7 Postdoctoral Researcher jobs in Qatar
Postdoctoral Researcher – Groundwater Modelling & Machine Learning
Posted 11 days ago
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Job Description
Join to apply for the Postdoctoral Researcher – Groundwater Modelling & Machine Learning role at University of Doha for Science & Technology
Postdoctoral Researcher – Groundwater Modelling & Machine LearningJoin to apply for the Postdoctoral Researcher – Groundwater Modelling & Machine Learning role at University of Doha for Science & Technology
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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.
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
- Ph.D. in Hydrogeology, Hydrology, Environmental Engineering, or a related discipline, with a focus on transient groundwater modeling.
- Technical Skills: Proficiency in Python programming and experience with MODFLOW model development, particularly in creating and calibrating transient models.
- Machine Learning Expertise: Experience in machine learning algorithms application, with a focus on enhancing model accuracy and efficiency.
- Hydrological Modeling: Preferred Knowledge of the CWatm model or similar hydrological models.
- Research Experience: A strong record of research achievements, including publications in peer-reviewed journals and presentations at scientific conferences.
- Communication and Collaboration: Excellent written and oral communication skills, with the ability to work effectively in a multidisciplinary team environment.
- Publication Record: A good history of publications in relevant, high-impact journals.
- Interdisciplinary Collaboration: Experience working within multidisciplinary research teams and contributing to collaborative research projects.
- Data Analysis Proficiency: Strong skills in managing and analyzing transient hydrogeological data and applying machine learning algorithms.
- Technical Expertise: Demonstrated hands-on experience in laboratory and fieldwork, particularly related to transient groundwater modeling and data collection.
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 Internship
- Employment type Temporary
- Job function Research, Analyst, and Information Technology
- Industries Higher Education
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#J-18808-LjbffrPostdoctoral Researcher – Groundwater Modelling & Machine Learning
Posted 11 days ago
Job Viewed
Job Description
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.
ResponsibilitiesYour Commitment
The successful candidate will play a crucial role in developing and implementing advanced, transient MODFLOW groundwater models specifically designed for Qatar’s aquifer systems. These transient models will dynamically simulate groundwater flow, levels, and quality, responding to temporal changes in input data and environmental conditions. This position requires strong expertise in Python programming, machine learning, and hydrological modeling. The researcher will also be responsible for integrating these models with the CWatM hydrological model to support comprehensive and adaptive environmental analyses, ensuring the accurate representation of both groundwater quantity and quality.
Key Responsibilities:
- Hydrological Model Development : Design, develop, and calibrate transient MODFLOW groundwater models using Python libraries (e.g., flopy), ensuring accurate and responsive simulations of Qatar’s aquifer systems.
- Machine Learning Integration : Apply machine learning techniques to enhance the accuracy of the models, enabling automated updates based on new data inputs.
- Hydrological Model Integration : Collaborate on the integration of these transient groundwater models with the CWatM model, facilitating comprehensive and adaptive analysis of Qatar’s water resources.
- Data Management and Quality Assurance : Manage large-scale, real-time data streams, ensuring data integrity and consistency across all modeling activities.
- Research and Publication : Conduct high-quality research, leading to publications in top-tier journals and presentations at international conferences.
- Collaboration : Work closely with interdisciplinary research teams and external stakeholders, contributing to UDST’s broader research goals in sustainable water management.
Qualifications:
- Ph.D. in Hydrogeology, Hydrology, Environmental Engineering, or a related discipline, with a focus on transient groundwater modeling.
- Technical Skills: Proficiency in Python programming and experience with MODFLOW model development, particularly in creating and calibrating transient models.
- Machine Learning Expertise: Experience in machine learning algorithms application, with a focus on enhancing model accuracy and efficiency.
- Hydrological Modeling: Preferred knowledge of the CWatM model or similar hydrological models.
- Research Experience: A strong record of research achievements, including publications in peer-reviewed journals and presentations at scientific conferences.
- Communication and Collaboration: Excellent written and oral communication skills, with the ability to work effectively in a multidisciplinary team environment.
Preferable Research Experiences:
- Publication Record: A good history of publications in relevant, high-impact journals.
- Interdisciplinary Collaboration: Experience working within multidisciplinary research teams and contributing to collaborative research projects.
- Data Analysis Proficiency: Strong skills in managing and analyzing transient hydrogeological data and applying machine learning algorithms.
- Technical Expertise: Demonstrated hands-on experience in laboratory and fieldwork, particularly related to transient groundwater modeling and data collection.
Skills:
The required skills for this position include extensive experience in developing and calibrating transient MODFLOW groundwater models, strong proficiency in Python, and a demonstrated ability to apply machine learning techniques to optimize model performance. The candidate must be skilled in integrating and managing real-time hydrogeological data to ensure accurate, dynamic simulations. Additionally, the candidate should excel in collaborative, multidisciplinary environments, with the ability to communicate complex technical concepts clearly and effectively.
Application ProcedureThe 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
- 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
Postdoctoral Researcher – Groundwater Modelling & Machine Learning
Posted 2 days ago
Job Viewed
Job Description
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
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Postdoctoral Researcher – Groundwater Modelling & Machine Learning
Posted 24 days ago
Job Viewed
Job Description
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
Computer Research Scientist
Posted 2 days ago
Job Viewed
Job Description
Computer Research Scientist
As a Computer Research Scientist at our company in Al-Wakra, Qatar, you will be responsible for conducting advanced research in the field of computer science. This is a full-time position open to individuals of any nationality, with a preference for Indian candidates. We also welcome applications from women who are passionate about computer science.
Your main duties will include conducting research experiments, analyzing data and results, and developing innovative solutions to complex problems in the field of computer science. You will work closely with a team of researchers to gather and interpret data, identify trends and patterns, and develop new algorithms and software applications.
To excel in this role, you should have a strong background in computer science, with a focus on research methods and data analysis techniques. A degree in computer science or a related field is required, along with excellent problem-solving skills and attention to detail.
While prior experience is preferred, we are open to hiring individuals without prior work experience in this field. We believe that passion and drive are more important than years of experience. However, some knowledge or exposure to research methods and data analysis would be beneficial.
We also welcome candidates who have their own visa or are willing to obtain one as our company does not provide visa sponsorship. This is an excellent opportunity for individuals who are looking for stable employment with the flexibility to manage their own visa status.
As an equal opportunity employer, we value diversity and encourage candidates from different backgrounds to apply. We offer a supportive work environment where you can learn from experienced researchers while also contributing your unique perspectives.
In addition to competitive compensation packages, we also offer opportunities for professional development through conferences, workshops, and training programs. We believe in investing in our employees' growth and providing them with the resources they need to succeed.
If you are passionate about computer science and eager to make a difference through your research work, we would love to hear from you! Apply now for the position of Computer Research Scientist and join our dynamic team in Al-Wakra, Qatar.
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#J-18808-LjbffrComputer Research Scientist
Posted 7 days ago
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Job Description
Computer Research Scientist
We are seeking a highly skilled and experienced Computer Research Scientist to join our team in Al-Wakra, Qatar. As a Computer Research Scientist, you will be responsible for conducting research and developing innovative solutions in the field of computer science. You will work closely with a team of researchers and engineers to develop cutting-edge technologies that will advance our company's goals.
Responsibilities:
- Conduct research and experiments to develop new computer systems, software, or applications
- Analyze data and information to identify patterns and trends
- Collaborate with other researchers and engineers to design and implement new technologies
- Write technical reports, papers, and presentations to communicate research findings
- Stay up-to-date with the latest advancements in computer science and apply them to our research projects
- Identify potential areas for improvement or innovation within our company's technology infrastructure
- Provide technical expertise and guidance to other team members as needed
Requirements:
- Master's or Ph.D. in Computer Science or related field
- Minimum of 3 years of experience in computer research or development
- Strong knowledge of programming languages such as C++, Java, Python, etc.
- Experience with data analysis and machine learning techniques
- Excellent problem-solving skills and attention to detail
- Ability to work independently as well as part of a team
- Strong communication skills, both written and verbal
- Fluency in English is required; knowledge of Malayalam is a plus
Salary:
The salary for this position is $1600 per month.
Contract Type:
This is a full-time contract position with the possibility of extension based on performance.
Location:
This job is located in Al-Wakra, Qatar. Candidates must be willing to relocate if not already residing in the area.
Visa Sponsorship:
We do not provide visa sponsorship for this position. Candidates must have their own valid visa or residency permit for Qatar.
If you are a motivated and innovative Computer Research Scientist with a passion for cutting-edge technology, we encourage you to apply for this exciting opportunity. Join our team and help us shape the future of computer science!
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#J-18808-LjbffrComputer Research Scientist
Posted 11 days ago
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Job Description
Computer Research Scientist
We are seeking a talented and innovative Computer Research Scientist to join our team in Al-Wakra, Qatar. As a member of our research team, you will be responsible for conducting original research and developing new technologies in the field of computer science. This is a contract position with a competitive salary of 1300$ per month.
Requirements:
- Minimum of 2 years experience in computer research
- Strong knowledge of programming languages such as Java, C++, and Python
- Experience with data analysis and machine learning techniques
- Ability to work independently and collaborate with a team
- Excellent communication skills and fluency in English
Preference will be given to Canadian candidates or those currently residing in Canada. Accommodation will not be provided for this position, so candidates must be able to secure their own living arrangements.
Join our dynamic team and contribute to cutting-edge research in the exciting field of computer science. Apply now!
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