Tenured/Tenure-Track Faculty Positions in Computer Science
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 whose research advances the theoretical foundations of AI/ML and/or explores novel methodologies and transformative applications that address real-world challenges.
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 analysis, and theoretical computer science.
There are many collaboration opportunities within the research centers, which include the Center for Cyber Security, 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, 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. As part of a multi-year hiring plan, we are interested in excellent candidates from Artificial Intelligence and Machine Learning, but may also consider other areas of Computer Science, including, but not limited to the fields where we have current strengths.
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.
The prudent fusion of science and other academic disciplines at NYUAD has resulted in the creation of state-of-the-art, interdisciplinary research centers, and core technology platforms, in which questions are answered and problems tackled by scientists of international distinction.
Qualifications
This position requires a Ph.D. in Computer Science or other related fields. We seek applicants who have, or have the potential to develop, a strong record of scholarship and have the ability to conduct and develop high-quality research.
Application Instructions
To apply for this position, please submit the following items:
- Cover Letter
- CV including a list of publications and summary of up to five (5) significant research contributions.
- Research Statement
- Teaching Statement
- Community contribution statement. This item also gives an opportunity to discuss the candidate’s societal impact and outreach activities.
- Contact information of 3 references for recommendation letters to be solicited at a later stage of the search process. Do not include the letters in the uploaded documents.
We will begin reviewing applications immediately. Shortlisted candidates are expected to be invited for campus visits in Abu Dhabi and New York in Spring 2026. We anticipate that successful candidates can start the appointment and relocate to Abu Dhabi in the academic year 2026-2027, subject to final budget approval.
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