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research scientist

New York University

<div><div><div><div>New York University: NYU - Global: Abu Dhabi: AD_Science
</div></div></div><div><div><h3 class="jobSectionHeader"><b>Location
</b></h3><div>Abu Dhabi
</div></div><div><h3 class="jobSectionHeader"><b>Open Date
</b></h3><div>Sep 18, 2025
</div></div></div><div><div><h3 class="jobSectionHeader"><b>Description
</b></h3><div><div><p>The theoretical physics group in the Science Division of New York University Abu Dhabi, seeks to recruit a Associate Research Scientist to work on theoretical cosmology including string cosmology and the study of fundamental sources of gravitational.</p>
<p>
The successful applicant will drive independent research on the main open questions facing theoretical cosmology and support research of young postdoctoral fellows and graduate students. The candidate will work in a multidisciplinary environment consisting of PhD-level scientists, graduate students and undergraduate students.</p>
<p>
Applicants must have at least 5 years of research experience after a PhD in theoretical physics and a proven solid record of publications and conference presentations in the field.</p>
<p>
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, transcript of degree, a one-page summary of research accomplishments and interests, and at least 2 letters of recommendation from established scientists in the field, all in PDF format. The position can start immediately after February 3 2026 and is for an original period of 3 years, renewable to another 3 depending on performance and availability of funds.</p>
<p>
About NYUAD:</p>
<p>
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&rsquo;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.</p>
<p>
EOE/AA/Minorities/Females/Vet/Disabled/Sexual Orientation/Gender Identity Employer</p>
<p>
UAE Nationals are encouraged to apply.</p></div></div></div></div></div>

Associate Research Scientist in the Division of Science (Physics) - Dr. Fernando Quevedo

<div><div><div><div>New York University: NYU - Global: Abu Dhabi: AD_Science
</div></div></div><div><div><h3 class="jobSectionHeader"><b>Location
</b></h3><div>Abu Dhabi
</div></div><div><h3 class="jobSectionHeader"><b>Open Date
</b></h3><div>Sep 15, 2025
</div></div></div><div><div><h3 class="jobSectionHeader"><b>Description
</b></h3><div><div><p>The Trabolsi Research Group at New York University Abu Dhabi invites applications for a research scientist position focused on the development of covalent organic frameworks (COFs)-based adsorbents and membranes for advanced water purification technologies.</p>
<p>
Position Overview:</p>
<p>
The successful candidate will lead innovative and interdisciplinary research focused on optimizing the application of responsive covalent organic frameworks (COFs) for diverse challenges in water treatment, health, and energy. This role will emphasize the directed synthesis and structural design of COFs tailored to achieve high selectivity and efficiency in targeted applications. In particular, the candidate will develop COFs engineered for the selective removal of specific contaminants from water, and will conduct comprehensive mechanistic studies of their molecular interactions with a range of emerging pollutants, including pharmaceuticals, endocrine disruptors, and persistent organic compounds. Beyond environmental applications, the project also envisions extending responsive COF platforms to biomedical and energy-related systems, leveraging their tunable porosity, functional diversity, and dynamic responsiveness. The candidate will be expected to integrate advanced characterization techniques, computational modeling, and performance evaluation to drive fundamental understanding as well as practical implementation of these materials.</p>
<p>
This position offers an exciting opportunity to contribute to cutting-edge research in water purification while working within a vibrant research community at NYU Abu Dhabi.For consideration, applicants need to submit a cover letter, curriculum vitae with full publication list, degree transcript, statement of research interests, and at least two letters of reference, all in PDF format. If you have any questions, please email Ali Tarbolis - at105@nyu.edu</p><br>
<p></p>
<p>
About NYUAD:</p>
<p>
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&rsquo;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.</p>
<p>
EOE/AA/Minorities/Females/Vet/Disabled/SexualOrientation/Gender Identity Employer</p>
<p>
UAE Nationals are encouraged to apply.</p></div></div></div></div></div>

Research Scientist in the Division of Science (Chemistry) - Dr. Ali Trabolsi

New York University Abu Dhabi

<div>
 The Trabolsi Research Group at New York University Abu Dhabi invites applications for a research scientist position focused on the development of covalent organic frameworks (COFs)-based adsorbents and membranes for advanced water purification technologies.
 <br/>
 <br/>
 <strong>
  Position Overview
  <br/>
  <br/>
 </strong>
 The successful candidate will lead innovative and interdisciplinary research focused on optimizing the application of responsive covalent organic frameworks (COFs) for diverse challenges in water treatment, health, and energy. This role will emphasize the directed synthesis and structural design of COFs tailored to achieve high selectivity and efficiency in targeted applications. In particular, the candidate will develop COFs engineered for the selective removal of specific contaminants from water, and will conduct comprehensive mechanistic studies of their molecular interactions with a range of emerging pollutants, including pharmaceuticals, endocrine disruptors, and persistent organic compounds. Beyond environmental applications, the project also envisions extending responsive COF platforms to biomedical and energy-related systems, leveraging their tunable porosity, functional diversity, and dynamic responsiveness. The candidate will be expected to integrate advanced characterization techniques, computational modeling, and performance evaluation to drive fundamental understanding as well as practical implementation of these materials.
 <br/>
 <br/>
 This position offers an exciting opportunity to contribute to cutting-edge research in water purification while working within a vibrant research community at NYU Abu Dhabi.For consideration, applicants need to submit a cover letter, curriculum vitae with full publication list, degree transcript, statement of research interests, and at least two letters of reference, all in PDF format. If you have any questions, please email Ali Tarbolis - at105@nyu.edu
 <br/>
 <br/>
 <strong>
  About NYUAD
  <br/>
  <br/>
 </strong>
 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&rsquo;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.
 <br/>
 <br/>
 EOE/AA/Minorities/Females/Vet/Disabled/SexualOrientation/Gender Identity Employer
 <br/>
 <br/>
 UAE Nationals are encouraged to apply.
 <br/>
 <br/>
 <strong>
  Equal Employment Opportunity Statement
  <br/>
  <br/>
 </strong>
 <strong>
  For people in the EU, click here for information on your privacy rights under GDPR: www.nyu.edu/it/gdpr
  <br/>
  <br/>
 </strong>
 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.
 <br/>
 <br/>
 <strong>
  Sustainability Statement
  <br/>
  <br/>
 </strong>
 NYU aims to be among the greenest urban campuses in the country and carbon neutral by 2040. Learn more at nyu.edu/sustainability
</div>


<div><div><div><div>New York University: NYU - Global: Abu Dhabi: AD_Social Science
</div></div></div><div><div><h3 class="jobSectionHeader"><b>Location
</b></h3><div>Abu Dhabi
</div></div><div><h3 class="jobSectionHeader"><b>Open Date
</b></h3><div>Sep 18, 2025
</div></div></div><div><div><h3 class="jobSectionHeader"><b>Description
</b></h3><div><div><p>We are seeking researchers who are passionate about Data Science, with an emphasis in Computational Social Science, with a starting date of September 1, 2026. Some of the possible research topics include: (i) social media analysis, (ii) collaboration and teamwork, (iii) gender inequality, (iv) diversity, (v) online controlled experiments, and (vi) network science.</p>
<p>
The ideal candidate is self-motivated and hard-working with a Masters degree in Data Science, Computational Social Science, Computer Science, or Information Science, or a bachelor&rsquo;s degree with several years of experience and expertise in their field. The position requires experience with at least one of the following: Data Science, Machine Learning, Computational Social Science, Big Data. Relevant skills could include statistical analysis, data management and collection, causal inference, network analysis, graph theory, visualizations, and online tool development. Experience in conducting online controlled experiments is also desired, but not required. Excellent communication skills in English, ability to work in multidisciplinary teams, and scientific creativity are essential.</p>
<p>
Selected candidates will be working closely with Bedoor AlShebli, an Assistant Professor in Computational Social Science in the Social Science Division at NYUAD. The selected candidate will receive an appointment for three years. The position provides salary higher than internationally competitive rates for Post-Doctoral / Research Engineering / Research Associate positions, in addition to substantial benefits (generous housing, transportation and travel allowances, educational subsidies for children), together with full health insurance and retirement contributions. The UAE does not levy income tax.</p>
<p>
Applications will be accepted on a rolling basis and candidates will be considered until the position is filled. To be considered, all applicants must submit a cover letter, curriculum vitae, a research statement highlighting past and current research experience, transcript and at least two reference letters, all in PDF format. If you have any questions, please email: Bedoor AlShebli bedoor@nyu.edu.</p>
<p>
Working for NYUAD</p>
<p>
To help Postdoctoral Associates and faculty thrive, we offer a comprehensive benefits package. This starts with a generous relocation allowance to ensure a smooth transition to Abu Dhabi. It includes a competitive salary; housing and transportation allowances; educational assistance for your dependents attending school in the UAE; and access to health and wellness services. Click here for more information on benefits for you and your family</p>
<p><b>
About NYU Abu Dhabi</b><br>
https://nyuad.nyu.edu/en/</p>
<p>
NYU Abu Dhabi is the first comprehensive liberal arts and research campus in the Middle East to be operated abroad by a major American research university. Times Higher Education ranks NYU among the top 30 universities in the world, making NYU Abu Dhabi the highest-ranked university in the UAE and MENA region. NYU Abu Dhabi has integrated a highly selective undergraduate curriculum across the disciplines with a world center for advanced research and scholarship. The university enables its students in the sciences, engineering, social sciences, humanities, and arts to succeed in an increasingly interdependent world and advance cooperation and progress on humanity&rsquo;s shared challenges. NYU Abu Dhabi&rsquo;s high-achieving students have come from over 120 countries and speak over 100 languages. Together, NYU's campuses in New York, Abu Dhabi, and Shanghai form the backbone of a unique global university, giving faculty and students opportunities to experience varied learning environments and immersion in other cultures at one or more of the numerous study-abroad sites NYU maintains on six continents.</p>
<p>
NYUAD is committed to upholding a culture of non-discrimination, anti-harassment, dignity, and mutual respect; providing equal access and opportunity; and fostering academic excellence in learning, research, and teaching.</p>
<p></p>
<p>UAE Nationals are encouraged to apply</p></div></div></div></div></div>

Junior Research Scientist in the Division of Social Science (Data Science) - Dr. Bedoor AlShebli

Inception

<div>
 <strong>
  Overview
  <br/>
  <br/>
 </strong>
 Inception is seeking a highly proficient and accomplished Applied Scientist, with a proven track record, to develop efficient deep-learning and generative AI algorithms and conceive innovative AI-centric models. This role offers a unique opportunity to work closely with our product development teams, applying emerging technologies across a diverse range of applications.
 <br/>
 <br/>
 The opportunity
 <br/>
 <br/>
 Join a fast-paced, future-driven company and become part of a dynamic, forward-thinking team with the most extensive AI service repository and a mission to establish itself as the premier AI Platform-as-a-Service for businesses and developers alike.
 <br/>
 <br/>
 Inception is the UAE&rsquo;s national-scale enabler in AI Research and Development. Partnering with Microsoft's AI SaaS, we offer domain-specific Agentic AI Orchestrator platforms utilizing reasoning agents for precise and cost-effective services. Our focus includes AI incubation, IP creation, applied AI R&amp;D, and AI investment products. By creating models tailored to specific domains and languages, we ensure superior accuracy and efficiency. Collaborating with top universities and industry giants to drive significant advancements in AI technology within the region.
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 Your key responsibilities
 <br/>
 <br/>
 In the Applied Scientist role you will play a crucial part in pioneering research and development across various facets of AI, including but not limited to computer vision, natural language processing, and audio signal processing. Your work will involve the creation and optimization of cutting-edge AI algorithms and deep learning models, contributing to advancements in areas such as semantic understanding, multidimensional data interpretation, and human-machine interactions. Furthermore, your innovative efforts will be applied to a spectrum of practical use cases, serving pivotal industries such as finance, oil and gas, environmental science, and healthcare, thereby driving forward the frontier of impactful AI solutions in real-world scenarios.
 <br/>
 <br/>
 <ul>
  <li>
   Engage in the design, analysis and optimization of foundational and applied research to power the state-of-the-art AI algorithms and model capabilities at Inception. This will involve staying well-informed of emerging trends, understanding and manipulating complex datasets, and conceptualizing models that are both innovative and applicable to real-world scenarios.
  </li>
  <li>
   Work on comprehensive solutions that integrate various modalities, including text, audio, and visual data, enhancing the AI's ability to understand and interpret human interaction in a more nuanced manner.
  </li>
  <li>
   Collaborate with researchers and engineers across teams at Inception for the design, development, and continual improvement of AI algorithms, ensuring the implementations of such algorithms are optimized for efficiency, reliability, and scalability.
  </li>
  <li>
   Work alongside product development teams to integrate new algorithms and models into broader product offerings, and conduct proofs of concept (POC) as per client needs, ensuring that these innovations translate into tangible benefits for users and stakeholders.
  </li>
  <li>
   Propose scenarios where AI techniques could improve the efficiency of the customer&rsquo;s business.
  </li>
  <li>
   Provide pre-sales and post-sales technical support to the business development team.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 Skills and attributes for success
 <br/>
 <br/>
 The criteria for your success would include cost savings achieved, number of use cases investigated &amp; datasets mined, number of innovations/POCs deployed, number of existing processes optimized, and customer NPS.
 <br/>
 <br/>
 To qualify, you must have
 <br/>
 <br/>
 <ul>
  <li>
   M.Sc. or Ph.D. degree in computer science, engineering, or AI-related field. Specialization in Computer Vision, Natural Language Processing or Speech and Audio are highly desirable.
  </li>
  <li>
   Minimum 6 years of experience in developing AI algorithms for various modalities
  </li>
  <li>
   Track record of conducting high-level research, preferably evidenced by publications in peer-reviewed journals or a history of product-driven research and development.
   <br/>
   <br/>
  </li>
 </ul>
 Ideally, you&rsquo;ll also need
 <br/>
 <br/>
 <ul>
  <li>
   A highly curious and inquisitive approach to problem-solving
  </li>
  <li>
   In-depth knowledge of the latest developments in AI and machine learning
  </li>
  <li>
   Excellent communication skills
   <br/>
   <br/>
  </li>
 </ul>
 What we look for
 <br/>
 <br/>
 If you are a performance-driven, inquisitive mind with the agility to adapt to ambiguity, you will fit right in. You should be eager to explore opportunities to build meaningful collaborations with stakeholders and aspire to create unique customer-centric solutions. Bias for action and a passion to conquer new frontiers in the AI space is at the heart of the Inception community.
 <br/>
 <br/>
 What working at Inception offers
 <br/>
 <br/>
 Culture: An open, diverse and inclusive environment with a global vision that encourages personal growth and focuses on ground-breaking, industry-first innovations.
 <br/>
 <br/>
 Career: Outstanding learning, development &amp; growth opportunities via structured training programs and innovative, high-tech projects.
 <br/>
 <br/>
 Work-Life: A hybrid work policy to strike the perfect balance between office and home.
 <br/>
 <br/>
 Rewards: A competitive remuneration package with a host of perks including healthcare, education support, leave benefits and more.
 <br/>
 <br/>
 If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible.
</div>


Applied Scientist

Al Etihad Payments

<div>
 <p>
  <strong>
   Senior Data Scientist
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <em>
    |
   </em>
   About the role
  </strong>
 </p>
 <p>
  We are seeking a highly skilled and experienced Senior Data Scientist with expertise in Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) techniques. The ideal candidate will have a strong background in data science, machine learning, and natural language processing (NLP). Proficiency in Arabic is optional but will be considered a significant advantage.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   |What You&rsquo;ll Do
  </strong>
 </p>
 <ul>
  <li>
   <strong>
    Development and Deployment:
   </strong>
  </li>
  <li>
   Design, develop, and deploy large-scale language models and RAG systems to solve complex problems.
  </li>
  <li>
   Optimize and fine-tune models to improve performance and accuracy for various applications.
  </li>
  <li>
   <strong>
    Research and Innovation:
   </strong>
  </li>
  <li>
   Conduct research to advance the state-of-the-art in language models and retrieval-augmented generation.
  </li>
  <li>
   Stay updated with the latest advancements in NLP, machine learning, and artificial intelligence.
  </li>
  <li>
   <strong>
    Data Analysis and Processing:
   </strong>
  </li>
  <li>
   Collect, preprocess, and analyze large datasets to support model training and evaluation.
  </li>
  <li>
   Implement robust data pipelines to ensure efficient data flow and processing.
  </li>
  <li>
   <strong>
    Model Evaluation and Improvement:
   </strong>
  </li>
  <li>
   Evaluate model performance using appropriate metrics and methodologies.
  </li>
  <li>
   Identify areas for improvement and implement strategies to enhance model effectiveness.
  </li>
  <li>
   <strong>
    Collaboration and Mentorship:
   </strong>
  </li>
  <li>
   Collaborate with cross-functional teams including engineers, product managers, and researchers.
  </li>
  <li>
   Mentor and guide junior data scientists and machine learning engineers.
  </li>
  <li>
   <strong>
    Documentation and Reporting:
   </strong>
  </li>
  <li>
   Document methodologies, experiments, and results comprehensively.
  </li>
  <li>
   Prepare and present reports and findings to stakeholders and team members.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   |Minimum Qualifications
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   <strong>
    Education:
   </strong>
  </li>
  <li>
   Master&rsquo;s or Ph.D. in Computer Science, Data Science, Machine Learning, or a related field.
  </li>
  <li>
   <strong>
    Experience:
   </strong>
  </li>
  <li>
   Minimum of 2 years of experience in LLM and Gen. AI
  </li>
  <li>
   Minimum of 5 years of experience in data science and machine learning.
  </li>
  <li>
   Proven experience working with large language models (e.g., GPT, BERT) and RAG systems.
  </li>
  <li>
   Experience with natural language processing and understanding tasks.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   |Skills &amp; Competencies
  </strong>
 </p>
 <ul>
  <li>
   <strong>
    Technical Skills:
   </strong>
  </li>
  <li>
   Proficiency in programming languages such as Python, and familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch).
  </li>
  <li>
   Strong understanding of machine learning algorithms, deep learning, and statistical methods.
  </li>
  <li>
   Experience with data visualization tools and techniques.
  </li>
  <li>
   Familiarity with cloud platforms and services (e.g., AWS, GCP, Azure).
  </li>
  <li>
   <strong>
    Optional Skills:
   </strong>
  </li>
  <li>
   Proficiency in Arabic language (reading, writing, speaking) is a plus.
  </li>
  <li>
   <strong>
    Soft Skills:
   </strong>
  </li>
  <li>
   Excellent problem-solving skills and attention to detail.
  </li>
  <li>
   Strong communication and collaboration abilities.
  </li>
  <li>
   Ability to work independently and in a team-oriented environment.
  </li>
  <li>
   Continuous learning mindset and a passion for innovation.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   |Working Conditions
  </strong>
 </p>
 <ul>
  <li>
   Full-time position; hybrid/remote options as per company policy.
  </li>
 </ul>
 <p>
 </p>
</div>


Senior Data Scientist - Takamul

Explore 191+ Research scientist in The Division Of Science Chemistry Dr Ali Trabolsi Jobs In Abu Dhabi this September. Find roles across top companies and apply now to boost your career.

191 research scientist jobs IN The Division Of Science Chemistry Dr Ali Trabolsi Jobs In Abu Dhabi

Associate Research Scientist in the Division of Science (Physics) - Dr. Fernando Quevedo

Research Scientist in the Division of Science (Chemistry) - Dr. Ali Trabolsi

Research Scientist in the Division of Science (Chemistry) - Dr. Ali Trabolsi

Junior Research Scientist in the Division of Social Science (Data Science) - Dr. Bedoor AlShebli

Applied Scientist

Senior Data Scientist - Takamul

Applied Scientist