764 Research Positions jobs in the United Arab Emirates

Posted Thursday, May 15, 2025 at 6:30 PM

About Us

GRIFFCO Foods results from the strategic partnership between two companies Griffith foods and IFFCO that are purely driven by purpose and over 100 years of a solid family-based culture. It combines Griffith Food's global reach, innovation expertise and core capabilities with IFFCO's deep-rooted heritage and outstanding infrastructure in the region.

GRIFFCO Foods is the only food service partner that provides you with expert, sustainable food solutions with extreme agility for businesses that desire insight oriented, culinary inspired innovation across the GCC, the Levant region, Egypt and Pakistan because they need the support of a global agile product development partner to keep them future ready in an era of fast changing trends and preferences.

Our Purpose
At GRIFFCO Foods our purpose defines who we are, what we do, and why we exist, highlighting what makes us distinct and authentic in the marketplace. GRIFFCO Foods exists to collaboratively create best-in-class sustainable products and solutions that are globally local, harnessing centuries of product development expertise with the speed, agility, and precision required to deliver future-ready innovation

Join Our Family
When you join GRIFFCO Foods, you are not only joining our family, you are joining a community of change-makers. At GRIFFCO Foods, you are encouraged and empowered to make meaningful contributions and discover innovative solutions.

GRIFFCO Foods does not discriminate against qualified employees or applicant because of the following actual or perceived characteristic: race, colour, religion, gender identity, age national origin, physical and mental disability. Equal opportunity will be extended to all persons in all aspects of the employer-employee relationship, including recruitment, hiring, participation in benefits programs, trainings, promotion, transfer, layoff, recall and termination.

Major Duties & Responsibilities:

• Responsible for the development of the product pipeline with current and future customers, understanding their needs and challenges creating solutions that drive mutual value.
• Grow and transform the product portfolio meeting nutrition and sustainability criteria
• 'Hands on' development of products with customers.
• Build a fully engaged local R&D team with standalone, fit for Purpose Food science and R&D capabilities incl but not exclusive to raw materials, culinary center and pilot scale assets.
• Unlock value through our existing regional and global portfolio of products (lifting and launching.)
• Support the end to end creation of value streams in the key markets
• Build and leverage a strong network of partners across the specified region and globe, utilizing Griffith Foods internal networks, existing external partners and creating new ones in an ecosystem approach.
• Understand the regulatory constraints and engage with internal and external partners to manage compliance.
• Support the set-up of manufacturing and co-manufacturing in the selected countries

Problem Solving/Decision Making:

• Working in a highly ambiguous environment, creative problem solver, capable of navigating complex challenges.
• Works with independence, exercising ingenuity and judgement in the approach to and accomplishment of tasks.

Knowledge and Experience:

• Minimum Degree in Food Science/Technology, Chemistry or similar.
• Proven management and leadership experience at senior level.
• Language: English is a must
• Experience in technical development of savoury products, including protein and snacks.
• Experience of working in country and internationally.
• Current awareness of local and global flavour trends, culinary trends, and new technology in food applications;
• People Leadership and team development, remote Line management would be a benefit.
• Excellent communication and relationship building skills
• A creative problem solver across the value chain (from raw materials to customer scale up)
• End to end product leadership, from culinary through to scale up (manufacture).
• High level learning agility
• Drive for results
• Dealing with ambiguity.
• Business acumen
• Ideally with B to B or food service experience.
• Priority setting
• Project management
• Benchtop development, with an eagerness and proven ability to be hands on.

EQUAL EMPLOYMENT OPPORTUNITY

Griffith Foods believes that all persons are entitled to equal employment opportunity. Griffith Foods does not discriminate against qualified employees or applicants because of the following actual or perceived characteristics: race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, breastfeeding or related medical condition, national origin, ancestry, citizenship, age, physical or mental disability, genetic characteristic or information, AIDS or HIV status, order of protection status, marital status, military or veteran status, unfavorable discharge from military service, or any other status protected by federal, state, or local law. Equal employment opportunity will be extended to all persons in all aspect of the employer-employee relationship, including recruitment, hiring, participation in benefit programs, training, promotion, transfer, discipline, layoff, recall, and termination.

In carrying out our commitment to equal employment opportunity, Griffith Foods will make reasonable accommodations for applicants and employees with known disabilities unless doing so would result in an undue hardship, safety, and/or health risk. Applicants and employees requiring reasonable accommodations must notify Human Resources.

The eBRAIN laboratory in the Division of Engineering at New York University Abu Dhabi invites applications for a Research Engineer position to work in the area of research and development (R&D) of advanced machine learning (ML) models like Transformers Vision Transformers Large Language Models (LLMs) and other advanced deep learning models for vision-based applications. The focus is on real-world use cases across different domains such as autonomous systems robotics and smart homes/cities and their security.

The focus of the eBRAIN lab is on building energy-efficient and robust brain-inspired autonomous and cognitive systems through cross-layer analysis and design methods engaging hardware software and system level techniques synergistically. Prof. Shafiques lab has many-years of R&D experience in cross-layer design and optimization for building energy-efficient and robust AI/ML and vision systems including efficient learning and inference of complex AI/ML algorithms specialized neural processing hardware and design tools and ML security and their applications in resource-constrained embedded AI/ML systems like autonomous vehicles UAVs Robotics smart houses/cities Wearables and Healthcare. The long-term vision of the eBRAIN lab is on embedding an energy-efficient and secure electronic brain inside modern cyber-physical systems (CPS) and IoT-Edge devices to enable assistive cognitive technologies that care for / serve humanity and the ecosystem in a safe and green way.

The successful applicants will join and drive a large-scale project on investigating novel methods for deploying advanced machine/deep learning models on resource-constrained embedded systems and their practical demonstration in real-world use cases from medical image analysis autonomous vehicles advanced driver assistance smart city/home and Internet-of-Things. This project involves developing efficient and robust models for real-world settings and their prototyping. A key focus will be on IP generation patenting high-quality publications in top-tier ML/AI Robotics Security and Systems conferences and efficient prototyping for real-world use-cases. The candidates will work in a multidisciplinary environment consisting of PhD-level scientists research engineers graduate research students and undergraduate students to investigate cutting-edge scientific methods and to develop full-system prototypes. The eBRAIN lab offers an excellent working environment in an international team with many development possibilities. The candidates are expected to work in a highly collaborative environment with other lab members and industry collaborators.

Requirements: Applicants should have a Masters or Bachelors in Computer Engineering Electrical Engineering Computer Science or a related field. Extensive and sound knowledge of ML AI deep neural networks (DNN) LLMs Multimodal LLMs tinyML ML frameworks (like PyTorch and Tensorflow) and Prototyping ML systems is required. The candidate should demonstrate a solid experience in practical ML system development. Additional knowledge on MLOps robust/secure computing privacy-preserving ML and ML security is highly desirable. Applicants with strong industrial experience and/or with publications at top/A* ML venues (conferences and journals) are highly preferred. The candidates are also expected to have strong organization problem-solving analytical communication and writing skills as well as high motivation to pursue world-class research and development for practical ML/AI systems.

Application Procedure: The terms of employment for these positions include very competitive salary with additional attractive benefits including generous housing allowance medical insurance with access to world class facilities annual home leave allowance and (if applicable) dependent private school fees. Salaries are tax-free in the UAE (for US tax the Foreign Earned Income Exclusion can be used). The researchers will have dedicated funds for traveling computing publications etc. and will have access to excellent world-class research facilities.

The preferred starting date is as soon as possible preferably Summer 2025 based on the processing steps. Applications will be accepted immediately and candidates will be considered until the position is filled. Review of applications will start as soon as possible and will continue until the position is filled.

To be considered all applicants must submit the following documents all in PDF format.

• A cover letter
• Detailed curriculum vitae (CV) with R&D and programming skillset
• Full list of professional/industrial experience demos and/or scientific publications (if any)
• University degrees and transcripts (with grades) or a letter from supervisor/university officials regarding tentative completion date.
• 1-page executive summaries of BS Theses
• 1-page summary of professional experience future growth plans R&D accomplishments and interests
• 1-page letter of motivation
• At least 2 letters of recommendation with contact information of the referees (can be provided later if slightly more time is required)
• Download links for the PDFs of BS Theses (if available)

Please visit our website at for instructions and information on how to apply. If you have any questions please email Prof. Muhammad Shafique at .

About NYUAD:

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 NYUs 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.

The Chemical and Petroleum Engineering Department at the United Arab Emirates University is seeking a highly motivated Research Assistant to conduct advanced research on fines migration and its implications for hydrocarbon recovery and reservoir management. This position offers the opportunity to work on cutting-edge research projects, collaborate with a multidisciplinary team, and contribute to scientific advancements in petroleum reservoir engineering.

• Conduct experimental and theoretical studies on fines migration in porous media, including its impact on permeability, formation damage, and oil recovery.
• Develop models and simulations to predict fines behavior under various reservoir conditions.
• Design and execute laboratory experiments to investigate fines mobilization, deposition, and control mechanisms.
• Analyze data and interpret findings to generate high-quality research outputs.
• Publish research findings in high-impact journals and present at international conferences.

• Education: MSc in Petroleum Engineering, or a closely related field.
• Technical Expertise: Strong background in fines migration, formation damage, or reservoir engineering; hands-on experience with laboratory equipment (e.g., core flooding apparatus, particle analyzers); proficiency in reservoir simulation software and computational modeling tools.
• Research Skills: Proven track record of publications in peer-reviewed journals; experience with data analysis and visualization tools (e.g., MATLAB, Python).

• Knowledge of enhanced oil recovery techniques and their interaction with fines migration.
• Experience with advanced characterization techniques.
• Familiarity with industry-standard software like CMG, Eclipse, or Petrel.

• Submit a detailed CV.
• Close Date: Please apply before the closing date: 30/11/2025.

Research Associate Opportunity

We are seeking a highly motivated and skilled Research Associate to support an interdisciplinary research project focused on the integration of generative Artificial Intelligence (AI) into contemporary heritage design in the UAE context.

The successful candidate will work closely with the Principal Investigator and research team on tasks including but not limited to:

• Literature review on AI-driven design tools and cultural heritage integration.
• Data collection and preprocessing of heritage-related design imagery.
• Training, testing, and evaluation of generative AI models (e.g., Midjourney, Stable Diffusion).
• Supporting qualitative data collection through surveys and interviews.
• Thematic analysis of qualitative data using software such as NVivo or equivalent.
• Contributing to the development of culturally grounded AI-generated design prototypes.
• Drafting academic articles and dissemination materials based on research findings.

Essential Requirements

• Bachelor's and Master's degrees in Architectural Engineering, Design Computing, Digital Humanities, or related fields.
• Demonstrated knowledge of generative AI platforms and tools (e.g., Midjourney, DALL·E, Stable Diffusion, GANs, VAEs).
• Strong qualitative research skills including interview design, transcription, and thematic analysis.
• Excellent academic writing skills, with the ability to produce technical reports and research manuscripts in English.
• High level of initiative, flexibility, and ability to work independently and maintain a high standard of research quality.

Desirable Skills

• A strong publication record in peer-reviewed journals and conferences.
• Experience with image processing and dataset preparation.
• Familiarity with cultural heritage design principles, especially within the UAE or broader MENA region.
• Prior experience working in interdisciplinary AI-humanities or AI-design research projects.
• Working knowledge of Python-based AI frameworks such as PyTorch or TensorFlow is a plus.

How to Apply

To be considered for this opportunity, please submit your CV highlighting relevant academic background, technical and research skills, and any related publications or project experience.

The Integrative Agriculture Department at the College of Agriculture and Veterinary Medicine is seeking a Research Assistant to support horticulture research, with a focus on microalgae culturing and biomass production in an aquaponic system. The project involves the application of cell culture techniques, extraction and characterization of bioactive compounds, and molecular analysis of algae species (DNA or RNA extraction, PCR amplification). The candidate will also conduct biochemical and nutritional analyses to quantify proteins, lipids, carbohydrates and mineral content of algal biomass. Preference will be given to candidates with prior experience in horticulture projects, especially those involving aquaponics; feeding trials and system performance assessment will have to be designed and conducted by the candidate. To apply, submit a comprehensive Curriculum Vitae (CV/Resumé), along with a recommendation letter and statements highlighting relevant research skills. The selected candidate should have strong writing skills for publications. This opportunity offers a chance to contribute significantly to current research in horticulture within a collaborative academic environment.

• Contribute to research projects in horticulture with a focus on microalgae culturing and biomass production in an aquaponic system.
• Apply cell culture techniques, perform extractions, and characterize bioactive compounds.
• Conduct molecular analyses of algae species (DNA/RNA extraction, PCR amplification).
• Perform biochemical and nutritional analyses to quantify proteins, lipids, carbohydrates and mineral content of algal biomass.
• Assist in designing and conducting feeding trials and assessing system performance in aquaponic setups.
• Collaborate on data analysis and contribute to publications through strong writing skills.

• Minimum Qualification: Master's Degree in Biotechnology or Horticulture.
• Preferred Qualification: Master's Degree in Biotechnology with work experience in cell culture and aquaponic production systems.
• Expected Skills: experience in cell culture and aquaponic production systems.

• Salary Range: 7000
• Close Date: 30/09/2025
• Application Process: Submit CV (Resumé), recommendation letter, and statements highlighting relevant research skills.

Join to apply for the Research Assistant role at United Arab Emirates University, Department of Marketing & Entrepreneurship .

Location: Abu Dhabi, United Arab Emirates. This position is part of a research project funded by the UAEU UPAR Grant on the entrepreneurial ecosystem.

• Conduct literature reviews related to the entrepreneurial ecosystem.
• Conduct surveys to collect primary data and analyze the results.
• Prepare final reports and contribute to manuscript preparation as required.

• Minimum Qualification: MBA or Master's degree holder.
• Bachelor's degree in Business or related areas (preferred).
• Preferred: Previous work experience as a Research Assistant.
• Ability to work independently or in a team to prepare and conduct surveys with other researchers.

• Department: Marketing & Entrepreneurship, College of Business & Economics, United Arab Emirates University (UAEU).
• Posting/Position: Research Assistant
• Employment type: Full-time
• Job function: Research, Analyst, and Information Technology
• Industries: Higher Education

• Close Date: 31/12/2025 (Kindly apply before the closing date).
• Apply process: See posting details for application instructions.

Note: This description retains the original job content and context while removing extraneous postings and boilerplate.

Talent Acquisition Consultant EMEA at Kantar

We're looking for a dynamic, commercially savvy Research Manager to join our high-energy team of expert researchers, marketing innovators, and strategic consultants. This is an amazing opportunity to drive transformation, inspire teams, and deliver insights that matter.

• Lead research projects from proposal development through to final presentation.
• Design bespoke, commercially viable research strategies tailored to client challenges.
• Contribute to business development by responding to RFPs, engaging prospects, and supporting sales targets.
• Build and maintain strong client relationships, ensuring long-term success and satisfaction.
• Mentor junior researchers and peers, supporting their professional growth.
• Contribute to team development and company-wide initiatives, including training days and awaydays.
• Manage freelance researchers to ensure seamless project delivery.

• Proven expertise in market research, with a strong focus on quantitative methods.
• Ability to manage multiple projects and stakeholders effectively.
• Exceptional communication and presentation skills.
• Strong commercial acumen and client-facing experience.
• Demonstrated leadership and team development capabilities.

• Seniority level: Mid-Senior level
• Employment type: Full-time
• Job function: Research, Marketing, and Consulting
• Industries: Market Research

• Collect, process, and analyze remote sensing datasets.
• Develop and implement AI/ML models for hazard detection, risk assessment, and early warning systems.
• Conduct geospatial analysis (GIS-based modeling, change detection, vulnerability mapping).
• Review literature on disaster risk reduction (DRR), climate adaptation, and AI applications in geosciences.
• Assist in writing research papers, reports, and presentations for conferences/journals.
• Collaborate with researchers, government agencies, and stakeholders in the UAE and globally.
  
  

• Bachelor's/master's degree in civil engineering, Geomatics, Geography, Environmental Science, Computer Science, Geophysics, or a related field.
• Experience in remote sensing (e.g., Sentinel, Landsat, MODIS, SAR) and GIS software (ArcGIS Pro, QGIS, Google Earth Engine).
• Programming skills (Python, R, or MATLAB) for geospatial data analysis.
• Familiarity with machine learning frameworks (TensorFlow, PyTorch, scikit-learn).
• Strong analytical and technical writing skills.
• Ability to work independently and in a team.
• Be adaptable and flexible to the continuous changes associated with research demands.
  
  

Join to apply for the Research Assistant (Remote Sensing and GIS) role at United Arab Emirates University, Department of Family Medicine.

Job Description

The Civil and Environmental Engineering Department at the United Arab Emirates University is seeking a highly motivated research assistant to contribute to an interdisciplinary research project focused on disaster risk management (DRM) using remote sensing (RS) and artificial intelligence (AI). The project aims to develop innovative methods for detecting, monitoring, and assessing natural and human-induced hazards (e.g., floods, earthquakes, wildfires, erosion) to support sustainable development and climate resilience, in alignment with the COP28 UAE Declaration on Climate. The research assistant should be knowledgeable of Remote Sensing and GIS techniques.

Minimum Qualification

• Educational degree with documented evidence in remote sensing, GIS, or related fields.
• Experience in processing and analyzing remote sensing datasets.
• Developing AI/ML models for hazard detection, risk assessment, and early warning systems.
• Conducting geospatial analysis (GIS-based modeling, change detection, vulnerability mapping).
• Reviewing literature on disaster risk reduction (DRR), climate adaptation, and AI applications in geosciences.
• Assist in writing research papers, reports, and conference presentations.
• Collaborating with researchers, government agencies, and stakeholders locally and globally.

Preferred Qualification

• Bachelor's or master's degree in civil engineering, Geomatics, Geography, Environmental Science, Computer Science, Geophysics, or related fields.
• Experience with remote sensing platforms (Sentinel, Landsat, MODIS, SAR) and GIS software (ArcGIS Pro, QGIS, Google Earth Engine).
• Programming skills in Python, R, or MATLAB for geospatial data analysis.
• Familiarity with machine learning frameworks (TensorFlow, PyTorch, scikit-learn).
• Strong analytical and technical writing skills.
• Ability to work independently and collaboratively.
• Adaptability to evolving research demands.

Close Date: Kindly apply before 17/09/2025.

Employment Details

• Seniority level: Entry level
• Employment type: Full-time
• Job function: Research, Analyst, and Information Technology
• Industries: Higher Education

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