8 Research Center jobs in the United Arab Emirates

The Center for Smart Engineering Materials (CSEM), New York University Abu Dhabi, are inviting applications for a Kawader fellows in the areas of thermal, mechanical and electrical characterization of materials.

The candidate will work as a research fellow with the CSEM and the Smart Materials Lab (Naumov research group), nyuad.nyu.edu/en/research/faculty-research/naumov-group.html). The role will involve preparing, characterizing and testing new smart materials, at the intersection of materials science, chemistry, and engineering. A strong background in thermal or mechanical characterization of the surface and bulk properties of solids from either science (solid-state physics) or engineering (mechanical) is a requirement. The specific research projects will focus on both experimental and modeling aspects of the effects of temperature on mechanical properties, such as ability for elastic or plastic deformation. The candidate will conduct experiments related to assigned research projects, process the data, and prepare results for presentation in articles and conferences. Additionally, the candidate will submit biweekly reports on their research and participate in group seminars. Training students, such as capstone students or interns, and other researchers on techniques within their research domain is also part of the role. The candidate will collaborate with the staff of the Core Technology Platforms to receive training on available analytical techniques.

The candidate should have a background in mechanical engineering, solid-state physics or chemistry, or materials solid-state chemistry. Candidate with experimental skills and/or modelling experience with characterization of thermal and mechanical properties, and with a strong publication record in engineering or science will be given a priority.

The candidate will also work on individualized research projects under the supervision/mentorship of the supervisor.

This position is supervised by Prof.Pan?e Naumov

• CV
• Statement of interest in the position
• Transcript of degree(s)
• Two letters of recommendation

UAE nationals are encouraged to apply

This position is under the NYUAD Kawader program, for details regarding the program, open dates, specific program requirements, and FAQ's please refer to our NYUAD Kawader webpage:

For further information or questions regarding the position/program please contact (due to the high volume of emails received, please allow 5 working days for a response)

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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

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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The Institutional Research Assistant provides essential administrative and operational support to the Office of Institutional Research. This role is designed to assist in the effective execution of institutional research and reporting functions, particularly those related to internal and external data submissions, documentation, stakeholder surveys, and performance monitoring. The role supports the University by ensuring the timely preparation, validation, and organisation of data and reports, enabling informed decision-making and compliance with regulatory requirements.

Internal & External Reporting

• Assist in collecting, formatting, and validating institutional data from various academic and administrative departments.
  
• Support the preparation of standard reports, regulatory submissions, and ad-hoc data requests by compiling documentation and organising content.
  
• Help maintain reporting calendars, data dictionaries, and template files to support reporting cycles to KHDA, CAA, CHEDS, and other bodies.
  
• Coordinate internal workflows required for data verification and submission, including follow-ups and quality checks.
  
• Conduct preliminary desk research and assist in compiling environmental data and benchmarking information to support institutional reports.
  
• Support the preparation of simple data summaries, charts, and basic visualisations under the supervision of the Institutional Research Analyst.
  

• Provide administrative support in the production of reports and presentations related to timetabling, attendance, and stakeholder engagement.
  
• Assist in the distribution, monitoring, and data entry of student, staff, and alumni feedback surveys.
  
• Maintain internal databases, records, and filing systems for institutional research activities.
  
• Support internal and external audit readiness by organising supporting documents and maintaining version control.
  
• Uphold university protocols related to data protection, confidentiality, and ethical research practices.
  
• Undertake training and skills development opportunities to build knowledge of institutional research practices and tools.
  

1. Education

• A Bachelor’s degree in Education, Statistics, Business Administration, Social Sciences, or a related field.
  Evidence: Copy of degree certificate and transcripts.
  

• Up to 1 year of experience in an administrative or data-related role, preferably in an educational or research setting.
  Evidence: Employment records, work portfolio, academic projects.
  

• Proficiency in Excel, Power BI, or Tableau, Word, and other MS Office applications.
  Evidence: Work samples and training certifications.
  
• Exposure to data entry, file organisation, or survey tools is an advantage.
  Evidence: Project reports, tool usage in academic or work settings.
  

1. Detail-Oriented and Responsible

• Ability to manage routine tasks accurately and follow up on administrative procedures.
  Evidence: Examples of data analysis projects, references from previous roles, performance on assessment tasks.
  

• Willingness to work under supervision and contribute to a team-oriented environment.
  Evidence: Project feedback, Employer feedback.
  

• Demonstrates an eagerness to acquire new skills related to research, data analysis, and institutional operations.
  Evidence: Records of training & certification, references from previous roles.
  

1. Administrative and Reporting Coordination

• Familiarity with handling documents, spreadsheets, and report templates in an organised manner.
  Evidence: Evidence: Portfolio of reports, project summaries.
  

• Basic understanding of collecting and compiling data through forms, templates, or surveys.
  Evidence: Experience in compliance reporting, training certificates.
  

• Awareness of the importance of protecting sensitive information and following ethical guidelines.
  Evidence: Interview discussion.
  

• Ability to summarise data, prepare basic charts, and support the formatting of reports.
  Evidence: Previous report sample, performance on assessment tasks.
  

The intent of this job description is to provide a representation of the types of duties and responsibilities that will be required of positions given this title and shall not be construed as a declaration of the total of the specific duties and responsibilities of any particular position. Employees may be directed to perform job-related tasks other than those specifically presented in this description.

Company : Galaxeer Space Consultancy LLC

Date Posted :

Institution: Galaxeer Space Consultancy LLC (Abu Dhabi, UAE) Deadline for Application: July 25, 2025; 5:00 PM

Project Title: Development of a Python-based AI/ML Library for Space Applications

Project Leader: Dr. Florence Wong

Duration: August-September 2025 (subject to extension)

Salary: Php 16,000/month (+ performance-based incentives)

Tentative schedule of interviews: July 28, 2025 (afternoon)

We’re developing a Python library for various applications in space. Accepted applicants will work remotely and coordinate with our team in the UAE for an initial period, subject to extension.

Qualifications, Duties, and Responsibilities:

• Bachelor’s Degree or higher in Computer Science or relevant field
• Experience working with CNN/GNN convolution layers
• Implement foundational CNN/GNN convolution layers with robustness and clarity
• Support data preprocessing, model training pipelines, and testing
• Collaborate closely with senior researchers to integrate and benchmark layers

Interested and qualified applicants should express their interest in writing. Please attach the following documents to the application letter and send to :

• Resume/CV
• A 30-second video outlining relevant CNN/GNN coding experience

Subject: Research Assistant for Galaxeer Project

Selected candidates will be invited for a coding interview and test; candidates who successfully pass the coding interview will be invited to a general interview to assess fit for the role and company culture.