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New York University Abu Dhabi

<div>
 The laboratory of Dr. Djellel Difallah in the Division of Science, New York University Abu Dhabi, seeks a Post-Doctoral Associate or a Associate Research Scientist to join a lab focused on applied machine learning.
 
 
 The successful applicant will participate in research involving human computation, knowledge discovery, machine learning, and data science. The position will provide the opportunity to develop applied research skills in machine learning, interact with an international network of collaborators, and gain post-doctoral research experience.
 
 
 
 Skills
 
 
 
 The ideal candidate is self-motivated and can work independently, has a passion for AI and its applications, and is willing to learn new technologies. The candidate should have a PhD in Computer Science or a closely related field. Relevant background and skills include:
 
 
 <ul>
 <li>
 Strong foundation in one of the following areas: Machine Learning / Information Retrieval / Knowledge Graph Representation / Recommender Systems
 </li>
 <li>
 Graph Theory/Network Science
 </li>
 <li>
 Python, and up-to-date machine learning libraries
 </li>
 <li>
 Excellent written and verbal communication skills
 </li>
 <li>
 Track record of publishing in top tier conferences
 
 
 </li>
 </ul>
 For consideration, applicants need to submit a cover letter, curriculum vitae, list of publications (if applicable), a 1-page statement of research interests, and three letters of reference. If you have any questions, please email: djellel@nyu.edu
 
 
 
 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&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.
 
 
 EOE/AA/Minorities/Females/Vet/Disabled/Sexual Orientation/Gender Identity Employer
 
 
 UAE Nationals are encouraged to apply.
 
 
 
 Equal Employment Opportunity Statement
 
 
 
 
 For people in the EU, click here for information on your privacy rights under GDPR: www.nyu.edu/it/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 at nyu.edu/sustainability
</div>

Associate Research Scientist/ Post-Doctoral Associate in the Division of Science (Computer Science) - Dr. Djellel Difallah

<div>
 The Center for Technology, Economics, and Development (CTED) at New York University Abu Dhabi (NYUAD) invites applications from individuals to be appointed as a Junior Research Scientist (AI-Blockchain Project) for a one-year period, with the possibility of renewal conditional on excellent performance.
 
 
 The Junior Research Scientist (AI-Blockchain Research) will support advanced, quantitatively intensive research at CTED with a primary focus on artificial intelligence, machine learning, mathematical modeling, and computational analysis. The Junior Research Scientist will play a central role in supporting research design, algorithmic development, data analysis, and coding tasks across CTED&rsquo;s interdisciplinary projects. Working under the direction of the Principal Investigator (PI), Dr. Yaw Nyarko, and Co-Principal Investigator (Co-PI), Dr. Ra&scaron;a Karapand&zcaron;a, the Junior Research Scientist will contribute to AI-driven and blockchain-enabled research related to commodities markets and economic development. The role requires strong foundations in mathematics and computer science, including statistical learning, optimization, simulation, and algorithmic reasoning. The successful candidate will use programming and computational tools (including Python, MATLAB, and related libraries) to develop, test, and evaluate machine learning models; review, proofread, and execute formal mathematical proofs; implement optimization and simulation-based methods; and analyze large and complex datasets. Responsibilities include supporting experimental and field-based research, preparing literature reviews, translating complex AI and mathematical findings into clear written outputs, and contributing to research reports, concept notes, and academic publications.
 
 
 Candidates must hold a Master&rsquo;s degree in Computer Science, Data Science, Mathematics or a related field (e.g., Economics with a strong mathematics background). and have less than five years of relevant research experience; or hold a Bachelor&rsquo;s degree in a relevant field with any level of research experience. Applicants must have extensive coding experience, and preferably, applicants will have experience conducting field research in emerging countries and working on randomized controlled trials (RCTs). Applicants with experience working in programming languages such as Python, JavaScript, and/or MATLAB, a strong interest in economic and quantitative research and the willingness to learn about the blockchain, are encouraged to apply. Experience in web development, blockchain, commodities markets, and technology and economic development will be considered a plus. The successful candidate will work in a multidisciplinary environment, working autonomously, but as a team member under the direction of the Principal Investigator.
 
 
 The terms of employment are very competitive. Applications will be accepted immediately, and candidates will be considered until the position is filled. For consideration, applicants need to submit a cover letter, curriculum vitae/resume, transcript of degree, and one academic writing sample, and 2 contact references, all in PDF format. If you have any questions, please email amp330@nyu.edu.
 
 
 NYUAD is an equal-opportunity employer. We welcome applications from all qualified candidates and seek individuals who will contribute to the excellence and vibrancy of our academic community.
 
 
 Applications are welcome from all qualified candidates. In line with UAE regulations, Emirati candidates are encouraged to apply.
 
 
 
 About NYU Abu Dhabi
 
 
 
 https://nyuad.nyu.edu/en/
 
 
 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.
 
 
 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.
 
 
 Students are drawn from among the world&rsquo;s best. They are bright, intellectually passionate, and committed to building a campus environment anchored in mutual respect, understanding, and care. The NYUAD undergraduate student body has garnered an impressive record of scholarships, graduate-school admissions, and other global honors. Graduate education is an area of growth for the University; the current graduate student population of over 100 students is expected to expand in the next decade as doctoral programs are developed.
 
 
 Working for NYUAD
 
 
 At NYUAD, we recognize that Abu Dhabi is more than where you work; it&rsquo;s your home. In order for faculty/academic staff to thrive, we offer a comprehensive benefits package. This starts with a generous relocation allowance; educational assistance for your dependents; access to health and wellness services; and more. NYUAD is committed to faculty/academic staff success throughout the academic trajectory, providing support for ambitious and world-class research projects and innovative, interactive teaching approaches. Support for dual-career families is a priority. Visit our website for more information on benefits for you and your dependents.
 
 
 Join NYU Abu Dhabi, an exceptional place for exceptional people.
 
 
 NYUAD values belonging and respect; such principles are fundamental to the university&rsquo;s commitment to excellence. NYUAD is an equal-opportunity employer. We welcome applications from all qualified candidates and seek individuals who will contribute to our vibrant, multidisciplinary research and teaching community. Multidisciplinary research and exceptional teaching in a global campus community are hallmarks of the University&rsquo;s mission.
 
 
 
 Equal Employment Opportunity Statement
 
 
 
 
 For people in the EU, click here for information on your privacy rights under GDPR: www.nyu.edu/it/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 at nyu.edu/sustainability
</div>

Junior Research Scientist in the Division of Social Science (CTED) - Dr. Yaw Nyarko

Inception

<div>
 
 Overview
 
 
 
 Inception is seeking a highly proficient and accomplished Sr. 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.
 
 
 The opportunity
 
 
 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.
 
 
 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.
 
 
 
 Responsibilities
 
 
 
 In the Sr. 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.
 
 
 <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.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 To qualify, you must have:
 
 
 <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 8 years of experience in developing AI algorithms for various modalities
 </li>
 <li>
 Hands on expertise designing and implementing GenAI solutions on Azure
 </li>
 <li>
 Knowledge on Agentic AI designs and protocols (MCP, A2A, agentic orchestration)
 </li>
 <li>
 Hands on experience with python for prototyping and implementing GenAI solutions
 </li>
 <li>
 Expertise optimizing advanced RAG architectures and designing information retrieval system
 </li>
 <li>
 Experience integrating Agentic solutions on enterprise data platforms (Fabric, Snowflake, Databricks..)
 </li>
 <li>
 Understanding on the latest Agentic and RAG research and innovation areas
 </li>
 <li>
 Azure Certifications (AI-900, AI-102, DP-100, AZ-305..)
 </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.
 
 
 </li>
 </ul>
 Ideally, you&rsquo;ll also need
 
 
 A highly curious and inquisitive approach to problem-solving
 
 
 In-depth knowledge of the latest developments in AI and machine learning
 
 
 What we look for
 
 
 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.
 
 
 What working at Inception offers
 
 
 Culture: An open, diverse and inclusive environment with a global vision that encourages personal growth and focuses on ground-breaking, industry-first innovations.
 
 
 Career: Outstanding learning, development &amp; growth opportunities via structured training programs and innovative, high-tech projects.
 
 
 Work-Life: A hybrid work policy to strike the perfect balance between office and home.
 
 
 Rewards: A competitive remuneration package with a host of perks including healthcare, education support, leave benefits and more.
 
 
 If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible.
</div>

Senior Applied Scientist

Analog

<div>
 
 Overview
 
 
 
 Analog is a catalyst for change across various industries - from global enterprises to the public sector, from healthcare to ecology. Analog's approach to AI ensures that technological advancements are not just about efficiency and convenience, but about enriching human experiences and fostering a more connected and mixed world. Analog is not just building technology; we are crafting a world where technology is an invisible yet indispensable part of our lives. Join us on our journey as we work to build solutions that will empower people to stop living behind the digital world and start remembering how to live in our rainbow-filled analog world.
 
 
 
 Role
 
 
 
 The Speech &amp; Language Scientist is a specialized role that focuses on advancing the understanding and application of speech and language technologies. This role bridges research and development, enabling cutting-edge innovations in areas such as automatic speech recognition (ASR), natural language understanding (NLU), speech synthesis (TTS), and conversational AI.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Conduct cutting-edge research in speech and audio technologies, including areas such as speech recognition, speech synthesis, audio enhancement, speaker identification, and spatial audio
 </li>
 <li>
 Research, model, design, develop and test novel audio and speech processing algorithms using machine learning, signal processing, and computer vision
 </li>
 <li>
 Collaborate with cross-functional teams (e.g., software engineers, product managers, and designers) to implement research into real-world applications.
 </li>
 <li>
 Improve accuracy of models/algorithms to solve problems encountered during the model/algorithm implementation. Coordinate various teams to solve these problems in an efficient, and effective way.
 </li>
 <li>
 Propose scenarios where AI techniques could improve the efficiency of target clients&rsquo; businesses.
 </li>
 <li>
 Invent, analyze, design, develop and optimize algorithms and models in AUDIO areas such as Speech Recognition, Text to Speech, Speaker Recognition, etc.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Ph.D. in Computer Science, Electrical Engineering, or a related field with a focus on speech and audio processing, or equivalent practical experience.
 </li>
 <li>
 Proven track record of research in speech or audio processing, demonstrated by publications in peer- reviewed journals or conferences.
 </li>
 <li>
 Expertise in machine learning frameworks (e.g., PyTorch, TensorFlow) and proficiency in programming languages like Python, C++, or similar.
 </li>
 <li>
 Strong knowledge of signal processing techniques and deep learning models for speech and audio tasks.
 </li>
 <li>
 Experience working with large-scale datasets and distributed computing systems.
 </li>
 <li>
 Proven track record of research in speech or audio processing, demonstrated by publications in peer- reviewed journals or conferences such as CVPR, ECCV, NIPS, ICASSP, InterSpeech etc
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience with real-time audio systems or applications in AR/VR, accessibility, or social interaction platforms.
 </li>
 <li>
 Familiarity with techniques for multilingual or low-resource speech recognition.
 </li>
 <li>
 Background in self-supervised or unsupervised learning for speech/audio representation.
 </li>
 <li>
 Knowledge of privacy-preserving techniques in audio data processing.
 </li>
 <li>
 Experience mentoring junior researchers or managing collaborative projects.
 
 
 </li>
 </ul>
 
 What Working At Analog Offers
 
 
 
 <ul>
 <li>
 Culture: A collaborative, globally minded team building the future of physical intelligence. We value curiosity, courage, and creativity, and we&rsquo;re united by a belief that technology should amplify human potential rather than replace it.
 </li>
 <li>
 Impact: The opportunity to work on projects with national and global significance, from adaptive cities and resilient infrastructure to next generation sports, entertainment, healthcare, and energy. Every product you help build contributes to shaping a safer, smarter, more human centered world.
 </li>
 <li>
 Growth: Outstanding opportunities for learning and career development. You&rsquo;ll collaborate with leaders across AI, robotics, mixed reality, and systems engineering, while working on industry first, frontier scale solutions.
 </li>
 <li>
 Rewards: A competitive compensation package with healthcare, education support, and generous leave benefits, reflecting the high value we place on our people and their families.
 </li>
 </ul>
</div>

Senior Scientist - Speech and Language

<div>
 The Center of Astrophysics and Space Science, New York University Abu Dhabi, seeks to recruit a Junior Research Scientist to work with the Mars Research Group to support scientific investigations of the Martian atmosphere and surface using data from the Emirates Mars Mission (EMM) &ldquo;Hope&rdquo; probe. The position contributes to ongoing research, data analysis, simulation efforts, and dissemination of scientific results from Hope observations. The funding for this position is provided by the UAE Space Agency. Applicants with additional questions about the role or the associated research project may contact the Principal Investigator Dr. Dimitra Atri (atri@nyu.edu).
 
 
 The successful applicant will;
 
 
 <ul>
 <li>
 Analyze Emirates Mars Mission (Hope) data: Conduct detailed analysis of atmospheric and surface observations collected by the UAE&rsquo;s Hope probe to support scientific goals of understanding Martian atmospheric and surface processes.
 </li>
 <li>
 Assist with analysis of additional Mars mission datasets: Examine and interpret complementary data from other Mars missions to strengthen current models and provide comparative insights that enhance research conclusions from Hope observations.
 </li>
 <li>
 Develop Machine Learning methods and run numerical simulations on NYUAD&rsquo;s High-Performance Computing (HPC) system.
 </li>
 <li>
 Support preparation of scientific manuscripts and presentations: Assist in drafting reports, papers, and conference materials to communicate research findings to the global scientific community.
 
 
 </li>
 </ul>
 A candidate with a Master&rsquo;s degree is preferred; however, the minimum requirement is a Bachelor&rsquo;s degree in physics, computer science, or a related discipline.
 
 
 The role requires strong programming skills in Python, competency in data analysis and scientific computing, and the ability to work with large datasets. Familiarity with machine learning and planetary science concepts is highly beneficial.
 
 
 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, all in PDF format. Please visit our website at http://nyuad.nyu.edu/en/about/careers/faculty-positions.html for instructions and information on how to apply.
 
 
 
 About NYU Abu Dhabi
 
 
 
 https://nyuad.nyu.edu/en/
 
 
 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.
 
 
 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.
 
 
 UAE Nationals are encouraged to apply.
 
 
 
 Equal Employment Opportunity Statement
 
 
 
 
 For people in the EU, click here for information on your privacy rights under GDPR: www.nyu.edu/it/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 at nyu.edu/sustainability
</div>

Junior Research Scientist in the Center for AstroPhysics and Space Science – Dr. Dimitra Atri

<div>
 The Smart Materials Lab (Pan&ccaron;e Naumov Group) at the Division of Science and Mathematics, New York University Abu Dhabi, seeks to recruit a highly motivated associate research scientist candidate in the areas of Artificial Intelligence (AI) for materials science, with an emphasis on structure-property-relationships, materials optimization, materials under extreme conditions, and generative AI.
 
 
 Candidates must possess substantial experience in artificial intelligence and machine learning methods, specifically in AI-driven materials discovery, machine learning applications for materials, or generative AI related to materials. The successful candidate will independently lead a project focused on developing generative AI models to establish structure-property relationships for materials discovery. This individual will be expected to collaborate closely with the project team and coordinate efforts with experimentalists from the Smart Materials Lab (SML) and the Center for Smart Engineering Materials (CSEM) at NYUAD. The results of this work are anticipated to be published in peer-reviewed journals and presented at prominent conferences. We offer unique opportunities for cross-disciplinary collaborations, organization of scientific workshops, and attendance at conferences.
 
 
 Key qualifications include a PhD with at least 3 years in a relevant field, expertise in AI/ML (e.g., PyTorch, TensorFlow, Python), interest in materials applications, and a strong publication record. The position is for two years, with the possibility of renewal, subject to mutual agreement. The successful candidate is also expected to play an active role in other projects and activities within the Smart Materials Lab and assist in supervising undergraduate or PhD students.
 
 
 To apply, submit a cover letter, a curriculum vitae that includes a complete publication list, a statement of research interests, a transcript, and three letters of reference, all in PDF format. For any inquiries, please contact Dr. Pan&ccaron;e Naumov (pance.naumov@nyu.edu).
 
 
 The terms of employment are very competitive and include housing and educational subsidies for children. Applications are being accepted immediately, and candidates will be considered until the position is filled.
 
 
 
 About NYU Abu Dhabi
 
 
 
 https://nyuad.nyu.edu/en/
 
 
 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.
 
 
 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.
 
 
 Students are drawn from among the world&rsquo;s best. They are bright, intellectually passionate, and committed to building a campus environment anchored in mutual respect, understanding, and care. The NYUAD undergraduate student body has garnered an impressive record of scholarships, graduate-school admissions, and other global honors. Graduate education is an area of growth for the University; the current graduate student population of over 100 students is expected to expand in the next decade as doctoral programs are developed.
 
 
 
 Working for NYUAD
 
 
 
 At NYUAD, we recognize that Abu Dhabi is more than where you work; it&rsquo;s your home. In order for research staff to thrive, we offer a comprehensive benefits package. This starts with a generous relocation allowance; educational assistance for your dependents; access to health and wellness services; and more. NYUAD is committed to research staff success throughout the academic trajectory, providing support for ambitious and world-class research projects and innovative, interactive teaching approaches. Support for dual-career families is a priority. Visit our website for more information on benefits for you and your dependents.
 
 
 NYUAD is an equal-opportunity employer. We welcome applications from all qualified candidates and seek individuals who will contribute to the excellence and vibrancy of our academic community.
 
 
 Applications are welcome from all qualified candidates. In line with UAE regulations, Emirati candidates are encouraged to apply.
 
 
 
 Join NYU Abu Dhabi, an exceptional place for exceptional people.
 
 
 
 NYUAD values belonging and respect; such principles are fundamental to the university&rsquo;s commitment to excellence. NYUAD is an equal-opportunity employer. We welcome applications from all qualified candidates and seek individuals who will contribute to our vibrant, multidisciplinary research and teaching community. Multidisciplinary research and exceptional teaching in a global campus community are hallmarks of the University&rsquo;s mission.
 
 
 @WorkAtNYUAD
 
 
 
 Equal Employment Opportunity Statement
 
 
 
 
 For people in the EU, click here for information on your privacy rights under GDPR: www.nyu.edu/it/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 at nyu.edu/sustainability
</div>

Associate Research Scientist in the Division of Science (Mathematics - AI) - Dr. Panče Naumov

Quantum One

<div>
 
 About Us
 
 
 Quantum One is a leading AI solutions provider in the UAE. Our firm was founded by professionals from McKinsey &amp; Company and BCG. We focus on integrating advanced AI capabilities with strategic business insight to deliver measurable impact across multiple sectors, including energy, utilities, logistics, and industrial enterprises.
 
 
 We are looking for a highly skilled and motivated
 
 Senior Data Scientist (LLM &amp; Agentic Systems)
 
 to join our Abu Dhabi team. This role offers the opportunity to design and deploy production-grade GenAI and agentic systems for mission-critical projects with the UAE&rsquo;s largest organizations. Relocation assistance is available.
 
 
 Our Offer &amp; Your Growth
 
 
 We are committed to investing in our talent. Quantum One provides a competitive compensation package and a clear career progression path with opportunities for rapid advancement into Lead, Principal, or AI Architect roles.
 
 
 You will work on high-impact enterprise AI systems, contribute to reusable internal frameworks, and help shape the next generation of agentic AI capabilities within the organization.
 
 
 Core Responsibilities
 
 
 As a Senior Data Scientist (LLM &amp; Agentic Systems), you will be instrumental in the execution and delivery of advanced AI systems across the following areas:
 
 
 
 Strategic Implementation:
 
 Design and implement Large Language Model&ndash;based solutions that solve complex business and operational challenges for major UAE organizations.
 
 
 
 Agentic System Development:
 
 Architect and build multi-step LLM agents integrating reasoning, planning, memory, and tool usage. Develop Retrieval-Augmented Generation (RAG) pipelines that combine unstructured and structured enterprise data.
 
 
 
 Enterprise Product Development:
 
 Design, develop, and deploy production-grade AI copilots and autonomous agents from concept through to scalable production environments.
 
 
 
 Technical Excellence:
 
 Ensure robustness, scalability, observability, and governance of deployed LLM systems, following enterprise-grade engineering standards.
 
 
 
 Collaboration &amp; Leadership:
 
 Work closely with Data Engineers, DevOps, and client stakeholders. Contribute to architectural decisions and mentor mid-level team members.
 
 
 Required Qualifications
 
 
 We are seeking a candidate who meets the following criteria and is prepared to excel in a high-performance environment.
 
 
 
 Experience:
 
 Minimum 5 years of professional experience in Data Science or Applied Machine Learning, with at least 2 years of hands-on experience building and deploying LLM-based systems.
 
 
 
 Language Proficiency:
 
 Fluent English is mandatory for effective communication with international teams and enterprise clients.
 
 
 
 Technical Foundation:
 
 Demonstrated expertise across the following core stack:
 
 
 
 
 
 Python (advanced level)
 
 
 Git and CI/CD workflows
 
 
 Docker and Kubernetes
 
 
 Postgres or similar RDBMS / NoSQL databases
 
 
 Experience with at least one major Cloud Platform (Azure, AWS, or GCP)
 
 
 Machine Learning &amp; LLM Expertise
 
 
 Co
 
 re Data Science Stack:
 
 
 
 
 
 
 Pandas, NumPy, scikit-learn
 
 
 Experience with gradient boosting frameworks (CatBoost, LightGBM)
 
 
 Model interpretation tools (e.g., SHAP)
 
 
 Data visualization (Matplotlib, Seaborn)
 
 
 
 Large Language Models &amp; Agentic Systems (Mandatory):
 
 
 
 
 
 
 Practical experience with Retrieval-Augmented Generation (RAG)
 
 
 Embedding pipelines and vector databases
 
 
 Agent orchestration frameworks (LangChain, LlamaIndex, or equivalent)
 
 
 Tool/function-calling architectures
 
 
 Structured output handling (JSON schemas, validation layers)
 
 
 Evaluation and monitoring of LLM systems
 
 
 Mod
 
 els &amp; Ecosystems:
 
 
 
 
 
 
 
 O
 
 penAI / Azure OpenAI
 
 
 Hugging Face ecosystem
 
 
 Open-source models such as Llama, Qwen, or Mistral
 
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Senior Data Scientist (LLM)

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