9 Arabic Talent Hub Shape The Future Of AI jobs in Doha

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

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.

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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. 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 (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

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.

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

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

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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 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.

#J-18808-Ljbffr

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. 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 (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

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

#J-18808-Ljbffr

About us: The Group Securities is a well-established investment organization working in the finance industry since 1989, as a company devoted to the stock exchange. It was licensed once Qatar Stock Exchange was founded in 1997 and provides an array of investment services to more than 400,000 investors, with portfolios exceeding QR 100 billion. As brokerage firm, The Group Securities finances margin trading and operates as liquidity provider for the listed shares and ETFs. The company has a paid-up capital worth (QR 1 billion) and has been continuously posting profit since its inception. Besides being licensed by Qatar Financial Market Authority to exercise these activities, The Group Securities is also a member of Qatar Stock Exchange. Responsibilities: Work on research involving big data, and integrated AI algorithms into the financial market. Develop systems/services for the firm/consumers that are powered with AI technologies. Work along with the team members to improve existing systems, increase the efficiency, or embed AI algorithms to existing processes. Requirements: 2-4 years of experience working in AI, with a bachelor’s degree in computer science or related fields. Very strong and deep understanding in Mathematics, Statistics, and the innerworkings of AI algorithms. Experience in Python, C++ or Java. Strong knowledge in handling big data, SQL, frameworks like Apache Spark. Experience in deploying AI services/systems onto a live environment. Knowledge in OOP, software development methodology and life cycle, and version controlling tools (Git).

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University of Doha for Science and Technology (UDST) is the first national applied University in the State of Qatar, offering applied Bachelors and Master’s degrees in addition to certificates and diplomas in various fields. UDST has over 50 programs in the fields of Engineering Technology and Industrial Trades, Business Management, Computing and Information Technology, Health Sciences, Continuing and Professional Education and more.

With more than 600 staff and over 6,000 students, UDST is the destination for top-notch 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 with incorporation of innovative technological interventions, to further enhance students’ skills and help develop talented graduates that can effectively contribute to a knowledge-based economy and make Qatar’s National Vision 2030 a reality.

**Your Commitment**

The primary role of the faculty members at the College of Computing and IT is to promote high-quality innovative teaching, applied research, and services. Besides, he/she should collaborate with the Head of Department, Dean, and the colleagues to achieve the college's mission, mentor junior colleagues, and teaching assistants, and support the department and the college with several administrative and academic services.

**Academic Rank**

Faculty members will be placed in the appropriate rank based on their education and experience. The broad criteria is provided below.

**Qualifications**:
**Education**

PhD and a Master's degrees in Data Science and Artificial Intelligence or closely related field from an internationally recognized university with an undergraduate degree from an accredited university.

**For Assistant Professor**

**Experience**
- A minimum of 3 years teaching experience in a post-secondary, adult training or industry training environment, along with preferably 3 years of employment experience as a practitioner/professional within the relevant discipline.
- A distinguished research record and international reputation evidenced by high quality publications in top tier journals.
- Excellent record of supervising high caliber research students.
- Demonstrated leadership in building engagement and partnerships with the profession and industry.

**Preferred Qualifications**
- Professional Certification in Data Science and Artificial Intelligence.
- Diploma in Education (e.g. Post-secondary Education, Adult Education or Vocational Education) is preferred.
- 6+ years of employment experience as a practitioner/professional within the relevant discipline.
- Teaching experience in post-secondary, adult training, or industry training environment.
- Experience in leadership and innovation in technology-based projects.

**For Associate Professor**

**Experience**
- A minimum of 8 years teaching experience in a post-secondary, adult training or industry training environment, along with preferably 3 years of employment experience as a practitioner/professional within the relevant discipline.
- A distinguished research record and international reputation evidenced by high quality publications in top tier journals.
- Excellent record of supervising high caliber research students.
- Demonstrated leadership in building engagement and partnerships with the profession and industry.

**Preferred Qualifications**
- Professional Certification in Data Science and Artificial Intelligence.
- Diploma in Education (e.g. Post-secondary Education, Adult Education or Vocational Education) is preferred.
- 10+ years of employment experience as a practitioner/professional within the relevant discipline.
- Teaching experience in post-secondary, adult training, or industry training environment.
- Experience in leadership and innovation in technology-based projects.

**Other Required Skills**:

- Commitment to applied and experiential learning as a pedagogy and a key feature of UDST’s mandate.
- Ability to design, develop, deliver, and evaluate authentic learning experiences and assessments. These should incorporate contemporary tools and resources to maximize content learning in context, and to develop the knowledge, skills, competences and attitudes identified in program outcomes.
- Digital literacy and demonstrated fluency in technology systems, and an ability to model and facilitate use of current and emerging digital tools to support research and learning.
- Demonstrated ability to develop technology-enriched learning environments that enable students to be active participants in their own learning.
- Commitment to the effectiveness, vitality, and self-renewal of the teaching profession through self-driven continuous professional development and life-long learning.
- Effective oral and written communication skills.
- Collaborative and collegial spirit and a demonstrated ability to establish rapport with learners, colleagues, sp

Freelance Journalist - AI Trainer (Talent pool)

Freelance Journalist - AI Trainer (Talent pool)

Continue with Google Continue with Google Continue with Google Continue with Google Continue with Google Continue with Google Continue with Google Continue with Google Continue with Google Continue with Google Continue with Google Continue with Google The position may not be available immediately after you apply, but we encourage you to upload your CV if you're interested in participating. We have exciting projects coming soon with plenty of tasks, and we want to stay in touch with you. Once the role becomes available and you meet the criteria, you will be our priority candidate to join the project among the first, and we will reach out to you as soon as possible.

About The Company

At Mindrift, innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI.

What We Do

The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.

About The Role

GenAI models are improving very quickly, and one of our goals is to make them capable of addressing specialized questions and achieving complex reasoning skills. If you join the platform as an AI Tutor in Journalism, you'll have the opportunity to collaborate on these projects.

Although every project is unique, you might typically:

Generate prompts that challenge AI Define comprehensive scoring criteria to evaluate the accuracy of the AI's answers Correct the model's responses based on your domain-specific knowledge

How To Get Started

Simply apply to this post, qualify, and get the chance to contribute to projects aligned with your skills, on your own schedule. From creating training prompts to refining model responses, you'll help shape the future of AI while ensuring technology benefits everyone.

Requirements

You have a Master's Degree in Journalism or a related field You have at least 3 years of professional experience in Journalism or similar field Your level of English is advanced (C1) or above You are ready to learn new methods, able to switch between tasks and topics quickly and sometimes work with challenging, complex guidelines Our freelance role is fully remote so, you just need a laptop, internet connection, time available and enthusiasm to take on a challenge

Benefits

Why this freelance opportunity might be a great fit for you?

Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments Work on advanced AI projects and gain valuable experience that enhances your portfolio Influence how future AI models understand and communicate in your field of expertise

Continue with Google Continue with Google Continue with Google Continue with Google

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