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Role: Economics Researcher (Remote) Location: Remote (Work from Anywhere) Job Type: Full-Time Payout: $400K - $800K/yr<br>Role Overview:We are hiring for one of our clients, seeking a Member of Technical Staff, Economics Research to work on a full-time basis. The role involves conducting rigorous economic analysis to inform strategic decisions and model development. The position requires applying advanced quantitative methods to solve complex problems in a fast-paced environment.<br>Key Responsibilities:• Design and implement economic models to evaluate market trends, pricing strategies, and competitive dynamics• Develop and validate statistical and econometric models using large-scale datasets• Collaborate with cross-functional teams to translate economic insights into actionable business strategies• Publish research findings in technical reports and present insights to stakeholders• Stay current with advancements in economic theory, computational methods, and industry best practices<br>Required Skills & Qualifications:• Proficiency in statistical software such as R, Python, or Stata for data analysis and modeling• Strong foundation in econometrics, time-series analysis, and quantitative research methods• Experience with large datasets and proficiency in SQL for data extraction and manipulation• Ability to interpret economic data and derive actionable insights from complex analyses• Excellent written and verbal communication skills for presenting technical findings to non-technical audiences<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Technology, Information and Internet industry, contributing to high-impact economic research that shapes business decisions. The position is fully remote, allowing for location flexibility while collaborating with a distributed team of experts.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><strong>Job Description:</strong></p><br><p>The Department of Chemical Engineering at the United Arab Emirates University (UAEU) invites applications for a full-time Postdoctoral Researcher position in the area of membrane technologies for water desalination. The successful candidate will contribute to a research project focused on the development of lignin-based functional membranes for desalination and water treatment applications. </p><br><p><strong>Minimum Qualifications:</strong></p><br><p>• PhD in Chemical Engineering (freshly graduate) or a closely related field. • Experience in polymeric membrane fabrication and characterization. • Knowledge of advanced functional materials for water treatment or desalination applications. • Hands-on experience with laboratory research and analytical characterization techniques. • Demonstrated research productivity through publications patents. • Excellent written and verbal communication skills in English. • Strong scientific writing and project management skills. </p><br><p><strong>Preferred Qualifications:</strong></p><br><p>Candidates currently residing in the United Arab Emirates will be given preference. </p><br> </div>

Role: Mathematics Professor/Researcher (PhD) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $60 - $90/hour<br>Role Overview:We are hiring for one of our clients, seeking a Mathematics Professor/Researcher (PhD) to work on a contract basis. The role involves theoretical and applied research in advanced mathematical frameworks, with a focus on algorithmic innovation and computational efficiency. Candidates will contribute to high-impact projects in AI and data science, leveraging deep mathematical expertise to solve complex problems.<br>Key Responsibilities:• Develop and refine mathematical models for AI-driven applications, including optimization and probabilistic reasoning.• Conduct rigorous theoretical analysis to validate and extend existing algorithms.• Collaborate with cross-functional teams to translate mathematical insights into scalable computational solutions.• Publish findings in peer-reviewed journals or present at academic and industry conferences.• Mentor junior researchers or graduate students in advanced mathematical concepts.<br>Required Skills & Qualifications:• PhD in Mathematics, Applied Mathematics, or a closely related field.• Proven expertise in mathematical modeling, numerical analysis, or computational mathematics.• Proficiency in programming languages such as Python, MATLAB, or Julia for mathematical simulations.• Strong background in statistics, linear algebra, or differential equations.• Experience with machine learning frameworks or optimization algorithms is highly desirable.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Technology, Information and Internet industry, contributing to the development of next-generation AI systems. The contract duration is project-based, with potential for extension based on performance and project needs.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

Role: ML Researcher (Remote) Location: Remote (Work from Anywhere) Job Type: Contract Payout: $20 - $90/hour<br>Role Overview:We are hiring for one of our clients, seeking a Machine Learning Researcher to work on a contract basis. The role involves advancing machine learning models and algorithms to solve complex problems in a high-impact environment. Responsibilities include designing, implementing, and evaluating novel AI solutions for real-world applications.<br>Key Responsibilities:• Design and develop machine learning models and algorithms to address specific business challenges.• Conduct research to improve existing models and explore new approaches in AI and machine learning.• Collaborate with cross-functional teams to integrate machine learning solutions into production systems.• Analyze large datasets to identify patterns and trends that inform model improvements.• Document research findings and present results to stakeholders in a clear and actionable manner.<br>Required Skills & Qualifications:• Proficiency in Python and machine learning frameworks such as Tensor Flow or PyTorch.• Strong background in applied mathematics, statistics, or a related quantitative field.• Experience with natural language processing, computer vision, or other specialized AI domains.• Ability to design and conduct experiments to evaluate model performance and accuracy.• Familiarity with data preprocessing, feature engineering, and model optimization techniques.• Experience with cloud platforms and distributed computing for scalable ML model training.<br>More About the Opportunity:This role offers a unique opportunity to work with a global leader in the Technology, Information and Internet industry, contributing to the development of cutting-edge AI solutions. Candidates will have the chance to work on impactful projects with direct influence on the company’s strategic direction.<br>Equal Opportunity Employer:We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.<br>Apply Now!

???? AI Safety Researcher???? Role Description We are looking for a thoughtful, analytical, and research-oriented AI Safety Researcher to help identify, understand, and mitigate risks associated with advanced artificial intelligence systems. ????️????In this role, you will contribute to research focused on making AI systems safer, more reliable, interpretable, robust, and aligned with intended objectives. You will investigate potential failure modes, evaluate model behavior, develop safety methodologies, and collaborate with researchers and technical teams to translate findings into practical improvements. ???????? Key Responsibilities Conduct research on AI safety, alignment, robustness, reliability, interpretability, and responsible AI. Design experiments to evaluate AI model behavior, capabilities, limitations, and potential failure modes. Develop and test methods for identifying, measuring, and mitigating AI-related risks. Analyze model outputs and investigate unexpected, harmful, misleading, or unreliable behaviors. Explore techniques for improving model robustness, controllability, transparency, and reliability. Develop evaluation frameworks, benchmarks, and testing methodologies for AI safety. ????Review relevant academic literature, research findings, and emerging developments in AI safety. Implement research ideas through experiments, prototypes, simulations, or computational studies. Analyze experimental results and communicate findings through clear technical reports and presentations. Collaborate with researchers, engineers, data scientists, and other stakeholders on safety-focused initiatives. ????Identify emerging risks and contribute to proactive approaches for responsible AI development. Support the development of safety guidelines, evaluation processes, and technical best practices. Maintain well-documented research methods, experiments, results, and conclusions. Continuously explore new research directions and contribute innovative ideas to the field. ???????? Qualifications Bachelor’s, Master’s, or PhD-level education in Computer Science, Artificial Intelligence, Machine Learning, Mathematics, Statistics, Cognitive Science, or a related field. Strong understanding of machine learning and modern AI concepts. Solid knowledge of AI safety, responsible AI, model evaluation, robustness, alignment, interpretability, or related research areas. Strong analytical, mathematical, and problem-solving abilities. ????Ability to formulate research questions, design experiments, and evaluate results systematically. Strong programming skills, particularly in Python or similar research-oriented languages. Familiarity with machine learning frameworks, data analysis tools, and scientific computing environments. Ability to critically evaluate technical research papers and emerging AI safety methodologies. Strong understanding of experimental design, statistical reasoning, and data-driven analysis. Excellent technical writing and communication skills. Curiosity, intellectual rigor, and a willingness to investigate complex and uncertain problems. Ability to collaborate effectively in multidisciplinary research environments. ????Strong ethical awareness and commitment to developing safe, reliable, and beneficial AI systems. Creative and independent research mindset with the ability to explore unconventional solutions. Commitment to continuous learning in the rapidly evolving field of artificial intelligence. ????If you are passionate about understanding the risks of advanced AI and developing practical methods to make AI systems safer, more reliable, and more trustworthy, this role offers an exciting opportunity to contribute to meaningful research and responsible AI development. ????

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>ADIC is seeking a Quantitative Researcher to join the Strategy team.<br> The successful candidate will play a key role in supporting ADIC's investment process through quantitative research, model development, and AI-driven solutions.<br> This role offers the opportunity to contribute to investment decision-making across both public and private markets by developing systematic signals, valuation models, and portfolio construction tools.<br> The successful candidate will work closely with investment professionals across the Strategy team to enhance quantitative capabilities and support the development of innovative investment solutions.<br> Key Responsibilities Generate and test alpha signals and factor ideas across asset classes using statistical and machine learning techniques.<br> Conduct quantitative research and develop valuation models across both public and private markets.<br> Design, backtest, and evaluate quantitative models, systematic strategies, and portfolio construction frameworks.<br> Build and enhance risk models, performance attribution frameworks, and investment analytics.<br> Develop end-to-end quantitative tools and applications to support investment workflows, from data ingestion through to deployment.<br> Partner with investment professionals across the Strategy team to deliver research, model specifications, and quantitative insights.<br> Drive AI and machine learning initiatives, identifying opportunities to enhance research and investment processes.<br> RequirementsExperience Minimum 5 years of relevant experience in quantitative research, systematic investing, portfolio construction, asset allocation, or investment strategy.<br> Experience conducting quantitative research across public markets, with exposure to private markets considered advantageous.<br> Proven experience designing, backtesting, and implementing quantitative models or systematic investment strategies.<br> Experience applying AI and machine learning techniques to financial datasets and developing production-ready analytical tools.<br> Education Bachelor's degree in Finance, Mathematics, Engineering, Computer Science, Statistics, Physics, or another quantitative discipline.<br> Master's degree or PhD is considered a strong advantage.<br> Technical Skills &amp; Knowledge Strong programming skills in Python or another object-oriented language, with experience developing production-quality code.<br> Good understanding of quantitative modelling, time-series analysis, factor models, and portfolio optimisation.<br> Experience with machine learning frameworks such as scikit-learn, TensorFlow or PyTorch.<br> Knowledge of SQL, cloud platforms, and Git-based development practices.<br> Strong understanding of financial markets, including equities, fixed income, private markets, and their application to portfolio management and asset allocation.<br> Excellent analytical and communication skills, with the ability to present complex quantitative findings to investment stakeholders.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>The Center for Quantum and Topological Systems (CQTS) at New York University Abu Dhabi (NYUAD), UAE, invites applications for a Post-Doctoral Associate position in Experimental Quantum Science Instrumentation. The successful candidate will join the Quantum center and will focus primarily on the design, construction, and deployment of advanced instruments for quantum-optical and spin-based experiments. Applicants with a strong experimental background and a demonstrated interest in building new measurement platforms are especially encouraged to apply.</p><br><br> <p>The selected candidate will work in a highly collaborative research environment within CQTS. The central responsibility of the position is instrument building: conceiving, prototyping, assembling, integrating, calibrating, automating, and troubleshooting custom experimental systems. These instruments may combine optical components, laser and spectroscopic methods, spin-control or magnetic-resonance techniques, electronics, data-acquisition hardware, and software control. The candidate will use these platforms to advance research in optics, spin physics, and related areas of quantum science, while collaborating with faculty, researchers, and students across CQTS and NYUAD. The successful applicant will also participate actively in undergraduate training through research supervision, laboratory instruction, and hands-on mentoring in experimental design and scientific instrument development.</p><br><br> <p>Applicants should meet the following qualifications and possess relevant expertise:</p><br><br> <ul> <li>A PhD in Physics, Applied Physics, Electrical Engineering, or a closely related field, with a strong experimental research background.</li> <li>Demonstrated experience designing and building scientific instruments, including the integration of optical, electronic, mechanical, and computer-controlled subsystems.</li> <li>Hands-on expertise in one or more of the following areas: optical systems, lasers, spectroscopy, quantum optics, spin physics, magnetic resonance, precision measurement, electronics, data acquisition, automation, or experimental control software.</li> <li>Strong problem-solving and troubleshooting skills, a commitment to collaborative interdisciplinary research, and an interest in mentoring undergraduate students in laboratory research and instrument development. </li> </ul> <p> The appointment will be for a period of two years.</p><br><br> <p>The terms of employment include a very competitive salary and attractive additional benefits, including a generous housing allowance, medical insurance with access to world-class facilities, an annual home-leave allowance, and, if applicable, dependent private-school fees. Salaries are tax-free in the UAE (for U.S. tax purposes, the Foreign Earned Income Exclusion may apply). The postdoctoral researcher will have dedicated funds for travel, computing, publications, and other research needs, and will have access to excellent world-class research facilities.</p><br><br> <p>The preferred starting date is September 2026, although an earlier start may be possible depending on the selected candidate and the completion of the appointment process. Review of applications will begin soon after the position is posted and will continue until the position is filled.</p><br><br> <p>Applicants should submit a cover letter, curriculum vitae, Transcript, publication list, a brief statement of research interests, and three letters of recommendation. In the cover letter and/or research statement, applicants are strongly encouraged to describe their experience in scientific instrument development and explain how they would contribute to interdisciplinary connections among the research areas represented within CQTS.</p><br><br> <p>Questions regarding this position may be directed to Prof. Asif Equbal at asif@nyu.edu.</p><br><br> <p><strong><span>About NYU Abu Dhabi</span></strong></p><br><br> <br> <p><span>https://nyuad.nyu.edu/en/</span></p><br><br> <br> <p><span>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’s shared challenges. NYU Abu Dhabi’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. </span></p><br><br> <br> <p><span>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.</span></p><br><br> <br> <p><span>Students are drawn from among the world’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.</span></p><br><br> <p><strong><span>Working for NYUAD</span></strong></p><br><br> <p><span>At NYUAD, we recognize that Abu Dhabi is more than where you work; it’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. </span></p><br><br> <br> <p><span>Visit our website for more information on benefits for you and your dependents.</span></p><br><br> <br> <p><span>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.</span></p><br><br> <br> <p><span>Applications are welcome from all qualified candidates. In line with UAE regulations, Emirati candidates are encouraged to apply.</span></p><br><br> <br> <p><strong><span>Join NYU Abu Dhabi, an exceptional place for exceptional people.</span></strong></p><br><br> <br> <p><span>NYUAD values belonging and respect; such principles are fundamental to the university’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’s mission.</span></p><br><br> <br> <p><span>@WorkAtNYUAD</span></p><br><br><br> </div>