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Research AI Scientist - Center for Research Computing (Fixed - Term for 3 years) - Job Opportunity at NYU Abu Dhabi

Abu Dhabi, AE
Contract
Mid-level
Posted: July 3, 2025
On-site
USD 80,000 - 120,000 per year. This estimate reflects the mid-level nature of the role, the prestigious institutional setting, and the UAE's competitive compensation packages for international talent in AI research. The tax-free income structure in the UAE effectively increases the value of this compensation range.

Benefits

Access to cutting-edge research facilities and high-performance computing resources at a premier global university
Opportunity to work within NYU's interconnected global network spanning six continents with seamless international mobility
Exposure to multicultural academic environment at the crossroads of the Arab world
Professional development through collaboration with international faculty and researchers
Access to advanced AI frameworks, cloud computing platforms, and state-of-the-art research infrastructure

Key Responsibilities

Drive AI innovation across multiple domains by collaborating with faculty and researchers to advance cutting-edge research in NLP, ML, and Computer Vision, directly impacting academic breakthroughs
Lead the development of novel machine learning algorithms and AI methodologies that solve complex problems and enhance product offerings, positioning the institution at the forefront of AI research
Design and execute sophisticated experiments to validate hypotheses and derive actionable insights, contributing to evidence-based decision making and research advancement
Spearhead cross-functional integration of AI solutions into existing products and workflows, ensuring seamless adoption and maximizing operational efficiency
Establish thought leadership through comprehensive training, engagement, and outreach initiatives to build AI capabilities across the researcher and faculty community

Requirements

Education

Master's Degree in computer science, Artificial Intelligence, Machine Learning, or a related field

Experience

3+ years

Required Skills

Proficiency in programming languages such as Python and relevant libraries (e.g., NumPy, SciPy, scikit etc.) and experience with AI frameworks like TensorFlow or PyTorch Strong background in statistical analysis and data modeling techniques Deep understanding of machine learning algorithms and their applications Experience with data preprocessing, feature engineering, and model evaluation Strong coding skills in Python or similar languages, with experience in version control systems like Git Ability to develop applications using Machine Learning and Artificial Intelligence Ability to clearly communicate technical concepts to non-technical audience Ability to keep up to date with technological advances Ability to work in a team-based environment and contribute positively to it Ability to work on own initiative and as part of a team Ability to work with individuals at all levels and diplomatically manages their expectations Creative problem-solving abilities and initiatives Strong organizational skills Strong presentation and report writing skills Excellent communication, interpersonal and analytical skills Ability to manage conflicting priorities in an effective and professional manner
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Sauge AI Market Intelligence

Industry Trends

The Middle East is experiencing unprecedented investment in AI and research infrastructure, with the UAE positioning itself as a global AI hub through initiatives like the UAE AI Strategy 2031, creating substantial opportunities for AI researchers in the region. Academic institutions worldwide are increasingly establishing dedicated AI research centers and hiring specialized AI scientists to maintain competitive advantage in the global research landscape, particularly in interdisciplinary applications. The convergence of traditional academic research with industry-applicable AI solutions is driving demand for professionals who can bridge theoretical research with practical implementation, especially in emerging markets like the UAE. Generative AI and large language models are reshaping research methodologies across disciplines, creating new opportunities for AI scientists who can adapt these technologies for academic and research applications.

Role Significance

Typically operates within a research team of 8-15 professionals, including other AI scientists, data scientists, research assistants, and graduate students. The role involves extensive collaboration with faculty members across various departments, potentially influencing research projects affecting hundreds of students and researchers.
This is a mid-level research position with significant autonomy and impact potential. The role reports to a Research Data Scientist II, indicating a structured research hierarchy while providing substantial independence in research direction and methodology. The position carries responsibility for shaping AI capabilities across multiple academic disciplines.

Key Projects

Development of domain-specific AI models for academic research applications across multiple disciplines Implementation of large-scale machine learning systems for processing research data and supporting faculty investigations Creation of AI-powered research tools and platforms that enhance productivity and capabilities across the university Establishment of AI training programs and workshops for faculty and graduate students Collaboration on interdisciplinary research projects that apply AI to solve complex academic and societal challenges

Success Factors

Technical Excellence: Mastery of multiple AI frameworks and the ability to rapidly adapt to emerging technologies will be crucial for staying at the forefront of research and providing valuable support to diverse faculty needs. Cross-Cultural Communication: Success in the UAE's multicultural academic environment requires exceptional ability to communicate complex AI concepts to researchers from diverse cultural and academic backgrounds, facilitating effective collaboration and knowledge transfer. Research Translation: The ability to bridge the gap between cutting-edge AI research and practical applications will be essential for demonstrating value to faculty and contributing to meaningful research outcomes across multiple disciplines. Continuous Learning: The rapidly evolving AI landscape demands commitment to continuous skill development and staying current with emerging technologies, particularly in generative AI and specialized research applications. Collaborative Leadership: Success requires the ability to lead technical initiatives while working collaboratively with faculty, students, and research teams, balancing independent research with service to the broader academic community.

Market Demand

High. The demand for AI researchers in academic institutions is exceptionally strong, particularly in the Middle East where governments are investing heavily in AI infrastructure and research capabilities. The specialized nature of this role combining research, teaching, and practical AI implementation makes qualified candidates highly sought after.

Important Skills

Critical Skills

Python programming proficiency with AI/ML libraries is absolutely essential as this forms the foundation for all technical work, from data preprocessing to model development and deployment in research environments. Deep understanding of machine learning algorithms and their applications is crucial for providing meaningful support to faculty across diverse research domains and for developing novel solutions to complex research problems. Strong communication skills for explaining technical concepts to non-technical audiences are vital for success in this role, as much of the work involves collaborating with faculty from various disciplines who may not have deep technical AI knowledge. Experience with AI frameworks like TensorFlow or PyTorch is critical for implementing and adapting state-of-the-art models for research applications and staying current with rapidly evolving AI technologies.

Beneficial Skills

Cloud computing experience with AWS, Azure, or GCP becomes increasingly valuable as research scales and requires distributed computing resources, particularly for large-scale AI experiments and data processing. Familiarity with generative AI tools and frameworks represents a significant advantage given the current AI landscape and the growing integration of these technologies in research applications across multiple disciplines. Experience in academic or research environments is highly beneficial for understanding the unique requirements, timelines, and success metrics of academic research compared to industry applications. Knowledge of reinforcement learning, NLP, or computer vision provides specialization opportunities and enables deeper collaboration with faculty in specific research areas where these technologies are most applicable.

Unique Aspects

Opportunity to work at the intersection of cutting-edge AI research and Middle Eastern development initiatives, providing unique perspectives on AI applications in emerging markets and diverse cultural contexts.
Access to NYU's global network spanning six continents, enabling unprecedented collaboration opportunities and potential for international research partnerships and mobility.
Fixed-term contract structure provides flexibility for career development while offering stability and the opportunity to build a strong research portfolio in a prestigious institutional setting.
Unique positioning to contribute to the UAE's AI strategy and regional technological development while maintaining connections to global academic and research networks.
Opportunity to work with diverse international faculty and students, providing exposure to varied research methodologies and cultural perspectives that can enhance research innovation and global impact.

Career Growth

Career progression to senior research roles typically occurs within 3-5 years with demonstrated research output and leadership capabilities. The fixed-term nature of this position provides an excellent opportunity to build a strong research portfolio and establish international connections that can accelerate career advancement in either academic or industry settings.

Potential Next Roles

Senior Research AI Scientist or Principal AI Researcher at academic institutions or research organizations AI Research Director or Head of AI Research Center at universities or research institutes Industry transition to Senior AI Scientist or Research Manager roles at technology companies or consulting firms Academic pathway to Research Professor or Faculty positions with specialization in AI and machine learning Leadership roles in government AI initiatives or policy development, particularly in the Middle East region

Company Overview

NYU Abu Dhabi

NYU Abu Dhabi represents a premier global university initiative, functioning as a fully integrated liberal arts and science institution within NYU's international network. The university serves as a major intellectual hub positioned strategically at the crossroads of the Arab world, with strong emphasis on research excellence and global collaboration.

NYUAD holds a prestigious position in the global higher education landscape, backed by NYU's international reputation and substantial investment from the UAE government. The institution attracts world-class faculty and students, positioning it as a leading research university in the Middle East and a significant player in global academic networks.
The university serves as a crucial bridge between Western academic excellence and Middle Eastern regional development, offering unique opportunities for research collaboration and cultural exchange. Its location in Abu Dhabi provides access to significant research funding and government support for AI initiatives, while maintaining connections to global academic networks.
The work environment emphasizes international collaboration, research excellence, and cultural diversity. Faculty and staff benefit from a collegial atmosphere that encourages innovative thinking and cross-disciplinary collaboration, supported by state-of-the-art facilities and resources comparable to top-tier global universities.
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