15 AI Solutions jobs in Qatar

Talent Leaders is a Canadian-based Global Executive Search and HR Advisory firm with a strong presence across Qatar, UAE, and Saudi Arabia. Recognized for our deep industry networks and delivery excellence, we specialize in executive search, strategic hiring, and HR consulting for technology-driven roles. We have been exclusively mandated by one of our prestigious clients in Qatar—a prominent government-owned technology services entity—to identify and attract a high-caliber Presales Solutions Consultant – Data & AI.

Presales Solutions Consultant – Data & AI to support and drive solution development, opportunity qualification, and sales enablement in the data and AI space. This role is critical in shaping and delivering technically sound, innovative, and value-driven solutions that address complex client challenges. As a trusted advisor and subject matter expert, you will bridge the gap between technical strategy and business outcomes, with a strong focus on Microsoft Azure Data & AI and Databricks.

Key Responsibilities

• Act as the Data & AI subject matter expert, with core capabilities in data product modernization, analytics, and artificial intelligence
• Collaborate with sales teams to identify and qualify business opportunities across industries
• Understand and analyze customer requirements and map them to appropriate AI software products and platform capabilities
• Develop high-level and solution architectures that align with client business needs, leveraging Azure, Databricks, and OpenAI technologies
• Lead the creation and delivery of personalized technical presentations, demos, and proof of concepts (POCs)
• Produce recorded demonstrations, proposals, services SoWs, and detailed responses to RFPs, RFIs, compliance matrices, and value propositions
• Provide enablement support to internal teams and contribute to go-to-market strategies by applying thought leadership and market intelligence
• Champion data and AI solutions within the Microsoft Azure and Databricks ecosystems; actively contribute to opportunity and demand generation
• Participate in deep-dive client discussions and support consultative selling efforts with high technical fluency

Required Qualifications
Bachelor’s degree in Computer Science, Engineering, or a related field
Minimum of 5 years of technical presales or solution consulting experience, ideally within a system integrator or technology provider environment
Demonstrated experience in consultative and value-based selling, with prior exposure to client-facing roles
Proven hands-on experience in designing and/or implementing data & AI solutions using Microsoft Azure Data & AI, Databricks, OpenAI, ChatGPT, or Google Cloud Platform
Strong expertise in GenAI, including prompt engineering, fine-tuning models, and deploying LLM-driven use cases
Solid understanding of data platform architecture, ML lifecycle, MLOps, and POC delivery frameworks
Experience drafting technical documents, solution architectures, presentations, SoWs, and RFP responses
Exceptional communication and presentation skills, with mastery of written and spoken English

Desirable Skills & Certifications
Microsoft Azure AI Engineer Associate / Data Engineer Associate
Databricks Certified Data Engineer / Machine Learning Associate
Google Cloud Professional Data Engineer
Knowledge of Copilot integrations and OpenAI APIs

Why Join our Prestigious client in Qatar ?
Opportunity to shape large-scale national data and AI initiatives
Join a visionary government-owned enterprise with a commitment to innovation
Collaborate with highly skilled professionals in a forward-thinking, tech-driven environment

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Talent Leaders is

a Canadian-based Global Executive Search and HR Advisory firm with a strong presence across Qatar, UAE, and Saudi Arabia. Recognized for our deep industry networks and delivery excellence, we specialize in executive search, strategic hiring, and HR consulting for technology-driven roles. We have been

exclusively mandated by one of our prestigious clients in Qatar—a prominent government-owned technology services entity—to identify and attract a high-caliber Presales Solutions Consultant – Data & AI. Presales Solutions Consultant – Data & AI to support and drive solution development, opportunity qualification, and sales enablement in the data and AI space. This role is critical in shaping and delivering technically sound, innovative, and value-driven solutions that address complex client challenges. As a trusted advisor and subject matter expert, you will bridge the gap between technical strategy and business outcomes, with a strong focus on Microsoft Azure Data & AI and Databricks. Key Responsibilities Act as the Data & AI subject matter expert, with core capabilities in data product modernization, analytics, and artificial intelligence Collaborate with sales teams to identify and qualify business opportunities across industries Understand and analyze customer requirements and map them to appropriate AI software products and platform capabilities Develop high-level and solution architectures that align with client business needs, leveraging Azure, Databricks, and OpenAI technologies Lead the creation and delivery of personalized technical presentations, demos, and proof of concepts (POCs) Produce recorded demonstrations, proposals, services SoWs, and detailed responses to RFPs, RFIs, compliance matrices, and value propositions Provide enablement support to internal teams and contribute to go-to-market strategies by applying thought leadership and market intelligence Champion data and AI solutions within the Microsoft Azure and Databricks ecosystems; actively contribute to opportunity and demand generation Participate in deep-dive client discussions and support consultative selling efforts with high technical fluency Required Qualifications Bachelor’s degree in Computer Science, Engineering, or a related field Minimum of 5 years of technical presales or solution consulting experience, ideally within a system integrator or technology provider environment Demonstrated experience in consultative and value-based selling, with prior exposure to client-facing roles Proven hands-on experience in designing and/or implementing data & AI solutions using Microsoft Azure Data & AI, Databricks, OpenAI, ChatGPT, or Google Cloud Platform Strong expertise in GenAI, including prompt engineering, fine-tuning models, and deploying LLM-driven use cases Solid understanding of data platform architecture, ML lifecycle, MLOps, and POC delivery frameworks Experience drafting technical documents, solution architectures, presentations, SoWs, and RFP responses Exceptional communication and presentation skills, with mastery of written and spoken English Desirable Skills & Certifications Microsoft Azure AI Engineer Associate / Data Engineer Associate Databricks Certified Data Engineer / Machine Learning Associate Google Cloud Professional Data Engineer Knowledge of Copilot integrations and OpenAI APIs Why Join our Prestigious client in Qatar ? Opportunity to shape large-scale national data and AI initiatives Join a visionary government-owned enterprise with a commitment to innovation Collaborate with highly skilled professionals in a forward-thinking, tech-driven environment

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Job Summary

You will be responsible for end-to-end data science cycles, encompassing designing, training, implementing, evaluating, and monitoring machine learning models, and will also design and implement highly scalable tools and algorithms based on state-of-the-art Machine Learning and Deep Learning methodologies. Job Summary

You will be responsible for end-to-end data science cycles, encompassing designing, training, implementing, evaluating, and monitoring machine learning models, and will also design and implement highly scalable tools and algorithms based on state-of-the-art Machine Learning and Deep Learning methodologies.

You will work across the ML stack, from researching models, working with large datasets, training, and tuning existing models to creating new models, deploying them at scale, analyzing results, and presenting findings to stakeholders across tech and business domains.

Job Objectives

Develop and implement advanced predictive models to optimize customer experiences and other business outcomes Analyze large and complex datasets to extract actionable insights and drive business decisions Interpret results and provide actionable insights to guide real-time decision-making within the business context Collaborate with cross-functional teams to ensure proper deployment and integration of ML models for new releases

Job Responsibilities

Predictive Modeling and Deployment

Develop and implement advanced predictive models to forecast key business metrics such as sales, customer churn, or product demand Utilize predictive modeling to optimize customer experiences and other business outcomes Execute machine learning models, algorithms, and statistical techniques to analyze historical data and ensure scalability and efficiency

Data Preparation and Analysis

Develop and use advanced software programs, algorithms, and query techniques to cleanse, integrate, and evaluate datasets for model inputs Analyze large and complex datasets to extract actionable insights and identify trends and patterns that can drive business decisions Identify manual human processes, understand user behaviors, and analyze use cases that can be augmented or automated

Model Deployment and Interpretation

Deploy models into production environments and monitor their performance over time Apply statistical, mathematical, and predictive modeling techniques to build, maintain, and improve real-time decision systems Interpret results, develop insights within the business context, and provide guidance on risks and limitations

Development & Documentation

Write the code as per agreed software design rules to keep it aligned with the rest of the code base Code the final implementation that the generated code is referring to Follow company software data protection and security guidelines in developing software Accurately estimate the time needed to complete an assigned task Identify possible causes of issues or problems Think through and recommend solutions when raising issues around code, requirements, etc Write technical design documentation that fully defines all application code Maintain detailed knowledge of iHorizons products and services Understand the business impact for labs outcomes

Collaboration & Team Guidance

Stay updated on the latest research, learn new applications, tools, and technologies in the fields of data science and machine learning through intensive and focused effort Collaborate with technical and non-technical business partners to develop analytical dashboards describing ML algorithm findings to stakeholders Collaborate with other teams to perform code reviews and oversee proper deployment for new releases Actively mentor and support mid-level and junior developers in their professional growth Provide guidance on best practices in machine learning, code reviews, and project design Foster an inclusive and collaborative environment that encourages continuous learning and development within the team Oversee interactions with vendors and third-party service providers, including collaborating on the design and implementation of technical architectures, and acting as a point of contact for resolving technical issues. Maintain clear communication with internal stakeholders regarding vendor-related activities, updates, and issues to facilitate smooth collaboration and decision-making processes

Job Requirements

Educational Qualification

Bachelor's degree in data science, statistics, and computer science is a MUST

Previous Work Experience

3-4+ Years of experience in data science or machine learning Must have strong experience in at least one of the following areas: Vision models NLP models (Experience in Arabic NLP is a huge plus)

Skills And Abilities

Proficient in python, TensorFlow, keras and pytorch Good experience in: SQL and non-relational databases Data analytics reports generation ML model development deployment

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Job Summary

You will be responsible for end-to-end data science cycles, encompassing designing, training, implementing, evaluating, and monitoring machine learning models, and will also design and implement highly scalable tools and algorithms based on state-of-the-art Machine Learning and Deep Learning methodologies.

You will work across the ML stack, from researching models, working with large datasets, training, and tuning existing models to creating new models, deploying them at scale, analyzing results, and presenting findings to stakeholders across tech and business domains.

Reporting Structure

• This job reports to the Manager – AI.

Job Objectives

• Develop and implement advanced predictive models to optimize customer experiences and other business outcomes.

• Analyze large and complex datasets to extract actionable insights and drive business decisions.

• Interpret results and provide actionable insights to guide real-time decision-making within the business context.

• Collaborate with cross-functional teams to ensure proper deployment and integration of ML models for new releases.

Job Responsibilities

Predictive Modeling and Deployment

• Develop and implement advanced predictive models to forecast key business metrics such as sales, customer churn, or product demand.

• Utilize predictive modeling to optimize customer experiences and other business outcomes.

• Execute machine learning models, algorithms, and statistical techniques to analyze historical data and ensure scalability and efficiency.

Data Preparation and Analysis

• Develop and use advanced software programs, algorithms, and query techniques to cleanse, integrate, and evaluate datasets for model inputs.

• Analyze large and complex datasets to extract actionable insights and identify trends and patterns that can drive business decisions.

• Identify manual human processes, understand user behaviors, and analyze use cases that can be augmented or automated.

Model Deployment and Interpretation

• Deploy models into production environments and monitor their performance over time.

• Apply statistical, mathematical, and predictive modeling techniques to build, maintain, and improve real-time decision systems.

• Interpret results, develop insights within the business context, and provide guidance on risks and limitations.

Development & Documentation

• Write the code as per agreed software design rules to keep it aligned with the rest of the code base.

• Code the final implementation that the generated code is referring to.

• Follow company software data protection and security guidelines in developing software.

• Accurately estimate the time needed to complete an assigned task.

• Identify possible causes of issues or problems.

• Think through and recommend solutions when raising issues around code, requirements, etc.

• Write technical design documentation that fully defines all application code.

• Maintain detailed knowledge of iHorizons products and services.

• Understand the business impact for labs outcomes.

Collaboration & Team Guidance

• Stay updated on the latest research, learn new applications, tools, and technologies in the fields of data science and machine learning through intensive and focused effort.

• Collaborate with technical and non-technical business partners to develop analytical dashboards describing ML algorithm findings to stakeholders.

• Collaborate with other teams to perform code reviews and oversee proper deployment for new releases.

• Actively mentor and support mid-level and junior developers in their professional growth.

• Provide guidance on best practices in machine learning, code reviews, and project design.

• Conduct regular knowledge-sharing sessions, workshops, and one-on-one coaching to enhance the technical skills and problem-solving abilities of less experienced team members.

• Foster an inclusive and collaborative environment that encourages continuous learning and development within the team.

Job Requirements

Educational Qualification

• Bachelor's degree in data science, statistics, and computer science is a MUST.

Previous Work Experience

• 6+ Years of experience in data science or machine learning.

• Must have strong experience in at least one of the following areas:

• Vision models

• NLP models (Experience in Arabic NLP is a huge plus)

Skills and Abilities

• Proficient in python, TensorFlow, keras and pytorch.

• Good experience in:

• SQL and non-relational databases.

• Data analytics reports generation.

• ML model development deployment.

About iHorizons

iHorizons is a leading provider of business solutions and technology services in the Arab World. Headquartered in Doha, Qatar, we work with prominent clients to support their digital service migration journeys. The ultimate outcomes are radically improved customer experiences and increased operational efficiencies.

We are a forward-looking organization, always enhancing our methodologies and adopting new technologies so that we would serve our customers better and improve our position in the market. We have an outstanding culture, and we provide unique opportunities for career growth to all our staff.

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Job Summary You will be responsible for end-to-end data science cycles, encompassing designing, training, implementing, evaluating, and monitoring machine learning models, and will also design and implement highly scalable tools and algorithms based on state-of-the-art Machine Learning and Deep Learning methodologies. You will work across the ML stack, from researching models, working with large datasets, training, and tuning existing models to creating new models, deploying them at scale, analyzing results, and presenting findings to stakeholders across tech and business domains. Reporting Structure This job reports to the Manager – AI.

Job Objectives Develop and implement advanced predictive models to optimize customer experiences and other business outcomes.

Analyze large and complex datasets to extract actionable insights and drive business decisions.

Interpret results and provide actionable insights to guide real-time decision-making within the business context.

Collaborate with cross-functional teams to ensure proper deployment and integration of ML models for new releases.

Job Responsibilities Predictive Modeling and Deployment Develop and implement advanced predictive models to forecast key business metrics such as sales, customer churn, or product demand.

Utilize predictive modeling to optimize customer experiences and other business outcomes.

Execute machine learning models, algorithms, and statistical techniques to analyze historical data and ensure scalability and efficiency.

Data Preparation and Analysis Develop and use advanced software programs, algorithms, and query techniques to cleanse, integrate, and evaluate datasets for model inputs.

Analyze large and complex datasets to extract actionable insights and identify trends and patterns that can drive business decisions.

Identify manual human processes, understand user behaviors, and analyze use cases that can be augmented or automated.

Model Deployment and Interpretation Deploy models into production environments and monitor their performance over time.

Apply statistical, mathematical, and predictive modeling techniques to build, maintain, and improve real-time decision systems.

Interpret results, develop insights within the business context, and provide guidance on risks and limitations.

Development & Documentation Write the code as per agreed software design rules to keep it aligned with the rest of the code base.

Code the final implementation that the generated code is referring to.

Follow company software data protection and security guidelines in developing software.

Accurately estimate the time needed to complete an assigned task.

Identify possible causes of issues or problems.

Think through and recommend solutions when raising issues around code, requirements, etc.

Write technical design documentation that fully defines all application code.

Maintain detailed knowledge of iHorizons products and services.

Understand the business impact for labs outcomes.

Collaboration & Team Guidance Stay updated on the latest research, learn new applications, tools, and technologies in the fields of data science and machine learning through intensive and focused effort.

Collaborate with technical and non-technical business partners to develop analytical dashboards describing ML algorithm findings to stakeholders.

Collaborate with other teams to perform code reviews and oversee proper deployment for new releases.

Actively mentor and support mid-level and junior developers in their professional growth.

Provide guidance on best practices in machine learning, code reviews, and project design.

Conduct regular knowledge-sharing sessions, workshops, and one-on-one coaching to enhance the technical skills and problem-solving abilities of less experienced team members.

Foster an inclusive and collaborative environment that encourages continuous learning and development within the team.

Job Requirements Educational Qualification Bachelor's degree in data science, statistics, and computer science is a MUST.

Previous Work Experience 6+ Years of experience in data science or machine learning.

Must have strong experience in at least one of the following areas:

Vision models

NLP models (Experience in Arabic NLP is a huge plus)

Skills and Abilities Proficient in python, TensorFlow, keras and pytorch.

Good experience in:

SQL and non-relational databases.

Data analytics reports generation.

ML model development deployment.

About iHorizons iHorizons is a leading provider of business solutions and technology services in the Arab World. Headquartered in Doha, Qatar, we work with prominent clients to support their digital service migration journeys. The ultimate outcomes are radically improved customer experiences and increased operational efficiencies. We are a forward-looking organization, always enhancing our methodologies and adopting new technologies so that we would serve our customers better and improve our position in the market. We have an outstanding culture, and we provide unique opportunities for career growth to all our staff.

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Oryx Universal College in partnership with Liverpool John Moores University | Full time

Artifical Intelligence & Machine Learning Engineer

We are seeking a highly skilled and innovative Artificial Intelligence and Machine Learning Engineer to join our team. The ideal candidate will be responsible for designing, developing, and deploying AI and ML models that drive impactful solutions across various domains, including education, data analytics, automation, and smart systems. You will work alongside interdisciplinary teams to integrate cutting-edge technologies into practical applications, transforming data into intelligent action.

Key Responsibilities:

• Design, train, evaluate, and deploy machine learning and deep learning models
  
• Build and maintain scalable AI solutions for real-time or batch processing systems.
  
• Optimise model performance, including accuracy, latency, and resource consumption.
  
• Collaborate with data engineers and analysts to source, clean, and transform data.
  
• Apply advanced statistical and data mining techniques to extract meaningful patterns.
  
• Stay updated with the latest advancements in AI and ML technologies.
  
• Prototype innovative solutions, contribute to research publications, and recommend adoption of new frameworks.
  
• Systems Integration
  
• Develop APIs and services to integrate AI solutions into existing platforms or applications.
  
• Collaborate with software engineers and DevOps teams to ensure production-level stability.
  
• Work closely with academic and operational teams to understand business needs and translate them into technical solutions.
  
• Prepare documentation, reports, and presentation materials to communicate findings and methodologies.
  

Requirements Required Qualifications:

Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or related field (Master’s or PhD preferred).

Minimum 3 years of hands-on experience in AI/ML engineering or data science roles.

Proficient in Python and common ML libraries (e.g., TensorFlow, PyTorch, scikit-learn, Keras).

Strong understanding of machine learning algorithms, neural networks, natural language processing (NLP), and computer vision.

Experience in model deployment using cloud platforms (e.g., AWS, Azure, GCP) or containerised environments (Docker, Kubernetes).

Knowledge of MLOps tools and CI/CD pipelines for ML projects.

Familiarity with big data platforms (e.g., Spark, Hadoop).

Experience with academic or educational systems (LMS, AI in education) is a plus.

Demonstrated contributions to open-source projects, research publications, or hackathons.

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We are seeking a highly skilled and innovative Artificial Intelligence and Machine Learning Engineer to join our team. The ideal candidate will be responsible for designing, developing, and deploying AI and ML models that drive impactful solutions across various domains, including education, data analytics, automation, and smart systems. You will work alongside interdisciplinary teams to integrate cutting-edge technologies into practical applications, transforming data into intelligent action. Key Responsibilities:

Model Development & Deployment

Design, train, evaluate, and deploy machine learning and deep learning models. Build and maintain scalable AI solutions for real-time or batch processing systems. Optimize model performance, including accuracy, latency, and resource consumption.

Data Engineering & Processing

Collaborate with data engineers and analysts to source, clean, and transform data. Apply advanced statistical and data mining techniques to extract meaningful patterns.

Research & Innovation

Stay updated with the latest advancements in AI and ML technologies. Prototype innovative solutions, contribute to research publications, and recommend adoption of new frameworks.

Systems Integration

Develop APIs and services to integrate AI solutions into existing platforms or applications. Collaborate with software engineers and DevOps teams to ensure production-level stability.

Collaboration & Communication

Work closely with academic and operational teams to understand business needs and translate them into technical solutions. Prepare documentation, reports, and presentation materials to communicate findings and methodologies.

Requirements

Required Qualifications:

Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or related field (Master’s or PhD preferred). Minimum 3 years of hands-on experience in AI/ML engineering or data science roles. Proficient in Python and common ML libraries (e.g., TensorFlow, PyTorch, scikit-learn, Keras). Strong understanding of machine learning algorithms, neural networks, natural language processing (NLP), and computer vision. Experience in model deployment using cloud platforms (e.g., AWS, Azure, GCP) or containerized environments (Docker, Kubernetes). Desirable Skills:

Knowledge of MLOps tools and CI/CD pipelines for ML projects. Familiarity with big data platforms (e.g., Spark, Hadoop). Experience with academic or educational systems (LMS, AI in education) is a plus. Demonstrated contributions to open-source projects, research publications, or hackathons.

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Oryx Universal College in partnership with Liverpool John Moores University | Full time Artifical Intelligence & Machine Learning Engineer

We are seeking a highly skilled and innovative Artificial Intelligence and Machine Learning Engineer to join our team. The ideal candidate will be responsible for designing, developing, and deploying AI and ML models that drive impactful solutions across various domains, including education, data analytics, automation, and smart systems. You will work alongside interdisciplinary teams to integrate cutting-edge technologies into practical applications, transforming data into intelligent action.

Key Responsibilities:

Design, train, evaluate, and deploy machine learning and deep learning models

Build and maintain scalable AI solutions for real-time or batch processing systems.

Optimise model performance, including accuracy, latency, and resource consumption.

Collaborate with data engineers and analysts to source, clean, and transform data.

Apply advanced statistical and data mining techniques to extract meaningful patterns.

Stay updated with the latest advancements in AI and ML technologies.

Prototype innovative solutions, contribute to research publications, and recommend adoption of new frameworks.

Systems Integration

Develop APIs and services to integrate AI solutions into existing platforms or applications.

Collaborate with software engineers and DevOps teams to ensure production-level stability.

Work closely with academic and operational teams to understand business needs and translate them into technical solutions.

Prepare documentation, reports, and presentation materials to communicate findings and methodologies.

Requirements

Required Qualifications: Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or related field (Master’s or PhD preferred).

Minimum 3 years of hands-on experience in AI/ML engineering or data science roles.

Proficient in Python and common ML libraries (e.g., TensorFlow, PyTorch, scikit-learn, Keras).

Strong understanding of machine learning algorithms, neural networks, natural language processing (NLP), and computer vision.

Experience in model deployment using cloud platforms (e.g., AWS, Azure, GCP) or containerised environments (Docker, Kubernetes).

Knowledge of MLOps tools and CI/CD pipelines for ML projects.

Familiarity with big data platforms (e.g., Spark, Hadoop).

Experience with academic or educational systems (LMS, AI in education) is a plus.

Demonstrated contributions to open-source projects, research publications, or hackathons.

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Postdoctoral Researcher – Groundwater Modelling & Machine Learning

Join to apply for the Postdoctoral Researcher – Groundwater Modelling & Machine Learning role at University of Doha for Science & Technology

Postdoctoral Researcher – Groundwater Modelling & Machine Learning

Join to apply for the Postdoctoral Researcher – Groundwater Modelling & Machine Learning role at University of Doha for Science & Technology

Get AI-powered advice on this job and more exclusive features.

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’ 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.

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’ 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’ skills and help develop talented graduates who can effectively contribute to a knowledge-based economy and make Qatar’s National Vision 2030 a reality.

The Applied Research, Innovation, and Economic Development Directorate at UDST invites applications for the position of Postdoctoral Researcher. This role is integral to the development of transient groundwater models that address Qatar’s unique environmental challenges and support sustainable water resource management.

Responsibilities

Your Commitment

The successful candidate will play a crucial role in developing and implementing advanced, transient MODFLOW groundwater models specifically designed for Qatar’s aquifer systems. These transient models will dynamically simulate groundwater flow, levels, and quality, responding to temporal changes in input data and environmental conditions. This position requires strong expertise in Python programming, machine learning, and hydrological modeling. The researcher will also be responsible for integrating these models with the CWatM hydrological model to support comprehensive and adaptive environmental analyses, ensuring the accurate representation of both groundwater quantity and quality.

Key Responsibilities

• Hydrological Model Development: Design, develop, and calibrate, transient MODFLOW groundwater models using Python libraries (eg. flopy), ensuring accurate and responsive simulations of Qatar’s aquifer systems.
• Machine Learning Integration: Apply machine learning techniques to enhance the accuracy of the models, and enabling automated updates based on new data inputs.
• Hydrological Model Integration: Collaborate on the integration of these transient groundwater models with the CWatM model, facilitating comprehensive and adaptive analysis of Qatar’s water resources.
• Data Management and Quality Assurance: Manage large-scale, real-time data streams, ensuring data integrity and consistency across all modeling activities.
• Research and Publication: Conduct high-quality research, leading to publications in top-tier journals and presentations at international conferences.
• Collaboration: Work closely with interdisciplinary research teams and external stakeholders, contributing to UDST’s broader research goals in sustainable water management.
  
  

Qualifications

Qualifications

• Ph.D. in Hydrogeology, Hydrology, Environmental Engineering, or a related discipline, with a focus on transient groundwater modeling.
• Technical Skills: Proficiency in Python programming and experience with MODFLOW model development, particularly in creating and calibrating transient models.
• Machine Learning Expertise: Experience in machine learning algorithms application, with a focus on enhancing model accuracy and efficiency.
• Hydrological Modeling: Preferred Knowledge of the CWatm model or similar hydrological models.
• Research Experience: A strong record of research achievements, including publications in peer-reviewed journals and presentations at scientific conferences.
• Communication and Collaboration: Excellent written and oral communication skills, with the ability to work effectively in a multidisciplinary team environment.
  
  

Preferable Research Experiences

• Publication Record: A good history of publications in relevant, high-impact journals.
• Interdisciplinary Collaboration: Experience working within multidisciplinary research teams and contributing to collaborative research projects.
• Data Analysis Proficiency: Strong skills in managing and analyzing transient hydrogeological data and applying machine learning algorithms.
• Technical Expertise: Demonstrated hands-on experience in laboratory and fieldwork, particularly related to transient groundwater modeling and data collection.
  
  

Skills

The required skills for this position include extensive experience in developing and calibrating transient MODFLOW groundwater models, strong proficiency in Python, and a demonstrated ability to apply machine learning techniques to optimize model performance. The candidate must be skilled in integrating and managing real-time hydrogeological data to ensure accurate, dynamic simulations. Additionally, the candidate should excel in collaborative, multidisciplinary environments, with the ability to communicate complex technical concepts clearly and effectively.

Application procedure

The application should be in English. The application should be sent electronically and be attached as PDF-files, as below. Maximum size for each file is 10 MB.

• CV:(Please name the document as: CV, Surname, Ref. number) including:
• A complete list of publications
• Previous research experiences
• Two references who can be approached to write letters of reference/recommendation
• Cover letter: (Please name the document as: Personal letter, Family name, Ref. number) 1-3 pages where you:
• Introduce yourself
• Describe your previous research fields and main research results
• Relate your qualifications, experience, and skills with the job requirements
• Describe your future goals and future research focus

Seniority level

• Seniority level Internship

Employment type

• Employment type Temporary

Job function

• Job function Research, Analyst, and Information Technology
• Industries Higher Education

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