151 Research Associate jobs in the United Arab Emirates

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About Our Client

We are working with a prestigious sovereign wealth fund based in Abu Dhabi who are seeking to hire a research associate to join their global research and public markets team, with a focus on the real estate sector.

Job Responsibilities

• Lead the application of data science, machine learning, and AI in the real estate department.
• Summarize global investment themes.
• Analyze major trends impacting property sectors such as office, industrial, retail, residential, hotel, senior housing, data centers, self-storage, and proptech.
• Interpret third-party forecasts of property markets and assist in forming investment views on markets across the Americas, Europe, and Asia Pacific.
• Support senior colleagues in developing presentations for senior management and investment professionals.
• Maintain the department's database of reports, market data, and forecasts, managing subscriptions as needed.
• Track research variables in economics, capital markets, space markets, and real estate performance globally.
• Use economic and market analysis to support investment recommendations.
• Communicate technical ideas clearly to non-technical audiences.
• Present research findings and recommendations within the department.

Candidate Profile

• An undergraduate degree is required; postgraduate qualifications and CFA are a plus.
• Relevant experience in investment management, consulting, real estate research, development, or investment banking is required.
• Current employment in the United States is required.
• Proficiency in Word, Excel, and PowerPoint is required; knowledge of Bloomberg is preferred.
• Strong math skills and advanced knowledge of SQL, with knowledge of R or Python, are required.
• Interest and experience in data science, machine learning, and AI are essential.

Associate

Full-time

Finance

Venture Capital and Private Equity

Note: This job is active and accepting applications.

We are working with a prestigious sovereign wealth fund based in Abu Dhabi who are seeking to hire a research associate to join their global research and public markets team, with a specific focus on the real estate sector.

What the job involves

Spearheading the application of data science, machine learning and AI in the real estate department

Summarise global investment themes

Analyse major trends that impact property sectors such as office, industrial, retail, residential, hotel, senior housing, data centres, self-storage, proptech, etc

Interpret third-party forecasts of property markets and assist in the formation of house views on major investment markets in the Americas, Europe and Asia Pacific

Support senior colleagues in developing relevant and coherent presentations to senior management and investment professionals as required

Maintain the department's database of external reports, market data and forecasts. Manage real estate subscriptions with data and forecast providers as required

Track research variables in economics, capital market, space market, real estate investment market, and private property market performance globally

Use in-depth economic and real estate market analysis to underpin investment recommendations

Communicate complex technical ideas in a non-technical manner as appropriate to the audience

Present research and recommendations to relevant parties within the department

Who we are looking for

An undergraduate degree is required. Postgraduate degree and professional qualifications such as the CFA are a plus

Relevant experience in an investment manager, consulting firm, real estate research firm, developer, investment

Organisation/Company NEW YORK UNIVERSITY ABU DHABI Research Field Engineering Computer science Researcher Profile Recognised Researcher (R2) Established Researcher (R3) Country United Arab Emirates Application Deadline 5 Sep :00 (UTC) 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 Robotics and Intelligent Systems Control Laboratory (RISC) at NYU Abu Dhabi invites qualified applicants with a doctorate degree in the areas of electrical or computer engineering or computer science, or related fields to apply. A strong publication record is encouraged, along with experience in machine learning model development and statistical learning.

The selected candidate will work on innovative AI methodologies in areas such as renewable energy integration (online forecasting tools and renewable energy management systems), smart transmission and distribution networks, AI-driven smart grid technologies, and demand response systems. The role involves conducting research, developing standalone and prototype AI solutions, and publishing in top-tier conferences and journals.

Qualifications

Candidates must hold a PhD in Electrical Engineering, Computer Engineering, Computer Science, or a related field, with a strong publication record in AI-driven energy solutions. Proficiency in machine learning frameworks (MATLAB), as well as experience in statistical learning, and embedded systems, is required. Familiarity with cost-effective COTS-based environmental monitoring solutions is a plus. The successful candidate must demonstrate the ability to work collaboratively in research-focused teams and contribute to innovative AI-driven solutions.

Application Instructions

Applications will be accepted on a rolling basis and candidates will be considered until the positions are filled. For consideration, applicants need to submit a cover letter including the names of at least two referees having essential knowledge of the candidate's academic work, a curriculum vitae with a full publication list, a statement of research interests and a 1-2 p statement of purpose, and a transcript, all in PDF format.

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'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/SexualOrientation/Gender Identity Employer

UAE Nationals are encouraged to apply

Application Process

This institution is using Interfolio's Faculty Search to conduct this search. Applicants to this position receive a free Dossier

Organisation/Company KHALIFA UNIVERSITY Research Field Computer science Engineering Engineering Researcher Profile Recognised Researcher (R2) Established Researcher (R3) Country United Arab Emirates Application Deadline 31 May 2027 - 00:00 (UTC) 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

Job Purpose

• To provide high quality research support and undertake internationally competitive research aimed at publication thereby contributing to the academic and research mission of the University.
• Ability to present research plans and findings in a convincing style, both in oral and written modes of communication.

Strategic Responsibilities

• Engages in scientific research as a professionally accountable member of the research team, actively participating in problem definition, planning, and execution of the research approach. In addition, undertakes responsibilities such as conducting experiments, interpreting findings, documenting and reporting results and progress, maintaining meticulous research records, and ensuring compliance with KU policies and procedures.
• Conducts regular meetings with the Supervisor to convey research outcomes, review project focus, address concerns, troubleshoot issues, and effectively manage expectations.
• Ensures timely publication of research results in leading journals within the field and presents findings at relevant meetings.
• Takes on the role of mentoring graduate and/or undergraduate students.
• Contributes proactively to the overall activities of both the research team and the Center.
• Undertakes additional responsibilities as assigned by the Advisor.

The candidate will be working on the following specific tasks

• Provision of a dataset focusing on Indoor Farms Plants Diseases, shared with an Industry Partner and integrated into the VRI database, enhancing accessibility and utilization across the agricultural community.
• Development of a demonstration showcasing the application of robotics in monitoring crop diseases, utilizing cutting-edge technologies for real-time assessment and intervention.
• Application of deep learning algorithms for Ripeness Monitoring and Disease Identification of Plants in Indoor Farms, offering a sophisticated and accurate method for early detection and analysis.
• Provision of resources and benchmarks tailored for agricultural imagery-based pattern analysis, contributing to the advancement of methods for recognizing and understanding patterns in agricultural landscapes.
• Exploration of efficient data sampling methods, data fusion techniques for multi/hyper-spectral image data, and the development of self, semi, and weakly supervised methods for greenhouse imagery, ensuring robust pattern recognition even in conditions of noise, sparsity, and imbalanced annotations.

Operational Responsibilities

Operational Responsibilities

Supervisory Responsibilities

NA

Should you require further assistance or if you face any issue with the online application, please feel to contact the Recruitment Team ( ).

Job Description
The Emirates Center for Mobility Research (ECMR) at UAE University is at the forefront of innovation in transportation and mobility solutions. Our research focuses on sustainable, smart, safe, and autonomous mobility systems, with a vision to contribute to the UAE's future as a global hub for cutting-edge transportation solutions. ECMR works on various interdisciplinary projects, from urban mobility and traffic safety to intelligent transport systems, and collaborates with industry partners, governmental bodies, and academic institutions both locally and globally.

Position: Post-Doctoral Researcher
The successful candidate will work on advanced research projects in mobility systems, smart transportation technologies, and related fields. You will collaborate closely with a multidisciplinary team of researchers, engineers, and policymakers to develop solutions that address the challenges of modern transportation and contribute to the UAE's strategic goals in sustainable mobility.

Minimum Qualification
PhD degree in Transportation Engineering or any related field.

Preferred Qualification
PhD degree in Transportation Engineering or any related field.

Expected Skills
The Research Associate is expected to:

• Conduct advanced research in one or more of the following areas: autonomous vehicles, smart cities, sustainable transportation, traffic systems, electric vehicles, and connected transport networks.
• Develop models, algorithms, and simulations for real-world transportation problems.
• Collaborate on interdisciplinary projects with team members, including faculty, industry experts, and government stakeholders.
• Assist and co-supervise PhD and Masters students.
• Prepare and publish research findings in peer-reviewed journals and present at international conferences.
• Contribute to grant proposals and engage with funding agencies.
• Mentor graduate and undergraduate students involved in mobility research projects.
• Support the Center's outreach and knowledge-sharing initiatives.
• Aid in the research center's administrative duties including development of marketing material, conducting follow-up meetings with potential clients and leads, writing formal letters, and obtaining necessary approvals.
• Maintain and monitor project plans, project schedules, work hours, budgets, and expenditures.

We are working with a prestigious sovereign wealth fund based in Abu Dhabi who are seeking to hire a research associate to join their global research and public markets team, with a specific focus on the real estate sector.

What the job involves

Spearheading the application of data science, machine learning and AI in the real estate department

Summarise global investment themes

Analyse major trends that impact property sectors such as office, industrial, retail, residential, hotel, senior housing, data centres, self-storage, proptech, etc

Interpret third-party forecasts of property markets and assist in the formation of house views on major investment markets in the Americas, Europe and Asia Pacific

Support senior colleagues in developing relevant and coherent presentations to senior management and investment professionals as required

Maintain the department's database of external reports, market data and forecasts. Manage real estate subscriptions with data and forecast providers as required

Track research variables in economics, capital market, space market, real estate investment market, and private property market performance globally

Use in-depth economic and real estate market analysis to underpin investment recommendations

Communicate complex technical ideas in a non-technical manner as appropriate to the audience

Present research and recommendations to relevant parties within the department

Who we are looking for

An undergraduate degree is required. Postgraduate degree and professional qualifications such as the CFA are a plus

Relevant experience in an investment manager, consulting firm, real estate research firm, developer, investment