15 Paid Study jobs in Qatar

Duration: 01 October 2025 - 01 October 2026
Type: Part-time (approx. 20 hours/week)

Oryx University Research Office invites applications for an Undergraduate Research Assistant position within the Civil Engineering Program. The selected candidate will contribute to cutting-edge research under the funded project by QRDI focusing on geotechnical materials and innovative testing approaches. This role is designed for motivated undergraduate students seeking hands-on research experience in a professional academic setting.

• Perform laboratory-based experimental tests related to geotechnical materials.
• Assist in the collection, analysis, and reporting of test results.
• Conduct literature reviews to support experimental and analytical aspects of the research.
• Participate in the modification of testing procedures as needed.
• Investigate and propose alternative materials or testing methods relevant to project goals.
• Carry out additional research-related tasks as assigned.

• Bachelor's degree in civil engineering (fresh graduates are encouraged to apply).
• Oryx University graduates will be given priority.
• Strong interest in geotechnical engineering and laboratory-based research.
• Basic knowledge of soil mechanics and material testing methods is desirable.
• Ability to work independently, meet deadlines, and contribute to a research team.
• Good communication and analytical skills.

• Opportunity to gain valuable research experience under expert supervision.
• Practical exposure to laboratory testing and analysis techniques.
• Mentorship from faculty and involvement in an internationally funded research project.
• Flexible part-time schedule compatible with academic commitments.

• This is a wage-only position and does not imply or guarantee future employment with the University.
• Intellectual Property (IP) developed during this employment is subject to Oryx University and QRDI Council policies.

Interested candidates should submit the following:

• A brief cover letter outlining their interest and suitability for the role.
• An updated CV.
• Academic transcript (if available).

Overview

Duration: 01 October 2025 – 01 October 2026
Type: Part-time (approx. 20 hours/week)

Oryx University Research Office invites applications for an Undergraduate Research Assistant position within the Civil Engineering Program. The selected candidate will contribute to cutting-edge research under the funded project by QRDI focusing on geotechnical materials and innovative testing approaches. This role is designed for motivated undergraduate students seeking hands-on research experience in a professional academic setting.

• Perform laboratory-based experimental tests related to geotechnical materials.
• Assist in the collection, analysis, and reporting of test results.
• Conduct literature reviews to support experimental and analytical aspects of the research.
• Participate in the modification of testing procedures as needed.
• Investigate and propose alternative materials or testing methods relevant to project goals.
• Carry out additional research-related tasks as assigned.

• Bachelor’s degree in civil engineering (fresh graduates are encouraged to apply).
• Oryx University graduates will be given priority.
• Strong interest in geotechnical engineering and laboratory-based research.
• Basic knowledge of soil mechanics and material testing methods is desirable.
• Ability to work independently, meet deadlines, and contribute to a research team.
• Good communication and analytical skills.

• Opportunity to gain valuable research experience under expert supervision.
• Practical exposure to laboratory testing and analysis techniques.
• Mentorship from faculty and involvement in an internationally funded research project.
• Flexible part-time schedule compatible with academic commitments.

• This is a wage-only position and does not imply or guarantee future employment with the University.
• Intellectual Property (IP) developed during this employment is subject to Oryx University and QRDI Council policies.

Interested candidates should submit the following:

• A brief cover letter outlining their interest and suitability for the role.
• An updated CV.
• Academic transcript (if available).

Duration

01 October 2025 – 01 October 2026

Type : Part-time (approx. 20 hours / week)

Oryx University Research Office invites applications for an Undergraduate Research Assistant position within the Civil Engineering Program. The selected candidate will contribute to cutting-edge research under the funded project by QRDI focusing on geotechnical materials and innovative testing approaches. This role is designed for motivated undergraduate students seeking hands-on research experience in a professional academic setting.

• Perform laboratory-based experimental tests related to geotechnical materials.
• Assist in the collection, analysis, and reporting of test results.
• Conduct literature reviews to support experimental and analytical aspects of the research.
• Participate in the modification of testing procedures as needed.
• Investigate and propose alternative materials or testing methods relevant to project goals.
• Carry out additional research-related tasks as assigned.

• Bachelor’s degree in civil engineering (fresh graduates are encouraged to apply).
• Oryx University graduates will be given priority.
• Strong interest in geotechnical engineering and laboratory-based research.
• Basic knowledge of soil mechanics and material testing methods is desirable.
• Ability to work independently, meet deadlines, and contribute to a research team.
• Good communication and analytical skills.

• Opportunity to gain valuable research experience under expert supervision.
• Practical exposure to laboratory testing and analysis techniques.
• Mentorship from faculty and involvement in an internationally funded research project.
• Flexible part-time schedule compatible with academic commitments.

• This is a wage-only position and does not imply or guarantee future employment with the University.
• Intellectual Property (IP) developed during this employment is subject to Oryx University and QRDI Council policies.

• A brief cover letter outlining their interest and suitability for the role.
• An updated CV.
• Academic transcript (if available).

Overview

Duration: 01 October 2025 – 01 October 2026
Type: Part-time (approximately 20 hours/week)

Oryx University Research Office invites applications for an Undergraduate Research Assistant position within the Civil Engineering Program. The selected candidate will contribute to cutting-edge research under the QRDI-funded project focusing on geotechnical materials and innovative testing approaches. This role is designed for motivated undergraduate students seeking hands-on research experience in a professional academic setting.

• Perform laboratory-based experimental tests related to geotechnical materials.
• Assist in the collection, analysis, and reporting of test results.
• Conduct literature reviews to support experimental and analytical aspects of the research.
• Participate in the modification of testing procedures as needed.
• Investigate and propose alternative materials or testing methods relevant to project goals.
• Carry out additional research-related tasks as assigned.

• Bachelor’s degree in civil engineering (fresh graduates are encouraged to apply).
• Oryx University graduates will be given priority.
• Strong interest in geotechnical engineering and laboratory-based research.
• Basic knowledge of soil mechanics and material testing methods is desirable.
• Ability to work independently, meet deadlines, and contribute to a research team.
• Good communication and analytical skills.

• Opportunity to gain valuable research experience under expert supervision.
• Practical exposure to laboratory testing and analysis techniques.
• Mentorship from faculty and involvement in an internationally funded research project.
• Flexible part-time schedule compatible with academic commitments.

• This is a wage-only position and does not imply or guarantee future employment with the University.
• Intellectual Property (IP) developed during this employment is subject to Oryx University and QRDI Council policies.

Interested candidates should submit the following:

• A brief cover letter outlining their interest and suitability for the role.
• An updated CV.
• Academic transcript (if available).

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 of UDST invites applications for the position of Research Assistant- IoT and AI to work on project Q-Cattle, an integrated AI and IoT framework for sustainable livestock management to increase the efficiency of milk and meat production in the Qatari Market.

• Develop, test, and integrate IoT-based sensor systems for monitoring livestock health, behavior, and environmental impact into a unified platform.
• Support the creation, refinement, and deployment of AI-driven predictive models on embedded systems such as ESP32 and Raspberry Pi to collect, process, and send data to the cloud.
• Monitor real-time data acquisition processes, ensuring data quality, integrity, and seamless synchronization with cloud storage.
• Design, implement, and test a comprehensive dashboard for intuitive data visualization, real-time notifications, and actionable insights for livestock management.
• Analyze historical and real-time data using advanced processing techniques to extract meaningful insights and enable proactive decision-making.
• Draft high-quality research outputs, including Q1 and Q2 journal papers, white papers, book chapters, and technical documentation, showcasing methodologies, findings, and innovations.
• Develop and optimize software and algorithms eligible for copyright and patent protection, focusing on AI models, data analysis tools, and system integration.
• Collaborate with industry partners and stakeholders to implement IoT and AI-driven solutions, conduct farm-based assessments, and evaluate real-world applications of the system.

• Bachelor, Master or Ph.D. degree in Electrical Engineering, Computer Science, Data Science, or a related field.
• Knowledge of IoT systems, sensor integration, and data processing pipelines.
• Proficiency in AI/ML tools and techniques, especially in predictive modeling.
• Familiarity with livestock farming or agricultural technologies.
• Experience in data visualization and dashboard development (e.g., Power BI, Tableau, or custom platforms).
• Strong analytical and problem-solving skills.

• Experience in collaborating with multidisciplinary teams and industry partners.
• Knowledge of environmental metrics and greenhouse gas monitoring.

• Excellent communication and organizational skills.
• Ability to work independently and as part of a team.
• Strong commitment to research ethics and quality.
• Attention to detail and a proactive approach to problem-solving.

Join to apply for the Research Assistant- IoT and AI for Livestock Monitoring and Management role at University of Doha for Science & Technology

Continue with Google Continue with Google

Join to apply for the Research Assistant- IoT and AI for Livestock Monitoring and Management role at University of Doha for Science & Technology

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 of UDST invites applications for the position of Research Assistant- IoT and AI to work on project Q-Cattle, an integrated AI and IoT framework for sustainable livestock management to increase the efficiency of milk and meat production in Qatari Market.

Responsibilities

Responsibilities

• Develop, test, and integrate IoT-based sensor systems for monitoring livestock health, behavior, and environmental impact into a unified platform.
• Support the creation, refinement, and deployment of AI-driven predictive models on embedded systems such as ESP32 and Raspberry Pi to collect, process, and send data to the cloud.
• Monitor real-time data acquisition processes, ensuring data quality, integrity, and seamless synchronization with cloud storage.
• Design, implement, and test a comprehensive dashboard for intuitive data visualization, real-time notifications, and actionable insights for livestock management.
• Analyze historical and real-time data using advanced processing techniques to extract meaningful insights and enable proactive decision-making.
• Draft high-quality research outputs, including Q1 and Q2 journal papers, white papers, book chapters, and technical documentation, showcasing methodologies, findings, and innovations.
• Develop and optimize software and algorithms eligible for copyright and patent protection, focusing on AI models, data analysis tools, and system integration.
• Collaborate with industry partners and stakeholders to implement IoT and AI-driven solutions, conduct farm-based assessments, and evaluate real-world applications of the system.
  
  

• Bachelor, Master or P.hD degree in Electrical Engineering, Computer Science, Data Science, or a related field.
• Knowledge of IoT systems, sensor integration, and data processing pipelines.
• Proficiency in AI/ML tools and techniques, especially in predictive modeling.
• Familiarity with livestock farming or agricultural technologies.
• Experience in data visualization and dashboard development (e.g., Power BI, Tableau, or custom platforms).
• Strong analytical and problem-solving skills.
  
  

• Experience in collaborating with multidisciplinary teams and industry partners.
• Knowledge of environmental metrics and greenhouse gas monitoring.
  
  

• Excellent communication and organizational skills.
• Ability to work independently and as part of a team.
• Strong commitment to research ethics and quality.
• Attention to detail and a proactive approach to problem-solving

• Seniority level Entry level

• 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

Continue with Google Continue with Google

Continue with Google Continue with Google

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