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data analysts with data modeling (on-prem & cloud)

data scientist

Imbibe Consultancy Services Pvt Ltd

<div>
 
 Experience:
 
 7 to 12 years
 
 
 
 Location:
 
 Abu Dhabi
 
 
 
 Job code:
 
 101331
 
 
 
 Posted on:
 
 Sep 23, 2025
 
 
 
 About Us
 
 
 
 AceNet Consulting is a fast-growing global business and technology consulting firm specializing in business strategy, digital transformation, technology consulting, product development, start-up advisory and fund-raising services to our global clients across banking &amp; financial services, healthcare, supply chain &amp; logistics, consumer retail, manufacturing, eGovernance and other industry sectors.
 
 
 We are looking for hungry, highly skilled and motivated individuals to join our dynamic team. If you&rsquo;re passionate about technology and thrive in a fast-paced environment, we want to hear from you.
 
 
 
 Job Summary
 
 
 
 We are seeking an experienced Data Scientist to join our team and drive advanced analytics initiatives in the public sector finance domain. The ideal candidate will have proven expertise in machine learning, predictive analytics, and financial forecasting, and will act as a key advisor, model developer, and knowledge transfer facilitator.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Deployment of a machine learning-based anomaly detection system, including reports of detected anomalies and recommended mitigation actions.
 </li>
 <li>
 Roadmap and integration plan for advanced analytics use cases within the Financial Foresight Platform.
 </li>
 <li>
 Implementation of an automated reconciliation system integrated between FMIS and TMS, supported by anomaly detection capabilities.
 </li>
 <li>
 Scenario analysis reports detailing identified risks, compliance gaps, and ML model outputs to support decision-making.
 </li>
 <li>
 Development of predictive models for debt management and reporting on optimal debt strategies.
 </li>
 <li>
 Insights and visual reports on the influence of external economic indicators and trends on national financial planning.
 </li>
 <li>
 Identification and documentation of additional use cases, along with
 
 
 </li>
 </ul>
 recommendations for refining and optimizing existing analytics models.
 
 
 
 Role Requirements And Qualifications
 
 
 
 <ul>
 <li>
 Proficiency in Python, R, or similar languages for machine learning.
 </li>
 <li>
 Hands-on experience with data platforms and cloud-based analytics.
 </li>
 <li>
 Strong understanding of public sector finance and economic modeling.
 </li>
 <li>
 Experience in dashboard development using Tableau is a plus.
 </li>
 <li>
 The individual will act as an advisor, model developer, and knowledge transfer facilitator to build internal capacity.
 
 
 </li>
 </ul>
 
 Why Join Us
 
 
 
 <ul>
 <li>
 Opportunities to work on transformative projects, cutting-edge technology and innovative solutions with leading global firms across industry sectors.
 </li>
 <li>
 Continuous investment in employee growth and professional development with a strong focus on up &amp; re-skilling.
 </li>
 <li>
 Competitive compensation &amp; benefits, ESOPs and international assignments.
 </li>
 <li>
 Supportive environment with healthy work-life balance and a focus on employee well-being.
 </li>
 <li>
 Open culture that values diverse perspectives, encourages transparent communication and rewards contributions.
 
 
 </li>
 </ul>
 
 How To Apply
 
 
 
 If you are interested in joining our team and meet the qualifications listed above, please apply and submit your resume highlighting why you are the ideal candidate for this position
</div>

Data Scientist

Hays

<div>
 
 
 Location:
 
 Abu Dhabi, United Arab Emirates
 
 
 
 Industry:
 
 Quantitative Research
 
 
 
 
 
 We are looking for a highly motivated and experienced
 
 Lead Data Scientist
 
 to head our data science team in Abu Dhabi.
 
 
 
 
 
 
 About the Role:
 
 
 
 As Lead Data Scientist, you will be responsible for defining and implementing advanced data science solutions, leading a team of 10 professionals. This role requires strong technical expertise, strategic leadership, and hands-on involvement in developing machine learning architectures and models.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Provide technical leadership to a team of data scientists and machine learning engineers.
 </li>
 <li>
 Design and implement data solutions for applications in BFSI, quantitative research, and asset management.
 </li>
 <li>
 Develop and optimize ML models, including LLMs and NLP pipelines, in multi-GPU environments.
 </li>
 <li>
 Define scalable and robust architectures for data processing and predictive modeling.
 </li>
 <li>
 Act as the team&rsquo;s technical reference, promoting best practices and continuous innovation.
 </li>
 <li>
 Communicate technical insights clearly to both technical and non-technical stakeholders.
 </li>
 <li>
 Collaborate with cross-functional teams to integrate data capabilities into products and workflows.
 </li>
 </ul>
 
 
 
 
 
 What We&rsquo;re Looking For:
 
 
 <ul>
 <li>
 7+ years of experience in applied data science within BFSI, quantitative research, or asset management.
 </li>
 <li>
 Proven experience in technical leadership and team management.
 </li>
 <li>
 Strong expertise in Machine Learning, LLMs, NLP, and foundational models.
 </li>
 <li>
 Hands-on experience with Python, TensorFlow, PyTorch, Scikit-learn, among others.
 </li>
 <li>
 Ability to work hands-on in complex technical environments.
 </li>
 <li>
 Excellent communication skills in English (written and verbal).
 </li>
 </ul>
 
 
 
 
 
 Academic Background:
 
 
 <ul>
 <li>
 Master&rsquo;s or PhD in relevant fields, preferably from top-tier universities (Ivy League, Oxbridge, ETH, etc.)
 </li>
 </ul>
 
 
 
 
 
 What We Offer:
 
 
 <ul>
 <li>
 Competitive, tax-free salary.
 </li>
 <li>
 Visa sponsorship (if needed).
 </li>
 <li>
 Health insurance for you and your family.
 </li>
 <li>
 Annual return ticket to your home country.
 </li>
 </ul>
 
 
</div>

Lead Data Scientist

Khazna Data Centers

<div>
 
 
 Khazna was founded in 2012 and has grown rapidly into becoming the leading and trusted wholesale Data Center provider in the Middle East and North Africa region. Through our Data Centers, we provide industry benchmark levels of power supply and cooling services to better serve the growing need for data center operations in the UAE and wider region.
 
 
 
 
 
 
 We are seeking a
 
 Data Scientist (AI/ML)
 
 to join our
 
 Command &amp; Control Center &ndash; Data Analytics &amp; Reporting
 
 team, reporting to the
 
 Manager, Data &amp; BI
 
 . This centralized role is responsible for developing AI-driven solutions, machine learning models, and advanced analytics to enhance data center operations, efficiency, and innovation. The Data Scientist will apply predictive modeling, deep learning, and other data science techniques to enable data-driven decision-making and automation across the data center ecosystem.
 
 
 
 
 
 
 Key Accountabilities:
 
 
 
 
 
 <ul>
 <li>
 In collaboration with the line manager, develop Data Center AI/ML models for predictive maintenance, anomaly detection and capacity planning, reducing downtime and optimizing resource allocation
 </li>
 <li>
 Support in simulation models to assess potential business impact, forecasting power demand, cooling efficiency and IT workload fluctuations
 </li>
 <li>
 Work with big data technologies and cloud platforms, optimizing AI model deployment across hybrid and multi-cloud architectures
 </li>
 <li>
 Optimize Data Center models for performance, scalability and interpretability, ensuring they align with real-time decision-making needs of mission-critical facilities
 </li>
 <li>
 Conduct statistical analysis and hypothesis testing, providing data-driven insights for risk assessment, asset lifecycle management and energy efficiency improvements
 </li>
 <li>
 Collaborate with Data Engineers to ensure seamless data pipeline integration, enabling real-time AI-driven monitoring and automation
 </li>
 <li>
 Support in develop anomaly detection algorithms to proactively identify deviations in data center power usage effectiveness (PUE), cooling efficiency etc.
 </li>
 <li>
 Research and implement emerging AI/ML technologies within data center, such as federated learning, reinforcement learning and generative AI, to enhance operational resilience
 </li>
 <li>
 Evaluate and improve the performance of existing AI models within data center, incorporating adaptive learning techniques to refine predictions over time
 </li>
 <li>
 Ensure AI/ML models in data center are continuously updated with live data streams, adapting to infrastructure expansions, workload shifts and market trends
 </li>
 <li>
 Extract findings from AI-driven analysis and present actionable insights to executives at Khazna and CCC leadership to inform strategic decision-making
 </li>
 <li>
 Support in defining and prioritize potential data center operational scenarios, using AI simulations to model the likelihood and impact of various facility and market dynamics
 </li>
 <li>
 Update data center models and forecasts based on real-time data, industry benchmarks and shifting internal prioritises to maintain competitive intelligence
 </li>
 <li>
 Drive automation in incident response and capacity forecasting, integrating AI insights with CAFM and orchestration tools for proactive management
 </li>
 <li>
 Ensure AI governance, model explainability and compliance with regulatory standards in data center operations, including SOC 2, ISO 27001 and Uptime Institute guidelines as recommended
 </li>
 </ul>
 
 
 
 
 
 Minimum Qualifications:
 
 
 
 
 
 <ul>
 <li>
 Master&rsquo;s or Bachelor&rsquo;s in Computer Science, AI/ML (or) Data Science
 </li>
 <li>
 Certifications in AI/ML or data science preferred (e.g., Google AI, Microsoft AI)
 </li>
 <li>
 3-5 years of experience in AI/ML model development, data science or analytics
 </li>
 <li>
 Proficiency in Python, TensorFlow or PyTorch
 </li>
 <li>
 Hands-on experience with cloud-based ML platforms (AWS SageMaker, Azure ML, Google AI)
 </li>
 <li>
 Strong background in statistical modeling, probability and data structures
 </li>
 <li>
 Experience with big data frameworks like Apache Spark or Hadoop
 </li>
 </ul>
 
 
 
 
 
 Additional Qualifications:
 
 
 
 
 
 <ul>
 <li>
 Ability to translate complex data into actionable insights for business and operational teams
 </li>
 <li>
 Expertise in explaining AI/ML concepts to non-technical leadership, ensuring alignment between data science and business strategy
 </li>
 <li>
 Work effectively across Engineering and Operations, adapting models to shifting business priorities and technological advancements
 </li>
 </ul>
 
 
 
 
 
 Trainings/Certifications Preferred:
 
 
 
 
 
 <ul>
 <li>
 Google TensorFlow Developer Certification
 </li>
 <li>
 AWS Certified Machine Learning &ndash; Specialty
 </li>
 <li>
 Microsoft Certified: Azure AI Engineer Associate
 </li>
 </ul>
 
 
</div>

Data Scientist (AI/ML)

CNTXT AI

<div>
 
 
 Who We are :
 
 
 
 We are a dynamic, fast-growing company at the forefront of Data and AI, committed to innovation, excellence, and delivering exceptional value to our clients and stakeholders. At CNTXT, our mission is to accelerate the development of AI applications &amp; LLMs that these applications are built on. We believe that to make the best models, you need the best data.
 
 
 
 
 
 At CNTXT we leverage we provide your enterprise with data to customize powerful base generative models to safely unlock the value of AI. The CNTXT Data Engine consists of all the tools and features you need to collect, curate and annotate high-quality data, in addition to robust tools to evaluate and optimize your models. Scale powers the most advanced LLMs and generative models in the world through world-class RLHF, data generation, model evaluation, safety, and alignment.
 
 
 
 
 
 
 
 
 About the Role:
 
 
 We are seeking a highly motivated and talented Emirati Data Scientist to join our team. The ideal candidate will be responsible for analyzing complex datasets, developing predictive models, and deriving actionable insights to support business decisions. This role provides an excellent opportunity to work on cutting-edge AI and data-driven projects while contributing to the advancement of data science in the region.
 
 
 
 
 
 Key Responsibilities:
 
 <ul>
 <li>
 Collect, clean, and preprocess large datasets from various sources.
 </li>
 <li>
 Develop and implement machine learning models to solve business challenges.
 </li>
 <li>
 Perform statistical analysis and predictive modeling to extract insights.
 </li>
 <li>
 Collaborate with cross-functional teams, including engineers and business analysts, to develop data-driven solutions.
 </li>
 <li>
 Create data visualizations and reports to communicate findings effectively.
 </li>
 <li>
 Optimize algorithms for scalability and performance.
 </li>
 <li>
 Ensure data integrity, security, and compliance with industry standards.
 </li>
 <li>
 Stay updated with the latest advancements in AI, machine learning, and data science.
 </li>
 </ul>
 
 
 
 
 Qualifications &amp; Requirements:
 
 <ul>
 <li>
 
 Must be an Emirati (Passport Holder).
 
 </li>
 <li>
 Bachelor's or Master&rsquo;s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field.
 </li>
 <li>
 2+ years of experience in data science, machine learning, or AI-related projects.
 </li>
 <li>
 Proficiency in programming languages such as Python, R, or SQL.
 </li>
 <li>
 Experience with machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn.
 </li>
 <li>
 Strong knowledge of data visualization tools such as Tableau, Power BI, or Matplotlib.
 </li>
 <li>
 Familiarity with big data technologies such as Hadoop, Spark, or cloud platforms (AWS, Azure, GCP).
 </li>
 <li>
 Excellent problem-solving skills and analytical mindset.
 </li>
 <li>
 Strong communication and presentation skills.
 </li>
 </ul>
 
 
 
 
 Preferred Qualifications:
 
 <ul>
 <li>
 Experience working in industries such as finance, healthcare, government, or technology.
 </li>
 <li>
 Knowledge of natural language processing (NLP) or deep learning techniques.
 </li>
 <li>
 Familiarity with data governance and ethical AI practices.
 </li>
 </ul>
 
 
 
 
 Why Join Us?
 
 <ul>
 <li>
 Opportunity to work on impactful projects shaping the future of data science
 </li>
 <li>
 Collaborative and innovative work environment.
 </li>
 <li>
 Competitive salary and benefits package.
 </li>
 <li>
 Professional development and growth opportunities.
 </li>
 </ul>
 
 
 
 
 If you are an Emirati data enthusiast passionate about AI and data science, we encourage you to apply and be part of a dynamic and forward-thinking team.
 
</div>

Staff Data Scientist (UAE National)

Nabat

<div>
 
 
 Who is Nabat?
 
 
 
 
 
 
 
 Nabat is a climate-tech startup based in the UAE using advanced technology to protect and restore natural ecosystems with precision and scale!
 
 We operate at the intersection of ecological &amp; environmental sciences, GIS, AI, and robotics. Our mission is to enable data-driven, science-backed ecosystem management and restoration at the speed and scale necessary to address the critical challenges of climate change, deforestation, land erosion, and biodiversity loss. Our comprehensive solution - consisting of ecosystem management software, precision aerial seeding drones, AI &amp; ecological models, and restoration services - is already being used to plant millions of mangroves in the UAE. But we&rsquo;re just getting started, as we build our platform to serve the needs of coastal, marine and arid ecosystems around the world.
 
 
 
 
 
 If this mission resonates with you, let&rsquo;s talk.
 
 
 
 
 
 🔹
 
 What is the role?
 
 
 
 
 
 
 We&rsquo;re building our product development team from the ground up and are looking for highly talented, self-driven
 
 Senior Data Scientists with proven experience using cutting-edge data science techniques to extract science-backed insights from large, complex geospatial data sets
 
 .
 
 
 
 
 
 📍
 
 Relocation to the UAE is required
 
 &ndash; generous relocation benefits and visa sponsorship (for the employee and their family) will be provided.
 
 
 
 
 
 
 🔹 Your responsibilities will include:
 
 
 
 
 
 
 &bull;
 
 Act as senior/staff-level individual contributor
 
 to own the development of analytical and predictive models for Nabat&rsquo;s AI-powered ecosystem management platform, using a variety of AI/ML and statistical techniques.
 
 
 &bull;
 
 Research, develop, train, validate, refine and deploy models
 
 that use deep domain knowledge to extract user-friendly scientific and ecological insights from geospatial data.
 
 
 Some of the problems you might be working on using satellite and drone imagery:
 
 
 &EmptyVerySmallSquare;️ land use/cover classification
 
 
 &EmptyVerySmallSquare;️ identification of plant native and invasive species
 
 
 &EmptyVerySmallSquare;️ estimating carbon stock and biodiversity
 
 
 &EmptyVerySmallSquare;️ modeling and predicting the outcome of different restoration scenarios
 
 
 &EmptyVerySmallSquare;️ creating optimal flight paths for multi-drone seeding operations
 
 
 &EmptyVerySmallSquare;️ detecting ecosystems at risk
 
 
 &EmptyVerySmallSquare;️ measuring plant-level growth metrics
 
 
 &EmptyVerySmallSquare;️ high-throughput phenotyping, and so on.
 
 
 &bull; In close collaboration with software and data engineers,
 
 design and implement well-architected, scalable, robust, high-performance, AI/ML-powered systems
 
 for ingestion, storage, processing, analysis, insight extraction, and visualization of large amounts of geospatial time-series data (geotagged, ultra-high-resolution RGB, multi- and hyper-spectral imagery, KML files, LIDAR point clouds, etc from satellites and drones).
 
 
 &bull;
 
 Communicate and collaborate cross-functionally
 
 with product managers, software, hardware and data engineers, ecologists, GIS data analysts, drone pilots, operations folks, and end users to deliver key initiatives.
 
 
 &bull;
 
 Knowledge transfer from and continuous engagement with researchers
 
 (from Technology Innovation Institute) and external partners to understand and take ownership of what has been built to date, become the subject matter expert for your product domain, and lead the research &amp; development roadmap for your domain.
 
 
 
 
 
 
 🔹 What are we looking for?
 
 
 
 
 
 
 &bull;
 
 A strong research/academic foundation
 
 with at least a Master's degree in engineering, data science, mathematics, ecological or environmental science, or similar fields, and ideally published research in peer-reviewed journals.
 
 
 &bull;
 
 Extensive, hands-on development experience with AI/ML model development in the geospatial, computer vision and/or remote sensing domain
 
 , including:
 
 
 &EmptyVerySmallSquare;️ Familiarity with the latest machine learning techniques and models for image analysis, object detection, semantic segmentation, pattern recognition, predicting outcomes, anomaly detection, or similar using large geospatial datasets (RGB, multi- and hyper-spectral drone imagery, LIDAR point clouds, satellite imagery, etc)
 
 
 &EmptyVerySmallSquare;️ Experience combining data from multiple sources (sensor fusion) such as drones, satellites, ground truth, in-field sensors or from multiple models (ensemble methods) to improve performance
 
 
 &EmptyVerySmallSquare;️ Researching appropriate models and techniques given a problem space, scientific and business context, and validating different options before recommending a solution
 
 
 &EmptyVerySmallSquare;️ Experience using supervised and unsupervised learning, deep learning, CNNs, RNNs, GANs, and the like in the geospatial domain
 
 
 &EmptyVerySmallSquare;️ Determining quantifiable measures for the quality of data and performance of models, evaluating and communicating these metrics to stakeholders
 
 
 &EmptyVerySmallSquare;️ Using geospatial data processing, analysis, and visualization tools (Python, R, PyTorch, Jupyter, QGIS, Grass GIS, ArcGIS, etc)
 
 
 &EmptyVerySmallSquare;️ Experience performing self-directed exploratory data analysis using statistical and visualization tools to understand patterns, trends, and anomalies and present results
 
 
 &EmptyVerySmallSquare;️ Experience working with and deploying production-ready models to cloud platforms: AWS, GCP, or Azure
 
 
 &EmptyVerySmallSquare;️ Experience working with software engineers, data engineers and GIS data analysts to productize and launch models to production
 
 
 &bull;
 
 Builder/entrepreneur mindset
 
 : You've created something meaningful from the ground up - whether leading a project, founding a venture, or crafting an impressive side project that demonstrates your initiative.
 
 
 &bull;
 
 Communication excellence
 
 : You articulate ideas clearly and document thoroughly, understanding that transparent communication is fundamental to our collaborative approach.
 
 
 &bull;
 
 Bias for action and execution
 
 : You move with purpose and velocity, driving for impact rather than perfection. You're comfortable making decisions and failing fast when necessary to achieve results. You prioritize shipping and iterating over endless conceptualizing.
 
 
 &bull;
 
 Problem-solving aptitude
 
 : You approach challenges with creativity and pragmatism, finding elegant solutions that balance technical constraints with user needs.
 
 
 &bull; Nice to haves: Previous experience building products in the domain of geospatial AI, remote sensing, earth observation, environmental monitoring, precision agriculture, or drone robotics.
 
 
 
 
 
 
 🔹Why join Nabat?
 
 
 
 
 
 
 A once-in-a-lifetime opportunity to
 
 
 
 
 <ul>
 <li>
 
 Join a well-funded early-stage tech startup
 
 at the intersection of some of the most exciting, disruptive and innovative technologies in the world - geospatial AI, remote sensing, drone robotics, ecology &amp; agricultural science.
 </li>
 <li>
 
 Design, build and shape a product from the ground up
 
 using your unique skills and expertise .
 </li>
 <li>
 
 Work with a truly international and world-class R&amp;D team
 
 both within Nabat and in collaboration with 1200+ researchers, scientists and technologists in the larger Advanced Technology Research Council (
 
 https://www.atrc.gov.ae/
 
 ), Technology Innovation Institute (
 
 https://www.tii.ae/
 
 ), and VentureOne (
 
 https://www.ventureone.ae/
 
 ) ecosystem.
 </li>
 <li>
 
 Relocate to Abu Dhabi &ndash; one of the safest, most livable, expat-friendly cities in the world
 
 - with an &ldquo;all inclusive&rdquo; relocation package for you and your family, that includes work &amp; residence visa sponsorship, business class flights, orientation tour, school and house search, and luxury hotel stay until you find your new home.
 </li>
 <li>
 
 Make a real and direct impact
 
 to solving the most critical challenges of our time &ndash; climate change and ecosystem loss!
 </li>
 </ul>
 
 
 
 
 
 🔹What is the hiring process like?
 
 
 
 
 
 
 We believe in making your hiring and onboarding seamless and transparent. Here is what to expect from us:
 
 
 
 
 <ul>
 <li>
 
 Initial screening call
 
 with a member of our Talent team to ensure expectations and experience aligns.
 </li>
 <li>
 
 First interview with hiring manager
 
 about the role and ask questions &ndash;
 
 Taha Ghaznavi
 
 , Chief Product Officer, Nabat.
 </li>
 <li>
 
 Second interview with technical team member(s)
 
 to assess your capabilities. Might include a coding test and/or small case study.
 </li>
 <li>
 
 Third interview with a senior leader
 
 to assess culture fit and give you opportunity to meet your future stakeholders.
 </li>
 <li>
 Hiring decision and conditional offer.
 </li>
 <li>
 Background check and final offer.
 </li>
 <li>
 Relocation to the UAE and onboarding!
 </li>
 </ul>
 
 
 
 
 Apply with your CV and tell us what makes you &amp; your experience a great fit for Nabat.
 
</div>

Senior Data Scientist (Geospatial AI)

Presight AI Ltd.

A leading AI data analytics firm is seeking a qualified Data Scientist to develop AI-powered solutions for public safety. The role focuses on LLMs and conversational AI frameworks. Responsibilities include building autonomous AI solutions and collaborating with data scientists and engineers. Candidates should have a degree in a relevant field, along with practical experience in AI and strong programming skills, particularly in Python.

AI Data Scientist - Agentic LLMs for Public Safety

New York University Abu Dhabi

<div>
 We are inviting applications for a Postdoctoral Associate in the Division of Social Science at NYU Abu Dhabi from individuals who have or will soon receive a PhD in sociology, social psychology, computational social science, computer science, information science, data science, or a closely related field. The appointment will begin September 1, 2026, subject to final budget approval and is available for up to three years.
 
 
 The post-doctoral associate will spend half their time on independent research, and half their time on collaborative research with Professors Mario D. Molina, Minsu Park, and Blaine Robbins. The collaborative research will be large-scale analyses of digital traces (e.g., Yelp, Airbnb, Stack Exchange) and virtual lab experiments to study how ingroup favoritism and group boundaries coevolve in multiplex communities; how attribute- and opinion-based cues shape insider/outsider categorization, intergroup relations, and social cohesion; and how to design interventions that promote inclusivity, fairness, and productive discourse online.
 
 
 We seek a candidate with expertise in the following four areas: (1) working with large-scale digital trace data; (2) building and running natural language processing and machine learning workflows; (3) experimental design and causal inference (including virtual lab experiments); and/or (4) network or computational modeling. The ideal candidate will have a strong interest in applying these tools to questions of group formation, intergroup relations, and the distribution of resources on online platforms. This is an excellent position for a computational social scientist or a computer/data scientist eager to transition into the social sciences.
 
 
 The position does not require teaching, but it may be possible to get teaching experience for compensation. You would join a group of over 20 post-doctoral fellows and 70 faculty in the Division of Social Science.
 
 
 For consideration, applicants must submit a cover letter, a curriculum vitae with a complete list of publications, a statement of research interests, two letters of reference, transcript and one writing sample, all in PDF format. If you have any questions, please email the Principal Investigators: Professors Mario D. Molina (mdmolina@nyu.edu), Minsu Park (mp5500@nyu.edu), and Blaine Robbins (bgr3@nyu.edu). Applications will be reviewed on a rolling basis until the position is filled, with a preferred deadline of November 15, 2025
 
 
 
 About NYU Abu Dhabi
 
 
 
 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&rsquo;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.
 
 
 EOE/AA/Minorities/Females/Vet/Disabled/Sexual Orientation/Gender Identity Employer
 
 
 UAE Nationals are encouraged to apply
 
 
 
 Equal Employment Opportunity Statement
 
 
 
 
 For people in the EU, click here for information on your privacy rights under GDPR: www.nyu.edu/it/gdpr
 
 
 
 NYU 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
</div>

Post-Doctoral Associate in the Division of Social Science - Drs. Minsu Park, Mario Molina and Blaine Robbins

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