28 AI & Emerging Technologies jobs in Qatar

The AI/ML Engineer develops andimplements AI/ML models and solutions to drive business innovation andefficiency. This role involves developing and validating machine learningmodels, deep learning algorithms, and statistical analyses, collaborating withcross-functional teams, and ensuring the quality and impact of AI/ML solutions.

• Develop and implement AI/ML projects,including the design and development of models and algorithms.
• Collaborate with stakeholders to understandbusiness requirements and translate them into AI/ML solutions.
• Develop and validate machine learningmodels, deep learning algorithms, and statistical analyses.
• Ensure the accuracy, quality, and relevanceof AI/ML outputs.
• Stay updated with the latest advancementsin AI/ML technologies and best practices, applying them to enhance solutions.
• Provide support and guidance to other teammembers as needed.
• Ensure compliance with data governance,security, and regulatory standards in all AI/ML activities.
• Prepare and present AI/ML reports anddocumentation to senior management and stakeholders.
• Participate in project planning andcontribute to the development of project timelines and deliverables.
• Perform other duties relevant to the job asassigned by the Sr. AI/ML Engineer or senior management.
  

• Bachelor’s degree in AI/ML Engineering,Computer Science, or a related field
• Relevant certifications (e.g., Google CloudProfessional Machine Learning Engineer, AWS Certified Machine Learning –Specialty) are preferred
• Preferred 1 year of experience in AI/MLengineering or related fields.
• Strong programming skills in languages suchas Python, R, or Java
• Proficiency in AI/ML tools and frameworks(e.g., TensorFlow, PyTorch)
• Excellent problem-solving and analyticalskills
• Strong communication and interpersonalskills
• Attention to detail and commitment toquality
• In-depth understanding of AI/ML principles,machine learning algorithms, and statistical analysis
• Familiarity with AI/ML model deployment andmonitoring
• Knowledge of data governance, security, andregulatory standards
• Ability to manage multiple tasks andprioritize effectively
• Strong attention to detail and commitmentto delivering high-quality work
• Ability to work independently and as partof a team
• Programming languages (e.g., Python, R,Java)
• AI/ML tools and frameworks (e.g.,TensorFlow, PyTorch)
• Data visualization tools (e.g., Tableau,Power BI)
• Collaboration and communication tools(e.g., Slack, Microsoft Teams)
• Data management systems (e.g., SQL, NoSQLdatabases)

The Sr. AI Ops Engineer manages the deployment, monitoring, and maintenance of AI models and systems. This role involves ensuring the reliability, scalability, and performance of AI systems, collaborating with cross-functional teams to optimize AI operations, and troubleshooting issues as they arise.

• Deploy, monitor, and maintain AI models and systems to ensure optimal performance and reliability.
• Implement and manage CI/CD pipelines for the continuous integration and delivery of AI models.
• Collaborate with data scientists, AI engineers, and other stakeholders to understand model requirements and ensure successful deployment.
• Monitor the performance of AI models and systems, identifying and resolving issues promptly.
• Develop and maintain automated monitoring and alerting systems to ensure the health and performance of AI systems.
• Optimize AI models and infrastructure for scalability and efficiency.
• Ensure compliance with data governance, security, and regulatory standards in AI operations.
• Document deployment procedures, monitoring processes, and maintenance activities.
• Stay updated with the latest advancements in AI operations and infrastructure technologies.
• Provide technical support and guidance to AI Ops engineers and other team members.
• Participate in project planning and contribute to the development of project timelines and deliverables.
• Perform other duties relevant to the job as assigned by the Principal AI Ops Engineer or senior management.

• Bachelor’s degree in Computer Science, Information Technology, or a related field.
• Relevant certifications (e.g., AWS Certified DevOps Engineer, Google Cloud Professional DevOps Engineer) are preferred.
• Minimum of 5 years of experience in AI operations, DevOps, or related fields.
• Experience in managing the deployment and maintenance of AI models.
• Strong programming skills in languages such as Python and Java.
• Proficiency in AI and machine learning frameworks (e.g., TensorFlow, PyTorch).
• Experience with CI/CD tools (e.g., Jenkins, GitLab CI).
• Excellent problem-solving and troubleshooting skills.
• Strong communication and interpersonal skills.
• In-depth knowledge of AI operations and infrastructure management.
• Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and their AI services.
• Understanding of data governance, security, and regulatory standards.
• Ability to manage multiple tasks and prioritize effectively.
• Strong attention to detail and commitment to delivering high-quality work.
• Ability to work independently and as part of a team.

The Principal AI Ops Engineer manages the deployment, monitoring, and maintenance of AI models and systems. This role involves ensuring the reliability, scalability, and performance of AI systems, collaborating with cross-functional teams to optimize AI operations, and troubleshooting issues as they arise.

• Deploy, monitor, and maintain AI models andsystems to ensure optimal performance and reliability.
• Implement and manage CI/CD pipelines forthe continuous integration and delivery of AI models.
• Collaborate with data scientists, AIengineers, and other stakeholders to understand model requirements and ensuresuccessful deployment.
• Monitor the performance of AI models andsystems, identifying and resolving issues promptly.
• Develop and maintain automated monitoringand alerting systems to ensure the health and performance of AI systems.
• Optimize AI models and infrastructure forscalability and efficiency.
• Ensure compliance with data governance,security, and regulatory standards in AI operations.
• Document deployment procedures, monitoringprocesses, and maintenance activities.
• Stay updated with the latest advancementsin AI operations and infrastructure technologies.
• Provide technical support and guidance tojunior AI Ops engineers and other team members.
• Participate in project planning andcontribute to the development of project timelines and deliverables.
• Perform other duties relevant to the job asassigned by the Head of AI Ops & Infrastructure or senior management .
  

• Bachelor’s degree in Computer Science,Information Technology, or a related field
• Relevant certifications (e.g., AWSCertified DevOps Engineer, Google Cloud Professional DevOps Engineer) arepreferred
• Minimum of 8 years of experience in AIoperations, DevOps, or related fields
• Experience in managing the deployment andmaintenance of AI models
• Strong programming skills in languages suchas Python
• Proficiency in AI and machine learningframeworks (e.g., TensorFlow, PyTorch)
• Experience with CI/CD tools (e.g., Jenkins,GitLab CI)
• Excellent problem-solving andtroubleshooting skills
• Strong communication and interpersonalskills
• In-depth knowledge of AI operations andinfrastructure management
• Familiarity with cloud platforms (e.g.,AWS, Azure, Google Cloud) and their AI services
• Understanding of data governance, security,and regulatory standards
• Ability to manage multiple tasks andprioritize effectively
• Strong attention to detail and commitmentto delivering high-quality work
• Ability to work independently and as partof a team
• Programming languages (e.g., Python, Java,C++)
• AI and machine learning frameworks (e.g.,TensorFlow, PyTorch)
• Monitoring and logging tools (e.g.,Prometheus, ELK Stack)
• Collaboration and communication tools(e.g., Slack, Microsoft Teams)

The Sr. AI/ML Engineer supports the development and implementation of AI/ML models and solutions to drive business innovation and efficiency. This role involves developing and validating machine learning models, deep learning algorithms, and statistical analyses, collaborating with cross-functional teams, and ensuring the quality and impact of AI/ML solutions.

• Support the development and implementationof AI/ML projects, including the design and development of models andalgorithms.
• Collaborate with stakeholders to understandbusiness requirements and translate them into AI/ML solutions.
• Develop and validate machine learningmodels, deep learning algorithms, and statistical analyses.
• Ensure the accuracy, quality, and relevanceof AI/ML outputs.
• Stay updated with the latest advancementsin AI/ML technologies and best practices, applying them to enhance solutions.
• Mentor and provide guidance to junior AI/MLengineers and other team members.
• Ensure compliance with data governance,security, and regulatory standards in all AI/ML activities.
• Prepare and present AI/ML reports anddocumentation to senior management and stakeholders.
• Participate in project planning andcontribute to the development of project timelines and deliverables.
• Perform other duties relevant to the job asassigned by the Principal AI/ML Engineer or senior management.
  

• Bachelor’s degree in AI/ML Engineering,Computer Science, or a related field
• Relevant certifications (e.g., Google CloudProfessional Machine Learning Engineer, AWS Certified Machine Learning –Specialty) are preferred
• Minimum of 5 years of experience in AI/MLengineering or related fields
• Experience in developing and implementingAI/ML solutions for AI or technology-focused products
• Strong programming skills in languages suchas Python
• Proficiency in AI/ML tools and frameworks(e.g., TensorFlow, PyTorch)
• Excellent problem-solving and analyticalskills
• Strong communication and interpersonalskills
• Attention to detail and commitment toquality
• In-depth understanding of AI/ML principles,machine learning algorithms, and statistical analysis
• Familiarity with AI/ML model deployment andmonitoring
• Knowledge of data governance, security, andregulatory standards
• Ability to manage multiple tasks andprioritize effectively
• Strong attention to detail and commitmentto delivering high-quality work
• Ability to work independently and as partof a team
• Programming languages (e.g., Python)
• AI/ML tools and frameworks (e.g.,TensorFlow, PyTorch)
• Data visualization tools (e.g., Tableau,Power BI)
• Collaboration and communication tools(e.g., Slack, Microsoft Teams)
• Data management systems (e.g., SQL, NoSQLdatabases)

The Principal AI/ML Engineer develops and implements AI/ML models and solutions to drive business innovation and efficiency. This role involves leading AI/ML projects, collaborating with cross-functional teams, and ensuring the quality and impact of AI/ML solutions.

• Lead the development and implementation of AI/ML projects,including the design and development of models and algorithms.
• Collaborate with stakeholders to understand businessrequirements and translate them into AI/ML solutions.
• Develop and validate machine learning models, deep learningalgorithms, and statistical analyses.
• Ensure the accuracy, quality, and relevance of AI/MLoutputs.
• Stay updated with the latest advancements in AI/MLtechnologies and best practices, applying them to enhance solutions.
• Mentor and provide guidance to junior AI/ML engineers andother team members.
• Ensure compliance with data governance, security, andregulatory standards in all AI/ML activities.
• Prepare and present AI/ML reports and documentation tosenior management and stakeholders.
• Participate in project planning and contribute to thedevelopment of project timelines and deliverables.
• Perform other duties relevant to the job as assigned by theHead of Data & AI Engineering or senior management.
  

• Bachelor’s degree in AI/ML Engineering, Computer Science, ora related field
• Relevant certifications (e.g., Google Cloud ProfessionalMachine Learning Engineer, AWS Certified Machine Learning – Specialty) arepreferred
• Minimum of 8 years of experience in AI/ML engineering orrelated fields
• Experience in developing and implementing AI/ML solutionsfor AI or technology-focused products
• Strong programming skills in languages such as Python, R, orJava
• Proficiency in AI/ML tools and frameworks (e.g., TensorFlow,PyTorch)
• Excellent problem-solving and analytical skills
• Strong communication and interpersonal skills
• Attention to detail and commitment to quality
• In-depth understanding of AI/ML principles, machine learningalgorithms, and statistical analysis
• Familiarity with AI/ML model deployment and monitoring
• Knowledge of data governance, security, and regulatorystandards
• Ability to manage multiple tasks and prioritize effectively
• Strong attention to detail and commitment to deliveringhigh-quality work
• Ability to work independently and as part of a team
• Programming languages (e.g., Python, R, Java)
• AI/ML tools and frameworks (e.g., TensorFlow, PyTorch)
• Data visualization tools (e.g., Tableau, Power BI)
• Collaboration and communication tools (e.g., Slack,Microsoft Teams)
• Data management systems (e.g., SQL, NoSQL databases)
  
  

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.

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

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.
  

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.

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

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.
  
  

• 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.
  
  

• 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.
  
  

• 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 Internship

• Employment type Temporary

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

Referrals increase your chances of interviewing at University of Doha for Science & Technology by 2x

Get notified about new Postdoctoral Researcher jobs in Doha, Qatar .

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

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. 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.

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 (e.g., 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, 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:

• 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.

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.

1. 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

• 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