7 Water Quality jobs in the United Arab Emirates

Job Summary

The primary objective of this position is to lead Research for Development (R4D) projects focused on environmental and water quality modeling. The research will investigate the interactions between hydrology, climate, land use, and water quality to enhance water management at the basin and sub-basin levels. The role aims to improve agricultural water productivity, enhance the resilience of ecosystems, and support the livelihoods of farmers by developing advanced models, tools, and strategies to ensure for effective water resource management and mitigate environmental contamination.

Job Responsibilities

• Lead and oversee research on environmental and water quality modeling, focusing on salinity and contaminant transport using advanced models like RIBASIM model. This includes simulating contaminants movement, concentration levels, and dilution dynamic along rivers, streamlines and other water bodies.
• Conduct comprehensive environmental health assessment of the watersheds at basin and sub-basin levels, identifying contamination sources and developing mitigation strategies to reduce pollution loads and safeguard water quality.
• Develop models to simulate the potential environmental impacts of seasonal (winter and summer) irrigation plans, assessing contamination risks associated with agricultural water use, especially brackish and treated wastewater.
• Evaluate environmental damage caused by agricultural practices, particularly those involving brackish water, and collaborate with economists to conduct cost-benefit analyses and economic impact assessments.
• Secure internal and external funding through proposal development, fostering collaborations with international research institutions, government agencies, and private sector partners to support ongoing and future research initiatives.
• Organize and participate in international and regional workshops, conferences, and capacity-building programs, providing training and dissemination research findings to scientists, policymakers and regional specialists.
• Publish high-impact scientific papers and technical reports in leading journals, contributing to the global body of knowledge in environmental modeling, water quality management, and sustainable agricultural practices

Qualifications and Experience

Essential

• PhD in environmental assessment, water quality modeling, hydrology, environmental science, or a related field.
• Minimum of 7 years of experience in environmental assessment, water quality modelling, and management, with a focus on hydrology and environmental health.
• Proficiency with advanced simulation models, including RIBASIM DELWAQ, SWAT, HEC, and other hydrological and hydrodynamic modeling tools for water quality and environmental impact analysis.
• Strong expertise in AI, machine learning techniques, and programing skills in R, Python, or other relevant languages for data analysis, modeling, and scenario simulation.
• Proven experience in designing, managing, and conducting field research independently, with a focus on water quality and environmental health.
• Demonstrated international work experience, including leading multidisciplinary research teams in diverse and challenging environments.
• Excellent verbal and written communication skills in English, with a strong record of publications in peer-reviewed journals.
• Experience in stakeholder engagement, with the ability to build and manage partnerships with academic institutions, government agencies, and private sector organizations

Desirable:

• Experience in the safe use of treated wastewater in agriculture, with a focus on minimizing environmental risks and enhancing sustainable water use.
• Proficiency in remote sensing, GIS technologies, and satellite image processing for environmental monitoring and downscaling data to local scales for practical application.
• Familiarity with water quality regulations, standards, and best practices for pollution control and environmental protection in agricultural settings.
• Knowledge of integrated water resource management (IWRM) principles and their application in arid and semi-arid regions.

Please attach an updated cover letter and C.V. combined in one PDF file along with two names as references in the below link:-

Headquartered in Silicon Valley, we are a newly established start-up where a collective of visionary scientists, engineers, and entrepreneurs are dedicated to transforming the landscape of biology and medicine through the power of generative AI. Our team comprises leading minds and innovators in AI and biological science, pushing the boundaries of what is possible. We are dreamers who reimagine a new paradigm for biology and medicine.

We are committed to decoding biology holistically and enabling the next generation of life-transforming solutions. As the first mover in pan-modal Large Biological Models (LBM), we are pioneering a new era of biomedicine, with our LBM training leading to ground-breaking advancements and a transformative approach to healthcare. Our robust R&D team and leadership in LLMs and generative AI position us at the forefront of this revolutionary field. With headquarters in Silicon Valley, California, and a branch office in Paris and Abu Dhabi, we are poised to make a global impact. Join us as we embark on this journey to redefine the future of biology and medicine through the transformative power of Generative AI.

• You will work with the team to conduct cutting-edge AI and computational biology research. Your primary tasks will include improving existing models and exploring new methodologies to advance our AI capabilities in biology.
• You will work with the team on designing and executing experiments, analyzing complex datasets, and applying statistical techniques to validate the performance and robustness of AI systems.
• Additionally, you will collaborate closely with the AI/ML researchers and computational biologists on the team to develop our state-of-the-art AI for biology foundation models.

• M.S. or Ph.D. student (or evidence of equivalent level of expertise) in Computer Science, Artificial Intelligence, Machine Learning, or a related technical field.
• Skilled in developing, implementing, and debugging deep learning methods/models in popular frameworks, such as JAX, TensorFlow, or PyTorch, with an interest in generative models, graph neural networks, or large-scale deep learning applications.
• Strong theoretical foundation (e.g., statistics, optimization, graph theory, linear algebra).
• Passion for interdisciplinary research (emphasizing the intersection of AI and Biology), and willingness to acquire necessary domain knowledge.
• Motivated and self-driven with the ability to operate with partial descriptions of high-level objectives (as is typical in a start-up environment).
• Familiarity with software engineering best practices (version control, documentation, etc).

• 3 year PhD student and above.
• Proven track record in research and innovation demonstrated through contributions in top-tier AI/ML (e.g., NeurIPS, ICML, CVPR, ECCV, ICCV, ICLR) and/or core biology (e.g., Nature, Science, or Cell) journals and conferences.
• Intern experience in industry (e.g., OpenAI, FAIR, Deepmind, Google Research).
• Hands-on experience working at the intersection of AI and Biology.
• Experience in large-scale distributed training and inference.
• Open-source contributions, especially if used by others.

Join us as we embark on this journey to redefine the future of biology and medicine.

We are an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Overview

New York University in Abu Dhabi, through its NYU Abu Dhabi Institute, seeks to be a world-class center of cutting-edge research, scholarship, and cultural activity. The institute offers outstanding facilities; research funding at a significant level and with exceptional continuity of support; and a vigorous, cohesive, and interactive intellectual environment. Further details about the institute are found at nyuad.nyu.edu/institute/. The research group at the Centre for Sea Level Change (CSLC) works in various areas of sea-level change science ranging from meteorological, oceanographic, and glaciological observations, both in situ and remote sensing, as well as component and coupled models of the atmosphere, ocean, and glacier system. For details, see nyuad.nyu.edu/en/research/nyuad-institute/institute-research/cslc.html.

The CSLC is looking to hire a researcher with expertise in glacier and ice shelf modelling. The scientist will work with others in a team to characterize Antarctic glaciers and assess their instability. The incumbent will perform research on the dynamics of Antarctic glaciers and the effect of ocean and atmosphere on their motion and instability. The work involves, in addition to modelling, the development of diagnostics using satellite and ground-based observational datasets and the possibility to join field campaigns in Arctic and Antarctic.

• Conducting and analyzing experiments on glacier dynamic processes using a glacier model, satellite observations and ground-based observations to assess their instability.
• Developing diagnostics of the physical processes involved in the interactions between glaciers, ice shelves, ocean, sea ice and atmosphere, based on observational and numerical datasets.
• Conduct scientific studies, publish results in peer-reviewed journals and communicate about them in international conferences.

• Good interpersonal and communication skills
• Excellent analytical and problem-solving skills with a proactive approach
• Dedication and enthusiasm to work in a team
• Ability to work efficiently and complete diverse tasks in a timely manner

Education

A PhD degree in oceanography, glaciology or a related discipline.

Experience

Experience with numerical models.

Experience in analyzing large geophysical datasets.

Experience with high-performance computing environments and scientific codes.

Familiarity with glacial modeling software (e.g., ELMER ICE) is an advantage.

Knowledge and skills

Very good programming and scripting skills are expected.

Good understanding of physical processes involved in the interaction between the atmosphere, sea ice, the ocean and land ice is essential.

Language

Candidates must be able to work effectively in English and interviews will be conducted in English.

To be considered, candidates should submit Curriculum Vitae (including the list of their peer-reviewed publications) and the names of three professional references, all in PDF format by email to Dr. Diana FRANCIS ( ) with Prof. David Holland ( ) and Denise Holland ( ) in copy.

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Website

NYUAD Water Research Center at New York University Abu Dhabi, seeks to recruit a research scientist to work on the development of membrane desalination to treat water from the Arabian Gulf feed sources and on the design and scale-up of low energy membranes for water purification, under the supervision of Professor Nidal Hilal, Director of the Water Research Center and Global Professor of Engineering. The successful applicant will drive an exciting project on developing functional membrane materials, including nanostructured polymer membranes tailored to microfiltration, ultrafiltration, membrane distillation, nanofiltration and reverse osmosis. The candidate will employ advanced membrane fabrication techniques and characterization tools (SEM, TEM, DSC, TGA, BET, etc.) to establish fabrication-structure-property-performance relationships in novel materials for sustainable desalination and water treatment. The candidate will work in a multidisciplinary environment consisting of PhD-level scientists and engineers, graduate students and undergraduate students. The successful applicant will manage projects and work closely with postdoctoral researchers, build deep technical knowledge and develop transferable solutions. He/she will participate in developing novel concepts and writing proposals. He/she will work towards solving complex problems with efficiency and creativity. He/she will be involved in writing reports, authoring publications, drafting patents and presenting results at conferences. The successful candidate will have a demonstrated knowledge of materials science and engineering, membrane fabrication techniques, membrane characterization tools and separation processes. He/she will be detail-oriented, well-organized and will possess excellent verbal and written communication skills. The successful candidate should be able to work independently and as part of a team. Applicants must hold a PhD in Materials Science and Engineering, Polymer Chemistry, Chemical Engineering, or a related field, and have a minimum of five years? experience as a Postdoctoral Research Associate . Excellent experimental and analytical skills relevant to the project (in particular membrane fabrication and characterization) are required. Candidates with demonstrated history of peer reviewed publications in a related area, along with prior expertise in materials science and analytical chemistry will be preferred. This position will begin in March 2026 as a two-year contract, renewable depending on performance. The terms of employment are very competitive and include housing and educational subsidies for children. Applications will be accepted immediately and candidates will be considered until the position is filled. To be considered, all applicants must submit a cover letter, curriculum vitae, a one-page summary of research accomplishments and interests, and at least 2 references, all in PDF format. Please visit our website at for instructions and information on how to apply. If you have any questions, please email: . 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 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/Sexual Orientation/Gender Identity Employer

UAE Nationals are encouraged to apply.

For people in the EU, click here for information on your privacy rights under GDPR:

NYU is an Equal Opportunity Employer and is committed to a policy of equal treatment and opportunity in every aspect of its recruitment and hiring process without regard to age, alienage, caregiver status, childbirth, citizenship status, color, creed, disability, domestic violence victim status, ethnicity, familial status, gender and/or gender identity or expression, marital status, military status, national origin, parental status, partnership status, predisposing genetic characteristics, pregnancy, race, religion, reproductive health decision making, sex, sexual orientation, unemployment status, veteran status, or any other legally protected basis. All interested persons are encouraged to apply for vacant positions at all levels.

Sustainability Statement

NYU aims to be among the greenest urban campuses in the country and carbon neutral by 2040. Learn more atnyu.edu/sustainability

Company description:

Terry Soot Management Group (TSMG) is a field data collection company founded in 2017 in Europe. We collect data where automation is not possible. We count features, take pictures, make videos, record speech, and scan areas for every detail you need to make more informed decisions. Our field data collection teams are spread across Europe and North America, ready to accept new challenges.

Project description:

The goal of the project is to collect visual and geo data for online mapping applications improvements.

The Task:

We are looking for a team of pedestrians/surveyors in some of the European countries. People will be provided with a special backpack with a camera mounted on the top. The main task will be to walk from location to location within the frames of the assigned area to let the camera film the surroundings.

Schedule:

Monday - Friday, from 6 to 8 hours/day.

Requirements:

• Good physical shape (~5-6 hours of walking every day).
• Excellent communication skills.
• Attention to details.
• Fluent English (at least B1+).
• Driver's license.
• Must be eligible for travels.
• Experience in the data collection field is a big advantage but not required.

What we provide:

• We provide a full training before the project starts (the training is paid).
• All expenses related to travel, data plan, SIM card purchase are covered.
• All necessary equipment is also provided by the company.
• A letter of recommendation mentioning your experience in the data collection field.
• Full management support and opportunity to grow.