471 Research Internship jobs in the United Arab Emirates
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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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.
Open until filled
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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 (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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#J-18808-LjbffrResearch 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
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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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Join to apply for the Research Assistant role at United Arab Emirates University, Department of Family Medicine
3 days ago Be among the first 25 applicants
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Job Description
Research Assistant in Machine learning and AI Agentic Development Job description The research assistant should have an experience in research works on the field of machine learning Agentic development using LLM AI agent. It will be highly valued for the position to have an experience in Health problem modeling, and data analysis using LLM (healthcare data, intervention data, inter-sector associated data, etc.). Besides mastering data mining process, the candidate should have a good experience in search based problem solving and metaheuristics. The mission of the research assistant is to participate intensively in research works that aim at solving Health care modeling problems using LLM and Ai agent such as (1) understanding and diagnosing the dynamic of the pandemic during the past pandemic eras. (2) proposing methodology based on LLM and AI agentic application to resolve decision problem related to pandemics. AI agent development, Metaheuristics optimization, deep learning-based mining and big data experience are highly needed to bring solutions to several pandemic modeling tasks. The position effective date is 15th of June 2025 or when the position will be filled and ends on 31st of December 2025 with the possibility of extension The salary will be determined and readjusted based on candidate's skills evaluation and achievements.
Job Description
Research Assistant in Machine learning and AI Agentic Development Job description The research assistant should have an experience in research works on the field of machine learning Agentic development using LLM AI agent. It will be highly valued for the position to have an experience in Health problem modeling, and data analysis using LLM (healthcare data, intervention data, inter-sector associated data, etc.). Besides mastering data mining process, the candidate should have a good experience in search based problem solving and metaheuristics. The mission of the research assistant is to participate intensively in research works that aim at solving Health care modeling problems using LLM and Ai agent such as (1) understanding and diagnosing the dynamic of the pandemic during the past pandemic eras. (2) proposing methodology based on LLM and AI agentic application to resolve decision problem related to pandemics. AI agent development, Metaheuristics optimization, deep learning-based mining and big data experience are highly needed to bring solutions to several pandemic modeling tasks. The position effective date is 15th of June 2025 or when the position will be filled and ends on 31st of December 2025 with the possibility of extension The salary will be determined and readjusted based on candidate's skills evaluation and achievements.
Minimum Qualification
Master of science
Preferred Qualification
Master of Science/ PH.D
Close Date Kindly apply before the closing date.
30/09/2025
Apply
Department
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- Seniority level Entry level
- Employment type Full-time
- Job function Research, Analyst, and Information Technology
- Industries Higher Education
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Get notified about new Research Assistant jobs in Abu Dhabi, Abu Dhabi Emirate, United Arab Emirates.
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#J-18808-LjbffrResearch Assistant
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Join to apply for the Research Assistant role at United Arab Emirates University, Department of Family Medicine.
Job Description
This is a full-time on-site role for a Research Assistant (RA) at United Arab Emirates University (UAEU)-College of IT Department of Computer Science and Software Engineering. The RA will be responsible for conducting research, data analysis, utilizing laboratory skills, and effectively communicating findings. The day-to-day tasks will involve assisting in various research projects and supporting academic staff in their scholarly activities. Additionally, the RA will support in conducting studies by collecting, analyzing, and interpreting data, preparing reports, and maintaining research documentation. The RA will be responsible for conducting literature reviews, assisting with the design and implementation of experiments or surveys, and utilizing tools like statistical software to analyze results. The RA will prepare summaries, draft academic papers, and help manage project logistics such as scheduling and material organization. Strong communication, attention to detail, and technical proficiency are essential, along with a relevant academic background. This role involves collaboration with research teams and contributing to the overall success of research initiatives.
Minimum Qualification
Bachelor's degree in a relevant field (Computer Science, Software Engineering, Artificial Intelligence, etc.).
Preferred Qualification
Master's degree in Computer Science, Software Engineering, Artificial Intelligence, etc.
Expected Skills
- Previous experience in academic research
- Strong analytical skills and data analysis abilities
- Excellent communication skills
- Proficiency in research methodologies
- Ability to work independently and in a team
Salary Range
AED7500 - AED8000 per month
Close Date
Kindly apply before the closing date. Open until filled.
Additional Information
Seniority level: Entry level
Employment type: Full-time
Job function: Research, Analyst, and Information Technology
Industries: Higher Education
#J-18808-LjbffrResearch Assistant
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Job Description
We are looking for a hard-working person who is interested in organic chemistry/medicinal chemistry to carry out the project "Synthesis of new drugs for the treatment of Alzheimer's diseases".
Major Responsibilities:
- Design and synthesis of new molecules.
- Characterization using techniques such as NMR, FT-IR, MS, and GC.
- Reporting the obtained results.
- Publishing papers in peer-reviewed journals and making presentations at conferences.
- Supervising undergraduate students.
The candidate appointment is for (4) months as a probatory period renewable for two years. The package includes a monthly allowance of AED 5,000 and medical insurance is covered.
Minimum Qualification:
The candidate must have completed a master's degree. PhD degree in organic chemistry preferred.
Preferred Qualification:
The ideal candidate should have experience in organic synthesis and in medicinal chemistry, especially in Alzheimer's and Parkinson's diseases.
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