Qureos Mentor

University of Doha for Science & Technology

<div>
 
 Overview
 
 
 
 University of Doha for Science and Technology (UDST) is the first national applied University in the State of Qatar, offering applied bachelor&rsquo;s and master&rsquo;s degrees in addition to certificates and diplomas in various fields. UDST has over 50 programs in the fields of Engineering Technology and Industrial Trades, Business Management, Computing and Information Technology, Health Sciences, Continuing and Professional Education and more.
 
 
 With more than 700 staff and over 8,000 students, UDST is the destination for top-notch applied and experiential learning. The University is recognized for its student-centred learning and state-of-the-art facilities. Our faculty are committed to delivering pedagogically-sound learning experiences with the incorporation of innovative technological interventions, to further enhance students&rsquo; skills and help develop talented graduates that can effectively contribute to a knowledge-based economy and make Qatar&rsquo;s National Vision 2030 a reality.
 
 
 We are seeking a highly motivated Research Associate to join a collaborative research project between the University of Doha for Science and Technology (UDST) and a leading technology-driven business in Qatar. The ideal candidate will have a strong background in data engineering, machine learning, forecasting, and MLOps, with experience in building scalable data infrastructure and deploying predictive models into production environments.
 
 
 
 Responsibilities
 
 
 
 
 Key Responsibilities:
 
 
 
 <ul>
 <li>
 Data Infrastructure &amp; Collection
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 Design and implement ETL pipelines for data ingestion and transformation.
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 Perform data audits, implement quality checks, and maintain comprehensive data documentation.
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 Forecasting Module Development
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 Develop and benchmark advanced time-series forecasting models.
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 Train and fine-tune models with scalable frameworks, ensuring performance against business KPIs.
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 Prototype, validate, and document predictive models.
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 Microservices, MLOps &amp; Deployment
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 Integrate forecasting modules with feature stores and existing data pipelines.
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 Containerize models using Docker and set up CI/CD pipelines for deployment.
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 Implement monitoring dashboards, drift detection, and alerts to ensure reliable system performance.
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 Documentation &amp; Knowledge Transfer
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 Prepare full technical documentation, including API specifications and user guides.
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 Develop training materials, workshops, and modules for knowledge transfer.
 
 
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 </ul>
 
 Qualifications
 
 
 
 <ul>
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 Educational Background:
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 Ph.D. in Computer Science, Data Engineering, Machine Learning, or a related field, OR
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 Master&rsquo;s degree in Computer Science/Engineering with at least 3 years of industry experience in Data Infrastructure, Forecasting, and MLOps.
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 Technical Expertise:
 </li>
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 Strong knowledge of time-series forecasting, machine learning, and predictive analytics.
 </li>
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 Proficiency in ETL pipelines, data quality assurance, and integration of external datasets.
 </li>
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 Hands-on experience with MLOps tools (Docker, CI/CD, monitoring, drift detection).
 </li>
 <li>
 Familiarity with cloud-based environments (AWS, GCP, or Azure) is highly desirable.
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 Programming Skills: Strong programming skills in languages such as Python or R. Familiarity with machine learning libraries and frameworks (e.g., Scikit-Learn, TensorFlow, PyTorch) is a must.
 </li>
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 Analytical Skills: Demonstrated ability to analyze complex datasets and develop data-driven solutions.
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 Communication Skills: Excellent written and verbal communication skills, with the ability to convey complex technical concepts to non-technical audiences.
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 Team Collaboration: Proven experience working in collaborative team environments and managing multiple tasks effectively.
 </li>
 </ul>
</div>

Research Associate -AI-Data Science & Forecast Specialist

<div>
 
 Overview
 
 
 
 University of Doha for Science and Technology (UDST) is the first national applied University in the State of Qatar, offering applied bachelor&rsquo;s and master&rsquo;s degrees in addition to certificates and diplomas in various fields. UDST has over 50 programs in the fields of Engineering Technology and Industrial Trades, Business Management, Computing and Information Technology, Health Sciences, Continuing and Professional Education and more.
 
 
 With more than 700 staff and over 8,000 students, UDST is the destination for top-notch applied and experiential learning. The University is recognized for its student-centred learning and state-of-the-art facilities. Our faculty are committed to delivering pedagogically-sound learning experiences with the incorporation of innovative technological interventions, to further enhance students&rsquo; skills and help develop talented graduates that can effectively contribute to a knowledge-based economy and make Qatar&rsquo;s National Vision 2030 a reality.
 
 
 We are seeking a highly motivated Research Associate to join a collaborative research project between the University of Doha for Science and Technology (UDST) and a leading technology-driven business in Qatar. The ideal candidate will have a strong background in reinforcement learning, optimization, recommender systems, and applied machine learning, with a focus on developing advanced algorithms for inventory management and personalized customer experiences.
 
 
 
 Responsibilities
 
 
 
 
 Key Responsibilities:
 
 
 
 <ul>
 <li>
 Development of an Inventory Optimization Module
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 Conduct research on safety stock management and reinforcement learning (RL) approaches.
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 Prototype RL-driven inventory optimization algorithms.
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 Integrate inventory optimization models with demand forecasting systems.
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 Recommender System Development
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 Develop context-aware recommender systems using knowledge graphs and session encoding techniques.
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 Prototype and validate recommender algorithms for personalized recommendations.
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 Integrate recommender models with inventory and forecasting systems.
 </li>
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 Microservices, MLOps &amp; Deployment
 </li>
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 Deploy RL optimizers and recommender systems as microservices.
 </li>
 <li>
 Build CI/CD pipelines for scalable and reliable deployment.
 </li>
 <li>
 Implement monitoring dashboards, drift detection, and performance alerts.
 </li>
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 Documentation, Training &amp; Academic Output
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 Prepare technical documentation, API specifications, and system user guides.
 </li>
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 Contribute to case studies, final reports, and academic publications/patents.
 
 
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 </ul>
 
 Qualifications
 
 
 
 
 Qualifications
 
 
 
 <ul>
 <li>
 Educational Background:
 </li>
 </ul>
 <ul>
 <li>
 </li>
 <ul>
 <li>
 Ph.D. in Computer Science, Operations Research, AI, or a related field, OR
 </li>
 <li>
 Master&rsquo;s degree in Computer Science/Engineering with at least 3 years of experience in optimization, recommender systems, or reinforcement learning.
 </li>
 <li>
 Technical Expertise:
 
 
 </li>
 </ul>
 </ul>
 <ul>
 <li>
 </li>
 <ul>
 <li>
 Strong knowledge of reinforcement learning, optimization algorithms, and recommender systems.
 </li>
 <li>
 Experience with simulation and A/B testing methodologies.
 </li>
 <li>
 Familiarity with knowledge graphs, session-based recommendation, and personalization techniques.
 </li>
 <li>
 Proficiency in deploying ML models as microservices and applying MLOps best practices
 </li>
 <li>
 Programming Skills:
 
 
 </li>
 </ul>
 </ul>
 <ul>
 <li>
 </li>
 <ul>
 <li>
 Strong programming skills in languages such as Python or R.
 </li>
 <li>
 Familiarity with machine learning libraries and frameworks (e.g., Scikit-Learn, TensorFlow, PyTorch) is a must.
 </li>
 <li>
 Analytical Skills/ Communication Skills:
 
 
 </li>
 </ul>
 </ul>
 <li>
 </li>
 <ul>
 <li>
 Ability to design, prototype, and validate optimization and recommendation algorithms.
 </li>
 <li>
 Strong documentation and presentation skills for both technical and non-technical stakeholders.
 </li>
 <li>
 Team Collaboration: Proven experience working in collaborative team environments and managing multiple tasks effectively.
 </li>
 </ul>
</div>

Research Associate – AI-Data Science with a focus on Inventory Optimization & Recommender Systems Specialist

<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 goalsnationally 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:
 
 
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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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 </ul>
 The College of Engineering and Technology invites applications for Lab Instructor position in the Marine Engineering Department at the Lab Instructor rank for Fall 2026.
 
 
 
 Responsibilities
 
 
 
 As an instructional faculty member, you will report to the Head of the Department and be responsible for supporting, delivering, and evaluating a broad range of courses within Marine Engineering and related diploma and degree programs. You will also evaluate student progress and manage the learning environment resources. The successful candidate will be expected to liaise with industry and other educational institutions, participate in industry advisory committees, and coordinate and support final year/capstone projects within the specified program area.
 
 
 You will keep course portfolio documents required for program review and accreditation processes and engage in instructional and new program development. The College encourages applications from instructional members who will also enhance innovation.
 
 
 
 Qualifications
 
 
 
 Instructional faculty members will be appointed in the appropriate rank based on their education and experience. The broad criteria are provided below.
 
 
 
 For Lab Instructor
 
 
 
 <ul>
 <li>
 A Bachelor&rsquo;s degree in Marine Engineering or a closely related field, specifically Naval Architecture, Mechanical Engineering, Propulsion Systems and Engine Control, and Thermofluids, from a recognized and accredited institution.
 
 
 </li>
 </ul>
 
 Experience
 
 
 
 <ul>
 <li>
 A minimum of three (3) years of full-time teaching and laboratory experience in upper secondary, post-secondary, or higher education institutions.
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 Competency in curriculum development, implementation, and evaluation.
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 Apply various teaching approaches in the classroom and for practice experiences, including the laboratory, simulation, and practicums.
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 Ability to use a variety of educational technology and platforms.
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 Demonstrate academic and information literacy skills.
 
 
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 </ul>
 
 Other Required Skills
 
 
 
 <ul>
 <li>
 Commitment to applied and experiential learning as a pedagogy and a key feature of UDST&rsquo;s mandate.
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 Ability to design, develop, deliver, and evaluate authentic learning experiences and assessments incorporating contemporary tools and resources to maximize content learning in context and to develop the knowledge, skills, and attitudes identified in program outcomes.
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 Digital literacy and demonstrated fluency in technology systems and an ability to model and facilitate the use of current and emerging digital tools to support research and learning.
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 Demonstrate ability to develop technology-enriched learning environments that enable students to participate in their learning actively.
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 Commitment to the teaching profession's effectiveness, vitality, and self-renewal through self-driven continuous professional development and life-long learning.
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 Effective oral and written communication skills.
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 Collaborative and collegial spirit and a demonstrated ability to establish rapport with learners, colleagues, sponsor-employers, and community members.
 
 
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 </ul>
 
 How To Apply
 
 
 
 Applicants must meet all essential qualifications to be shortlisted for the position; other qualifications may be a deciding factor in selection. Qualifications and experience will be assessed through your application, including but not limited to curricula vitae, cover letters, references and teaching dossiers. 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>

Lab Instructor (Marine Engineering)

Join University of Doha for Science & Technology and explore 3   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

University of Doha for Science & Technology

ABOUT_COMPANY

Research Associate -AI-Data Science & Forecast Specialist

Research Associate – AI-Data Science with a focus on Inventory Optimization & Recommender Systems Specialist

Lab Instructor (Marine Engineering)