148 Research Roles jobs in the United Arab Emirates
Smart Materials Research Fellow
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Embark on a research journey as a fellow in thermal, mechanical, and electrical characterization of materials at the intersection of materials science, chemistry, and engineering.
The role involves working with the Smart Materials Lab (Naumov research group) to prepare, characterize, and test new smart materials. Key responsibilities include conducting experiments, processing data, and presenting results in articles and conferences.
The ideal candidate should possess experimental skills and/or modeling experience in characterizing thermal and mechanical properties, preferably with a background in mechanical engineering, solid-state physics, or chemistry.
This position is supervised by Naumov and involves individualized research projects under his mentorship.
Key deliverables:
- Biweekly reports on research progress
- Participation in group seminars
- Training students and other researchers on techniques within their research domain
Research Fellow in Advanced Materials
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Research Opportunities in Thermal and Mechanical Characterization of Materials
Research Fellow in Quantum Computing Security
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The Center for Cyber Security invites applications for a Research Associate position in the area of Quantum Computing Security. As a key member of our research team, you will be expected to conduct cutting-edge research in multiple areas related to quantum computing security.
- Quantum Machine Learning (QML)
- Machine Learning on Quantum Computers
- Security of Quantum Circuits
- Design Automation and Tools for Quantum Circuits
- Robust and Efficient Mapping of Quantum Algorithms on Quantum Machines
- Quantum Noise-Aware Optimizations for QML
- QML Security
- Error Correction for Quantum Computing
- Secure Quantum-Classical Systems
- Privacy-Preserving Quantum Computing
- Fingerprinting for Quantum Computing
Strong work experience with some quantum machines and development environments like QiSKit and PennyLane are highly appreciated.
As a Research Associate, you will have the opportunity to work on cutting-edge technologies in an excellent research environment, with a potential to work with a Quantum Computer through our collaboration partners. You will also have great opportunities to work on interdisciplinary research problems with other postdocs of the center.
Applicants should have a PhD in Computer Engineering, Computer Science, or Electrical Engineering. Expertise in Quantum Physics is a plus point. Applicants with a PhD in Quantum Physics are also welcome, but they should have a focus on Quantum Circuits, Quantum Algorithms, and preferably expertise in developing Software for Quantum Machines.
The appointment will be for a period of two years, and extensions to longer terms are possible upon review.
We offer a very competitive salary with additional attractive benefits, including generous housing allowance, medical insurance with access to world-class facilities, annual home leave allowance, and dependent private school fees. Salaries are tax-free in the UAE (for US tax, the Foreign Earned Income Exclusion can be used).
Preferred starting date is Spring 2025, but earlier dates are also possible based on the excellence of the candidate and the processing steps.
Review of applications will start on December 15, 2024, and will continue until the positions are filled.
Applicants should submit a cover letter, curriculum vitae, publication list, a brief statement of research interests, copies of transcripts (for Engineering only), and three letters of recommendation. Applicants are strongly encouraged to outline (in the cover letter and/or research statement) how they plan to contribute to create interdisciplinary connections within the research areas of the center.
Work with us to advance the field of Quantum Computing Security!
- Be part of a dynamic research team working on cutting-edge projects in Quantum Computing Security.
- Collaborate with top researchers in the field to advance the understanding of Quantum Computing Security.
- Contribute to the development of new technologies and methods for Quantum Computing Security.
Research Assistant
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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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#J-18808-LjbffrResearch Assistant
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The Media Science Person's Main Functions will be:
- Represents the center as its main contact for the media.
- Handles all dealings with the media.
- Wide range of responsibilities, from preparing press releases and organizing press conferences and interviews, to liaising with media contacts and monitoring media coverage of the organization.
- Managing all Social Media's news. making sure of posting day to day posts related to visits, research activities that will be done at the center, conferences, workshops, talks and any exciting information
- Communication with external organizations
- Bachelor's degree and work experience in related field
- Master's degree and work experience in related field
- Strong Language Skills in Arabic and English
- Preparing and writing articles and press releases.
- Handling enquiries from journalists and other media contacts via telephone calls, email, and written correspondence.
- Arranging and organizing events, interviews, and press conferences.
- Communicate with media representatives and managers.
- Monitoring current affairs and coverage of the organization within the media.
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Research Assistant
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Join to apply for the Research Assistant (Pipeline Health Monitoring) role at United Arab Emirates University, Department of Family Medicine
Research Assistant (Pipeline Health Monitoring)3 days ago Be among the first 25 applicants
Join to apply for the Research Assistant (Pipeline Health Monitoring) role at United Arab Emirates University, Department of Family Medicine
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Job Description
This research position focuses on developing a novel approach for monitoring the integrity of buried pipelines, particularly non-metallic or composite ones, to detect minute defects. The proposed method involves deploying a distributed network of sensors integrated into the pipeline's composite structure to continuously monitor its deflection profile. The role will include developing theoretical equations based on finite element theory to govern the dynamic interactions between the pipeline and surrounding soil, streamlining deflection monitoring and defect localization. The successful candidate will contribute to optimizing sensor network parameters, building and testing experimental prototypes of defective and buried pipelines, and verifying theoretical predictions through experimentation. The goal is to accurately identify defect locations and extents using "structural power flow" as a reliable indicator. This position also involves tasks related to transferring the developed technology to an industrial sponsor.
- A bachelor's degree in a relevant engineering field is required.
- The candidate should have demonstrated experience or a strong interest in structural analysis, sensing technologies, and potentially finite element analysis.
- Knowledge of a any programming language (eg: Matlab, …)
This research position focuses on developing a novel approach for monitoring the integrity of buried pipelines, particularly non-metallic or composite ones, to detect minute defects. The proposed method involves deploying a distributed network of sensors integrated into the pipeline's composite structure to continuously monitor its deflection profile. The role will include developing theoretical equations based on finite element theory to govern the dynamic interactions between the pipeline and surrounding soil, streamlining deflection monitoring and defect localization. The successful candidate will contribute to optimizing sensor network parameters, building and testing experimental prototypes of defective and buried pipelines, and verifying theoretical predictions through experimentation. The goal is to accurately identify defect locations and extents using "structural power flow" as a reliable indicator. This position also involves tasks related to transferring the developed technology to an industrial sponsor.
Minimum Qualification
- A bachelor's degree in a relevant engineering field is required.
- The candidate should have demonstrated experience or a strong interest in structural analysis, sensing technologies, and potentially finite element analysis.
- Knowledge of a any programming language (eg: Matlab, …)
- A Master's degree is preferred but not needed.
- The ideal candidate should possess a comprehensive understanding of structural mechanics, finite element theory, and distributed sensor networks.
- Previous experience in theoretical modeling, experimental setup, and data analysis (e.g., using MATLAB) for structural health monitoring or defect detection in pipelines is highly desirable.
- Familiarity with concepts like "structural power flow" and its application in health monitoring is a significant advantage.
Submit a detailed CV + Cover letter
Close Date Kindly apply before the closing date.
30/09/2025
Apply
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Position NumberSeniority level
- Seniority level Internship
- Employment type Full-time
- Job function Research, Analyst, and Information Technology
- Industries Higher Education
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#J-18808-LjbffrResearch Assistant
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Join to apply for the Research Assistant (Molecular Entomology) role at United Arab Emirates University, Department of Family Medicine.
The KCGEB is recruiting a research assistant to assist the Entomology program in establishing and conducting experiments, as well as assisting with data collection. The project involves handling insects, maintaining Red palm weevil colonies, molecular biology techniques, and genomics. Preference will be given to candidates with experience in molecular biology, cell culture, handling animals, and basic bioinformatics.
Minimum QualificationBachelor's degree or higher in molecular biology or a related field.
Preferred QualificationMaster's degree with experience in molecular biology techniques. Working knowledge of moderately complex research equipment, materials, and processes. Good written and oral communication skills are essential.
Expected Skills- Enthusiastic with a strong desire to learn
- Excellent hands-on skills in manipulating all stages of the red palm weevil and other insects
- Flexibility to work according to the needs of experiments
Kindly apply before the closing date. The position is open until filled.
Additional InformationSeniority level: Entry level
Employment type: Full-time
Job function: Research, Analysis, and Information Technology
Industry: Higher Education
Location: Abu Dhabi, United Arab Emirates
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Research Assistant
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The Department of Chemistry at the United Arab Emirates University (UAEU) is seeking applications for a full-time research assistant to target overexpressing proteins in breast cancer using a combination of drugs by a unique targeted drug delivery system. The successful candidate will be offered a two-year position in a research project supported by a UAEU research council. The candidate will be involved in a project investigating the delivery of drugs in breast cancer cell lines and in-vivo mouse models. The goal of the project is to validate the effectiveness of our novel delivery system, assessing the potential of targeting different proteins for HER2+ cancer management, and exploring broader therapeutic applications. Cell culturing techniques coupled with molecular biology techniques, data analysis, and in vivo studies on breast cancer mouse models will be done in the project.
Minimum Qualification
Highly self-motivated candidates with or fresh PhD in Biochemistry/Immunology/Oncology with a strong academic track record and relevant experience in molecular biology (cloning, electrophoresis, protein purification, western blotting, qPCR), cell culturing techniques, basic bioinformatics, and mice handling techniques are encouraged to apply. Practical experience with HER2+ breast cancer cells, drug delivery systems, and animal handling would be advantageous.
Preferred Qualification
Fresh PhD in Biochemistry/Immunology/Oncology.
Expected Skills
Candidates with experience in qPCR, electrophoresis, western blotting, tissue culture, protein purification techniques, drug delivery and cell toxicity assays, mice handling techniques, and data analysis are required. Candidates having experience in targeting breast cancer proteins/pathways in cell culture and animal models would be preferred. Excellent oral and written communication skills in English and the ability to work well in a collaborative environment with skills in networking. The selected candidate is expected to: 1) Conduct lab work 2) Analyse data; 3) Keep scientific books updated on daily bases; 4) Prepare manuscripts for publication in peer-reviewed scientific journals; 5) Purchase lab chemicals and manage project funds 6) Assist in supervising/mentoring undergraduate and graduate students. To apply for the position applicant must include: 1) A cover letter including a motivation statement for the position; 2) CV (summarizing education, positions and academic work, scientific publications, and other relevant experience); 3) Copies of educational certificates and/or transcripts of records; 4) List of publications and academic work that the applicant wishes to be considered by the evaluating committee; and 4) Names and contact details of three references (name, affiliation, relation to candidate, e-mail and telephone number; the references will be contacted if necessary therefore letters of recommendation are not required for the initial application).
Close Date Kindly apply before the closing date.
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Research Assistant
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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
An appropriate educational degree supplemented with documented evidence to support the following:
- 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.
17/09/2025
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Research Assistant
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Join to apply for the Research Assistant (Electromagnetic scattering and absorption) role at United Arab Emirates University, Department of Family Medicine.
The Electrical and Communication Engineering Department at the United Arab Emirates University is seeking a research assistant in the area of electromagnetic scattering and absorption. The candidate should be knowledgeable in fundamental electromagnetics concepts and calculus. Basic experience in elementary mathematical programming is preferred. Candidates with a B.S. qualification or those in the senior undergraduate level of a B.S. program are encouraged to apply.
Minimum Qualifications- Educational background with documented evidence in mathematical programming tools (e.g., Mathematica, MATLAB).
- Ability to conduct literature reviews.
- Data processing and analysis skills.
- Good technical writing skills.
- Flexible approach and initiative in role execution.
- Willingness to learn CAD tools such as HFSS, ADS, etc.
- Interest in writing and publishing journal papers.
- Adaptability to research-related changes.
Application deadline: 31/12/2025. Please apply before the closing date.
Additional Details- Seniority level: Internship
- Employment type: Full-time
- Job function: Research, Analysis, and Information Technology
- Industry: Higher Education
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