16 AI Software Engineer jobs in Qatar

Position Name: - Software development and support engineers

Project Duration: - 6 Months

Experience: - 3 years

Education: - MSC Degree in IT

Duty: - 10hrs / 6 Days

Location: - Doha

Roles & Responsibility:
- Take an active role in software development by using Java technologies and / or advanced latest technologies.
- Being involved in software development life cycle by designing, documenting, coding, Integration, tuning, and testing based on customer needs.
- Understanding Siemens Portfolio solutions and to assist in configuration engineering to meet customer

requirements within contract costs or development budgets, timescales, and appropriate quality standards.
- Provide customer support by answering tickets, failure reports, problem solving etc.
- Provide training to customers as required.
- Good general technical engineering skills, and a desire for learning new technologies across GSW

portfolio and beyond.
- Assist sales activities in promoting Cybersecurity offering, MDM and GC.
- Coordinate with HQ cybersecurity experts to handle CS topics
- Deliver presentations and participate in events to promote cybersecurity and GSW software offering

Assist Presales activities to manage tenders response till successful submission

Qualifications And Skills - Digital And Solid!
- 2+ years of experience in working with SQLs.
- 3+ years of experience in handling with APIs, Web Service, Java Script, Messaging Framework,

Workflow Engine etc.
- 2+ years of experience in preparing technical documentation (Requirement, High
- & Low-level design document)
- 3+ years of Experience in Mobile Development
- MSC Degree in IT
- Certified in Agile methodology,

Knowledge on one or more of the following:

- Expert in configuring and using Jira and other support ticketing systems
- Knowledge about OT and IT Cybersecurity concepts, standards, and the assessment offering from PTI
- Expert in Object Oriented Analysis and Design, Object Oriented Programming, generics, annotations,

multi-threading, JDBC API, experienced with Eclipse IDE development environment.

Knowledge/experience in an ORM framework (such as Hibernate) for persistence management.
- J2EE/Java/JSP/Servlet/GWT/AJAX Application Development.
- Presenter (MVP) with GWT, Model View and Controller (MVC) utilizing a framework (Spring/Struts/JSF)
- Knowledge PL/SQL, working knowledge on PostgreSQL and Apache Cassandra, Mongo DB etc.
- Project experience in Javascript is a big plus. Working knowledge of DOM, XML, JSON, Javascript,

AJAX. Willingness to learn Javascript, use & customize open-source plugins required.

Any experience in Javascript libraries/frameworks is a bonus (Jquery, Sencha ExtJS, etc)
- Knowledge of Message Bus Technology, RabbitMQ, ActiveMQ
- Knowledge on MQTT, AMQP (Protocols).
- Experience in using a source control system - Ant/Maven/Grade build engineering

Writing custom scripts (batch/shell) to automate build/deployment activities
- working knowledge of both Waterfall and AGILE software development lifecycle approaches

**Job Types**: Full-time, Contract
Contract length: 6 months

Qatar
- Information Technology (IT)
- Group Functions

**Job Reference #**
- 273056BR

**City**
- Doha

**Job Type**
- Full Time

**Your role**
- Are you passionate about designing, building and deploying robust automation frameworks, that serve digital products and services. Do you want to play a key role in transforming our firm into a more agile organization based on DevOps principles?-
- integrate QA Automation into the build and deploy pipelines supporting a drive towards CI/CD using Jenkins/Gitlab
- strong experience with Agile development incorporating Continuous Integration and Continuous Delivery, utilizing technologies such as GitLab, Maven, Jenkins, Sonar
- evaluate and Implement new software test automation tools and tooling standards
- extensive experience in Developing, Executing and Maintaining Test Plan, Test Strategy, Test Scenarios and Test Cases and Reporting system

**Your team**
- You’ll be working in our delivery team in Qatar. You’ll be working together with global IT team to provide robust and reliable IT services and solutions to help our clients to manage their assets and investments.

**Your expertise**
- university degree in computer science, information systems or related field of study with around 5 years of experience in overall SDET and development experience
- strong technical experience of working with APIs testing using Java, Postman, Karate, SoapUI or any other proficient tool
- have developed end to end automation frameworks with dynamic test data, reusable utilities, database test and detailed reporting for web-services.
- proficient in the execution of different forms of testing like functional testing, component test, integration testing for APIs, acceptance testing and performance testing
- good understanding of OOPS concepts and strong programming skills in Java, proficient in JUnit or TestNG framework to & for addition test assertions in any of the tools
- expertise in multiple authorization mechanisms utilized for accessing API, Kafka
- ability to interpret XML Schema definitions in case of SOAP APIs, swagger definition or any high-level design and metadata information pertaining to REST API
- experience in test strategies, methodologies such as BDD/TDD and Agile

**About us**
- UBS is the world’s largest and only truly global wealth manager. We operate through four business divisions: Global Wealth Management, Personal & Corporate Banking, Asset Management and the Investment Bank. Our global reach and the breadth of our expertise set us apart from our competitors.
- With more than 70,000 employees, we have a presence in all major financial centers in more than 50 countries. Do you want to be one of us?

**How we hire**

**Join us**
- At UBS, we embrace flexible ways of working when the role permits. We offer different working arrangements like part-time, job-sharing and hybrid (office and home) working. Our purpose-led culture and global infrastructure help us connect, collaborate, and work together in agile ways to meet all our business needs.
- From gaining new experiences in different roles to acquiring fresh knowledge and skills, we know that great work is never done alone. We know that it's our people, with their unique backgrounds, skills, experience levels and interests, who drive our ongoing success. Together we’re more than ourselves. Ready to be part of #teamUBS and make an impact?

**Disclaimer / Policy Statements**
- UBS is an Equal Opportunity Employer. We respect and seek to empower each individual and support the diverse cultures, perspectives, skills and experiences within our workforce.

Software Development Engineer in Test (Java Backend) | UBS - Experienced professionals - job boards

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.

#J-18808-Ljbffr

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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