What Jobs are available for Algorithms in the United Arab Emirates?

Organisation/Company NEW YORK UNIVERSITY ABU DHABI Research Field Computer science Researcher Profile Recognised Researcher (R2) First Stage Researcher (R1) Established Researcher (R3) Country United Arab Emirates Application Deadline 30 Nov 2025 - 00:00 (UTC) Type of Contract Permanent Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No

Description

TheDivision of Science at NYU Abu Dhabi (NYUAD) invites applications for tenured / tenure-track open-rank faculty positions within itsComputer Science Program. The search will prioritize candidates who specialize in Artificial Intelligence (AI) and Machine Learning (ML), including but not limited to areas such as deep learning, natural language processing, computer vision, reinforcement learning, ethical/trustworthy AI, and interdisciplinary applications of AI/ML in various domains. We welcome applicants whose research advances the theoretical foundations of AI/ML and/or explores novel methodologies and transformative applications that address real-world challenges.

Multidisciplinary research and exceptional teaching in a highly diverse and inclusive campus community are hallmarks of the University’smission . Faculty within the Program of Computer Science at NYUAD are highly collaborative and pursue cutting-edge research that is very interdisciplinary. Their internationally renowned research projects are in fields that include, but are not limited to: artificial intelligence; big data; bioinformatics; computational sciences; cybersecurity; human-data interaction; information and communication technologies for development; machine learning, natural language processing; software engineering and analysis, and theoretical computer science.

There are many collaboration opportunities within the research centers, which include the Center for Cyber Security, the Center for Interacting Urban Networks (CITIES), the Center for Artificial Intelligence and Robotics (CAIR), the Center of Interdisciplinary Data Science and Artificial Intelligence (CIDSAI), the Center for Quantum and Topological Systems, as well as with faculty in NYU New York’s Courant Institute of Mathematical Sciences and Tandon School of Engineering.

Available openings are at the Assistant, Associate, and Full Professor rank (tenured/tenure-track). Applicants should hold a PhD and demonstrate an outstanding track record for their career stage, in both research and teaching. This includes having publications in leading peer-reviewed journals or conferences, as well as experience in or the potential to lead research projects and secure research funding. As part of a multi-year hiring plan, we are interested in excellent candidates from Artificial Intelligence and Machine Learning, but may also consider other areas of Computer Science, including, but not limited to the fields where we have current strengths.

Successful candidates will receive a generous startup package, as well as renewable research funding to hire research assistants and postdocs, and will also have access to internal funding. Additional research support includes access tohigh-performance computing facilities .

The prudent fusion of science and other academic disciplines at NYUAD has resulted in the creation of state-of-the-art, interdisciplinaryresearch centers , andcore technology platforms, in which questions are answered and problems tackled by scientists of international distinction.

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.

NYUAD is committed to upholding a culture of non-discrimination, anti-harassment, dignity, and mutual respect; providing equal access and opportunity; and fostering academic excellence in learning, research, and teaching.

Students are drawn from among the world’s best. They are bright, intellectually passionate, and committed to building a campus environment anchored in mutual respect, understanding, and care. The NYUAD undergraduate student body has garnered an impressive record of scholarships, graduate-school admissions, and other global honors. Graduate education is an area of growth for the University; the current graduate student population of over 100 students is expected to expand in the next decade as doctoral programs are developed.

Working for NYUAD

At NYUAD, we recognize that Abu Dhabi is more than where you work; it’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.

Qualifications

This position requires a Ph.D. in Computer Science or other related fields.

We seek applicants who have, or have the potential to develop, a strong record of scholarship and have the ability to conduct and develop high-quality research.

Application Instructions

To apply for this position, please submit the following items:

• CV including a list of publications and summary of up to five (5) significant research contributions.
• Research Statement
• Teaching Statement
• Community contribution statement. This item also gives an opportunity to discuss the candidate’s societal impact and outreach activities.
• Contact information of 3 references for recommendation letters to be solicited at a later stage of the search process. Do not include the letters in the uploaded documents.

We will begin reviewing applications immediately. Shortlisted candidates are expected to be invited for campus visits in Abu Dhabi and New York in Spring 2026. We anticipate that successful candidates can start the appointment and relocate to Abu Dhabi in the academic year , subject to final budget approval.

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.

Join NYU Abu Dhabi, an exceptional place for exceptional people.

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.

Overview

To teach and examine courses at all levels – undergraduate, master and higher research degrees – through lectures, seminars, tutorials, course work and personal supervision.

To provide high-quality teaching and learning across a range of programs within a Hybrid Education setting, particularly in Computing and also applied computer and engineering subjects within a range of degrees within the faculty.

Evaluating, grading projects/examinations and tracking student progress

Develop, maintain, and organize all instructional materials.

To ensure a high-quality learning experience for students which meets internal and external quality standards.

To use a variety of delivery methods which will stimulate learning appropriate to student needs and demands of the syllabus.

To ensure that the curriculum area provides a range of teaching which complements the universities’ strategic objectives.

To assist in the process of curriculum development and change to ensure continued relevance to the needs of students, examining awarding bodies and our Aims and Strategic Objectives.

Respond to student inquiries and provide meaningful advice.

To continue personal development including subject knowledge and teaching method.

To contribute to the Curriculum Area/Department’s development plan and implementation.

To contribute to the development of specialist teaching and learning provision, including short courses, in computer science and associated disciplines.

To participate in Program/School/College activities as requested, including Open Days.

• Profound understanding of computer science concepts, algorithms, programming languages, and software development methodologies.
• Expertise in multiple programming languages relevant to computer science domains, enabling effective instruction and guidance to students.
• Familiarity with AI and machine learning concepts, enabling the teaching and mentoring of students in these evolving fields.
• Willingness to stay updated with technological advancements, industry trends, and educational best practices.
• Commitment to continuous learning and professional development to enhance teaching and research capabilities.

• A doctoral-level qualification in an area of academic relevance to the work of the Department. (OR)
• Master’s degree in computer science, computer engineering, or related discipline.
• Relevant professional experience.
• Knowledge and experience of current teaching and learning strategies.

Description

Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) is looking for passionate and highly motivated faculty. The successful candidates will be responsible for delivering high-quality instruction, mentoring students, contributing to curriculum development, and actively engaging in interdisciplinary research. Faculty members will also have the opportunity to collaborate with leading AI researchers, work on cutting-edge projects, and contribute to the university's growth as a hub for AI excellence.

The Department of Computer Science is expanding and aims to grow to 15-20 faculty members over the coming year. We invite candidates at all levels (Assistant, Associate, and Full Professor) to apply, in areas including, but not limited to:

• Computer systems
• Databases
• Theoretical computer science
• Security
• Programming languages and compilers
• Software engineering
• Networking
• AI-driven computing
• Energy-efficient computing and sustainable AI

MBZUAI is the world’s first university dedicated exclusively to AI and is rapidly emerging as a global leader in the field. Since its establishment in 2019, MBZUAI has grown into a top-ranked AI institution, hosting over 80 faculty members and 330 graduate students, ranking among the top 10 AI universities worldwide.

With plans to expand from 8 to over 20 AI departments and grow its faculty from 84 to 300 by 2030, MBZUAI is on a fast growth trajectory. We foster collaboration between academia, industry, and government to drive AI innovation addressing challenges in healthcare, sustainability, and beyond.

• Top-tier compensation: Competitive salaries aligned with leading global academic institutions
• Funding: Resources and academic freedom to foster groundbreaking AI research
• Exceptional benefits: Comprehensive health & life insurance, relocation support for international faculty
• State-of-the-art research facilities: Cutting-edge AI labs and high-performance computing
• Live in Abu Dhabi: Safe city, year-round sunshine, rich culture, modern amenities
• Industry & government collaborations: Work with top AI researchers, tech firms, and policymakers

This position requires a PhD in Computer Science or a closely related field. Candidates should demonstrate excellence in conducting innovative and impactful research, and passion for mentoring students.

To apply, please submit the following items:

• Cover Letter
• Curriculum Vitae
• Research and teaching statements
• List of publications and Google Scholar H-Index
• Name and contact details of at least three referees (referees will be contacted during the recruitment process to upload their reference letters)

This institution uses Interfolio's Faculty Search platform. Applicants will receive a free Dossier account to send all application materials, including confidential recommendation letters, free of charge.

MBZUAI complies with regulations prohibiting discrimination based on race, color, religion, sex, national origin, protected veteran status, or disability. We are committed to affirmative action to employ and advance individuals without regard to these protected categories.

About Us
Prime Focus Educational Services is seeking qualified and enthusiastic Computer Science and IT Teachers for part-time positions. In this role, you will provide personalized lessons, both online and in-person at students’ locations, to help them excel in their studies and enhance their technical skills.

Requirements:
• Bachelor’s Degree in Computer Science, IT, or a related field
• Minimum of 2 years of teaching experience in Computer Science and IT subjects
• Strong knowledge of programming languages, software development, and IT fundamentals
• Excellent communication and organizational skills
• Valid UAE visa
• Ability to teach in-person (at students’ homes) or online based on student preferences
• UAE Driver’s License is a plus
• Passion for teaching and helping students develop technical problem-solving skills

Job Type: Part-time
Locations: Dubai and Abu Dhabi
Languages: Proficiency in English (both written and oral) is essential. Fluency in other languages is a plus.

Key Responsibilities:
• Create and deliver engaging lessons tailored to individual student needs
• Teach various subjects related to Computer Science, IT, and Programming (e.g., Java, C++, Web Development, Software Engineering)
• Ensure that lessons are accessible and understandable to students of varying skill levels
• Track student progress, providing feedback, and offering academic guidance
• Maintain open communication with parents to keep them informed of their child’s progress
• Foster a safe, supportive, and motivating learning environment
• Prepare students for exams, assignments, and practical tasks as needed
If you are passionate about Computer Science and IT, and are eager to support students in mastering these essential skills, we would love to hear from you!

Job Category: Information Technology Teacher

Job Type: Part Time

Job Location: Abu Dhabi Dubai

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Job Description
Prime focus educational Services has a vacancy for IT and Computer Science teachers willing to teach students home or online.

REQUIREMENTS

• Bachelor Degree Holder (Education Degree is an advantage)
• At least 2 years’ experience in teaching.
• Excellent communication and organizational skills
• Has his/her own visa.
• Must be willing to teach students in their homes/office/online
• UAE Drivers licence is an advantage.
• Have high expectations that motivate, support, challenge and drive both colleagues and students.

Job Type: Part time

Job location: Dubai and Abu Dhabi

Essential: Proficiency in English and Arabic is desirable.

Main Duties and Responsibilities

• Ensure lessons are differentiated to meet the needs of all students.
• Design, prepare and deliver high-quality lessons to suit the individual needs of all students.
• Must be willing to teach students in their homes or online depending on the student’s requirement.
• Communicate accurately and regularly with parents.
• Assess and monitor student progress and provide targets so that all learners can see success and improve incessantly.
• Maintain constant awareness of the needs of any students to whom English is an additional language.
• Maintain a safe learning environment for students.

Reference Number: 381 Al Ain

Job Description:

• Develop and deliver well-structured, engaging lectures and coursework on AI, Machine Learning, and related subjects to undergraduate and graduate students.
• Ensure that the classroom environment is conducive to learning, encouraging student interaction and participation.
• Review and revise courses, programs, and assessments in line with quality assurance and enhancement standards.
• Develop innovative and effective teaching methods, integrating modern AI tools and frameworks.
• Provide timely, constructive feedback on student coursework, projects, and examinations.
• Offer general academic support and guidance to students, addressing their concerns and referring to specialized resources when necessary.
• Actively engage in faculty and program initiatives, contributing to departmental and university goals, and supporting accreditation processes.
• Work collaboratively with faculty, staff, and students to ensure an enriching and productive student experience.
• Perform any additional duties as requested by the Program Director or Dean.

General Conditions:

• 4+ years of professional experience in teaching AI-related subjects at the university level.
• Strong proficiency in programming languages such as Python, R, Java, or C++ and familiarity with AI frameworks like TensorFlow, PyTorch, Keras, and Scikit-learn.
• Excellent verbal and written communication skills with the ability to interact effectively with students, colleagues, and the academic community.
• Demonstrated ability to work collaboratively in a diverse, multicultural academic environment.
• Research published in reputable journals indexed in the Scopus database.
• A passion for mentoring students in research and supporting their academic and professional growth.

Organisation/Company NEW YORK UNIVERSITY ABU DHABI Research Field Computer science Researcher Profile Recognised Researcher (R2) Established Researcher (R3) Country United Arab Emirates Application Deadline 5 Nov 2025 - 00:00 (UTC) Type of Contract Permanent Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No

Description

The laboratory of Dr. Djellel Difallah in the Division of Science, New York University Abu Dhabi, seeks a Post-Doctoral Associate or a Research Associate to join a lab focused on applied machine learning.

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.

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:

• Strong foundation in one of the following areas: Machine Learning / Information Retrieval / Knowledge Graph Representation / Recommender Systems
• Graph Theory/Network Science
• Python, and up-to-date machine learning libraries
• Excellent written and verbal communication skills
• Track record of publishing in top tier conferences

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:

About NYUAD:

NYU Abu Dhabi is a degree-granting research university with a fully integrated liberal arts and science undergraduate program in the Arts, Sciences, Social Sciences, Humanities, and Engineering. NYU Abu Dhabi, NYU New York, and NYU Shanghai, form the backbone of NYU’s global network university, an interconnected network of portal campuses and academic centers across six continents that enable seamless international mobility of students and faculty in their pursuit of academic and scholarly activity. This global university represents a transformative shift in higher education, one in which the intellectual and creative endeavors of academia are shaped and examined through an international and multicultural perspective. As a major intellectual hub at the crossroads of the Arab world, NYUAD serves as a center for scholarly thought, advanced research, knowledge creation, and sharing, through its academic, research, and creative activities.

EOE/AA/Minorities/Females/Vet/Disabled/Sexual Orientation/Gender Identity Employer

Messilat is seeking a talented MLOps Engineer for our client's team. The perfect candidate will excel in deploying models, managing microservices, utilizing Docker, and maintaining Kubernetes. Our client is also exploring AI applications in customer service, cybersecurity, and compliance.

Key Responsibilities

• Transition models from development to production, ensuring scalability and high performance. Collaborate with development teams for seamless model deployment.
• Implement monitoring and maintenance strategies for deployed models to ensure ongoing accuracy and reliability.
• Maintain Kubernetes clusters to ensure high availability and performance.
• Work with cross-functional teams to understand business requirements and deliver effective machine learning solutions.
• Develop and implement strategies that optimize efficiency and data quality.

Qualifications

• Minimum of 3 years of experience in MLOps or a related field.
• Expertise in model deployment, containerization, and orchestration (e.g., Docker, Kubernetes).
• Familiarity with cloud platforms (e.g., AWS, or on-premises) for model deployment and management.
• Experience in deploying AI models and managing their lifecycle.
• Proficiency in Python for scripting and automation.
• Prior experience in addressing scalability and pricing concerns in ML operations.

Skills

• Model deployment, monitoring, Docker, Kubernetes, AWS Cloud services, on-premises deployment, collaboration.

If you are passionate about MLOps and looking for a challenging role where you can make a significant impact, we would love to hear from you. Apply today!

EchoTwin AI is the intelligence layer powering self-healing cities—urban systems that not only detect issues in real time, but also trigger automated corrective actions or surface prioritized insights through agentic workflows. This represents a fundamental shift from reactive governance to proactive, adaptive urban management. The result? Cleaner, safer, smarter cities that manage themselves.

Our platform combines artificial intelligence, digital twins, and spatial analytics to help municipalities and infrastructure operators monitor assets, enforce compliance, and optimize urban operations. By integrating edge-based visual intelligence with real-time data and geospatial reasoning, EchoTwin AI delivers continuous oversight and faster, more intelligent responses to complex urban challenges.

With deployments across North America and the Middle East—including flagship projects in New York City, Abu Dhabi, and Riyadh—we partner with forward-thinking governments and innovators to build resilient, adaptive infrastructure for the cities of tomorrow.

• Collaborate with cross-functional teams, including the product manager, software developers, and domain experts.

• Research and experiment with state-of-the-art tools and techniques in Machine Learning.

• Document processes, pipelines, and model performance thoroughly.

• Train and deploy machine learning models for object detection and classification in images and videos.

• Preprocess and annotate image and video datasets for training purposes.

• ·Optimize deep learning models for efficiency and scalability in production.

• ·Design and implement predictive models to analyze trends, patterns, and anomalies.

• Develop data pipelines with data engineers to handle large-scale structured and unstructured datasets.

• Apply statistical and machine learning techniques to forecast outcomes and support decision-making.

• Master’s or Bachelor's degree in Computer Science, Mathematics, IT, or a related field.

• 5+ years of experience as a Computer Vision Engineer.

• 10+ years in software development and machine learning.

• Strong knowledge of machine learning concepts and algorithms.

• Proficiency in Python, C++, and ML libraries like TensorFlow or PyTorch.

• Solid understanding of data preprocessing, feature engineering, and model evaluation techniques.

• Experience in computer vision, particularly object detection and image processing techniques (e.g., YOLO).

• Familiarity with predictive analytics tools.

• Knowledge of cloud platforms (AWS) for deploying and managing machine learning models.

• Experience with MLOps practices.

• Proficiency in spoken and written English.

There are endless learning and development opportunities from a highly diverse and talented peer group, including experts in various fields, including Computer Vision, GenAI, Digital Twin, Government Contracting, Systems and Device Engineering, Operations, Communications, and more!

• Options for medical, dental, and vision coverage for employees and dependents (for US employees)

• Flexible Spending Account (FSA) and Dependent Care Flexible Spending Account (DCFSA)

• 401(k) with 3% company matching

• Unlimited PTO

• Profit sharing

Please do not forward resumes to our jobs alias, EchoTwin AI employees, or any other company location. EchoTwin AI is not responsible for any fees related to unsolicited resumes.