ai expert for plant data model (pdm project)

oas team lead (oracle analytics server & bi delivery activities) arabic speaker

officer – mea bureaus administration igs

ai expert for plant data model (pdm project) Jobs in Doha

ai project manager

ai solutions architect

machine learning intern

Forvis Mazars in Qatar

<div>Job responsibilities: 
<ul><li>Responsible for overall design, operation, maintenance and continuous improvement of the data, analytics and artificial intelligence platforms used by the Security Operations Center (further referenced as SOC). Responsibilities and duties are planned as follows:</li></ul>

<ul><li>Continuous maintenance of the data pipelines, analytics platforms and AI models used by the Security Operations Center; including data ingestion, normalization, feature extraction, model training and deployment.</li></ul>

<ul><li>Ensuring the overall health of the SOC data platform, analytics engines, machine learning models, and AI-assisted detection systems.</li></ul>

<ul><li>Manage verification, validation, tuning, and quality of security telemetry including logs, NetFlow/IPFIX, EDR data, threat intelligence feeds and other SOC data sources.</li></ul>

<ul><li>Develop, train, validate and tune machine learning and analytics models used for:</li></ul>

<ul><li>Anomaly detection</li></ul>

<ul><li>Threat classification</li></ul>

<ul><li>Behavioral analysis</li></ul>

<ul><li>Alert prioritization and risk scoring</li></ul>

<ul><li>Deploy and tune detection models and analytic use cases driven by security intelligence, threat hunting and incident response requirements.</li></ul>

<ul><li>Implement analytic use cases as required by Security Intelligence, Tier-2 and Tier-3 teams.</li></ul>

<ul><li>Manage and coordinate data source onboarding, integration, normalization, enrichment and troubleshooting for all SOC telemetry sources.</li></ul>

<ul><li>Manage access and permissions for data platforms, analytics environments and AI systems used by the SOC.</li></ul>

<ul><li>Ensure that security data sources are correctly feeding the analytics and AI platforms.</li></ul>

<ul><li>Generate analytical reports, dashboards and model outputs as required by SOC management, threat hunting and incident response teams.</li></ul>

<ul><li>Configuration, management, performance tuning and capacity planning of SOC data, analytics and AI platforms.</li></ul>

<ul><li>Support proof-of-concepts (POCs) for new SOC data sources, analytics techniques and AI-driven security capabilities.</li></ul>

<ul><li>Review vendor, open-source and research developments in security analytics, machine learning and AI relevant to SOC operations.</li></ul>

<ul><li>Should have good knowledge of systems, solutions and security tools and skills as follows:</li></ul>

<ul><li>Knowledge of MS Windows and UNIX-based systems.</li></ul>

<ul><li>Knowledge of data engineering and big-data platforms (data pipelines, stream processing, data lakes).</li></ul>

<ul><li>Knowledge of security telemetry including SIEM data models, NetFlow/IPFIX, EDR telemetry and threat intelligence formats.</li></ul>

<ul><li>Knowledge of machine learning and analytics techniques including anomaly detection, classification, clustering and statistical modeling.</li></ul>

<ul><li>Knowledge of AI-driven SOC technologies including LLM-based assistants, automated enrichment and detection analytics.</li></ul>

<ul><li>Familiarity with MITRE ATT&amp;CK, incident response lifecycle and threat hunting methodologies.</li></ul>

<ul><li>Problem-solving skills to identify data quality, detection gaps and model performance issues.</li></ul>

<ul><li>Communication with SOC teams (Tier-1, Tier-2, Tier-3) to align analytics and AI capabilities with operational needs.</li></ul>

<ul><li>Communication with vendors and data providers related to SOC analytics, telemetry and AI platforms.</li></ul>

Required certifications in:

<ul><li>Data engineering, analytics or AI platforms (Cloudera, Databricks, AWS, Azure, GCP, etc.)</li></ul></div>

CSOC Data Analyst L2

Team Moxim

Job Opportunity: AI Solutions ArchitectLocation: Mesaieed, Qatar Company: Team MoximAbout UsTeam Moxim is a cutting-edge technology company specializing in artificial intelligence, machine learning, and digital transformation solutions. With a strong presence in Mesaieed, we empower businesses to harness AI for smarter decision-making, operational efficiency, and innovation. As we expand, we are seeking a visionary AI Solutions Architect to design and deliver advanced AI-driven systems.Role OverviewWe are looking for an AI Solutions Architect to lead the design, development, and deployment of AI solutions. This role requires a professional with deep expertise in AI technologies, cloud platforms, and enterprise integration. You will be responsible for shaping Team Moxim&rsquo;s AI strategy, ensuring scalable solutions, and driving innovation across industries.Key Responsibilities<ul><li>Design and architect AI solutions tailored to client needs.</li><li>Oversee development and deployment of machine learning models and AI applications.</li><li>Collaborate with business leaders and technical teams to align AI strategy with organizational goals.</li><li>Ensure compliance with data governance, security standards, and ethical AI practices.</li><li>Monitor KPIs, system performance, and solution effectiveness.</li><li>Manage resources, budgets, and vendor relationships.</li><li>Lead and mentor AI engineers and data scientists.</li><li>Represent Team Moxim in AI industry forums, conferences, and professional networks.</li></ul>Qualifications<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Artificial Intelligence, Data Science, or related field.</li><li>8+ years of experience in AI/ML solution design, with at least 3 years in an architect-level role.</li><li>Strong knowledge of machine learning frameworks (TensorFlow, PyTorch, Scikit-learn).</li><li>Experience with cloud platforms (AWS, Azure, Google Cloud) and enterprise integration.</li><li>Proven track record of delivering scalable AI solutions.</li><li>Excellent leadership, organizational, and communication skills.</li><li>Ability to thrive in a fast-paced, innovation-driven environment.</li></ul>Why Join Us?<ul><li>Lead AI initiatives at one of Qatar&rsquo;s premier technology innovators.</li><li>Play a key role in shaping Team Moxim&rsquo;s digital future.</li><li>Competitive salary and benefits package.</li><li>Opportunities for career growth and professional development.</li><li>Collaborative and forward-thinking work culture.</li></ul>Pay: Up to QAR32,000.00 per monthWork Location: In person

AI Solutions Architect

Al Adyat consultancy

Job Profile: AI Expert for Plant Data Model (PDM Project)Job SummaryWe are seeking a highly skilled AI Expert to design, build, and operationalize AI/ML solutions that deliver measurable business outcomes. The ideal candidate combines deep machine learning expertise with strong software engineering practices, MLOps proficiency, and stakeholder collaboration. This role will lead end-to-end projects&mdash;from problem framing and data acquisition to model development, deployment, monitoring, and continuous improvement&mdash;while ensuring compliance with security, privacy, and governance policies.Key Responsibilities&middot; Partner with business stakeholders to translate strategic objectives into AI use cases with clear KPIs and ROI.&middot; Own the full ML lifecycle: data sourcing, feature engineering, model selection, training, evaluation, and production deployment.&middot; Implement robust MLOps: CI/CD for ML, model registry, automated testing, reproducible pipelines, and monitoring (drift, performance, fairness).&middot; Design scalable data/feature pipelines using best practices for data quality, lineage, and governance.&middot; Develop models across domains (e.g., predictive analytics, time series, NLP, computer vision, recommender systems).&middot; Optimize models for efficiency and cost across CPU/GPU, leveraging quantization, distillation, or serving optimizations.&middot; Deploy and maintain models on cloud and on-prem platforms; orchestrate with containers and microservices (Docker/Kubernetes).&middot; Establish and enforce responsible AI practices: privacy-preserving methods, bias detection/mitigation, explainability, and secure handling of data.&middot; Produce high-quality documentation: design docs, runbooks, experiment logs, and user guides; present results to technical and non-technical audiences.&middot; Mentor engineers and analysts; contribute to standards, templates, and reusable components within the AI platform.Minimum Qualifications&middot; Bachelor&rsquo;s degree in computer science, Data Science, Engineering, Mathematics, or related field (or equivalent experience).&middot; 5+ years building and deploying ML models in production environments.&middot; Strong programming skills in Python and experience with ML frameworks (e.g., scikit-learn, TensorFlow, PyTorch).&middot; Hands-on experience with data processing frameworks (e.g., Pandas, Spark), SQL/NoSQL databases, and feature stores.&middot; Proficiency in MLOps tooling (e.g., MLflow, DVC, Kubeflow, Airflow) and CI/CD for ML.&middot; Experience deploying to cloud platforms (e.g., Azure Machine Learning, AWS SageMaker, GCP Vertex AI) and container orchestration (Docker/Kubernetes).&middot; Solid understanding of statistics, experiment design (A/B testing), and model validation techniques.&middot; Excellent communication and stakeholder management skills; ability to articulate complex concepts clearly.Preferred Qualifications&middot; Master&rsquo;s or PhD in a quantitative field.&middot; Experience with NLP (transformers, LLMs, RAG) and computer vision (CNNs, detection/segmentation).&middot; Exposure to time-series forecasting, optimization, and reinforcement learning for industrial use cases.&middot; Experience with Azure ecosystem (Azure ML, Databricks, Data Factory, Synapse) and enterprise integration patterns.&middot; Familiarity with privacy-preserving techniques (differential privacy, federated learning) and model interpretability (SHAP, LIME).&middot; Track record of delivering AI solutions in manufacturing, energy, or operations (e.g., predictive maintenance, process optimization).Technical Stack &amp; Tools&middot; Languages: Python (preferred), SQL; familiarity with C++/Java is a plus.&middot; ML/AI: scikit-learn, TensorFlow, PyTorch, XGBoost, Hugging Face; experiment tracking (MLflow).&middot; Data: Pandas, Spark, Delta/Parquet; data versioning (DVC); feature stores.&middot; Pipelines &amp; Orchestration: Airflow, Prefect, Kubeflow; Docker/Kubernetes for serving.&middot; Monitoring &amp; Observability: Prometheus/Grafana; model drift/performance monitoring tools.&middot; DevOps: Git, GitHub/GitLab, CI/CD, testing frameworks (pytest).&middot; Cloud: Azure (preferred), AWS, GCP; serverless and managed ML services.Core Competencies &amp; Soft Skills&middot; Business acumen with the ability to prioritize use cases based on value and feasibility.&middot; Structured problem solving and hypothesis-driven experimentation.&middot; Clear written and verbal communication, storytelling with data, and visualization skills.&middot; Collaboration and mentorship across cross-functional teams (engineering, operations, compliance).&middot; Ownership mindset with a focus on reliability, safety, and continuous improvement.AI Governance, Security &amp; Compliance&middot; Adhere to corporate data governance policies, security standards, and regulatory requirements (e.g., GDPR where applicable).&middot; Implement role-based access controls, encryption, secure secrets management, and audit trails across the ML stack.&middot; Ensure models meet fairness, transparency, and explainability guidelines; conduct regular risk assessments and reviews.Success Criteria &amp; KPIs&middot; Cycle time from ideation to production (weeks).&middot; Model performance against business KPIs (e.g., accuracy, precision/recall, uplift, cost savings).&middot; Operational reliability (SLA adherence, downtime, incident rate).&middot; Adoption and user satisfaction for AI-enabled products and workflows.Compliance metrics (governance checks passed, audits completed).Job Type: Full-timePay: From QAR15,000.00 per monthEducation:<ul><li>Bachelor's (Required)</li></ul>Experience:<ul><li>AI Expert for Plant Data Model (PDM Project) : 3 years (Required)</li></ul>Language:<ul><li>Arabic (Required)</li><li>English (Required)</li></ul>License/Certification:<ul><li>degree in computer science, Data Science (Required)</li></ul>Location:<ul><li>Doha (Required)</li></ul>

AI Expert for Plant Data Model (PDM Project)

Oliver Wyman

<div>
 
 Who We Are
 
 
 
 At Oliver Wyman, a Marsh (NYSE: MRSH) business, we bring deep industry insight, bold innovation, and a collaborative approach that cuts through complexity to help organizations navigate their most defining transformative moments.
 
 
 As a business of Marsh, we work alongside the world&rsquo;s leading experts across risk, reinsurance and capital, people and investments, and management consulting. Together with Marsh Risk, Guy Carpenter, and Mercer, we help organizations build resilience and competitive advantages from every angle. With annual revenue over $24 billion and more than 90,000 colleagues in 130 countries, Marsh helps build the confidence to thrive through the power of perspective.
 
 
 For more information, visit oliverwyman.com, or follow us on LinkedIn and X.
 
 
 
 Why join us?
 
 
 
 <ul>
 <li>
 Opportunities in Dubai, Doha and Riyadh offices.
 </li>
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 Come aboard if you are excited by challenges and want to work across different cultures.
 </li>
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 We want you to step out of your comfort zone and embrace your curiosity.
 </li>
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 Our consultants learn on the job and receive formal training to develop their communication, presentation, analytical, and client management skills.
 </li>
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 You&rsquo;ll find genuine colleagues who stand by their beliefs and measure success by the lasting impact you create together.
 </li>
 <li>
 We believe in flexibility, including the opportunity of hybrid working. You are also invited to join our employee resource groups and social activities
 
 
 </li>
 </ul>
 
 Who can apply?
 
 
 
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 <li>
 2027 Graduates
 </li>
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 2 to 6 months internship (we are offering COOP)
 </li>
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 Candidates in their penultimate year of their graduation
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 Recruitment Process: Screening + Online test + HR Interview + Case Interviews
 
 
 </li>
 </ul>
 
 As an Intern you will:
 
 
 
 <ul>
 <li>
 Work in teams to solve high level business problems facing Global 1000 clients
 </li>
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 Carry out essential research and analysis
 </li>
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 Help with complex quantitative, strategic and financial analyses of corporations and businesses
 </li>
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 Receive support to develop leadership and client management skills
 </li>
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 Gain broad exposure within consulting services to a variety of industries: Automotive, Aviation, Communications, Media, Retail, Surface Transportation, Public Sector, Telecom, Financial Services, Energy, Digital and Health &amp; Life Sciences.
 
 
 </li>
 </ul>
 
 Immediate impact, continuous challenge
 
 
 
 <ul>
 <li>
 You&rsquo;ll work on challenging projects that have a significant impact on clients, industries, and societies from day one.
 </li>
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 We&rsquo;ll ask you to be brave, challenging the status quo and constantly striving to build something new to shape our firm and the world around us.
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 You&rsquo;ll be a contributing team member from the start, building trust-based relationships with stakeholders and delivering breakthrough impact.
 </li>
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 Your learning curve will be steep, with each project offering new opportunities to expand your toolkit and to team with specialists who have deep subject-matter and technical expertise.
 </li>
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 You&rsquo;ll likely have the chance to travel within your home market and internationally. No two weeks are ever the same.
 
 
 </li>
 </ul>
 
 Chart your course; we support the journey
 
 
 
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 <li>
 You&rsquo;ll have the opportunity to work on projects across all our industries and capabilities and will be able to specialize early or leave it until several years in.
 </li>
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 Various colleagues will guide and coach you throughout your career, including a dedicated buddy, a career adviser, and your talent manager.
 </li>
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 We care deeply about sustainable work-life quality and provide for career flexibility with a variety of programs including sabbaticals, non-profit fellowships, and externships.
 
 
 </li>
 </ul>
 
 We hire you to be you
 
 
 
 <ul>
 <li>
 Our open, inclusive, and down-to-earth culture will enable you to bring your best authentic self to work.
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 You&rsquo;ll work alongside down-to-earth colleagues who do serious work, but don&rsquo;t take themselves too seriously.
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 There&rsquo;s no corporate mold to fit and hierarchy doesn&rsquo;t get in the way.
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 We do not let artificial barriers stand in the way of your personal career progression.
 
 
 </li>
 </ul>
 Oliver Wyman is a business of Marsh (NYSE: MRSH), a global leader in risk, reinsurance and capital, people and investments, and management consulting, advising clients in 130 countries. With annual revenue of over $27 billion and more than 95,000 colleagues, Marsh helps build the confidence to thrive through the power of perspective. For more information, visit oliverwyman.com, or follow us on LinkedIn and X.
 
 
 Marsh is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, disability, ethnic origin, family duties, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, skin color, or any other characteristic protected by applicable law.
 
 
 
 R_325948
 
</div>

OLIVER WYMAN - INTERNSHIP MIDDLE EAST 2026

Rich chocolatier

Job Title: Barista (Female)Location: Qatar Employment Type: Full-timeJob SummaryWe are looking for an experienced Barista for our coffee operations, maintain high beverage standards, and supervise junior barista staff. The ideal candidate will have strong technical skills in coffee preparation and machine calibration, and experience supporting occasional events.Key Responsibilities<ul><li>Prepare and serve high-quality coffee and specialty beverages consistently</li><li>Perform espresso machine and grinder calibration, maintenance, and quality control</li><li>Ensure compliance with hygiene, safety, and food handling standards</li><li>Manage daily bar operations, stock control, and workflow efficiency</li><li>Assist with occasional events or catering services as required</li><li>Handle customer feedback professionally and maintain excellent service standards</li></ul>Requirements<ul><li>Minimum 4 years of experience as a Barista, with experience in a supervisory or head role</li><li>Strong knowledge of espresso machines, grinders, and calibration techniques</li><li>Proven ability to manage, train, and motivate junior staff</li><li>Experience supporting events or off-site coffee service is an advantage</li><li>Good communication and organizational skills</li><li>Ability to work flexible hours, including weekends or events when needed</li><li>Male candidates only (as per operational requirements)</li></ul>Interested candidates may apply via Indeed with an updated CV.Job Types: Full-time, PermanentPay: QAR3,000.00 - QAR3,500.00 per monthWork Location: In person

BARISTA - Female (joining immediately)

Galileo International School

JOB DESCRIPTION &ndash; CLASS TEACHERPosition: Class Teacher School: Galileo International School Curriculum: Central Board of Secondary Education (CBSE) Location: Doha, Qatar Reports To: Principal / Vice Principal / Academic CoordinatorQualification : BA English &amp; BedJob PurposeThe Class Teacher is responsible for managing the academic, social, and emotional development of students assigned to their class. The teacher delivers curriculum content as per CBSE guidelines, maintains a positive learning environment, and ensures the overall well-being and discipline of students.Key Responsibilities1. Teaching and Learning<ul><li>Plan and deliver lessons in accordance with the CBSE curriculum guidelines.</li><li>Prepare lesson plans, teaching materials, and assessments to support effective learning.</li><li>Use different teaching strategies to meet the diverse learning needs of students.</li><li>Integrate technology and modern teaching methods in classroom instruction.</li></ul>2. Classroom Management<ul><li>Maintain discipline and ensure a safe and supportive classroom environment.</li><li>Monitor student behavior and encourage positive attitudes toward learning.</li><li>Establish clear classroom rules and expectations.</li></ul>3. Student Development<ul><li>Monitor students&rsquo; academic progress and provide necessary guidance and support.</li><li>Identify learning difficulties and coordinate with parents and school management when required.</li><li>Encourage students&rsquo; participation in academic and extracurricular activities.</li></ul>4. Assessment and Evaluation<ul><li>Conduct regular assessments including tests, assignments, and class activities.</li><li>Maintain accurate records of students&rsquo; academic performance and attendance.</li><li>Prepare report cards and progress reports as required by the school.</li></ul>5. Communication<ul><li>Maintain regular communication with parents regarding student progress and behavior.</li><li>Attend Parent&ndash;Teacher Meetings and provide constructive feedback to parents.</li><li>Coordinate with other teachers and school staff to support student learning.</li></ul>6. Administrative Responsibilities<ul><li>Maintain class registers, attendance records, and student files.</li><li>Assist in organizing school events, activities, and examinations.</li><li>Follow school policies and CBSE regulations.</li></ul>7. Professional Development<ul><li>Participate in training sessions, workshops, and professional development programs.</li><li>Stay updated with current teaching methodologies and CBSE educational standards.</li></ul>Job Type: Full-timePay: QAR3,000.00 - QAR3,500.00 per month

Class Teacher-English

University of Doha for Science & Technology

<div>
 
 
 Overview
 
 
 
 
 University of Doha for Science and Technology (UDST) was officially established by the Emiri Decision No13 of 2022, and it is the first national university specializing in academic applied, technical, and professional education in the State of Qatar. UDST has over 70 bachelor's and master's degree programs, diplomas, and certificates. The university houses 5 colleges: The College of Business, the College of Computing and Information Technology, the College of Engineering and Technology, the College of Health Sciences, and the College of General Education, in addition to specialized training centers for individuals and companies. UDST is recognized for its student-centered learning and state-of-the-art facilities. Its world-renowned faculty and researchers work on developing the students&rsquo; skills and help raise well-equipped graduates who proudly serve different sectors of the economy and contribute to achieving human, social, and economic development goals nationally and internationally.
 
 
 With more than 700 staff and over 8,000 students, UDST is the destination of choice for applied and experiential learning. The University is recognized for its student-centered learning and state-of-the-art facilities. Our faculty are committed to delivering pedagogically-sound learning experiences that incorporate innovative learning technologies. Our aim is to enhance students&rsquo; skills and help develop talented graduates who can effectively contribute to a knowledge-based economy and make Qatar&rsquo;s National Vision 2030 a reality.
 
 
 Our eligible employees enjoy competitive compensation and benefits, in accordance with applicable UDST policies. These benefits include:
 
 
 <ul>
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 Generous academic annual leave
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 Tax free salary
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 Fully furnished upmarket accommodation (inclusive of utilities: water &amp; electricity)
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 Annual flights for spouse and 3 children (up to 18 years old)
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 Children&rsquo;s education allowance
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 Relocation/Shipping allowance
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 Professional development opportunities
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 International health insurance
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 In-house immigration services (to help you through the residency process)
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 Full access to our recreational facilities
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 Research and professional development support
 
 
 </li>
 </ul>
 The College of Computing and Information Technology invites applications for the position Assistant/ Associate Professor in Information Technology. Exceptional candidates at the rank of Full Professor would also be considered.
 
 
 
 
 Responsibilities
 
 
 
 
 The primary role of the faculty members at the College of Computing and IT is to promote high-quality innovative learning, applied research, and service. Besides, he/she should collaborate with the Head of Department, Dean, and the colleagues to achieve the college's mission, mentor junior colleagues, and teaching assistants, and support the department and the college with several administrative and academic services.
 
 
 Reporting to the Department Head, the successful candidate will be responsible for the development, delivery and evaluation of a broad range of courses. Particular areas of interest include Computer Systems, Network Systems and Administration, SDN, Cloud and Edge Computing; but candidates with strong expertise in other related areas will also be considered.
 
 
 Other duties include evaluation of student progress and management of resources of the learning environment. The successful candidate will liaise with industry and other educational institutions; participate in industry advisory committees and coordinate, manage and control projects within the specified program area. Faculty members will keep course portfolio documents required for accreditation processes and engage in instructional development/improvement plans. All employees are expected to contribute to professional and community life within the university and beyond.
 
 
 
 
 Qualifications
 
 
 
 
 
 Education and Experience Requirements
 
 
 
 Faculty members will be placed in the appropriate rank based on their education and experience (academic and/or industry). The broad criteria are provided below.
 
 
 
 Education
 
 
 
 PhD in a computing field such as Computer Science, Computer Engineering, Information Technology, or closely related field from an internationally recognized university with an undergraduate degree from an accredited university.
 
 
 
 For Assistant Professor
 
 
 
 
 
 Experience
 
 
 
 
 <ul>
 <li>
 A minimum of 3 years teaching experience in a post-secondary, adult training or industry training environment, along with preferably 3 years of employment experience as a practitioner/professional within the relevant discipline.
 </li>
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 A distinguished research record and international reputation evidenced by high quality publications in top tier journals.
 </li>
 <li>
 Excellent record of supervising high caliber research students.
 </li>
 <li>
 Demonstrated leadership in building engagement and partnership with the profession and industry.
 
 
 </li>
 </ul>
 
 
 Preferred Qualifications
 
 
 
 
 <ul>
 <li>
 Professional Certifications in Computing and Information Technology.
 </li>
 <li>
 Diploma in Education (e.g. Post-secondary Education, Adult Education or Vocational Education) is preferred.
 </li>
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 6+ years of employment experience as a practitioner/professional within the relevant discipline.
 </li>
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 Teaching experience in post-secondary, adult training, or industry training environment.
 </li>
 <li>
 Experience in leadership and innovation in technology-based projects.
 
 
 </li>
 </ul>
 
 For Associate Professor
 
 
 
 
 
 Experience
 
 
 
 
 <ul>
 <li>
 A minimum of 8 years teaching experience in a post-secondary, adult training or industry training environment, along with preferably 3 years of employment experience as a practitioner/ professional within the relevant discipline.
 </li>
 <li>
 A distinguished research record and international reputation evidenced by high quality publications in top tier journals.
 </li>
 <li>
 Excellent record of supervising research students.
 </li>
 <li>
 Demonstrated leadership in building engagement and partnership with the profession and industry.
 
 
 </li>
 </ul>
 
 
 Preferred Qualifications
 
 
 
 
 <ul>
 <li>
 Professional Certifications in Computing and Information Technology.
 </li>
 <li>
 Diploma in Education (e.g. Post-secondary Education, Adult Education or Vocational Education) is preferred.
 </li>
 <li>
 10+ years of employment experience as a practitioner/professional within the relevant discipline.
 </li>
 <li>
 Teaching experience in post-secondary, adult training, or industry training environment.
 </li>
 <li>
 Experience in leadership and innovation in technology-based projects.
 
 
 </li>
 </ul>
 
 
 Other Required Skills:
 
 
 
 
 <ul>
 <li>
 A thorough knowledge and work experience in different areas of Computing and IT systems.
 </li>
 <li>
 Commitment to applied and experiential learning as a pedagogy and a key feature of UDST&rsquo;s mandate.
 </li>
 <li>
 Ability to design, develop, deliver, and evaluate authentic learning experiences and assessments. These should incorporate contemporary tools and resources to maximize content learning in context, and to develop the knowledge, skills, competences and attitudes identified in program outcomes.
 </li>
 <li>
 Digital literacy and demonstrated fluency in technology systems, and an ability to model and facilitate use of current and emerging digital tools to support research and learning.
 </li>
 <li>
 Demonstrated ability to develop technology-enriched learning environments that enable students to be active participants in their own learning.
 </li>
 <li>
 Commitment to the effectiveness, vitality, and self-renewal of the teaching profession through self-driven continuous professional development and life-long learning.
 </li>
 <li>
 Effective oral and written communication skills.
 </li>
 <li>
 Collaborative and collegial spirit and a demonstrated ability to establish rapport with learners, colleagues, sponsor-employers, and members of the community.
 </li>
 <li>
 Ability to initiate applied research projects.
 
 
 </li>
 </ul>
 
 
 How To Apply
 
 
 
 
 Applicants must meet all essential qualifications in order to be shortlisted for the position; other qualifications may be a deciding factor in selection. Qualifications and experience will be assessed through your application, which may include but not be limited to curricula vitae, mock lectures , motivation letter, references, teaching dossiers and sample publications. It is the applicant&rsquo;s responsibility to provide appropriate examples that illustrate how s/he meets each requirement. Failing to do so could result in the application being rejected. We thank all applicants for applying for the role; only those selected for further consideration will be contacted.
</div>

Assistant/Associate Professor Information Technology

Explore 22+ Machine learning intern in Doha this April. Find roles across top companies and apply now to boost your career.