robotics (CAIR), the Center of Interdisciplinary Data Science and Artificial Intelligence (CIDSAI), the Center for Quantum and Topological Systems (CQTS), as well as with faculty in NYU New York’s Courant Institute of Mathematical Sciences and Tandon School of Engineering.

Available openings are at the Assistant, Associate, and Full Professor rank (tenured/tenure‑track). Applicants should hold a PhD and demonstrate an outstanding track record for their career stage, in both research and teaching. This includes having publications in leading peer‑reviewed journals or conferences, as well as experience in or the potential to lead research projects and secure research funding.

Successful candidates will receive a generous startup package, as well as renewable research funding to hire research assistants and postdocs, and will also have access to internal funding. Additional research support includes access to high‑performance computing facilities.

NYUAD is committed to upholding a culture of non‑discrimination, anti‑harassment, dignity, and mutual respect; providing equal access and opportunity; and fostering academic excellence in learning, research, and teaching.

Working for NYUAD

At NYUAD, we recognize that Abu Dhabi is more than where you work; it’s your home. In order for faculty/academic staff to thrive, we offer a comprehensive benefits package. This starts with a generous relocation allowance; educational assistance for your dependents; access to health and wellness services; and more. NYUAD is committed to faculty/academic staff success throughout the academic trajectory, providing support for ambitious and world‑class research projects and innovative, interactive teaching approaches.

Support for dual‑career families is a priority. Visit our website…