64 Science jobs in the United Arab Emirates

Overview

Job Title: Classroom Teacher
Department: Secondary
Reports to: Head of Faculty
Direct Reports: NA

V ISP

This is not an exhaustive list of all duties and responsibilities.

• Teaching and learning responsibilities:
• Have excellent subject knowledge for their subject, having the subject knowledge to be able to stretch the most able learners at KS5.
• Have an in-depth knowledge of the examination requirements of the specifications that they teach in order to prepare students thoroughly for the specifics of the qualification.
• Be able to use all available contextual data to plan learning to meet the needs of all learners.
• Be a responsive teacher, adapting practice where necessary to assure that all students make progress.
• Provide appropriate challenge to all learners, including those identified as More Able and Talented, through teaching to the top and providing appropriate scaffolding and support where necessary.
• Support those with additional learning needs, for whom English is an additional language or English Language Learners by providing support and scaffolds where appropriate and drawing on the expertise of colleagues, whilst maintaining the highest of expectations of all.
• Undertake a range of formative and summative assessment strategies to know where students are in their learning and to plan future learning.
• Mark work, following the school marking policy, to ensure that students receive frequent feedback on their learning that moves them forward and enables them to make progress.
• Track and monitor the attainment and progress of individuals and groups of students, adapting provision where appropriate to ensure the highest attainment and progress for all.
• Effectively communicate with parents, through completing regular reports, attending parents’ evenings, and individual communications in order to ensure that parents are involved in their child’s learning at all times.
• Contribute to the creation, review and development of faculty resources, ensuring that any resources used are tailored to the specific needs of students in the class.
• Ensure students make progress within each lesson and across lessons.
• Create and nurture a warm, caring, but academically driven classroom environment.
• Maintain a positive and purposeful physical learning environment, including high quality classroom displays.

• Pastoral responsibilities:
• Be responsible for the holistic, emotional and social development of a tutor group of students.
• Monitor the attendance, punctuality and behaviour of students within the tutor group.
• Deliver PERMA lessons during tutor time, following the principles of Positive Psychology.
• Deliver Moral, Social and Cultural lessons during tutor time, in line with the MOE curriculum.
• Attend assemblies and contribute to the assembly programme as appropriate.
• Work closely with the Head of Year, taking direction from them and referring students who need further support to them.

• To promote and safeguard the welfare of children and young people that you are responsible for, or come into contact with.
• Communicate effectively and appropriately with all stakeholders at all times.
• Behave appropriately at all times, inline with the EC standards and school values.
• Attend school events and take part in the wider life of the school.
• Offer an extracurricular club for at least two school terms that is of a high quality.
• Play a part in continually improving the school by aiding the relevant improvement plans and school improvement plan.
• Conduct break time/ lunch time duties as per a rota.
• Cover for absent colleagues, as and when appropriate.
• Take responsibility for one’s own professional development journey engaging in the school-wide professional development programme.
• Any other reasonable duties as assigned by the Principal/Senior leaders/Line managers.

• Have a good honours degree.
• Hold a QTS or PGCE teaching qualification, preferably from the UK.
• Have a minimum of two years’ experience of teaching.
• Be talented and highly motivated.
• Have experience teaching relevant UK curriculums.
• Be willing to contribute to the development of departmental resources.
• Contribute to whole school enrichment activities before or after school.
• Be able to provide an ICPC and a UK enhanced DBS or equivalent police check.
• Be professional in appearance and conduct.
• Be willing to contribute to the wider curriculum and support the vision of the school.

• Is honest, even when this is uncomfortable.
• Has integrity, even when this is difficult.
• Is transparent, consistent and fair.
• Can be flexible when the situation demands.
• Is reflective, always seeking to improve.
• Always assumes positive intent.
• Is incredibly hard working, even if it means going above and beyond.
• Is a team player and can share the load at peak times.
• Is a lifelong learner - engaged in their own professional development.
• Takes feedback well, always seeking this as helpful feedback to improve.
• Is a strategic thinker - is able to see the bigger picture.

• Pays attention to detail - has high standards.
• Has impact - can follow things through to an outcome.
• Is proactive at identifying issues before they arise and suggesting solutions.
• Can propose solutions - solves rather than narrates problems.
• Is thorough in all that they do.
• Has direct and indirect leadership skills.
• Is able to lead and inspire a tutor team.
• Is able to seek advice where appropriate.
• Has a sense of humour.

• Knowledge and understanding of the relevant English National Curriculum, principles of assessment and effective record-keeping and their use to promote the educational and personal development of the students.
• A strong understanding of pedagogy and teaching and learning methods.
• A strong understanding of child development and pastoral support.

• A commitment to the EC vision & values.
• A commitment to encouraging the professional development of yourself and all staff, including delegation of responsibility where appropriate and possible.
• Excellent, caring student-centred educator.
• Ability to influence people and to work with individuals and within teams.
• Ability to work collaboratively as part of a team.
• Ability to react well under pressure.
• Excellent organisational skills.

A leading learning center in Dubai is seeking a highly skilled and motivated science teacher to join our team, with a specialization in chemistry, biology or physics. As a science teacher, you will be responsible for providing one-on-one and small group instruction to students of all ages and skill levels, helping them to understand and apply scientific concepts and principles.

Key Responsibilities:

• Develop and implement lesson plans that align with student’s needs and learning objectives
• Assess student’s progress and provide regular feedback to parents and guardians
• Use a variety of teaching methods to engage students and ensure their success
• Collaborate with other teachers and staff to enhance the overall learning experience
• Utilize technology and other resources to support student learning and make science concepts come alive

Qualifications:

• Bachelor’s degree in science, with specialization in Math, Physics, Chemistry & Biology
• Teaching certification or equivalent experience
• Strong knowledge of the specific science subject you are applying for
• Experience teaching students of all ages and skill levels
• Ability to work independently and as part of a team
• Strong communication and interpersonal skills

If you are passionate about science and dedicated to helping students succeed, we encourage you to apply today!

To apply, please submit your resume and cover letter.

We look forward to hearing from you!

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.

Science - MYP Science ,DP Biology and Chemistry Teacher needed for January 2026

For 2026/2027, the school will have several vacancies due to their school's ongoing growth and expansion of programs.

This position requires an experienced DP teacher able to teach both Biology and Chemistry.

Candidates should:

• have a Bachelor Degree in Science/Biology and qualified teacher status
• have 2 years of experience
• have experience of the IB curriculum
• facilitate good teaching and learning

An attractive employment package is offered that includes a tax free monthly salary plus extra for additional qualifications, free furnished accommodation, annual flights, medical insurance and end of contract gratuity. Benefits are available for dependants depending upon individual circumstances. Please contact Edvectus today.

A software development company is looking for a talented, long-term Lead DS Researcher.

We’re looking for a Lead Data Science Researcher who thrives in research-heavy environments and enjoys exploring uncharted territory with the support of a strong technical team.

This is a unique opportunity to drive forward new ideas and applications, not just optimize existing ones.

About the company

Company Top Remote Talent

The company is a team of experts providing analytical services to healthcare clients. You will join an international team of first class professionals who are passionate to create products that improve quality of medical services.

Responsibilities

You will lead a compact team of two data scientists, guiding them on high-impact research initiatives and experimental projects. Your role will involve pushing the boundaries of applied machine learning — especially in the context of medical and clinical data — and turning complex problems into innovative solutions.

Requirements

**What we’re looking for:**Exceptional analytical and statistical skills-comfortable with uncertainty, inference, and experimentation;

Strong background in different areas of ML (traditional classification and regression techniques, recommender systems, text data, clustering, etc.);

Solid experience with deep learning frameworks like PyTorch or TensorFlow;

Excellent Python skills (beyond Jupyter Notebooks) - ability to build clean, testable, production-ready code;

Familiarity with medical or life science data is a strong plus;

Expertise in SQL, Pandas, Scikit-learn, and modern data workflows;

Comfortable working in Google Cloud Platform (GCP) environments.

**Bonus points for experience with:**State-of-the-art NLP models, Transformers, Agentic Approaches for mixed (temporal and text) data analysis and summarization;

Experience with pipeline orchestration tools like Airflow, Argo, etc.;

Proven Experience with Anomaly Detection and Forecasting with explainability for temporal and mixed data;

Intermediate+ English — ability to participate in written discussions with international teams and clients.

Working conditions

**Benefits:**Join a mission-driven team working at the intersection of data, medicine, and impact;

Work on meaningful challenges with long-term value for public health and healthcare quality;

Collaborate with top-tier experts in a culture that values curiosity, autonomy, and innovation;

Fully remote-friendly setup with flexibility and trust at the core.

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Embark on a journey where your unique contributions are celebrated, and your professional growth is embraced. At ADCB, we nurture a diverse, inclusive community where every voice is valued.

About the business area

GBS is a group of highly skilled and talented professionals who form an essential part of ADCB's continued journey of success. With a proud history of commitment, innovation and delivery, GBS constantly strives for excellence whilst ensuring the highest standards of quality and risk awareness. Each and every member of the GBS family plays an integral role in driving ADCB's strategy, growth and digital evolution by working closely with our valued business partners to achieve exceptional customer experience through our outstanding service and support.

We are actively seeking an ambitious professional to join our team at ADCB to work alongside passionate colleagues who share your ambition to redefine excellence in UAE banking.

• Develop and Implement advanced data science solutions to support the organization’s AI strategy
• Lead the design and execution of analytical models, ensuring data integrity, scalability, and relevance to business objectives
• Collaborate with cross-functional teams to translate complex data into actionable insights, and contribute to the structuring of AI-related roles and capabilities through evidence-based workforce planning and job design
• Drive the design and deployment of advanced Artificial Intelligence (AI)/Machine Learning (ML) models to optimize core banking operations, enhance digital customer journeys, and support strategic decision-making
• Build and maintain robust machine learning pipelines using Azure AI Foundry or AWS SageMaker, ensuring scalability, automation, and seamless integration with cloud-native services
• Develop and fine-tune generative AI models, including RAG and agentic workflows, leveraging cutting-edge techniques like Low-Rank Adaptation (LoRA), Parameter-efficient fine-tuning (PEFT), and multimodal architectures
• Design and execute complex experimental frameworks, including A/B testing, to derive actionable insights and validate model performance with statistical inference
• Work closely with software and data engineers to implement version-controlled, containerized (Docker) solutions, and Continuous Integration (CI)/Continuous Deployment (CD) pipelines for efficient model deployment
• Define and enforce documentation standards, coding practices, and reproducibility protocols to ensure consistency and quality across all data science projects
• Monitor and evaluate model performance using Machine Learning Operations (MLOps) and Large Language Models (LLMs) specific metrics (e.g., Bilingual Evaluation Understudy (BLEU), ROUGE), ensuring transparency, fairness, and continuous improvement of Artificial Intelligence (AI) systems
• Strong knowledge of banking operations and terminologies
• Analyses complex banking products and services for facilitating decision-making
• Adhere to all relevant organisational and departmental policies, processes, standard operating procedures and instructions so that work is carried out to the required standard and in a consistent manner while delivering the required standard of service to customers and stakeholders
• Manage self in line with the Bank’s people management policies, procedures, processes and practices to ensure adherence and to maximise own contribution to business performance
• Demonstrate Our Promise and apply the ADCB Service Standards to deliver the Bank’s required levels of service in all internal and external customer interactions

• Minimum 5 years of experience in data science, with proven expertise in AI/ML, statistical modelling, and cloud-based deployments
• Strong background in banking processes, generative AI, and Machine Learning Operations (MLOps)
• Experience leading cross-functional teams and delivering scalable, production-grade solutions in a regulated, data-driven environment
• Bachelor’s degree in quantitative field such as Computer Science, Artificial Intelligence, Software Engineering, Statistics, Mathematics or related field required
• Master’s degree or equivalent in AI/ML is preferred
• N/A
• Advanced Python for AI/ML development and data manipulation
• Strong statistical expertise and experimental design (A/B testing, inference)
• Experience with ML models (transformers, RNNs), GenAI, and agentic workflows
• Skilled in fine-tuning LLMs using LoRA, PEFT, and evaluating with BLEU/ROUGE
• Proficient in building ML pipelines on Azure AI Foundry or AWS SageMaker
• Familiar with cloud services (Azure/AWS), serverless deployments, and MLOps tools
• Strong data visualization skills (Tableau, Power BI) with UX-focused design
• Effective collaboration with engineering teams and cross-functional stakeholders
• Knowledge of CI/CD, containerization, and documentation standards
• Active learner with awareness of emerging AI trends and technologies

Comprehensive Benefits Package: This includes market-leading medical insurance, group life and personal accident insurance, paid leave and leave airfare, employee preferential rates on loans and finance facilities, staff discounts and offers, and children education assistance (for certain job levels).

Flexible and Remote Working Options: We understand the importance of work-life balance and offer flexible working arrangements, subject to eligibility and job requirements.

Learning and Development Opportunities: We value and facilitate continuous learning and personal development, through a variety of exciting learning opportunities, such as structured instructor-led courses, a comprehensive e-Learning catalog, on-the-job training and professional development programs.

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Embark on a journey where your unique contributions are celebrated, and your professional growth is embraced. At ADCB, we nurture a diverse, inclusive community where every voice is valued.

About the business area

GBS is a group of highly skilled and talented professionals who form an essential part of ADCB's continued journey of success. With a proud history of commitment, innovation and delivery, GBS constantly strives for excellence whilst ensuring the highest standards of quality and risk awareness. Each and every member of the GBS family plays an integral role in driving ADCB's strategy, growth and digital evolution by working closely with our valued business partners to achieve exceptional customer experience through our outstanding service and support.

We are actively seeking an ambitious professional to join our team at ADCB to work alongside passionate colleagues who share your ambition to redefine excellence in UAE banking.

In this role, your key responsibilities include:

• Develop and Implement advanced data science solutions to support the organization’s AI strategy
• Lead the design and execution of analytical models, ensuring data integrity, scalability, and relevance to business objectives
• Collaborate with cross-functional teams to translate complex data into actionable insights, and contribute to the structuring of AI-related roles and capabilities through evidence-based workforce planning and job design
• Drive the design and deployment of advanced Artificial Intelligence (AI)/Machine Learning (ML) models to optimize core banking operations, enhance digital customer journeys, and support strategic decision-making
• Build and maintain robust machine learning pipelines using Azure AI Foundry or AWS SageMaker, ensuring scalability, automation, and seamless integration with cloud-native services
• Develop and fine-tune generative AI models, including RAG and agentic workflows, leveraging cutting-edge techniques like Low-Rank Adaptation (LoRA), Parameter-efficient fine-tuning (PEFT), and multimodal architectures
• Design and execute complex experimental frameworks, including A/B testing, to derive actionable insights and validate model performance with statistical inference
• Work closely with software and data engineers to implement version-controlled, containerized (Docker) solutions, and Continuous Integration (CI)/Continuous Deployment (CD) pipelines for efficient model deployment
• Define and enforce documentation standards, coding practices, and reproducibility protocols to ensure consistency and quality across all data science projects
• Monitor and evaluate model performance using Machine Learning Operations (MLOps) and Large Language Models (LLMs) specific metrics (e.g., Bilingual Evaluation Understudy (BLEU), ROUGE), ensuring transparency, fairness, and continuous improvement of Artificial Intelligence (AI) systems
• Strong knowledge of banking operations and terminologies
• Analyses complex banking products and services for facilitating decision-making
• Adhere to all relevant organisational and departmental policies, processes, standard operating procedures and instructions so that work is carried out to the required standard and in a consistent manner while delivering the required standard of service to customers and stakeholders
• Manage self in line with the Bank’s people management policies, procedures, processes and practices to ensure adherence and to maximise own contribution to business performance
• Demonstrate Our Promise and apply the ADCB Service Standards to deliver the Bank’s required levels of service in all internal and external customer interactions

The ideal candidate should have the following experience:

• Minimum 5 years of experience in data science, with proven expertise in AI/ML, statistical modelling, and cloud-based deployments
• Strong background in banking processes, generative AI, and Machine Learning Operations (MLOps)
• Experience leading cross-functional teams and delivering scalable, production-grade solutions in a regulated, data-driven environment
• Bachelor’s degree in quantitative field such as Computer Science, Artificial Intelligence, Software Engineering, Statistics, Mathematics or related field required
• Master’s degree or equivalent in AI/ML is preferred
• N/A
• Advanced Python for AI/ML development and data manipulation
• Strong statistical expertise and experimental design (A/B testing, inference)
• Experience with ML models (transformers, RNNs), GenAI, and agentic workflows
• Skilled in fine-tuning LLMs using LoRA, PEFT, and evaluating with BLEU/ROUGE
• Proficient in building ML pipelines on Azure AI Foundry or AWS SageMaker
• Familiar with cloud services (Azure/AWS), serverless deployments, and MLOps tools
• Strong data visualization skills (Tableau, Power BI) with UX-focused design
• Effective collaboration with engineering teams and cross-functional stakeholders
• Knowledge of CI/CD, containerization, and documentation standards
• Active learner with awareness of emerging AI trends and technologies

What we offer:

Comprehensive Benefits Package: This includes market-leading medical insurance, group life and personal accident insurance, paid leave and leave airfare, employee preferential rates on loans and finance facilities, staff discounts and offers, and children education assistance (for certain job levels).

Flexible and Remote Working Options : We understand the importance of work-life balance and offer flexible working arrangements, subject to eligibility and job requirements.

Learning and Development Opportunities: We value and facilitate continuous learning and personal development, through a variety of exciting learning opportunities, such as structured instructor-led courses, a comprehensive e-Learning catalog, on-the-job training and professional development programs.

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.