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associate research scientist

New York University

<div></div><div><div><div><div><div><div>New York University: NYU - Global: Abu Dhabi: AD_Science
</div></div></div><div><div><h3 class="jobSectionHeader">Location
</h3><div>Abu Dhabi, UAE
</div></div><div><h3 class="jobSectionHeader">Open Date
</h3><div>Oct 30, 2025
</div></div></div><div><div><h3 class="jobSectionHeader">Description
</h3><div><div>The RNA Modifications, Intellect, and NeuroDegeneration (RNA-MIND) Laboratory at New York University Abu Dhabi seeks to recruit an Associate Research Scientist to join our laboratory focused on stem cell biology, neuroscience, and molecular mechanisms of human disease.

The successful candidate will work with human cell lines, embryonic stem cells, and iPSCs, including their generation, characterization, and differentiation into cortical neurons and brain organoids. Experience with organoid culture, cryo-sectioning, microscopy, and MEA functional assays is highly desirable.

Expertise in CRISPR-Cas9 genome editing (knockout and correction) and in NGS workflows&mdash;such as ChIP-seq, RNA-seq, miRNA-seq, single-cell RNA-seq preparation, and CUT&amp;RUN&mdash;is strongly valued. Strong grounding in molecular biology techniques (Western blot, Northern blot, immunostaining, PCR/RT-qPCR, cloning, RNA work) is expected. The candidate will work in a multidisciplinary environment that includes collaboration with fellow post-doctoral associates, senior and junior scientists, and undergraduate students. They will also benefit from the support of established Core Bioinformatics and Sequencing Platforms and High-Performance Computing facilities.

Applicants for the Associate Research Scientist position must hold a PhD degree or equivalent terminal degree with at least 3 years of relevant experience in the stem cell and neuroscience fields (not including the years obtaining the PhD or equivalent terminal degree). Strong interpersonal and organizational skills are essential for working in a highly collaborative environment.

The terms of employment are very competitive and include housing, health insurance, and transportation allowances. 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, resume, statement of past research activities, transcript and contact information for at least two references, all in pdf format. If you have any questions, please email ohtan.wang@nyu.edu (Dan Ohtan Wang, laboratory PI).

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.</div>
</div>
</div></div></div><div><div><div><h3 class="jobSectionHeader">Application Process
</h3><div>This institution is using Interfolio's Faculty Search to conduct this search. Applicants to this position receive a free Dossier account and can send all application materials, including confidential letters of recommendation, free of charge.</div></div></div></div></div></div>

Associate Research Scientist in the Division of Science (Biology) - Dr. Dan Ohtan Wang

New York University Abu Dhabi

<div>
 The Center for Astrophysics and Space Science (CASS) at NYUAD is looking to appoint new independent fellows working in one (or more) of the following center's research fields
 
 
 <ul>
 <li>
 Extrasolar Planets
 </li>
 <li>
 Galactic Astrophysics (including compact objects)
 </li>
 <li>
 Extragalactic Astrophysics and Cosmology
 </li>
 <li>
 Astroparticle Physics (Dark Matter searches, gamma-ray spectroscopy, gravitational waves)
 
 
 </li>
 </ul>
 The center currently consists of eight faculty members and more than 25 researchers and PhD students.
 
 
 The Center possesses the unique possibility to investigate fundamental questions in astrophysics, astroparticle physics, and planetary physics from several points of view, with the expertise of its members ranging from collecting and analyzing state-of-the-art data on the nature of the visible and invisible matter in the Universe, to detailed theoretical and numerical studies from planets to galaxies, and linking them together cohesively.
 
 
 We expect successful applicants to work towards improving the collaborations and connections among the different areas. We invite applicants to visit our website to learn more about current research projects at CASS.
 
 
 The center fellows will have access to a 70,000-core Infiniband Cluster (Jubail) dedicated to the science division, several GPU-based clusters at NYUAD, and other supercomputer facilities through the CASS network. NYUAD also has guaranteed observing time on the Green Bank Telescope, the Very Long Baseline Array, and Las Cumbres Observatory, and is a participant in SDSS-V.
 
 
 Applicants should have a PhD in astronomy, astrophysics, physics, or a closely related field. The appointment will be for an initial period of two years with a likely extension to a total of three years. CASS fellows will have
 
 dedicated funds
 
 for traveling, computing, publications, etc.
 
 
 The preferred starting date is Fall of 2026.
 
 
 Applicants need to submit a cover letter, curriculum vitae, publication list, and a brief (ideally 2-3 pages) statement of research interests, transcript and three letters of recommendation.
 
 Applicants are strongly encouraged to outline in their research statement how they plan to help create connections between the different research areas of the CASS
 
 .
 
 
 Applications received before November 30, 2025, will receive full consideration, positions will stay open until filled. If you have any questions, please e-mail Prof. Andrea V. Macci&ograve; (Center director) maccio@nyu.edu
 
 
 The terms of employment include a very competitive salary, housing allowance, medical insurance, educational subsidies for children, and other benefits. Please note that the UAE does not levy income tax.
 
 
 
 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.
 
 
 
 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>

Post-Doctoral Associate/ Associate Research Scientist in the Center for Astrophysics and Space Science

<div>
 We are inviting applications for a Postdoctoral Associate in the Division of Social Science at NYU Abu Dhabi from individuals who have or will soon receive a PhD in sociology, social psychology, computational social science, computer science, information science, data science, or a closely related field. The appointment will begin September 1, 2026, subject to final budget approval and is available for up to three years.
 
 
 The post-doctoral associate will spend half their time on independent research, and half their time on collaborative research with Professors Mario D. Molina, Minsu Park, and Blaine Robbins. The collaborative research will be large-scale analyses of digital traces (e.g., Yelp, Airbnb, Stack Exchange) and virtual lab experiments to study how ingroup favoritism and group boundaries coevolve in multiplex communities; how attribute- and opinion-based cues shape insider/outsider categorization, intergroup relations, and social cohesion; and how to design interventions that promote inclusivity, fairness, and productive discourse online.
 
 
 We seek a candidate with expertise in the following four areas: (1) working with large-scale digital trace data; (2) building and running natural language processing and machine learning workflows; (3) experimental design and causal inference (including virtual lab experiments); and/or (4) network or computational modeling. The ideal candidate will have a strong interest in applying these tools to questions of group formation, intergroup relations, and the distribution of resources on online platforms. This is an excellent position for a computational social scientist or a computer/data scientist eager to transition into the social sciences.
 
 
 The position does not require teaching, but it may be possible to get teaching experience for compensation. You would join a group of over 20 post-doctoral fellows and 70 faculty in the Division of Social Science.
 
 
 For consideration, applicants must submit a cover letter, a curriculum vitae with a complete list of publications, a statement of research interests, two letters of reference, transcript and one writing sample, all in PDF format. If you have any questions, please email the Principal Investigators: Professors Mario D. Molina (mdmolina@nyu.edu), Minsu Park (mp5500@nyu.edu), and Blaine Robbins (bgr3@nyu.edu). Applications will be reviewed on a rolling basis until the position is filled, with a preferred deadline of November 15, 2025
 
 
 
 About NYU Abu Dhabi
 
 
 
 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>

Post-Doctoral Associate in the Division of Social Science - Drs. Minsu Park, Mario Molina and Blaine Robbins

Hays

<div>
 
 
 Location:
 
 Abu Dhabi, United Arab Emirates
 
 
 
 Industry:
 
 Quantitative Research
 
 
 
 
 
 We are looking for a highly motivated and experienced
 
 Lead Data Scientist
 
 to head our data science team in Abu Dhabi.
 
 
 
 
 
 
 About the Role:
 
 
 
 As Lead Data Scientist, you will be responsible for defining and implementing advanced data science solutions, leading a team of 10 professionals. This role requires strong technical expertise, strategic leadership, and hands-on involvement in developing machine learning architectures and models.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Provide technical leadership to a team of data scientists and machine learning engineers.
 </li>
 <li>
 Design and implement data solutions for applications in BFSI, quantitative research, and asset management.
 </li>
 <li>
 Develop and optimize ML models, including LLMs and NLP pipelines, in multi-GPU environments.
 </li>
 <li>
 Define scalable and robust architectures for data processing and predictive modeling.
 </li>
 <li>
 Act as the team&rsquo;s technical reference, promoting best practices and continuous innovation.
 </li>
 <li>
 Communicate technical insights clearly to both technical and non-technical stakeholders.
 </li>
 <li>
 Collaborate with cross-functional teams to integrate data capabilities into products and workflows.
 </li>
 </ul>
 
 
 
 
 
 What We&rsquo;re Looking For:
 
 
 <ul>
 <li>
 7+ years of experience in applied data science within BFSI, quantitative research, or asset management.
 </li>
 <li>
 Proven experience in technical leadership and team management.
 </li>
 <li>
 Strong expertise in Machine Learning, LLMs, NLP, and foundational models.
 </li>
 <li>
 Hands-on experience with Python, TensorFlow, PyTorch, Scikit-learn, among others.
 </li>
 <li>
 Ability to work hands-on in complex technical environments.
 </li>
 <li>
 Excellent communication skills in English (written and verbal).
 </li>
 </ul>
 
 
 
 
 
 Academic Background:
 
 
 <ul>
 <li>
 Master&rsquo;s or PhD in relevant fields, preferably from top-tier universities (Ivy League, Oxbridge, ETH, etc.)
 </li>
 </ul>
 
 
 
 
 
 What We Offer:
 
 
 <ul>
 <li>
 Competitive, tax-free salary.
 </li>
 <li>
 Visa sponsorship (if needed).
 </li>
 <li>
 Health insurance for you and your family.
 </li>
 <li>
 Annual return ticket to your home country.
 </li>
 </ul>
 
 
</div>

Lead Data Scientist

Khazna Data Centers

<div>
 
 
 Khazna was founded in 2012 and has grown rapidly into becoming the leading and trusted wholesale Data Center provider in the Middle East and North Africa region. Through our Data Centers, we provide industry benchmark levels of power supply and cooling services to better serve the growing need for data center operations in the UAE and wider region.
 
 
 
 
 
 
 We are seeking a
 
 Data Scientist (AI/ML)
 
 to join our
 
 Command &amp; Control Center &ndash; Data Analytics &amp; Reporting
 
 team, reporting to the
 
 Manager, Data &amp; BI
 
 . This centralized role is responsible for developing AI-driven solutions, machine learning models, and advanced analytics to enhance data center operations, efficiency, and innovation. The Data Scientist will apply predictive modeling, deep learning, and other data science techniques to enable data-driven decision-making and automation across the data center ecosystem.
 
 
 
 
 
 
 Key Accountabilities:
 
 
 
 
 
 <ul>
 <li>
 In collaboration with the line manager, develop Data Center AI/ML models for predictive maintenance, anomaly detection and capacity planning, reducing downtime and optimizing resource allocation
 </li>
 <li>
 Support in simulation models to assess potential business impact, forecasting power demand, cooling efficiency and IT workload fluctuations
 </li>
 <li>
 Work with big data technologies and cloud platforms, optimizing AI model deployment across hybrid and multi-cloud architectures
 </li>
 <li>
 Optimize Data Center models for performance, scalability and interpretability, ensuring they align with real-time decision-making needs of mission-critical facilities
 </li>
 <li>
 Conduct statistical analysis and hypothesis testing, providing data-driven insights for risk assessment, asset lifecycle management and energy efficiency improvements
 </li>
 <li>
 Collaborate with Data Engineers to ensure seamless data pipeline integration, enabling real-time AI-driven monitoring and automation
 </li>
 <li>
 Support in develop anomaly detection algorithms to proactively identify deviations in data center power usage effectiveness (PUE), cooling efficiency etc.
 </li>
 <li>
 Research and implement emerging AI/ML technologies within data center, such as federated learning, reinforcement learning and generative AI, to enhance operational resilience
 </li>
 <li>
 Evaluate and improve the performance of existing AI models within data center, incorporating adaptive learning techniques to refine predictions over time
 </li>
 <li>
 Ensure AI/ML models in data center are continuously updated with live data streams, adapting to infrastructure expansions, workload shifts and market trends
 </li>
 <li>
 Extract findings from AI-driven analysis and present actionable insights to executives at Khazna and CCC leadership to inform strategic decision-making
 </li>
 <li>
 Support in defining and prioritize potential data center operational scenarios, using AI simulations to model the likelihood and impact of various facility and market dynamics
 </li>
 <li>
 Update data center models and forecasts based on real-time data, industry benchmarks and shifting internal prioritises to maintain competitive intelligence
 </li>
 <li>
 Drive automation in incident response and capacity forecasting, integrating AI insights with CAFM and orchestration tools for proactive management
 </li>
 <li>
 Ensure AI governance, model explainability and compliance with regulatory standards in data center operations, including SOC 2, ISO 27001 and Uptime Institute guidelines as recommended
 </li>
 </ul>
 
 
 
 
 
 Minimum Qualifications:
 
 
 
 
 
 <ul>
 <li>
 Master&rsquo;s or Bachelor&rsquo;s in Computer Science, AI/ML (or) Data Science
 </li>
 <li>
 Certifications in AI/ML or data science preferred (e.g., Google AI, Microsoft AI)
 </li>
 <li>
 3-5 years of experience in AI/ML model development, data science or analytics
 </li>
 <li>
 Proficiency in Python, TensorFlow or PyTorch
 </li>
 <li>
 Hands-on experience with cloud-based ML platforms (AWS SageMaker, Azure ML, Google AI)
 </li>
 <li>
 Strong background in statistical modeling, probability and data structures
 </li>
 <li>
 Experience with big data frameworks like Apache Spark or Hadoop
 </li>
 </ul>
 
 
 
 
 
 Additional Qualifications:
 
 
 
 
 
 <ul>
 <li>
 Ability to translate complex data into actionable insights for business and operational teams
 </li>
 <li>
 Expertise in explaining AI/ML concepts to non-technical leadership, ensuring alignment between data science and business strategy
 </li>
 <li>
 Work effectively across Engineering and Operations, adapting models to shifting business priorities and technological advancements
 </li>
 </ul>
 
 
 
 
 
 Trainings/Certifications Preferred:
 
 
 
 
 
 <ul>
 <li>
 Google TensorFlow Developer Certification
 </li>
 <li>
 AWS Certified Machine Learning &ndash; Specialty
 </li>
 <li>
 Microsoft Certified: Azure AI Engineer Associate
 </li>
 </ul>
 
 
</div>

Data Scientist (AI/ML)

<div>
 NYUAD Water Research Center at New York University Abu Dhabi, seeks to recruit a research scientist to work on the development of membrane desalination to treat water from the Arabian Gulf feed sources and on the design and scale-up of low energy membranes for water purification, under the supervision of Professor Nidal Hilal, Director of the Water Research Center and Global Professor of Engineering.
 
 
 The successful applicant will drive an exciting project on developing functional membrane materials, including nanostructured polymer membranes tailored to microfiltration, ultrafiltration, membrane distillation, nanofiltration and reverse osmosis. The candidate will employ advanced membrane fabrication techniques and characterization tools (SEM, TEM, DSC, TGA, BET, etc.) to establish fabrication-structure-property-performance relationships in novel materials for sustainable desalination and water treatment. The candidate will work in a multidisciplinary environment consisting of PhD-level scientists and engineers, graduate students and undergraduate students.
 
 
 The successful applicant will manage projects and work closely with postdoctoral researchers, build deep technical knowledge and develop transferable solutions. He/she will participate in developing novel concepts and writing proposals. He/she will work towards solving complex problems with efficiency and creativity. He/she will be involved in writing reports, authoring publications, drafting patents and presenting results at conferences. The successful candidate will have a demonstrated knowledge of materials science and engineering, membrane fabrication techniques, membrane characterization tools and separation processes. He/she will be detail-oriented, well-organized and will possess excellent verbal and written communication skills. The successful candidate should be able to work independently and as part of a team.
 
 
 Applicants must hold a PhD in Materials Science and Engineering, Polymer Chemistry, Chemical Engineering, or a related field, and have a minimum of five years&rsquo; experience as a Postdoctoral Research Associate. Excellent experimental and analytical skills relevant to the project (in particular membrane fabrication and characterization) are required. Candidates with demonstrated history of peer reviewed publications in a related area, along with prior expertise in materials science and analytical chemistry will be preferred.
 
 
 This position will begin in March 2026 as a two-year contract, renewable depending on performance. 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, a one-page summary of research accomplishments and interests, and at least 2 references, 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. If you have any questions, please email: nhh2@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>

Research Scientist in the Center for Water Research - Dr. Nidal Hilal

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

Explore 248+ Associate research scientist in The Division Of Science Biology Dr Dan Ohtan Wang Jobs In Abu Dhabi this November. Find roles across top companies and apply now to boost your career.