17 Postdoctoral Researcher jobs in the United Arab Emirates

Wireless Communication Research Opportunity

The American University of Sharjah invites applications for a postdoctoral research position in wireless communication. This exciting opportunity is designed for ambitious researchers to contribute to the development of next-generation networks, smart cities, and IoT systems.

This role offers a chance to work at the intersection of theoretical innovation and impactful real-world systems. The successful candidate will have the opportunity to publish in top-tier venues, collaborate on significant research problems, and contribute to a fast-moving, ambitious research environment.

To be considered for this position, candidates must possess a PhD in Electrical Engineering, Computer Science, Applied Mathematics, or a closely related field. A strong publication record and deep technical skills in one or more of the following areas are also required:

Postdoc position @MBZUAI in vision-language processing, focusing on improved grounding and robustness of generative vision-language models.

Relevant tasks include scientific figure understanding, text-in-image reasoning, and multimodal QA.

Duration : 1-year in person position with the possibility of extension depending on satisfactory performance.

Location : Masdar City, Abu Dhabi, UAE.

Qualifications : Applicants should hold a PhD in a relevant field, have a strong publication record, and extensive experience with VLMs (e.g., BLIP, LLaVA, Qwen).

To apply, email your CV, cover letter, and contacts of at least two references to and

To access the full job description follow the link below:

Postdoc position @MBZUAI in vision-language processing, focusing on improved grounding and robustness of generative vision-language models.

Relevant tasks include scientific figure understanding, text-in-image reasoning, and multimodal QA.

Duration: 1-year in person position with the possibility of extension depending on satisfactory performance.

Location: Masdar City, Abu Dhabi, UAE.

Qualifications: Applicants should hold a PhD in a relevant field, have a strong publication record, and extensive experience with VLMs (e.g., BLIP, LLaVA, Qwen).

To apply, email your CV, cover letter, and contacts of at least two references to and

To access the full job description follow the link below:

• Design and evaluate sustainable concrete formulations, including geopolymer, seawater/sea-sand concrete, and LC3.
• Conduct experimental studies on mechanical, durability, and thermal properties under Gulf-specific environmental conditions.
• Use advanced lab equipment for full-scale structural testing and environmental exposure studies.
• Integrate AI/ML models for mix optimization, performance prediction, and lifecycle assessment.
• Publish research outcomes in leading peer-reviewed journals.
• Contribute to writing technical reports and grant deliverables.
• Mentor and collaborate with graduate students and junior researchers.
• Participate in project meetings and communicate findings to stakeholders.
• Participate in organizing conferences and workshops.
  

• PhD in Structural Engineering, Civil Engineering, Materials Science, or a closely related field.
• Strong track record in concrete mechanics, low-carbon materials, and structural testing.
• Demonstrated publication record in high-impact journals and conference proceedings.
• Advanced experimental techniques in concrete durability and strength testing.
• Familiarity with chloride ingress, carbonation, and heat/humidity exposure methods.
• Ability to work across interdisciplinary teams and support graduate student mentorship.
• Strong written and verbal communication skills in English.
  

• Background in sustainable construction in hot, humid, and coastal environments.
• Experience with integration of recycled aggregates and seawater systems.
• Proficiency in AI/ML tools for infrastructure optimization.
• Skilled in handling large datasets related to material and environmental analysis.
  

• Interested applicants should fill out this form.
• AUS alumni are encouraged to apply. Applicants who do not meet specified requirements will not be shortlisted. Only shortlisted candidates will be contacted.
• AUS is an equal opportunity employer. We adhere to a policy of making employment decisions without regard to race, color, age, gender, religion, national origin, disability or marital status. Opportunities for employment are based solely upon one’s qualifications.

• Conduct cutting-edge research on multi-energy systems, including renewable energy, data centers, desalination systems, EVs, and energy storage integration.
• Develop and implement optimization models for efficient smart grid operation.
• Perform simulation-based studies to evaluate energy system interactions and performance.
• Publish research outcomes in leading peer-reviewed journals.
• Contribute to writing technical reports and grant deliverables.
• Mentor and collaborate with graduate students and junior researchers.
• Participate in project meetings and communicate findings to stakeholders.
• Participate in organizing conferences and workshops.
  

• PhD in Electrical Engineering or a closely related field with a focus on energy systems.
• Solid track record of peer-reviewed publications in energy systems and smart grids.
• Advanced skills in optimization techniques, simulation tools, and modeling frameworks.
• In-depth knowledge of power systems, energy system integration, and optimization.
• Familiarity with simulation platforms (e.g., MATLAB, Python, GAMS, etc.).
• Strong written and verbal communication skills in English.
• High degree of independence, initiative, and problem-solving ability.
  

• Background in interdisciplinary energy applications such as EVs, data centers, and desalination systems.
• Prior research experience in projects involving renewable energy, energy storage, or EVs.
• Experience in supervising or mentoring graduate-level researchers.
  

• Interested applicants should fill out this form.
• AUS alumni are encouraged to apply. Applicants who do not meet specified requirements will not be shortlisted. Only shortlisted candidates will be contacted.
• AUS is an equal opportunity employer. We adhere to a policy of making employment decisions without regard to race, color, age, gender, religion, national origin, disability or marital status. Opportunities for employment are based solely upon one’s qualifications.

• Design and develop nanocomposite membranes for hydrogen fuel cells.
• Conduct material synthesis and membrane fabrication experiments.
• Conduct lifecycle and sustainability analyses of membrane technologies.
• Publish research outcomes in leading peer-reviewed journals.
• Contribute to writing technical reports and grant deliverables.
• Mentor and collaborate with graduate students and junior researchers.
• Participate in project meetings and communicate findings to stakeholders.
• Participate in organizing conferences and workshops.
  

• PhD in Chemical Engineering or a closely related field with a focus on hydrogen.
• Solid track record of peer-reviewed publications in hydrogen and fuel cells.
• Proven experience in membrane fabrication, nanocomposite materials, or fuel cell system design.
• Strong background in polymer chemistry, proton conductivity, and hydrogen bonding for PEM applications.
• Experience in membrane fabrication and functionalization using natural polymers (e.g., chitosan, cellulose).
• Proficiency in key characterization techniques (e.g., FTIR, SEM, XRD, EIS, TGA).
• Understanding of dual-operation PEM systems (electrolyzer and fuel cell modes).
• Strong written and verbal communication skills in English.
• High degree of independence, initiative, and problem-solving skills.
  

• Background in interdisciplinary areas of materials science, energy systems, and fuel cell technology
• Prior research involvement in projects involving fuel cells and the integration of hydrogen technologies with renewable energy systems
• Experience in supervising or mentoring graduate-level researchers
  

• Interested applicants should fill out this form.
• AUS alumni are encouraged to apply. Applicants who do not meet specified requirements will not be shortlisted. Only shortlisted candidates will be contacted.
• AUS is an equal opportunity employer. We adhere to a policy of making employment decisions without regard to race, color, age, gender, religion, national origin, disability or marital status. Opportunities for employment are based solely upon one’s qualifications.

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.

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.

Responsibilities

• Conduct research in areas such as training data, pre-training, and model training.
• Research and prototype innovative evaluation methods.
• Collaborate with product and infrastructure teams to build and scale tools for responsible deployment.
• Design and develop models that drive real-world impact and continuous improvement.

Qualifications

• Proven track record of generating new ideas or enhancing existing ones in machine learning, evidenced by first-author publications or notable projects.
• Ability to lead and execute a research agenda, selecting impactful problems and managing long-term projects independently.
• Experience in developing novel techniques for measuring and mitigating ML model performance.
• Comfortable working across research and product teams in a cross-functional environment.