109 Research Assistant jobs in the United Arab Emirates

Company Description

KILONEWTONS ), founded by Sameer Ahmed, is the largest Engineering and Construction Company globally. We employ top professionals including Engineers, Architects, and Project Managers to deliver world-class services worldwide. At KILONEWTONS, we value our people and share a vision for a sustainable world in partnership with Engie Impact. Our culture fosters innovation, accountability, and agility, underpinned by training and mentorship. We are committed to equality and diversity, ensuring equal opportunities for all employees and applicants regardless of age, race, gender, religion, or sexual orientation.

Role Description

This is a full-time on-site role for a Research Assistant located in Dubai. The Research Assistant will be responsible for conducting research, analyzing data, and assisting with laboratory tasks. Day-to-day tasks include gathering and interpreting data, preparing reports, and supporting project teams with their research needs.

Qualifications

• Strong Analytical Skills and Data Analysis capabilities
• Proficiency in Research and Laboratory Skills
• Excellent Communication skills
• Attention to detail and ability to work independently
• Bachelor's degree in a relevant field, such as Engineering, Science, or a related discipline
• Prior experience in a research or laboratory setting is a plus

Job Description The Media Science Persons 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 Medias 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

Minimum Qualification

• Bachelor s degree and work experience in related field

Preferred Qualification

• Master s degree and work experience in related field

Expected Skills

• 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.

Job Description

The Department of Civil and Environmental Engineering at the United Arab Emirates University is seeking a Research Assistant (02 positions) in the area of groundwater resources and climate resilience. The research assistant will contribute to developing a high-resolution gridded groundwater dataset for the UAE using advanced remote sensing and machine learning techniques. The candidate should be able to integrate in-situ and satellite observations, including GRACE data, to estimate groundwater storage variations and apply machine learning models to improve groundwater predictions. The preferred candidate should have a Bachelors (Honours) degree in a relevant field and demonstrated experience in hydrology, remote sensing, climate data analysis, and machine learning applications. A solid background in climate change analysis (including rainfall variability effects on catchment hydrology), and big-data processing is highly desirable. The candidate should hold at least a Master's degree in Civil Engineering, specialized in water resource engineering/management, geoinformatics, or a related field, with a proven ability to conduct independent research and publish in high–impact factor journals.

Minimum Qualification

• Bachelors (Honours) degree in a relevant field and a Master's degree in water resources engineering/management, geoinformatics, or a closely related field.
  • Demonstrated knowledge and research experience in hydrology, remote sensing, and climate data analysis.
  • Proficiency in data processing, statistical analysis, and machine learning techniques relevant to groundwater studies.
  • Knowledge in GIS software and applications and programming/coding in R, Python, etc., with knowledge in big data/climate data handling.
  • Proven ability to conduct independent research and publish in peer-reviewed journals.

Preferred Qualification

• Experience in remote sensing data analysis.
  • Strong background in evaluating climate change impacts on water resources, particularly rainfall variability and catchment hydrology.
  • Demonstrated expertise in applying advanced machine learning models to hydrological and environmental datasets.
  • Experience in working with surface water/groundwater modelling and programming/coding (Python, etc.)
  • Track record of publishing research in high–impact factor journals and contributing to collaborative, interdisciplinary projects.

Special Instructions to Applicant

Submit a detailed CV

Close Date Kindly apply before the closing date.

31/12/2025

Job Description

The Architectural Engineering Department at the United Arab Emirates University is seeking a research assistant in the area of building energy performance gap and remote sensing technologies. The research assistant should be knowledgeable of building energy consumption and its energy performance gap from operational issues. The candidate should be able to synthesize, characterize and apply POE and remote sensing technologies with machine learning for analyzing building energy performance. The preferred candidate should have demonstrated experience in the both POE and dynamic building simulation software (such as, DesignBuilder, IES VE and so on) and have a master degree in relevant field.

Minimum Qualification

An appropriate educational degree supplemented with documented evidence to support the following:
• Skilled in Revit, Auto CAD, DesignBuilder, POE
• Ability to synthesize and characterize building operational process, building energy consumption and POE results
• Good technical writing skills
• Flexible approach and initiative in executing the role.

Preferred Qualification

• Demonstrable willingness to support work in the lab
  • Be adaptable and flexible to the continuous changes associated with research demands
  • Commitment to provide a safe and healthy workplace

Special Instructions to Applicant

Submit a detailed CV

Close Date Kindly apply before the closing date.

31/12/2025

Job Description

• Under supervision, performs a variety of manual, repetitive tasks such as watering, weeding, nurturing, cultivating, pruning, trimming, staking and/or harvesting of plants, trees, shrubs and/or crops.
• Loads and unloads containers.
• Operates manual and mechanical farm equipment.
• Performs other duties as assigned by the supervisor.

Minimum Qualification

• Secondary School Certificate or Diploma in Horticulture

Preferred Qualification

• Higher Diploma in Horticulture or related field

Expected Skills

• Knowledge in horticulture and nursery activities.
• Hardening of tissue culture date plantlets.
• Competence of innovation in the field of nursery.
• Able to operate automatic irrigation systems adapted to plants nursery & farm.
• Knowledge of plant propagation and nutrition s.
• Good communication and team work skills.
• Fluency in Arabic and English is required.
• Al least 2 years experience in horticulture field.

Job Description
The Department of Civil and Environmental Engineering at the United Arab Emirates University is seeking a Research Assistant (02 positions) in the area of groundwater resources and climate resilience. The research assistant will contribute to developing a high-resolution gridded groundwater dataset for the UAE using advanced remote sensing and machine learning techniques. The candidate should be able to integrate in-situ and satellite observations, including GRACE data, to estimate groundwater storage variations and apply machine learning models to improve groundwater predictions. The preferred candidate should have a Bachelors (Honours) degree in a relevant field and demonstrated experience in hydrology, remote sensing, climate data analysis, and machine learning applications. A solid background in climate change analysis (including rainfall variability effects on catchment hydrology), and big-data processing is highly desirable. The candidate should hold at least a Master's degree in Civil Engineering, specialized in water resource engineering/management, geoinformatics, or a related field, with a proven ability to conduct independent research and publish in high–impact factor journals.

Minimum Qualification

• Bachelors (Honours) degree in a relevant field and a Master's degree in water resources engineering/management, geoinformatics, or a closely related field.
• Demonstrated knowledge and research experience in hydrology, remote sensing, and climate data analysis.
• Proficiency in data processing, statistical analysis, and machine learning techniques relevant to groundwater studies.
• Knowledge in GIS software and applications and programming/coding in R, Python, etc., with knowledge in big data/climate data handling.
• Proven ability to conduct independent research and publish in peer-reviewed journals.

Preferred Qualification

• Experience in remote sensing data analysis.
• Strong background in evaluating climate change impacts on water resources, particularly rainfall variability and catchment hydrology.
• Demonstrated expertise in applying advanced machine learning models to hydrological and environmental datasets.
• Experience in working with surface water/groundwater modelling and programming/coding (Python, etc.)
• Track record of publishing research in high–impact factor journals and contributing to collaborative, interdisciplinary projects.

Special Instructions to Applicant

Submit a detailed CV

Close Date Kindly apply
before
the closing date.

31/12/2025

Apply

Department

Division

Grade

Posting Number

Position Number

Job Description

The Date Palm Unit is seeking a dedicated and skilled Research Assistant to join our team. This role involves executing methodologies for plant tissue culture and micropropagation cloning activities, playing a crucial part in our mission to advance mass-scale clone production. Primary Responsibilities:
• Perform tissue culture and micropropagation methodologies for large-scale clone production.
• Help execute cultivation methods for efficient, high-throughput propagation.
• Maintain glassware and culture media stock for production.
• Operate laboratory equipment safely, including autoclaves, centrifuges, incubators, laminar flow hoods, and analytical balances.
• Ensure the cleanliness of glassware, plastic ware, and other supplies as needed.

Minimum Qualification

High school as a minimum requirement.
• Diploma in Plant Science or a related field as a maximum qualification.

Preferred Qualification

• High school as a minimum requirement.
  • Diploma in Plant Science or a related field as a maximum qualification. Experience:
  • 1-2 years of experience in plant tissue culture, nursery production, plant propagation, or a sterile laboratory setting, or a combination thereof, is strongly preferred.
  • Experience in setting up, operating, and maintaining laboratory equipment and apparatus, and modifying equipment according to experimental specifications.
  • Proficiency in optimizing plant production techniques/protocols and maintaining general laboratory cleanliness, organization, and safety.
  • Perform other duties as assigned by the immediate supervisor.

Expected Skills

Desired Skills:
• Excellent listening skills, ability to follow protocols, and willingness to learn new skills.
• Detail-oriented with a focus on precision.
• Experience producing clones in a commercial nursery setting.
• Proficiency in sterile techniques and maintaining plant tissue culture.
• Familiarity with maintaining and archiving laboratory documents, SOPs, electronic record-keeping, and inventory management.
• Strong organizational, communication, and problem-solving skills.
• Ability to perform delicate work with small hand tools for extended periods.

Close Date Kindly apply before the closing date.

31/10/2025

Job Description
The Date Palm Unit is seeking a dedicated and skilled Research Assistant to join our team. This role involves executing methodologies for plant tissue culture and micropropagation cloning activities, playing a crucial part in our mission to advance mass-scale clone production. Primary Responsibilities:

• Perform tissue culture and micropropagation methodologies for large-scale clone production.
• Help execute cultivation methods for efficient, high-throughput propagation.
• Maintain glassware and culture media stock for production.
• Operate laboratory equipment safely, including autoclaves, centrifuges, incubators, laminar flow hoods, and analytical balances.
• Ensure the cleanliness of glassware, plastic ware, and other supplies as needed.

Minimum Qualification

High school as a minimum requirement.

• Diploma in Plant Science or a related field as a maximum qualification.

Preferred Qualification

• High school as a minimum requirement.
• Diploma in Plant Science or a related field as a maximum qualification. Experience:
• 1-2 years of experience in plant tissue culture, nursery production, plant propagation, or a sterile laboratory setting, or a combination thereof, is strongly preferred.
• Experience in setting up, operating, and maintaining laboratory equipment and apparatus, and modifying equipment according to experimental specifications.
• Proficiency in optimizing plant production techniques/protocols and maintaining general laboratory cleanliness, organization, and safety.
• Perform other duties as assigned by the immediate supervisor.

Expected Skills

Desired Skills:

• Excellent listening skills, ability to follow protocols, and willingness to learn new skills.
• Detail-oriented with a focus on precision.
• Experience producing clones in a commercial nursery setting.
• Proficiency in sterile techniques and maintaining plant tissue culture.
• Familiarity with maintaining and archiving laboratory documents, SOPs, electronic record-keeping, and inventory management.
• Strong organizational, communication, and problem-solving skills.
• Ability to perform delicate work with small hand tools for extended periods.

Close Date Kindly apply
before
the closing date.

30/11/2025

Apply

Department

Division

Grade

Posting Number

Position Number

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

• 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.

Minimum Qualification

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).

Preferred Qualification

• 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.

Special Instructions to Applicant

Submit a detailed CV

Close Date Kindly apply
before
the closing date.

30/11/2025

Apply

Department

Division

Grade

Posting Number

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