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senior 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

Charterhouse Middle East

<div>
 
 
 Market Leading Salary, Plus Family Benefits/Perks, Plus Bonus
 
 
 
 
 
 
 Charterhouse is partnered with a global family office seeking to strengthen its Investment Technology Division. This division is responsible for developing analytical platforms, data-driven tools, and technology-enabled capabilities that support investment teams, operational functions, and enterprise wide strategic decision making. With a remit that spans across Data Science, Engineering, Quantitative Research, and Product Development, the division plays a pivotal role in evolving the organisation&rsquo;s digital and analytical landscape. This current opening is for a Senior AI Scientist who will be a key contributor to the organisation&rsquo;s data and product initiatives.
 
 
 
 
 
 The Senior AI Scientist will help lead data driven initiatives, guiding the design and execution of data workflows that meet strategic business objectives. The role focuses on providing technical leadership across data analysis, developing resilient pipelines for model training, tracking model performance, and managing data platforms. The role will have strong expertise in leveraging LLMs and applying prompt engineering techniques to elevate insights and improve model outcomes.
 
 
 
 
 
 
 Our client is looking for ideal candidate with the following qualifications:
 
 
 <ul>
 <li>
 Master&rsquo;s or Ph.D. in Data Science, Computer Science, Statistics, or a closely related discipline.
 </li>
 <li>
 Experience working with LLM technologies, including pre-training, supervised fine-tuning (SFT), reinforcement learning (RL), and agent-based frameworks.
 </li>
 <li>
 Solid understanding of natural language processing (NLP) methods and algorithms.
 </li>
 <li>
 Industry experience in sectors such as healthcare, finance, or e‑commerce is an advantage.
 </li>
 <li>
 Contributions to open‑source projects, academic research, or relevant publications that showcase technical expertise and thought leadership are highly regarded.
 </li>
 <li>
 Hands‑on experience fine‑tuning and deploying LLMs, with an emphasis on optimizing models for specific applications.
 </li>
 <li>
 Proficiency with AI development frameworks such as PyTorch, DeepSpeed, and Hugging Face Transformers.
 </li>
 <li>
 Strong capabilities in prompt engineering and enhancing LLM performance through algorithmic improvements.
 </li>
 <li>
 Proven problem‑solving skills, particularly in applying LLMs to real‑world use cases.
 </li>
 <li>
 Ability to excel in a collaborative, fast‑moving environment and deliver meaningful AI-driven outcomes.
 </li>
 <li>
 Excellent English communication skills are essential.
 </li>
 </ul>
 
 
 
 
 
 *Please note this role offers relocation assistance for talented candidates based outside the region*
 
 
</div>

Senior AI Scientist

Presight

<div>
 
 Senior Data Scientist &ndash; Large Language Models | Abu Dhabi, UAE
 
 
 
 
 
 Position Overview
 
 
 We are seeking a Senior Data Scientist with strong expertise in large language models (LLMs), agentic workflows, and applied machine learning. This role involves leading the design, training, and deployment of next-generation AI solutions that power intelligent agents, natural language interfaces, and knowledge-driven applications across domains. You will collaborate with cross-functional teams to deliver scalable, high-performance AI systems that unlock value from unstructured and structured data.
 
 
 Key Responsibilities
 
 <ul>
 <li>
 Design, build, and optimize LLM-based solutions for tasks such as text understanding, summarization, semantic search, dialogue systems, and reasoning.
 </li>
 <li>
 Develop and orchestrate agentic workflows, integrating LLMs with tools, APIs, and data pipelines for autonomous task execution.
 </li>
 <li>
 Fine-tune and align LLMs on domain-specific datasets, leveraging techniques such as RLHF, prompt engineering, retrieval-augmented generation (RAG), and knowledge grounding.
 </li>
 <li>
 Architect multi-modal AI pipelines combining LLMs with computer vision, knowledge graphs, and structured data.
 </li>
 <li>
 Ensure scalability, efficiency, and reliability of deployed models on cloud and edge environments.
 </li>
 <li>
 Stay updated with the latest research in GenAI, agents, and applied AI, translating findings into innovative product features.
 </li>
 <li>
 Collaborate with software engineers, data engineers, and product managers to integrate AI models into production systems.
 </li>
 <li>
 Document methodologies, publish internal best practices, and present findings to stakeholders.
 </li>
 </ul>
 
 Requirements
 
 
 Qualifications
 
 
 &bull; Master&rsquo;s or Ph.D. in Computer Science, Data Science, Machine Learning, Applied Mathematics, or related field.
 
 
 &bull; Advanced research and practical experience with large-scale machine learning models.
 
 
 &bull; 5+ years of hands-on experience in AI, machine learning, or intelligent agent system development.
 
 
 
 
 
 Experience
 
 
 &bull; Proven experience in developing and deploying LLM-powered solutions.
 
 
 &bull; Strong background in natural language processing (NLP), applied machine learning, and GenAI projects.
 
 
 &bull; Experience with orchestration frameworks (LangChain, LlamaIndex, Haystack, or equivalent).
 
 
 Skills
 
 <ul>
 <li>
 Proficiency in Python and ML frameworks (TensorFlow or PyTorch, Hugging Face).
 </li>
 <li>
 Hands-on with LLM fine-tuning, evaluation, and optimization.
 </li>
 <li>
 Knowledge of RAG pipelines, embeddings, and vector databases (e.g., FAISS, Pinecone, Milvus).
 </li>
 <li>
 Familiarity with agentic architectures and workflow automation frameworks.
 </li>
 <li>
 Familiarity with backend frameworks (e.g., FastAPI), containerization (Docker), and databases (PostgreSQL, Redis).
 </li>
 <li>
 Strong analytical, problem-solving, and research skills.
 </li>
 <li>
 Excellent communication skills to explain technical concepts to diverse audiences.
 </li>
 <li>
 Ability to thrive in fast-paced, collaborative environments.
 </li>
 </ul>
 
 Preferred
 
 <ul>
 <li>
 Experience with multi-agent systems, autonomous reasoning, and planning frameworks.
 </li>
 <li>
 Experience with vector databases (FAISS, Pinecone, Milvus) and orchestration frameworks (LangChain, LlamaIndex, Haystack).
 </li>
 <li>
 Knowledge of Model Context Protocol (MCP) and reasoning models is a plus.
 </li>
 <li>
 Familiarity with responsible AI, bias mitigation, and data privacy in LLM systems.
 </li>
 <li>
 Knowledge of real-time applications (e.g., chatbots, copilots, AI agents). Knowledge of AI coding tools (Cursor, Claude code, OpenAI Codex, github copilot
 </li>
 </ul>
</div>

Senior Data Scientist

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
 
 
 
 Your key 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
 
 
 
 Skills and attributes for success
 
 
 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.
 
 
 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>
 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
 
 
 <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
 
 
 </li>
 </ul>
 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

New York University Abu Dhabi

<div>
 The Center for Brain and Health (CBH) at New York University Abu Dhabi (NYUAD) seeks to recruit a Junior Research Scientist to support innovative clinical and translational research on brain health and disease in diverse populations within the UAE and wider MENA region.
 
 
 The successful applicant will play a central role in the day-to-day execution of human-subjects research studies, working within a multidisciplinary team of faculty investigators, research assistants, clinicians, and students. The position involves coordinating clinical and observational research protocols that integrate advanced neuroimaging, neuromonitoring, and behavioural methods, with a strong emphasis on regulatory compliance, participant safety, and high-quality data collection.
 
 
 Key responsibilities include coordinating participant recruitment and workflow (pre-screening, informed consent, scheduling, and follow-up), maintaining regulatory and ethics documentation, liaising with clinical partners and imaging facilities, and overseeing clinical aspects of MRI, EEG, and MEG sessions. The Junior Research Scientist / Clinical Coordinator will also contribute to the development of standard operating procedures, support training of research assistants and students, track study progress and recruitment metrics, and assist with grant applications, ethics submissions, and progress reporting. The role works closely with dedicated neuroimaging and research assistants who focus on technical data acquisition, imaging pipelines, and analysis, while the Clinical Coordinator leads clinical governance and participant-facing workflows.
 
 
 Applicants must hold a Bachelor&rsquo;s degree in psychology, neuroscience, biomedical sciences, nursing, or a related field; a Master&rsquo;s degree or clinical qualification (e.g., nursing, allied health, clinical psychology) is strongly preferred. Candidates should have 2&ndash;3 years of experience coordinating human-subjects research or clinical trials, ideally in neurology, psychiatry, or related areas, and demonstrated familiarity with ethical and regulatory requirements for human research. Experience working with patient populations and/or in neuroimaging or neuromodulation environments (MRI, EEG, MEG, TMS) is highly advantageous. Fluency in English is required; knowledge of Arabic or other languages spoken in the UAE is an asset.
 
 
 For consideration, applicants need to submit a cover letter, curriculum vitae with full publication list, transcript of degree, statement of research interests and three letters of reference, all in PDF format.
 
 
 If you have any questions, please email Dr. Kartik Sreenivasan at kks4@nyu.edu and Dr. Bas Rokers at br87@nyu.edu.
 
 
 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.
 
 
 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 Center for Brain and Health (CBH) – Dr. Kartik Sreenivasan and Dr. Bas Rokers

<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

<div>
 The Mubadala Arabian Center for Climate and Environmental Sciences (Mubadala ACCESS), New York University Abu Dhabi, seeks to recruit an Associate Research Scientist to support a major NYU Abu Dhabi-OceanX initiative focused on advancing coral reef monitoring, applied research and regional capacity building across Southeast Asia, with particular emphasis on Malaysia.
 
 
 The successful applicant will play a central role in coordinating and implementing a multi-year coral reef monitoring and training program across Southeast Asia. The Associate Research Scientist will contribute to the design, coordination, and delivery of annual field missions aboard the RV OceanXplorer, support the implementation of standardized reef monitoring protocols, and deliver hands-on training programs for regional partners. The position includes supporting pre and post mission workshops, strengthening stakeholder engagement, and contributing to the development of regional scientific networks.
 
 
 The Associate Research Scientist will also assist in organizing an annual Southeast Asia learning exchange hosted at NYU Abu Dhabi, supporting agenda development, training sessions in reef monitoring and data analysis, and coordination with university administrative units. A key component of the role involves contributing to the organization and management of data and metadata systems associated with Southeast Asian reef monitoring activities conducted in partnership with OceanX. The candidate will support standardized data workflows, quality control, documentation, and the development of open-access products tailored to researchers, decision-makers, NGOs, and public audiences.
 
 
 The role further includes supporting reporting, communications, and stakeholder coordination across NYUAD, OceanX, Dalio Philanthropies, and regional partners. The Associate Research Scientist will contribute to progress updates, annual reports, stakeholder briefings, and public-facing communication materials in collaboration with NYUAD and OceanX Communications teams. The position is based in Abu Dhabi, UAE, with regular travel to Southeast Asia during mission and training periods.
 
 
 Applicants must hold a PhD in Marine Biology, Marine Science, Coral Reef Ecology, or a closely related field, with at least 3 years of relevant experience in their field (not including the years obtaining the PhD or equivalent terminal degree). Candidates must have demonstrated experience in coral reef monitoring programs in Southeast Asia, ideally in Malaysia, and hold SCUBA certification at a minimum of PADI Advanced Open Water (or equivalent). Experience delivering training or capacity-building programs, engaging with regional partners or government agencies, and contributing to peer-reviewed publications is required. Fluency in English is essential, and fluency in Malay/Bahasa Melayu is considered a strong asset. Preferred qualifications include advanced diving certification, training in ecological monitoring protocols, and experience with GIS, data management platforms, or applied reef assessment frameworks.
 
 
 For consideration, applicants need to submit a cover letter, curriculum vitae with full publication list, statement of research interests, a transcript or degree, and three letters of reference, all in PDF format. If you have any questions, please email Kelly Bradham at Kelly.bradham@nyu.edu.
 
 
 
 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
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Associate Research Scientist in the Division of Science (Biology) - Dr. John Burt

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