Your AI career in the UAE starts here

Job DescriptionPurpose of this Role:The VP and Head of AI Lab leads the bank's AI delivery engine. The role is accountable for executing the bank's AI operating model and strategy, scaling its portfolio of strategic AI assets, and operationalizing AI across the enterprise so that it generates measurable value for customers, employees, and shareholders.The Head of AI Lab oversees two delivery squads that build and run the bank's flagship AI products, while also enabling the wider organization to adopt AI tools, platforms, and capabilities responsibly. The role combines hands-on portfolio leadership with strategic ecosystem building, executive engagement, financial stewardship, and people development.What You Will DoStrategy and Operating Model ExecutionTranslate the bank's AI strategy into an executable portfolio of products, releases, and platform capabilities.Operate the AI operating model end-to-end, from intake and prioritization through delivery, deployment, and continuous improvement.Maintain alignment between the AI Lab roadmap, enterprise priorities, and divisional business plans.Squad and Portfolio LeadershipLead two diverse squads covering customer experience AI products and internal productivity AI solutions, each with distinct missions, talent profiles, and stakeholders.Partner with the AI Delivery Lead to remove blockers, mitigate delivery risk, and ensure on-time release of strategic assets and committed milestones.Empower squad leads and product managers to operate with autonomy, clarity of priorities, and full ownership of outcomes.Democratization and Operationalization of AIEquip the organization with the right AI tools, platforms, and reusable assets to accelerate safe, productive adoption across functions.Build a community of practice and an enablement framework so that teams across the bank can apply AI confidently in their day-to-day work.Drive change management, capability uplift, and cultural reinforcement so AI becomes embedded in everyday ways of working.Stakeholder Management and Executive Reporting.Prepare and run weekly Chief Customer Officer reviews and monthly CEO updates, ensuring material is high quality, aligned with strategic priorities, and prepared well in advance.Build trusted relationships with department heads and squad sponsors to socialize AI opportunities and convert them into prioritized, well-scoped initiatives.Maintain alignment with peer leaders across Enterprise Architecture, Technology Delivery, Risk, Compliance, and other AI-related functions. Partnerships, Ecosystem, and R&DIdentify, evaluate, and onboard external AI providers, technology partners, and strategic investment opportunities to accelerate the bank's AI ambitions.Build and nurture relationships across the regional and global AI ecosystem to bring leading capabilities into the bank.Sustain a meaningful R&D capability within the Lab, whether through in-house experimentation, academic collaborations, or co-development with vendors and partners.Agile Practice and Cross-Functional Alignment.Operate as an active member of the Agile community, working closely with the Enterprise Project Management Office (EPMO), the Agile practice, and the relevant chapters.Synchronize AI Lab ceremonies, releases, and planning cycles with enterprise delivery rhythms and quarterly business reviews. People Leadership and DevelopmentBuild, coach, and retain a high-performing, diverse team of AI product, delivery, engineering, and science talent.Set clear performance expectations, invest in career development, and shape a culture of accountability, curiosity, and disciplined execution.Financial Accountability.Own the AI Lab's CapEx and OpEx envelope in collaboration with the AI Delivery Lead and Finance partners.Ensure the program is delivered within budget and that investment decisions are tied to measurable business outcomes. Decision-Making AuthorityPrioritization and sequencing of the AI Lab portfolio within the agreed strategic envelope.Selection of AI tooling, platforms, and architectural patterns within enterprise governance.Selection and onboarding of AI vendors, partners, and research collaborators.Resourcing decisions across the squads, including hiring, talent allocation, and role design.Release and go-live decisions for AI products, in coordination with Risk, Compliance, and Technology partners.What We Are Looking ForBachelor's degree in Computer Science, Engineering, Mathematics, Statistics, or a related quantitative or technology discipline. A Master's or post-graduate qualification in AI, Data Science, or a related field is a plus but not required.10 to 12 years of progressive experience across AI, data science, advanced analytics, or technology product delivery, with at least 3 to 4 years leading teams of engineers, data scientists, or AI product talent.Hands-on experience delivering AI or analytics products end-to-end, from concept through production and adoption. Direct experience with Generative AI is preferred.Experience working in banking, financial services, or another regulated industry is preferred. Exceptional candidates from technology, consulting, or product backgrounds with strong domain partners will also be considered.Demonstrated ability to manage a portfolio of initiatives, executive-level stakeholders, and a meaningful budget.Comfortable operating inside an agile delivery environment and partnering with product, engineering, and control functions.Required CompetenciesAI and Machine Learning Strategy: ExpertGenerative AI, Large Language Models, and Agentic Systems: ExpertAI Product Delivery and MLOps: ExpertCloud and Data Platforms: AdvancedAI Governance, Responsible AI, and Model Risk: AdvancedSolution Architecture for AI: AdvancedCybersecurity and Data Privacy Awareness: Advanced

About the CompanyCNTXT AI is a UAE-based Data and AI company helping organizations become AI-ready through sovereign, end-to-end solutions built in the region and designed to scale globally. We provide secure data services, custom AI solutions, and industry-specific applications that simplify AI adoption and enable seamless deployment. Our expertise spans the full AI lifecycle — from data advisory, labeling, and annotation to advanced machine learning, multimodal AI systems, and intelligent applications. With Arabic-first, domain-specific innovation, CNTXT AI delivers practical AI solutions that help enterprises and governments reduce costs, accelerate growth, and maintain full control over their data. As CNTXT AI continues its rapid growth across AI infrastructure, data services, robotics, voice AI, and enterprise AI applications, we are looking for an exceptional Chief of Staff to help drive strategic execution and organizational scale.About the RoleThe Chief of Staff serves as a strategic advisor, operator, and execution partner to the CEO. This role is responsible for ensuring the successful execution of CNTXT AI strategic priorities while improving organizational alignment, operational efficiency, and decision-making. The ideal candidate combines the analytical rigor of a consultant, the operational excellence of a business operator, and the execution capabilities of a startup leader. You will work directly with the CEO and executive leadership team to drive company-wide initiatives, establish operational discipline, and accelerate growth. This is not an administrative role. It is a high-impact leadership position designed for someone who can operate across strategy, operations, finance, partnerships, product, AI, and organizational development.Responsibilities Executive Partner to the CEOServe as a trusted advisor and thought partner to the CEO.Support strategic decision-making through research, analysis, and recommendations.Act as an extension of the CEO across critical initiatives.Ensure key priorities receive appropriate focus and execution.Prepare executive briefings, leadership communications, board materials, and investor presentations.Help drive accountability across the leadership team. Corporate Strategy & Business PlanningPartner with leadership to define company strategy and long-term growth plans.Lead annual operating planning and quarterly business reviews.Develop and manage company-wide OKRs and performance frameworks.Monitor strategic initiatives and ensure progress against goals.Conduct market research, competitive intelligence, and industry analysis.Evaluate expansion opportunities, partnerships, acquisitions, and new business initiatives. Strategic Program ManagementLead cross-functional strategic initiatives from concept through execution.Coordinate projects involving:AI ProductsData OperationsRoboticsVoice AIEnterprise SolutionsGrowth & MarketingEstablish governance frameworks for major company initiatives.Identify risks, dependencies, and mitigation plans.Ensure projects are delivered on time and aligned with strategic objectives. Business Operations & Organizational ExcellenceDesign and improve company-wide operating systems and business processes.Drive operational excellence across departments.Implement scalable management frameworks to support growth.Develop executive dashboards and reporting mechanisms.Identify bottlenecks and operational inefficiencies.Improve cross-functional collaboration and communication. Executive Reporting & AnalyticsBuild executive-level reporting systems across:RevenueProductGrowthOperationsTalentAnalyze performance metrics and provide actionable recommendations.Develop board-ready reports and presentations.Ensure leadership has visibility into company performance and risks. Organizational Development & Leadership EnablementSupport organizational design and workforce planning.Work with leadership on:Organizational structureLeadership effectivenessSuccession planningPerformance managementFacilitate leadership meetings and strategic workshops.Drive initiatives that improve alignment, accountability, and execution. Partnerships, Investors & External StakeholdersSupport strategic partnerships and business development initiatives.Assist with investor relations and fundraising activities.Prepare materials for investors, partners, and government stakeholders.Represent the Executive Office in meetings and engagements when required. Special ProjectsLead high-priority CEO-sponsored initiatives such as:Market expansion strategiesNew product launchesM&A evaluationsOrganizational transformation projectsStrategic partnershipsAI ecosystem initiativesGovernment and enterprise opportunitiesQualifications8–15 years of experience in:Management ConsultingStrategyBusiness OperationsCorporate DevelopmentProgram ManagementChief of Staff rolesExperience working directly with C-level executives, founders, or boards.Strong understanding of business operations and organizational scaling.Demonstrated ability to manage highly complex cross-functional initiatives.

An Exhilarating OpportunityAre You Ready for a Daring Challenge with The World’s Hottest Luxury Hotel Group? Disruptive by Design, FIVE Hotels and Resorts is Redefining ‘FIVE-Star’ Hospitality and Setting the Gold Standard across the Industry. Join the FIVE Tribe - and Get Ready to Make Waves. The CandidateA Driven Self-Starter, you have Excellent Communication, Leadership and Organisational Skills. As an Astute Creative and Critical Thinker, you can Conceptualise and Implement Innovative Solutions in a Fast-Paced Environment. Not even the Smallest Detail Escapes Your Keen Eye and You Execute Tasks Proactively with Precision and Finesse. A ‘Can-Do!’ Attitude Coupled with An Inherent Flair for Taking Ownership Makes You a Highly Motivated Go-Getter. Your Outgoing and Approachable Nature enables you to Seamlessly Connect with other ‘FIVERs’ and key Stakeholders, ensuring that Their and Your Journey at FIVE is nothing short of Sensational. Joining our Digital Marketing Team as Junior AI Engineer / Data Scientist Role will Empower you to deliver Exceptional Experiences across our award-winning Lifestyle Destinations. Jump on Board and Unlock your Potential in a Buzzing Environment that will take your Career to New Heights! What We’re Looking For Experience 0–3 years of experience in Data Science, Artificial Intelligence, Machine Learning, Data Engineering, or related fields Hands-on experience through internships, research projects, freelance work, or personal projects involving AI, analytics, or software development Exposure to real-world business applications of AI, machine learning, analytics, or automation is preferred Technical Skills Strong proficiency in Python and SQL (mandatory) Solid understanding of data analysis, statistics, and machine learning fundamentals Familiarity with machine learning frameworks and libraries (such as Scikit-learn, Pandas, NumPy) Experience working with APIs, structured and unstructured data sources Understanding of LLMs, AI agents, prompt engineering, and API-based AI workflows Basic familiarity with cloud platforms (AWS preferred), including storage and compute services Understanding of data ingestion, ETL processes, and pipeline design Knowledge of data visualization and reporting tools is an advantage Core Competencies Strong analytical and problem-solving mindset Ability to translate ambiguous business requirements into practical solutions High attention to detail and commitment to data accuracy Pragmatic approach to building scalable and maintainable solutions Strong communication skills with both technical and non-technical stakeholders Curiosity, adaptability, and eagerness to learn emerging AI technologies What Makes This Role Unique Opportunity to work on real-world AI solutions used by operations, marketing, reservations, revenue teams, and guests Exposure to cutting-edge AI technologies, LLMs, conversational AI, and advanced analytics High ownership and visibility from the beginning of your career Strong mentorship and accelerated learning environment Direct impact on business performance, guest experience, and operational efficiency Performance KPIs Successful delivery of AI and data projects Accuracy and reliability of data pipelines and models Improvement in automation and operational efficiency Quality and performance of AI assistants and applications Adoption and business impact of deployed solutions Key Responsibilities AI & Data Applications Build and maintain Python applications leveraging machine learning models, LLM APIs, structured data, and cloud services Develop AI-powered tools and assistants that improve operational efficiency and guest experiences Support the design and deployment of conversational AI solutions across web and messaging platforms Collaborate with business teams to identify opportunities for AI-driven automation Data Engineering & Pipelines Build, maintain, and optimize data pipelines for machine learning, analytics, and reporting Collect, clean, transform, and structure data from multiple internal and external sources Ensure data quality, consistency, and reliability across systems Support integration of APIs, cloud storage, and business platforms Machine Learning & Model Evaluation Develop and test machine learning models for forecasting, personalization, and business optimization Evaluate model performance using appropriate metrics, validation frameworks, and monitoring processes Assist in feature engineering, model tuning, and performance analysis Monitor deployed models and identify opportunities for continuous improvement Business Problem Solving Work closely with stakeholders across reservations, marketing, revenue, and operations teams Translate business requirements into practical AI and data solutions Analyse complex datasets to uncover actionable insights and recommendations Support decision-making through data-driven analysis and reporting Documentation & Continuous Improvement Write clean, maintainable, and reusable code following best practices Document technical processes, models, and system architectures Stay updated with emerging AI technologies, tools, and industry trends Contribute to the continuous improvement of data and AI capabilities across the organization The Team‘FIVERs’ are Cultured yet Chic, Confident yet Self-Effacing, and Work Hard to Play even Harder. As a FIVE Tribe Member, you'll Personify the distinct ‘Vibe at FIVE’ and apply it to create Insta-Perfect Experiences for our Guests that keeps them Coming Back for More. If you Dream of being surrounded by Like-Minded Individuals who share your Passion for Delivering Unforgettable Moments that last a Lifetime – then Look No Further and Unleash your Next-Level Potential. Sustainable Indulgence at FIVEFIVE is a leader in Sustainable Luxury Living and Hospitality, with its UAE-based Destinations being the first and only Hotels in the UAE to obtain the International Renewable Energy Certificates (I-REC) for achieving 100% renewable electricity for 2022. The company's Science-Meets-Styled ‘Sustainable Indulgence’ Ethos has led to a completely LEED Platinum-certified operational hospitality portfolio. FIVE Palm Jumeirah and FIVE Jumeirah Village are also 3 Star SPIRE Rated Smart Buildings. FIVE Zurich, the only LEED Platinum hotel in Switzerland, achieved an impressive 84 Points under LEED v4's BD+C and ID+C rating system, making it one of just five hotels worldwide to receive Platinum Certification. FIVE illustrates its Commitment to making ‘Sustainability without Compromise on Luxury Living’ central to its Future Vision, with FIVE LUXE already on track to acquire LEED Platinum (BD+C). These Achievements highlight FIVE’s Comprehensive and Committed Scope of Sustainability Strategy permeating Operations, Governance and Community. An Equal Opportunity EmployerThe FIVE Tribe represents over 70 nationalities across its over 1500 ‘FIVERs.’ FIVE is Committed to Hiring a Diverse and Inclusive Workforce as an Equal-Opportunity Employer. Accordingly, FIVE does not discriminate based on disability, race, age, sex, gender, sexual orientation, ethnicity, religion or belief, nationality, marital status, or any other basis protected under national or local laws. Ranked 10th on the Great Workplaces in the UAE 2023 list of Large Organizations, the FIVE Tribe is more than a group of people working together – it is a Family bonded by common Values and Goals, Celebrating People, Culture and Diversity. About FIVE Hotels and ResortsFIVE Hotels and Resorts prides itself on being Disruptively Different and Daringly Unique. Our Growing Portfolio of Lavish Destinations are the epitome of Glamour and Experiential Luxury, and currently consists of FIVE Palm Jumeirah, FIVE Jumeirah Village, FIVE Zurich and FIVE LUXE. Joining our Exceptional FIVE Tribe means you are part of a team who Breaks Boundaries and offers Unbeatable Next-Level Experiences at FIVE’s award-winning Hotels, Dining Concepts, and 360-Degree Immersive Nightlife Venues. As part of the Accomplished FIVE Tribe, you will be part of a group of High Achievers who Fearlessly Challenge Conventions on a Global Stage. Find out more here: fivehotelsandresorts.com About FIVE HoldingsFIVE Holdings is a vertically integrated Group, and its current Portfolio includes 3 luxury hotels in the UAE, FIVE Palm Jumeirah, FIVE Jumeirah Village and FIVE LUXE, a hotel in Switzerland, FIVE Zurich, 2 hotels in Spain, Destino Pacha and El Hotel Pacha, a nightclub in Spain, Pacha Ibiza, 2 eponymous Fashion Lines, FIVE Mode and The Pacha Collection in the UAE and Spain; as well as a range of assets that include Toy Room, and WooMoon Storytellers (Globally).FIVE’s focus is on a ‘Global Sustainable Entertainment Ecosystem,’ which is the integration of immersive entertainment with homegrown F&B concepts that results in a distinctive guest experience for an international and affluent audience of luxury-loving, eco-conscious Millennial and Gen-Z customers. The success of FIVE’s ‘Global Sustainable Entertainment Ecosystem’ is evident in its RevPAR being 1.4X, its F&B PAR being 3X and its TRevPAR being 2.1X greater than their respective competitor sets in Dubai for 2023.Find out more here: fiveglobalholdings.com

SummaryThe Chief Technology Officer (CTO) is responsible for defining and executing Finance House Group’s technology vision, driving the transition to a cloud native, API driven, and AI powered banking ecosystem. The role enables digital products, scalable platforms, and data driven decision making, positioning technology as a key driver of growth, efficiency, and customer experience.Key ResponsibilitiesTechnology Strategy & ArchitectureDefine and execute FHG’s enterprise technology strategy aligned with business and product priorities. Establish scalable, secure, and modern architecture leveraging microservices, APIs, and cloud native platforms. Ensure technology capabilities support innovation, agility, and long term growth. AI, Data & Enterprise InnovationDrive the implementation of AI across IT systems, platforms, and processes, embedding intelligence wherever feasible. Enable enterprise-wide AI adoption by building robust technology architecture and infrastructure to support AI solutions teams. Establish scalable data platforms to support AI/ML, analytics, and real time decision making. Define and implement MLOps, data governance, and model lifecycle management frameworks. Partner with business and AI teams to industrialize AI use cases across customer, risk, fraud, and operations. Engineering & Digital PlatformsOversee development and evolution of digital platforms (mobile, web, lending, payments). Implement Agile, DevOps, and CI/CD practices to improve speed, quality, and reliability of delivery. Ensure systems are resilient, high performing, and scalable. Core Systems & Cloud TransformationLead modernization of legacy systems using modular, API led approaches. Drive adoption of hybrid/multi cloud infrastructure and platform engineering practices. Optimize technology stack for performance, scalability, and cost efficiency. Cybersecurity & ComplianceEstablish and enforce enterprise cybersecurity frameworks, including Zero Trust and data protection. Ensure compliance with UAE regulatory requirements and international standards. Strengthen resilience, risk management, and incident response capabilities. Ecosystem & Open BankingBuild API platforms to enable fintech partnerships and embedded finance capabilities. Support platform based models, including Banking as a Service (BaaS). Leadership & GovernanceLead and develop high performing technology, engineering, and data teams. Manage budgets, vendor ecosystem, and technology investments. Establish governance across architecture, delivery, security, and data. Strategic Technology PrioritiesEstablish a cloud native, API first technology foundation. Build enterprise data platforms enabling real time insights and decision-making. Scale AI adoption across the organization through strong IT architecture and infrastructure enablement. Enable intelligent automation and AI driven productivity tools. Advance digital platforms with embedded personalization and real-time decisioning. Expand ecosystem integrations and open banking capabilities. Strengthen cybersecurity, data protection, and regulatory alignment. Explore and implement emerging technologies such as blockchain, embedded finance, and digital identity. RequirementsProven experience in a CTO or senior technology leadership role. Strong expertise in enterprise architecture, cloud, AI/ML, and digital platforms. Experience in banking or financial services transformation. Strong business and strategic acumen with the ability to align technology with growth objectives. Excellent leadership and stakeholder management skills. Qualifications & ExperienceBachelor’s degree in Computer Science, Engineering, or a related field. Master’s degree preferred. 15+ years of experience, including 8+ years in senior leadership roles.

The Laboratory for Computer-Human Intelligence in the Division of Engineering, New York University Abu Dhabi, seeks to recruit a motivated Research Assistant to work on cutting-edge machine learning / artificial intelligence / data science applications that utilize human signals (e.g. text, audio, physiology).The RoleThe Research Assistant will work on research projects in the Laboratory for Computer-Human Intelligence under the direction of the Principal Investigator Tuka Alhanai. Research projects range from implementing machine learning algorithms that measure cognitive outcomes, to visualizing patterns that map population-level health and well-being. The Research Assistant is expected to develop creative solutions to day-to-day technical challenges, think critically about meaningful next steps in the research process, and lucidly relay their thoughts, insights, and conclusions to high-level executive audiences and technical peers. It is not expected that the applicant be perfect at these tasks, but will motivated and self-driven to develop the necessary skills to master the role of a researcher.Key ResponsibilitiesIn the capacity of a researcher, the individual is expected to generally conduct the following activities. The specifics are dependent on the nature of the project they work on.Data Curation: Develop data ingestion engine(s) (appropriate for the data type) to organize the data that simplifies processing conducted with the data. Researcher will utilize any of sensors, front-end web-based applications, and databases to collect and organize data.Multimodal Signal Processing: involves processing data of different types (e.g. audio, text, physiology, image, movement), using computational methods. Most data is noisy and needs to be cleaned and reduced into a salient representation.Machine Learning: involves applying algorithms to automatically detect patterns in data and model outcomes of interest. Many if the latest modeling approaches are little understood, and require computational power to digest information beyond what humans are able to process.Visualization: Representation of data and results in the form of plots, charts, and images. This helps convey to technical peers as well as the general public what contributions the work makes to knowledge. It is expected that this be rendered statically and/or dynamically in a web framework.Documentation: involves structuring above work in a (a) software repository, (b) comprehensive comments in software, (c) development of a clear README, (d) journal/conference paper*, and (e) corresponding project website. This ensures work is reproducible and accessible to both technical peers and the general public.researcher should target top-100 publications here: http://www.guide2research.com/topconf/Technical ExperienceThe successful applicant will have the following technical experience in:The development of end-to-end applications (e.g. databases, algorithms, visualizations).Processing one or more data types/signals (e.g. text, audio, images, physiology).Applying machine learning algorithms (e.g. regression, neural networks).Utilizing the following programming languages/frameworks: bash, SQL, Python, HTML, Javascript, and Tensorflow/Pytorch, as well as source code version control (git).Authoring peer-reviewed scientific papers.AttitudeThe successful applicant should be self-driven and interested in the general domain of machine learning (e.g. latest ideas, research findings, research tools), contain a scientific curiosity for formalizing the underlying mechanisms of the observable world (e.g. do we make conclusions based on the words in speech, or intonation of speech?), and is passionate about creating timeless systems, with an attention to detail and zeal for quality.Further InformationFor a sense of work performed in the lab, explore this portfolio: https://talhanai.xyz/projects.htmlThe DivisionEngineering research at NYU Abu Dhabi crosses the boundaries of traditional engineering disciplines and encompasses broad interdisciplinary areas that embody key characteristics of our age. In the face of global competition, dwindling natural resources, and the complexity of societal needs, the leaders of technological enterprises will be those who can innovate, are inventive and entrepreneurial, and understand how technology is integrated within society.About NYUADNYU 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.UAE Nationals are encouraged to apply.Educational ExperienceThe successful application will have a Bachelor’s (ideally Master’s) degree in Computer Science (or equivalent major; Mathematics, Physics, Engineering, Economics, etc.).Applications Will Be Considered On a Rolling Basis Until The Position Is Filled. An Applicant That Passes The Review Process Will Be Accepted Immediately. To Be Considered, All Applicants Must Submit In PDF FormatCover letter.Curriculum Vitae.Transcript of degree.Two letters of recommendation.Additional Program InformationUAE nationals are encouraged to applyThis position is under the NYUAD Kawader program, for details regarding the program, open dates, specific program requirements, and FAQ's please refer to our NYUAD Kawader webpage: https://nyuad.nyu.edu/en/about/careers/postdoctoral-and-research/kawader-research-assistantship-program.htmlKawader is a unique, national capacity-building research fellowship program that allows outstanding graduates to gain experience in a cutting-edge academic research environment. This three-year, individually tailored, intensive program has two distinctive paths designed for (Emirati) graduates considering a graduate degree or a career in research.For further information or questions regarding the position/program please contact nyuad.kawader@nyu.edu (due to the high volume of emails received, please allow 5 working days for a response)UAE nationals are encouraged to applyThis position is under the NYUAD Kawader program, for details regarding the program, open dates, specific program requirements, and FAQ's please refer to our NYUAD Kawader webpage: https://nyuad.nyu.edu/en/about/careers/postdoctoral-and-research/kawader-research-assistantship-program.htmlFor further information or questions regarding the position/program please contact nyuad.kawader@nyu.edu (due to the high volume of emails received, please allow 5 working days for a response)Equal Employment Opportunity StatementFor people in the EU, click here for information on your privacy rights under GDPR: www.nyu.edu/it/gdprNYU is an Equal Opportunity Employer and is committed to a policy of equal treatment and opportunity in every aspect of its recruitment and hiring process without regard to age, alienage, caregiver status, childbirth, citizenship status, color, creed, disability, domestic violence victim status, ethnicity, familial status, gender and/or gender identity or expression, marital status, military status, national origin, parental status, partnership status, predisposing genetic characteristics, pregnancy, race, religion, reproductive health decision making, sex, sexual orientation, unemployment status, veteran status, or any other legally protected basis. All interested persons are encouraged to apply for vacant positions at all levels.Sustainability Statement NYU aims to be among the greenest urban campuses in the country and carbon neutral by 2040. Learn more at nyu.edu/sustainability

Job DescriptionThe Research Assistant (RA) will work directly under the supervision of Dr. Osama Sohaib and contribute to the development and implementation of the CultureXAI framework for precision public health in the UAE. The RA will play a central role in key technical components of the project, including machine learning model development, explainable AI (XAI) implementation, open data analysis, and fairness and bias assessment across diverse population groups. The RA will be responsible for data preprocessing and integration from multiple health and demographic sources, designing and evaluating predictive models for non-communicable disease (NCD) risk, and applying XAI techniques (e.g., SHAP, LIME, counterfactual analysis) to generate interpretable and culturally-aware insights. The role also includes supporting the development of a prototype decision-support dashboard for policymakers and healthcare stakeholders. In addition, the RA will contribute to academic dissemination by assisting in the preparation of high-quality research publications (targeting Q1 journals), technical reports, and conference submissions, as well as supporting broader project dissemination activities. The position requires strong analytical, programming, and research capabilities, along with the ability to work effectively in an interdisciplinary research environment.Minimum Qualification PhD in Business Analytics, Statistics, Data Science, Machine Learning, Computer Science, or a closely related quantitative discipline. - Strong foundation in machine learning, data analysis, and statistics - Proficiency in Python (e.g., Pandas, Scikit-learn) - Experience in developing dashboards or web-based applications (e.g., Flask, Streamlit, React)Preferred Qualification PhD in Machine Learning, AI, Data Science, or a related discipline - Prior experience in healthcare analytics, public health data, or applied AI research - Familiarity with explainable AI techniques (e.g., SHAP, LIME, counterfactual methods) - Experience with advanced ML models (e.g., XGBoost, Neural Networks)Expected SkillsExperience: - 1–3 years (RA level) or 3+ years / PhD-level (Research Associate) - Experience working with real-world datasets and applied machine learning projects Technical Skill Set: - Machine learning: supervised/unsupervised learning, model evaluation, hyperparameter tuning - Explainable AI: model interpretability, feature importance, fairness and bias analysis - Programming: Python (required); familiarity with TensorFlow/PyTorch is a plus - Data handling: data cleaning, preprocessing, and multi-source data integration - Visualization: Matplotlib, Seaborn, Plotly, or dashboard tools (e.g., Streamlit, Flask) Research & Soft Skills: - Academic writing and contribution to publications - Literature review and analytical thinking - Ability to work independently and collaboratively in interdisciplinary teamsClose Date Kindly apply before the closing date.30/06/2026ApplyDepartmentDivisionGradePosting NumberPosition Number