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applied scientist

Inception

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


Applied Scientist

<div>
 <strong>
  Overview
  <br/>
  <br/>
 </strong>
 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.
 <br/>
 <br/>
 The opportunity
 <br/>
 <br/>
 Join a fast-paced, future-driven company and become part of a dynamic, forward-thinking team with the most extensive AI service repository and a mission to establish itself as the premier AI Platform-as-a-Service for businesses and developers alike.
 <br/>
 <br/>
 Inception is the UAE&rsquo;s national-scale enabler in AI Research and Development. Partnering with Microsoft's AI SaaS, we offer domain-specific Agentic AI Orchestrator platforms utilizing reasoning agents for precise and cost-effective services. Our focus includes AI incubation, IP creation, applied AI R&amp;D, and AI investment products. By creating models tailored to specific domains and languages, we ensure superior accuracy and efficiency. Collaborating with top universities and industry giants to drive significant advancements in AI technology within the region.
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 Your key responsibilities
 <br/>
 <br/>
 In the 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.
 <br/>
 <br/>
 <ul>
  <li>
   Engage in the design, analysis and optimization of foundational and applied research to power the state-of-the-art AI algorithms and model capabilities at Inception. This will involve staying well-informed of emerging trends, understanding and manipulating complex datasets, and conceptualizing models that are both innovative and applicable to real-world scenarios.
  </li>
  <li>
   Work on comprehensive solutions that integrate various modalities, including text, audio, and visual data, enhancing the AI's ability to understand and interpret human interaction in a more nuanced manner.
  </li>
  <li>
   Collaborate with researchers and engineers across teams at Inception for the design, development, and continual improvement of AI algorithms, ensuring the implementations of such algorithms are optimized for efficiency, reliability, and scalability.
  </li>
  <li>
   Work alongside product development teams to integrate new algorithms and models into broader product offerings, and conduct proofs of concept (POC) as per client needs, ensuring that these innovations translate into tangible benefits for users and stakeholders.
  </li>
  <li>
   Propose scenarios where AI techniques could improve the efficiency of the customer&rsquo;s business.
  </li>
  <li>
   Provide pre-sales and post-sales technical support to the business development team.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 Skills and attributes for success
 <br/>
 <br/>
 The criteria for your success would include cost savings achieved, number of use cases investigated &amp; datasets mined, number of innovations/POCs deployed, number of existing processes optimized, and customer NPS.
 <br/>
 <br/>
 To qualify, you must have
 <br/>
 <br/>
 <ul>
  <li>
   M.Sc. or Ph.D. degree in computer science, engineering, or AI-related field. Specialization in Computer Vision, Natural Language Processing or Speech and Audio are highly desirable.
  </li>
  <li>
   Minimum 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.
   <br/>
   <br/>
  </li>
 </ul>
 Ideally, you&rsquo;ll also need
 <br/>
 <br/>
 <ul>
  <li>
   A highly curious and inquisitive approach to problem-solving
  </li>
  <li>
   In-depth knowledge of the latest developments in AI and machine learning
  </li>
  <li>
   Excellent communication skills
   <br/>
   <br/>
  </li>
 </ul>
 What we look for
 <br/>
 <br/>
 If you are a performance-driven, inquisitive mind with the agility to adapt to ambiguity, you will fit right in. You should be eager to explore opportunities to build meaningful collaborations with stakeholders and aspire to create unique customer-centric solutions. Bias for action and a passion to conquer new frontiers in the AI space is at the heart of the Inception community.
 <br/>
 <br/>
 What working at Inception offers
 <br/>
 <br/>
 Culture: An open, diverse and inclusive environment with a global vision that encourages personal growth and focuses on ground-breaking, industry-first innovations.
 <br/>
 <br/>
 Career: Outstanding learning, development &amp; growth opportunities via structured training programs and innovative, high-tech projects.
 <br/>
 <br/>
 Work-Life: A hybrid work policy to strike the perfect balance between office and home.
 <br/>
 <br/>
 Rewards: A competitive remuneration package with a host of perks including healthcare, education support, leave benefits and more.
 <br/>
 <br/>
 If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible.
</div>


Senior Applied Scientist

New York University Abu Dhabi

<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.
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 <strong>
  About NYU Abu Dhabi
  <br/>
  <br/>
 </strong>
 https://nyuad.nyu.edu/en/
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 <strong>
  Working for NYUAD
  <br/>
  <br/>
 </strong>
 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.
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 Applications are welcome from all qualified candidates. In line with UAE regulations, Emirati candidates are encouraged to apply.
 <br/>
 <br/>
 Join NYU Abu Dhabi, an exceptional place for exceptional people.
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 @WorkAtNYUAD
 <br/>
 <br/>
 <strong>
  Equal Employment Opportunity Statement
  <br/>
  <br/>
 </strong>
 <strong>
  For people in the EU, click here for information on your privacy rights under GDPR: www.nyu.edu/it/gdpr
  <br/>
  <br/>
 </strong>
 NYU is an Equal Opportunity Employer and is committed to a policy of equal treatment and opportunity in every aspect of its recruitment and hiring process without regard to age, alienage, caregiver status, childbirth, citizenship status, color, creed, disability, domestic violence victim status, ethnicity, familial status, gender and/or gender identity or expression, marital status, military status, national origin, parental status, partnership status, predisposing genetic characteristics, pregnancy, race, religion, reproductive health decision making, sex, sexual orientation, unemployment status, veteran status, or any other legally protected basis. All interested persons are encouraged to apply for vacant positions at all levels.
 <br/>
 <br/>
 <strong>
  Sustainability Statement
  <br/>
  <br/>
 </strong>
 NYU aims to be among the greenest urban campuses in the country and carbon neutral by 2040. Learn more at nyu.edu/sustainability
</div>


Associate Research Scientist in the Division of Science (Biology) - Dr. John Burt

<div>
 Mubadala Arabian Center for Climate and Environmental Sciences (ACCESS) at New York University Abu Dhabi, seeks to recruit an Associate Research Scientist to investigate the molecular and genomic mechanisms underpinning the extraordinary heat tolerance of Arabian Gulf corals, the most thermally resilient corals on Earth.
 <br/>
 <br/>
 The successful candidate will lead an ambitious research program focused on understanding how individual corals and populations vary in their responses to heat stress. This work will involve the application of genomic and gene expression profiling, as well as eco-physiological assays, to reveal the mechanistic basis of thermal resilience. The position is uniquely placed to bridge fundamental molecular research with applied conservation through close collaboration with another postdoctoral researcher who is leading a selective breeding program for heat-tolerant corals. Together, these efforts will support the development of robust coral populations capable of withstanding intensifying climate-related stressors.
 <br/>
 <br/>
 Applicants must hold a PhD in biological sciences, molecular ecology, genetics, or a related field, completed by January 2024. They must also possess advanced SCUBA certification with demonstrated research-diving experience, as well as strong proficiency in molecular biology, genetics, bioinformatics, and statistical analysis. Experience conducting coral heat-stress assays and a record of first-author publications relevant to the field are essential. Preferred qualifications include a driver&rsquo;s license in the applicant&rsquo;s home country, boat-operator certification, and scientific diver credentials such as AAUS certification. Additional assets include experience with other omics approaches or epigenetics, advanced coding skills in R or Python, and prior supervisory experience with students or research staff.
 <br/>
 <br/>
 For consideration, applicants need to submit a cover letter, curriculum vitae with full publication list, transcript, statement of research interests and three letters of reference, all in PDF format. If you have any questions, please email Kelly Bradham at kelly.bradham@nyu.edu.
 <br/>
 <br/>
 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. If you have any questions, please email: mrasras@nyu.edu.
 <br/>
 <br/>
 <strong>
  About NYU Abu Dhabi
  <br/>
  <br/>
 </strong>
 https://nyuad.nyu.edu/en/
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 UAE Nationals are encouraged to apply.
 <br/>
 <br/>
 <strong>
  Equal Employment Opportunity Statement
  <br/>
  <br/>
 </strong>
 <strong>
  For people in the EU, click here for information on your privacy rights under GDPR: www.nyu.edu/it/gdpr
  <br/>
  <br/>
 </strong>
 NYU is an Equal Opportunity Employer and is committed to a policy of equal treatment and opportunity in every aspect of its recruitment and hiring process without regard to age, alienage, caregiver status, childbirth, citizenship status, color, creed, disability, domestic violence victim status, ethnicity, familial status, gender and/or gender identity or expression, marital status, military status, national origin, parental status, partnership status, predisposing genetic characteristics, pregnancy, race, religion, reproductive health decision making, sex, sexual orientation, unemployment status, veteran status, or any other legally protected basis. All interested persons are encouraged to apply for vacant positions at all levels.
 <br/>
 <br/>
 <strong>
  Sustainability Statement
  <br/>
  <br/>
 </strong>
 NYU aims to be among the greenest urban campuses in the country and carbon neutral by 2040. Learn more at nyu.edu/sustainability
</div>


Associate Research Scientist in Mubadala Arabian Center for Climate and Environmental Sciences – Dr. John Burt

<div>
 The Prof. Sunil Kumar&rsquo;s Research Group in the Division of Engineering, New York University Abu Dhabi, seeks to recruit a junior research scientist to develop AI-enabled healthcare applications.
 <br/>
 <br/>
 <strong>
  Key Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Develop and fine-tune computer-vision models, instance segmentation, and retrieval-based estimation from images and text metadata.
  </li>
  <li>
   Build and evaluate monocular depth pipelines and implement multimodal retrieval with re-rankers for robust profile selection.
  </li>
  <li>
   Design and train advanced AI models for digital twin: 3D model learning, prediction models from imaging and molecular data, model-based simulation coupling, and uncertainty-aware outputs for lab/clinical validation.
  </li>
  <li>
   Work with 3D datasets, time-series sensors, and multi-omics or assay data to create predictive models and digital twin prototypes.
  </li>
  <li>
   Maintain reproducible code, experiments, and model/ dataset versioning; develop deployment artifacts (Docker, CI/CD scripts) and support cloud/HPC model training.
  </li>
  <li>
   Plan, run and analyze pilot studies (SME pilots and lab validation); participate in data collection, annotation and lab assay coordination.
  </li>
  <li>
   Write up results and contribute to publications, technical reports and presentations for academic and non-academic stakeholders.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Minimum Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor&rsquo;s or Master&rsquo;s degree in computer science, electrical/computer engineering, applied mathematics, computational biology, bioengineering, or a closely related discipline.
  </li>
  <li>
   Solid experience training and evaluating AI models.
  </li>
  <li>
   Proficiency in Python and ML frameworks (PyTorch, TensorFlow).
  </li>
  <li>
   Experience with dataset curation, annotation workflows, FAISS/embedding retrieval, LLM-based parsing, RAG-style pipeline, and GPU/HPC training.
  </li>
  <li>
   Familiarity with 3D data processing or willingness to learn quickly.
  </li>
  <li>
   Publications, thesis work, or demonstrable projects in computer vision, multi-modal ML, digital twins or biomedical ML.
  </li>
  <li>
   Familiarity with uncertainty quantification and model explainability methods.
  </li>
  <li>
   Strong software engineering practices: Git, reproducible experiments, modular code, deploying models in cloud (AWS/GCP) and containerized services (Docker, Kubernetes).
  </li>
  <li>
   Good written and verbal communication skills and ability to work collaboratively across interdisciplinary teams.
   <br/>
   <br/>
  </li>
 </ul>
 For consideration, applicants need to submit a cover letter, curriculum vitae with full publication list statement of research interests, transcript and three letters of reference, all in PDF format. If you have any questions, please email Prof. Prabodh Panindre at prabodh@nyu.edu.
 <br/>
 <br/>
 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. Please visit our website at https://nyuad.nyu.edu/en/about/careers/postdoctoral-and-research.html for instructions and information on how to apply.
 <br/>
 <br/>
 <strong>
  About NYU Abu Dhabi
  <br/>
  <br/>
 </strong>
 https://nyuad.nyu.edu/en/
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 UAE Nationals are encouraged to apply.
 <br/>
 <br/>
 <strong>
  Equal Employment Opportunity Statement
  <br/>
  <br/>
 </strong>
 <strong>
  For people in the EU, click here for information on your privacy rights under GDPR: www.nyu.edu/it/gdpr
  <br/>
  <br/>
 </strong>
 NYU is an Equal Opportunity Employer and is committed to a policy of equal treatment and opportunity in every aspect of its recruitment and hiring process without regard to age, alienage, caregiver status, childbirth, citizenship status, color, creed, disability, domestic violence victim status, ethnicity, familial status, gender and/or gender identity or expression, marital status, military status, national origin, parental status, partnership status, predisposing genetic characteristics, pregnancy, race, religion, reproductive health decision making, sex, sexual orientation, unemployment status, veteran status, or any other legally protected basis. All interested persons are encouraged to apply for vacant positions at all levels.
 <br/>
 <br/>
 <strong>
  Sustainability Statement
  <br/>
  <br/>
 </strong>
 NYU aims to be among the greenest urban campuses in the country and carbon neutral by 2040. Learn more at nyu.edu/sustainability
</div>


Junior Research Scientist in the Division of Engineering - Drs. Sunil Kumar and Prabodh Panindre

Charterhouse Middle East

<div>
 <p>
  <strong>
   Market Leading Salary, Plus Family Benefits/Perks, Plus Bonus
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  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.
 </p>
 <p>
  <br/>
 </p>
 <p>
  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.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Our client is looking for ideal candidate with the following qualifications:
  </strong>
 </p>
 <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>
 <p>
  <br/>
 </p>
 <p>
  <em>
   *Please note this role offers relocation assistance for talented candidates based outside the region*
  </em>
 </p>
</div>


Senior AI Scientist

University of Sharjah

<div></div><div><div><div><div>CATEGORY </div><div>Faculty Members College of Arts, Humanities and Social Sciences</div>
</div><br>
<div><div>College </div><div>Arts, Humanities and Social Sciences
</div></div><br>
<div><div>Department </div><div>Foreign Languages</div>
</div><br>
<div><div>Job Purpose
</div><div><p>The Department of Foreign Languages at the University of Sharjah invites applications for a full-time Assistant Professor of Applied Linguistics with significant experience teaching at Undergraduate level and a growing research profile appropriate to their career stage.<br>
<br>
</p></div></div><br>
<div><div>Main accountabilities &amp; expectations
</div><div><p>The successful candidate will be expected to :
</p><ul><li>Teach undergraduate courses in applied linguistics, EAP, ESP, and communicative English.</li><li>
Produce high quality research consistent with the level of appointment.</li>
Fulfil such administrative duties as the department chair or other university authorities appoint to them.<br>
<li>
</li></ul></div></div><br>
<p></p><div><div>Required Skills
</div><div><div><ul><li>The successful candidate should have a PhD in Linguistics and Translation and specialize in one or more of the following areas of research and teaching: AI in teaching, comparative semantics, multimodality, translation and technology, historical linguistics.</li><li>
They will also be able to teach English for Academic Purposes and ESP, and to coordinate multi-section courses.</li>
Ability to teach English for Academic Purposes and ESP is essential.<br>
<li>
</li></ul></div></div></div><br>
<p></p><div><div>Desirable Requirements
</div><div><div><div><ul><li>Experience coordinating multi-section courses would be an advantage.</li></ul>
<ul><li>Additional certification (esp. CELTA or use of AI in Education) would be an advantage.
</li></ul>Further specialism in one or more of the following areas is desirable: multimodality, comparative semantics, translation and technology, or related applied linguistics fields.<br>
<ul><li>
</li></ul></div></div></div></div><br>
<p></p><div><div>Job Location </div><div>University of Sharjah (Main)
</div></div><br>
<div><div>Job Criteria
</div><div><div><div><div><div>Gender</div> <div>, Male, Female,
</div></div><br>
<div><div>Qualifications</div> <div>Phd</div>
</div><br>
<div><div>Relevant Experience </div><div>2</div>
</div><br>
<div><div>Living In UAE</div> <div>Open for all</div>
</div><br>
<div><div>Nationality</div> <div>, All,</div></div></div></div></div></div></div></div>

Assistant Professor of Applied Linguistics

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