associate research scientist/ post-doctoral associate in the division of science (computer science) - dr. djellel difallah

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associate research scientist/ post-doctoral associate in the division of science (computer science) - dr. djellel difallah Jobs in Abu Dhabi

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senior applied scientist

machine learning researcher

Moreton Capital Partners

<div><h3 class="jobSectionHeader"><b>Quant Researcher &ndash; Systematic Commodities Hedge Fund</b></h3><p>
Moreton Capital Partners is seeking a talented Quant Researcher to help build the next generation of alpha signals in commodity futures. Our research is grounded in advanced machine learning, robust testing frameworks, and a deep understanding of global commodity markets.</p><p>
This role is central to our mission: you&rsquo;ll take ownership of designing, testing, and refining predictive models that directly feed into live trading portfolios.</p><p></p><h3 class="jobSectionHeader"><b>
Key Responsibilities</b></h3><ul>
<li>Research, prototype, and validate systematic trading signals across commodities using advanced ML methods.</li>
<li>Design and implement rigorous backtests with realistic frictions, walk-forward validation, and robust statistical tests.</li>
<li>Engineer and evaluate novel features from prices, fundamentals, positioning, options data, and alternative datasets (e.g., satellite, weather and global commodity cash pricing).</li>
<li>Blend multiple alpha forecasts into meta-models and portfolio signals, leveraging ensemble and Bayesian methods.</li>
<li>Develop portfolio construction and optimization techniques and analysis tools to be able to enhance performance and track effects on portfolio execution.</li>
<li>Collaborate with developers to transition research into production-ready strategies.</li>
<li>Monitor live performance, attribution, and model drift, ensuring continual improvement of the alpha library.</li>
</ul><p><b>Requirements</b></p><ul><li>
Masters or PhD in either Statistics, Economics, Computer Science.</li></ul><ul>
<li>Strong background in machine learning and statistical modelling (tree-based models, regularization, time-series ML).</li>
<li>Proficiency in Python (pandas, NumPy, scikit-learn, XGboost, PyTorch/TensorFlow).</li>
<li>Understanding of time-series forecasting, cross-validation techniques, and avoiding look-ahead bias.</li>
<li>Academic experience in research and proven ability to translate academic work to production code.</li>
<li>Prior exposure to systematic trading or financial modelling.</li>
<li>Ability to design experiments, interpret results, and iterate quickly in a research environment.</li>
</ul><p></p><p><b>Bonus points for:</b></p><ul>
<li>Knowledge of commodities (agriculture, energy, metals) or macro markets.</li>
<li>Experience with feature engineering on non-traditional datasets (options positioning, weather, satellite).</li>
<li>Experience collaborating in version control environments.</li>
<li>Familiarity with portfolio optimization, risk parity, or Bayesian model averaging.</li>
<li>Publications, Kaggle competitions, or research track record demonstrating applied ML excellence.</li>
</ul><p><b>Benefits</b></p><ul>
<li>
Direct impact: Your alphas will go live into production portfolios, with real capital behind them.</li>
<li>Research-first culture: We value deep thinking, novel approaches, and systematic rigor.</li>
<li>Close collaboration across a global team.</li>
<li>Career growth: Clear trajectory to senior researcher roles as we scale AUM and expand product lines.</li>
<li>Attractive compensation: Highly competitive base salary and annual bonus that scales as the business grows.</li>
<li>Positive, inclusive and encouraging work environment.</li></ul></div>

Quant Researcher - Systematic Commodities Hedge Fund

New York University Abu Dhabi

<div>
 The laboratory of Dr. Djellel Difallah in the Division of Science, New York University Abu Dhabi, seeks a Post-Doctoral Associate or a Associate Research Scientist to join a lab focused on applied machine learning.
 <br/>
 <br/>
 The successful applicant will participate in research involving human computation, knowledge discovery, machine learning, and data science. The position will provide the opportunity to develop applied research skills in machine learning, interact with an international network of collaborators, and gain post-doctoral research experience.
 <br/>
 <br/>
 <strong>
  Skills
  <br/>
  <br/>
 </strong>
 The ideal candidate is self-motivated and can work independently, has a passion for AI and its applications, and is willing to learn new technologies. The candidate should have a PhD in Computer Science or a closely related field. Relevant background and skills include:
 <br/>
 <br/>
 <ul>
  <li>
   Strong foundation in one of the following areas: Machine Learning / Information Retrieval / Knowledge Graph Representation / Recommender Systems
  </li>
  <li>
   Graph Theory/Network Science
  </li>
  <li>
   Python, and up-to-date machine learning libraries
  </li>
  <li>
   Excellent written and verbal communication skills
  </li>
  <li>
   Track record of publishing in top tier conferences
   <br/>
   <br/>
  </li>
 </ul>
 For consideration, applicants need to submit a cover letter, curriculum vitae, list of publications (if applicable), a 1-page statement of research interests, and three letters of reference. If you have any questions, please email: djellel@nyu.edu
 <br/>
 <br/>
 <strong>
  About NYUAD
  <br/>
  <br/>
 </strong>
 NYU Abu Dhabi is a degree-granting research university with a fully integrated liberal arts and science undergraduate program in the Arts, Sciences, Social Sciences, Humanities, and Engineering. NYU Abu Dhabi, NYU New York, and NYU Shanghai, form the backbone of NYU&rsquo;s global network university, an interconnected network of portal campuses and academic centers across six continents that enable seamless international mobility of students and faculty in their pursuit of academic and scholarly activity. This global university represents a transformative shift in higher education, one in which the intellectual and creative endeavors of academia are shaped and examined through an international and multicultural perspective. As a major intellectual hub at the crossroads of the Arab world, NYUAD serves as a center for scholarly thought, advanced research, knowledge creation, and sharing, through its academic, research, and creative activities.
 <br/>
 <br/>
 EOE/AA/Minorities/Females/Vet/Disabled/Sexual Orientation/Gender Identity Employer
 <br/>
 <br/>
 UAE Nationals are encouraged to apply.
 <br/>
 <br/>
 <strong>
  Equal Employment Opportunity Statement
  <br/>
  <br/>
 </strong>
 <strong>
  For people in the EU, click here for information on your privacy rights under GDPR: www.nyu.edu/it/gdpr
  <br/>
  <br/>
 </strong>
 NYU is an Equal Opportunity Employer and is committed to a policy of equal treatment and opportunity in every aspect of its recruitment and hiring process without regard to age, alienage, caregiver status, childbirth, citizenship status, color, creed, disability, domestic violence victim status, ethnicity, familial status, gender and/or gender identity or expression, marital status, military status, national origin, parental status, partnership status, predisposing genetic characteristics, pregnancy, race, religion, reproductive health decision making, sex, sexual orientation, unemployment status, veteran status, or any other legally protected basis. All interested persons are encouraged to apply for vacant positions at all levels.
 <br/>
 <br/>
 <strong>
  Sustainability Statement
  <br/>
  <br/>
 </strong>
 NYU aims to be among the greenest urban campuses in the country and carbon neutral by 2040. Learn more at nyu.edu/sustainability
</div>


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

<div>
 The Center for Technology, Economics, and Development (CTED) at New York University Abu Dhabi (NYUAD) invites applications from individuals to be appointed as a Junior Research Scientist (AI-Blockchain Project) for a one-year period, with the possibility of renewal conditional on excellent performance.
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 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.
 <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/>
 <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/>
 Working for NYUAD
 <br/>
 <br/>
 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.
 <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/>
 <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 Social Science (CTED) - Dr. Yaw Nyarko

New York University

<div></div><div><div><div><div><div><div>New York University: NYU - Global: Abu Dhabi: AD_Science: AD_Computer Science: AD_Research
</div></div></div><div><div><h3 class="jobSectionHeader"><b>Location
</b></h3><div>Abu Dhabi, UAE
</div></div><div><h3 class="jobSectionHeader"><b>Open Date
</b></h3><div>Feb 19, 2026
</div></div></div><div><div><h3 class="jobSectionHeader"><b>Description
</b></h3><div><div><p>The Deep Learning laboratory in the Division of Science, New York University Abu Dhabi, seeks to recruit a research assistant to work on Deep Reinforcement Learning (DRL). The successful applicants will lead the labs efforts in action-less design, continual learning, planning with world models, and contrastive RL. Our laboratory has expertise in deep learning, including deep reinforcement learning, large language models, and the theory of deep learning. The candidate will develop DRL algorithms for online and off-line tasks, for robotic applications and possibly for LLM reasoning applications in the future. The work will involve designing algorithms, running experiments on the HPC, analyzing the results and improving the algorithms. It will also involve extensive literature reviews.</p>
<p>
Applicants must have an undergraduate degree in computer science, have significant experience with deep learning with PyTorch, and have expertise in reinforcement learning. The applicant should have already completed several major projects in DRL. The applicant should also possess excellent mathematical and English skills. 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.</p>
<p>
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. If you have any questions, please contact Dr. Keith Ross: keithwross@nyu.edu</p>
<p><b>
About NYU Abu Dhabi</b><br>
https://nyuad.nyu.edu/en/<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.</p>
<p>
NYUAD is committed to upholding a culture of non-discrimination, anti-harassment, dignity, and mutual respect; providing equal access and opportunity; and fostering academic excellence in learning, research, and teaching.</p>
<p>
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.</p>
<p><b>
Working for NYUAD</b><br>
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.</p>
<p>
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.</p>
<p>
Applications are welcome from all qualified candidates. In line with UAE regulations, Emirati candidates are encouraged to apply.</p>
<p><b>
Join NYU Abu Dhabi, an exceptional place for exceptional people.</b></p>
<p>
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.</p>
<p>
@WorkAtNYUAD</p></div>
</div>
</div></div></div><div><div><div><h3 class="jobSectionHeader"><b>Application Process
</b></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><p></p>

Junior Research Scientist in the Division of Science (Computer Science) - Dr. Keith Ross

<div><h3 class="jobSectionHeader"><b>Quant Developer &ndash; Systematic Commodities Hedge Fund</b></h3><p>
Moreton Capital Partners is seeking a talented Quant Developer to join our team at the ground floor of an ambitious build. We are launching live trading across global commodity futures, supported by an investment process rooted in machine learning.<br>
<br>
This is a unique opportunity to work directly with the global team, owning infrastructure that takes research ideas to production in a fast-moving, real capital environment.</p><p></p><h3 class="jobSectionHeader"><b>
Key Responsibilities</b></h3><ul>
<li>Build and maintain data pipelines ingesting futures, options, and alternative datasets (from price data from Bloomberg and vendor feeds to unstructured data).</li>
<li>Improve backtesting framework (event-driven simulations, realistic slippage/costs, walk-forward validation, portfolio performance analysis).</li>
<li>Support research tooling: feature libraries, experiment tracking, artefact storage.</li>
<li>Machine learning cloud and local execution and optimization setup.</li>
<li>Productionize signals into the live trading stack with CI/CD, monitoring, and version control.</li>
<li>Develop dashboards and alerting for data quality, latency, and model drift.</li>
<li>Collaborate with researchers to translate hypotheses into robust, testable experiments, as well as enhance proposed process computationally.</li>
</ul><p><b>
Requirements</b></p><ul><li>
Fluency in Python and SQL; clean, testable code is a must.</li></ul><ul>
<li>Experience with data engineering (Airflow, Snowflake, pandas, polars workflows).</li>
<li>Prior exposure to systematic trading, backtesting, or market data pipelines.</li>
<li>Familiarity with cloud environments (AWS), containers (Docker), and CI/CD.</li>
<li>Self-starter with the ability to work autonomously in a lean, high-ownership environment.</li>
<li>Bachelors in CS/Comp-Eng or computationally heavy subject matter, and ideally, a minor in Finance.</li>
</ul><p></p><p><b>Bonus points for:</b></p><p></p><ul>
<li>Commodities or macro markets exposure.</li>
<li>Systematic medium term investment exposure.</li>
<li>Experience with ML Ops tools (MLflow, Weights &amp; Biases), feature stores, or model monitoring.</li>
<li>Front-end skills (TypeScript/React) to help build researcher dashboards.</li>
</ul><p><b>Benefits</b></p><ul>
<li>
Impact from day one: You&rsquo;ll be building mission-critical infrastructure for a fund that begins live trading this year for large institutional investors.</li>
<li>Direct exposure: Work alongside the CIO and senior researchers, with a direct line to decision-making.</li>
<li>Learning curve: Deep exposure to commodity markets, ML research workflows, and institutional-grade trading systems.</li>
<li>Growth trajectory: Clear path to increased scope and compensation as the fund scales with institutional AUM.</li>
<li>Attractive compensation: Highly competitive base salary and annual bonus that scales as the business grows.</li>
<li>Positive, inclusive and encouraging work environment.</li></ul></div>

Quant Developer - Systematic Commodities Hedge Fund

<div>
 As part of the Electrical Engineering program of the Engineering Division and the Center of Artificial Intelligence and Robotics at NYU Abu Dhabi the group of Prof. Kostas J. Kyriakopoulos seeks to improve the autonomy of Field Robotic systems by fusing control theoretic and machine intelligence approaches. Formal models are directly applied in real experimental facilities. Marine Robotics is our current emphasis, without excluding candidates with prior experience on Aerial or Ground Systems.
 <br/>
 <br/>
 <strong>
  Skills
  <br/>
  <br/>
 </strong>
 We are seeking a Post-Doctoral associate to join our expanding team and make significant contributions to the field. The researcher is expected to have (i) strong engineering skills to find innovative and cost-effective means to improve our research, and (ii) exemplary passion and motivation to enhance our multidisciplinary research at the intersection of control theory and machine intelligence. Methodologies of interest include:
 <br/>
 <br/>
 <ul>
  <li>
   Robot modelling,
  </li>
  <li>
   Nonlinear and Optimal control,
  </li>
  <li>
   Reinforcement learning, and
  </li>
  <li>
   Data-driven modeling and control.
   <br/>
   <br/>
  </li>
 </ul>
 The Post-Doctoral associate will be based at NYU Abu Dhabi and will directly report to Prof. K.J.Kyriakopoulos in close collaboration with other researchers, PhD students, and undergraduate research assistants. The Post-Doctoral associate will engage with our regular collaborators at local institutions in the UAE and abroad.
 <br/>
 <br/>
 Key responsibilities
 <br/>
 <br/>
 <ul>
  <li>
   Conduct high-quality and innovative research primarily focused on Control theory and ML methodologies for Field Robotics;
  </li>
  <li>
   Support the supervisor in developing and implementing the research agenda;
  </li>
  <li>
   Reproduce results of the state-of-the-art (SOTA) methods;
  </li>
  <li>
   Design and implement experiments on real platforms operating outdoors, to compare our proposed work with SOTA baselines;
  </li>
  <li>
   Contribute to the preparation of manuscripts for publication in high-impact journals and conferences;
  </li>
  <li>
   Create, maintain, and document high-quality research code for reproducibility; and
  </li>
  <li>
   Collaborate with scientists within the NYU Global Network and in Abu Dhabi.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Minimum Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Possessing a Doctoral degree from a recognized institution in Electrical, Mechanical, Naval or Aerospace Engineering. Must be still within the first 5 years since receiving a PhD.
  </li>
  <li>
   First-author peer-reviewed published papers (and/or under review)
  </li>
  <li>
   Demonstrable research experience involving integration of hardware and software of robotic systems.
  </li>
  <li>
   Demonstrable research experience in conducting experiments for field robotic systems
  </li>
  <li>
   Proficient programming experience in embedded, real-time software in C/C++ and Python with several years of practice
  </li>
  <li>
   Experience in maintaining high-quality code on Github
  </li>
  <li>
   Ability to visualize experimental results
  </li>
  <li>
   Effective inter-personal and team-building skills
  </li>
  <li>
   Self-motivated with an ability to work independently and in a team to get the work done
  </li>
  <li>
   Excellent communication skills (oral and written communication)
  </li>
  <li>
   Willingness to learn and confront new challenges
   <br/>
   <br/>
  </li>
 </ul>
 The appointment will be for two (2) years with the option to renew further depending on performance. The terms of employment are very competitive and will include housing and travel subsidies. Applications will be accepted immediately and candidates will be considered until the position is filled. This position is not located in the United States. You must be willing to relocate to Abu Dhabi, United Arab Emirates.
 <br/>
 <br/>
 To be considered, all applicants must submit a cover letter, up-to-date CV, research statement (1-page), a transcript, and at least two letters of recommendation, all in PDF format on or before July 1, 2025. If you have any questions that are not answered in the job advert, please email: kk4812@nyu.edu and include [Application for postdoctoral researcher] in the subject line.
 <br/>
 <br/>
 <strong>
  About NYUAD
  <br/>
  <br/>
 </strong>
 NYU Abu Dhabi is a degree-granting research university with a fully integrated liberal arts and science undergraduate program in the Arts, Sciences, Social Sciences, Humanities, and Engineering. NYU Abu Dhabi, NYU New York, and NYU Shanghai, form the backbone of NYU&rsquo;s global network university, an interconnected network of portal campuses and academic centers across six continents that enable seamless international mobility of students and faculty in their pursuit of academic and scholarly activity. This global university represents a transformative shift in higher education, one in which the intellectual and creative endeavors of academia are shaped and examined through an international and multicultural perspective. As a major intellectual hub at the crossroads of the Arab world, NYUAD serves as a center for scholarly thought, advanced research, knowledge creation, and sharing, through its academic, research, and creative activities.
 <br/>
 <br/>
 EOE/AA/Minorities/Females/Vet/Disabled/Sexual Orientation/Gender Identity Employer
 <br/>
 <br/>
 UAE Nationals are encouraged to apply.
 <br/>
 <br/>
 <strong>
  Equal Employment Opportunity Statement
  <br/>
  <br/>
 </strong>
 <strong>
  For people in the EU, click here for information on your privacy rights under GDPR: www.nyu.edu/it/gdpr
  <br/>
  <br/>
 </strong>
 NYU is an Equal Opportunity Employer and is committed to a policy of equal treatment and opportunity in every aspect of its recruitment and hiring process without regard to age, alienage, caregiver status, childbirth, citizenship status, color, creed, disability, domestic violence victim status, ethnicity, familial status, gender and/or gender identity or expression, marital status, military status, national origin, parental status, partnership status, predisposing genetic characteristics, pregnancy, race, religion, reproductive health decision making, sex, sexual orientation, unemployment status, veteran status, or any other legally protected basis. All interested persons are encouraged to apply for vacant positions at all levels.
 <br/>
 <br/>
 <strong>
  Sustainability Statement
  <br/>
  <br/>
 </strong>
 NYU aims to be among the greenest urban campuses in the country and carbon neutral by 2040. Learn more at nyu.edu/sustainability
</div>


Post-Doctoral Associates in the Division of Engineering - Dr. Kostas J. Kyriakopoulos

Explore 295+ Machine learning researcher in Abu Dhabi this March. Find roles across top companies and apply now to boost your career.

295 machine learning researcher jobs In Abu Dhabi

Quant Researcher - Systematic Commodities Hedge Fund

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

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

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

Junior Research Scientist in the Division of Science (Computer Science) - Dr. Keith Ross

Quant Developer - Systematic Commodities Hedge Fund

Post-Doctoral Associates in the Division of Engineering - Dr. Kostas J. Kyriakopoulos