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research professor

Qatar University

<div><p><b>Job Summary</b><br>
The Research Assistant/Associate Professor will contribute to SESRI&rsquo;s mission by leading high-quality research projects, particularly in survey research and applied social sciences. The role involves designing and implementing research studies, securing funding, publishing scholarly work, and engaging in policy-relevant research initiatives.</p><p><b>
Key Responsibilities</b></p><p>
</p><ul><li>Design and implement quantitative and/or mixed-methods research studies
</li><li>Lead and provide technical expertise in the design, application, and evaluation of survey instruments, ensuring validity, reliability, precision, and cost-effectiveness
</li><li>Publish high-quality research in peer-reviewed journals
</li><li>Contribute to research reports, presentations, and dissemination outputs based on SESRI surveys
</li><li>Mentor and support junior researchers and research staff
</li><li>Actively participate in SESRI events (e.g., conferences, training workshops, public lectures)
</li><li>Contribute to teaching activities, if required, in line with Qatar University policies
</li><li>Perform other duties as assigned</li></ul>
Qualifications
<ul><li><p><b>Qualifications</b></p>
<p><b>Education</b></p>
<ul><li>PhD in Economics or a related Social Science (e.g., Political Science, Sociology, Public Policy)
</li></ul><p><b>Languages</b></p>
<ul><li>Excellent proficiency in English (required)
</li><li>Proficiency in Arabic (preferred)
</li></ul><p><b>Experience</b></p>
<ul><li>Minimum of 2 years of post-PhD research experience
</li><li>Strong background in quantitative and/or mixed-methods research
</li><li>Experience in survey research, including field data collection and/or large dataset analysis
</li><li>Proficiency in statistical software such as R, SAS, SPSS, or STATA
</li><li>Proven track record of academic publications
</li><li>Experience in securing or contributing to research funding
</li></ul><p></p><p><b>Preferred (Not Mandatory)</b></p>
<ul><li>Experience conducting research in Qatar or the GCC region
</li><li>Experience with experimental or quasi-experimental research methods
</li><li>Experience working on policy-oriented or government-linked research</li></ul></li></ul>
Required Documents<p></p><div><br>
</div><div><b>Academic:</b></div><div><br>
</div><div>1. Current Curriculum Vitae.
</div><div>2. Cover letter.
</div><div>3. Teaching, research, and service philosophy.</div><div>
4. Three referees&rsquo; contact information (physical and email addresses as well their telephones contact).</div><div>
5. Copy of highest earned credential (transcript of highest degree if graduated from an institution where course work was completed. However, if no course work was completed, an copy of certificate letter from the registrar of your highest credential granting institution regarding your highest academic degree).
</div><div>6. Any additional documentation that you feel is relevant to your application.</div>
Benefits<div></div><div><br>
<b>Academic:</b></div><div><br>
</div><div>1. A three-year renewable contract.
</div><div>2. Salary is commensurate with experience.</div><div>
3. Tax-free salary.
</div><div>4. Furnished accommodation in accordance with QU HR policies.</div><div>
5. Annual round trip air tickets for faculty member and dependents in accordance with QUHR policies.</div><div>
6. Educational allowance for candidate's children (eligible candidates only) in accordance with QU HR policies.</div><div>
7. Private health care and health insurance in accordance with QU HR policies.
</div><div>8. Annual leave in accordance with QU HR policies.
</div><div>9. End-of-contract indemnity.
</div>How To Apply
<div>1. <b>Returning Applicant:</b> Please login in QU Recruitment Online website (https://careers.qu.edu.qa) to update/edit your saved profile. Use this profile to apply for this position.</div><div>
2. <b>New Applicant:</b> You need to setup an account with QU Recruitment Online website (https://careers.qu.edu.qa) and complete your personal profile. Once your profile is complete you may use it to apply for an open Position.</div></div>

Research Professor

<div><p>Qatar University&rsquo;s Agricultural Research Station is seeking a highly motivated and experienced <b>Research Professor</b> in Natural Resource Management, with a focus on water, soil, and plant resources. This is a research-oriented position with minimal or no teaching responsibilities. The successful candidate will lead and contribute to innovative research projects addressing critical challenges in natural resource management, with an emphasis on the conservation and sustainable use of resources in agricultural production within arid and semi-arid environments.</p><p>
</p><div><ul><li>Conduct independent and collaborative research on water, soil, and plant resource conservation and sustainable agricultural practices.
</li></ul><ul><li>Design and implement research studies, including fieldwork, laboratory analysis, and data modeling.
</li></ul><ul><li>Publish research findings in peer-reviewed journals and present at scientific conferences.
</li></ul><ul><li>Secure research funding through competitive grants and partnerships.
</li></ul><ul><li>Collaborate with interdisciplinary teams to address sustainability challenges in agriculture.
</li></ul><ul><li>Supervise and mentor students and junior researchers.
</li></ul><ul><li>Engage with farmers, industry stakeholders, and policymakers to translate research into practical applications.
</li></ul><ul><li>Develop partnerships with communities and stakeholders to maximize research impact.
</li></ul><ul><li>Stay up to date with emerging trends in natural resource management.</li></ul></div>
Qualifications
<ul><li>PhD in Ecology, Natural Resource Management, Soil Science, Environmental Science, or a related field.
</li><li>Minimum of 5&ndash;7 years of post-PhD research experience in natural resource management.
</li><li>Strong record of research and publications in peer-reviewed journals.
</li><li>Demonstrated experience in securing research funding and writing grant proposals.
</li><li>Expertise in water resource management, soil conservation, plant ecology, or sustainable land use.
</li><li>Strong understanding of environmental policies and sustainability practices.
</li><li>Excellent communication and teamwork skills.
</li><li>Proficiency in English is required; knowledge of Arabic is preferred.</li></ul>
Required Documents<br>
<div></div>
<b>Academic:</b>
<div><ul><li>Current Curriculum Vitae with Cover letter.</li></ul>
<ul><li>Teaching,research, and service philosophy.</li></ul>
<ul><li>Three referees&rsquo; contact information (physical and email addresses as well their telephones contact).</li></ul>
<ul><li>Copy of highest earned credential (transcript of highest degree if graduated from an institution where course work was completed.However, if no course work was completed,an copy of certificate letter from the registrar of your highest credential granting institution regarding your highest academic degree).</li></ul>
<ul><li>Any additional documentation that you feel is relevant to your application.</li></ul></div>
Benefits<br>
<div></div>
<b>Academic:</b>
<div><ul><li>A three-year renewable contract.</li></ul>
<ul><li>Salary is commensurate with experience.</li></ul>
<ul><li>Tax-free salary.</li></ul>
<ul><li>Furnished accommodation in accordance with QU HR policies.</li></ul>
<ul><li>Annual air tickets for faculty member and dependents in accordance with QU HR policies.</li></ul>
<ul><li>Educational allowance for candidate's children (eligible candidates only) in accordance with QU HR policies.</li></ul>
<ul><li>Private health care and health insurance in accordance with QU HR policies.</li></ul>
<ul><li>Annual leave in accordance with QU HR policies.</li></ul>
<ul><li>End-of-contract indemnity.</li></ul></div>
How To Apply <b>New Applicant:</b> You need to setup an account with QU Recruitment Online website (https://careers.qu.edu.qa) and complete your personal profile. Once your profile is complete you may use it to apply for an open Position.</div>

Research Professor in Natural Resource Management

<div><p><b>Job Summary</b><br>
The Research Assistant/Associate Professor will contribute to SESRI&rsquo;s mission by leading high-quality research projects, particularly in survey research and applied social sciences. The role involves designing and implementing research studies, securing funding, publishing scholarly work, and engaging in policy-relevant research initiatives.</p>
<p></p><p><b>Key Responsibilities</b></p>
<ul><li>Design and implement quantitative and/or mixed-methods research studies
</li><li>Lead and provide technical expertise in the design, application, and evaluation of survey instruments, ensuring validity, reliability, precision, and cost-effectiveness
</li><li>Publish high-quality research in peer-reviewed journals
</li><li>Contribute to research reports, presentations, and dissemination outputs based on SESRI surveys
</li><li>Mentor and support junior researchers and research staff
</li><li>Actively participate in SESRI events (e.g., conferences, training workshops, public lectures)
</li><li>Contribute to teaching activities, if required, in line with Qatar University policies
</li><li>Perform other duties as assigned</li></ul>
Qualifications
<p><b>Qualifications</b></p>
<p><b>Education</b></p>
<ul><li>PhD in Economics or a related Social Science (e.g., Political Science, Sociology, Public Policy)
</li></ul><p><b>Languages</b></p>
<ul><li>Excellent proficiency in English (required)
</li><li>Proficiency in Arabic (preferred)
</li></ul><p><b>Experience</b></p>
<ul><li>Minimum of 2 years of post-PhD research experience
</li><li>Strong background in quantitative and/or mixed-methods research
</li><li>Experience in survey research, including field data collection and/or large dataset analysis
</li><li>Proficiency in statistical software such as R, SAS, SPSS, or STATA
</li><li>Proven track record of academic publications
</li><li>Experience in securing or contributing to research funding
</li></ul><p></p><p><b>Preferred (Not Mandatory)</b></p>
<ul><li>Experience conducting research in Qatar or the GCC region
</li><li>Experience with experimental or quasi-experimental research methods
</li><li>Experience working on policy-oriented or government-linked research</li></ul>
Required Documents<p></p><div><br>
<b>Academic:</b></div><div><br>
</div><div>1. Current Curriculum Vitae.
</div><div>2. Cover letter.
</div><div>3. Teaching, research, and service philosophy.</div><div>
4. Three referees&rsquo; contact information (physical and email addresses as well their telephones contact).</div><div>
5. Copy of highest earned credential (transcript of highest degree if graduated from an institution where course work was completed. However, if no course work was completed, an copy of certificate letter from the registrar of your highest credential granting institution regarding your highest academic degree).
</div><div>6. Any additional documentation that you feel is relevant to your application.</div>
Benefits<div></div><div><br>
</div><div><b>Academic:</b></div><div><br>
</div><div>1. A three-year renewable contract.
</div><div>2. Salary is commensurate with experience.</div><div>
3. Tax-free salary.
</div><div>4. Furnished accommodation in accordance with QU HR policies.</div><div>
5. Annual round trip air tickets for faculty member and dependents in accordance with QUHR policies.</div><div>
6. Educational allowance for candidate's children (eligible candidates only) in accordance with QU HR policies.</div><div>
7. Private health care and health insurance in accordance with QU HR policies.
</div><div>8. Annual leave in accordance with QU HR policies.
</div><div>9. End-of-contract indemnity.
</div>How To Apply
<div>1. <b>Returning Applicant:</b> Please login in QU Recruitment Online website (https://careers.qu.edu.qa) to update/edit your saved profile. Use this profile to apply for this position.</div><div>
2. <b>New Applicant:</b> You need to setup an account with QU Recruitment Online website (https://careers.qu.edu.qa) and complete your personal profile. Once your profile is complete you may use it to apply for an open Position.</div></div>

Research Assistant Professor

<div><p><b>Job Summary</b></p>
<ul><li>The Research Assistant/Associate Professor is responsible for developing and implementing research projects
</li><li>Ensuring the data processing and data analysis capabilities of SESRI
</li><li>Coordinating and providing technical direction for the analysis of data collected in each survey undertaken by SESRI
</li><li>Initiating and directing efforts to ensure accuracy and, where appropriate, to promote innovation in measurement and instrument design
</li><li>Managing SESRI&rsquo;s data archiving activities
</li></ul><p><b>Key Responsibilities</b></p>
<ul><li>Developing and administering procedures for all data processing, analysis, and management operations
</li><li>Coordinating and providing technical leadership/assistance for the design, application, and evaluation of survey instruments, with particular attention to validity, reliability, precision, and cost-effectiveness
</li><li>Coordinating and providing technical leadership/assistance for the analysis of data collected in each survey undertaken by SESRI, including index and scale construction and univariate, bivariate, and multivariate statistical analyses
</li><li>Participating in writing papers, articles, and research reports that present findings from surveys undertaken by SESRI
</li><li>Providing administrative and technical leadership/assistance for all data archiving operations, including cleaning and standardization, storage and retrieval, distribution and dissemination, and merging and construction of integrated data files
</li><li>Providing support and mentoring to Research Assistants in the course of their work
</li><li>Participating actively in SESRI events, such as conferences, training workshops, and public lectures
</li><li>Participating in teaching if needed in accordance with QU policies and procedures
</li><li>Performing all other duties as assigned</li></ul>
Qualifications
<ul><li><p><b>Education and Certifications</b></p>
<ul><li>PhD degree with a concentration in a relevant discipline (such as health, education, sociology, political science, economics, communication, and media studies)
</li></ul><p><b>Languages</b></p>
<ul><li>Excellent proficiency in English and/or Arabic (both written and verbal)
</li></ul><p><b>Experience</b></p>
<ul><li>Expertise in the use of statistical packages such as R, SAS, SPSS, or STATA for both data processing and analysis
</li><li>Four or more years of experience in the conduct of survey research, including data analysis and data management
</li><li>Experience in the conduct of survey research in the Arab world, preferably in the Gulf region
</li><li>Experience in the conduct of survey research in locations where survey research is not widespread (preferable)</li></ul></li></ul>
Required Documents<br>
<div><br>
</div><b>Academic:</b>
<div><ul><li>Current Curriculum Vitae with Cover letter.</li></ul>
<ul><li>Teaching,research, and service philosophy.</li></ul>
<ul><li>Three referees&rsquo; contact information (physical and email addresses as well their telephones contact).</li></ul>
<ul><li>Copy of highest earned credential (transcript of highest degree if graduated from an institution where course work was completed.However, if no course work was completed,an copy of certificate letter from the registrar of your highest credential granting institution regarding your highest academic degree).</li></ul>
<ul><li>Any additional documentation that you feel is relevant to your application.</li></ul></div>
Benefits<br>
<div></div>
<b>Academic:</b>
<div><ul><li>A three-year renewable contract.</li></ul>
<ul><li>Salary is commensurate with experience.</li></ul>
<ul><li>Tax-free salary.</li></ul>
<ul><li>Furnished accommodation in accordance with QU HR policies.</li></ul>
<ul><li>Annual air tickets for faculty member and dependents in accordance with QU HR policies.</li></ul>
<ul><li>Educational allowance for candidate's children (eligible candidates only) in accordance with QU HR policies.</li></ul>
<ul><li>Private health care and health insurance in accordance with QU HR policies.</li></ul>
<ul><li>Annual leave in accordance with QU HR policies.</li></ul>
<ul><li>End-of-contract indemnity.</li></ul></div>
How To Apply <b>New Applicant:</b> You need to setup an account with QU Recruitment Online website (https://careers.qu.edu.qa) and complete your personal profile. Once your profile is complete you may use it to apply for an open Position.</div>

Research Associate Professor

Texas A&M University

<div>
 The Mechanical Engineering (MEEN) Program of Texas A&amp;M University at Qatar (http://www.qatar.tamu.edu/) invites applications for a full-time faculty position at the assistant level. The position is in the areas of robotics and autonomous systems, with preference given to candidates with expertise in emerging technologies with novel theoretical developments and practical applications, such as industrial robotics; control, autonomous systems; intelligent robotics for exploration, manufacturing, and construction; advanced sensor and actuation technologies; mechatronics and human-machine interaction and applications of artificial intelligence to robotics and autonomous systems. Faculty at Texas A&amp;M University Qatar Campus (TAMUQ) are of two types: instructional track and research track. This position is a research-track position at the assistant level. The official title for this position is Research Assistant Professor, with the working title of Engineering Assistant Professor. Research-track faculty at TAMUQ are expected to teach undergraduate and graduate courses and develop an independent research program, as well as to engage through scholarship within the university and their discipline.
 <br/>
 <br/>
 This non-tenure track position assumes a 9-month academic appointment with an anticipated start date of Spring 2024 or Fall 2024, depending on the applicant's availability. The hired faculty member is eligible to receive a startup package that covers the summer salary for three years. Following this period, faculty members at Texas A&amp;M at Qatar have a 9-month appointment and may cover the salary of the remaining months from externally funded grants and/or teaching and services.
 <br/>
 <br/>
 The Mechanical Engineering Program at Texas A&amp;M University at Qatar (hqatar.tamu.edu/programs/mechanical-engineering/) currently has 10 faculty members who have a strong commitment to teaching, research, and service. The program benefits from state-of-the-art facilities and instrumentation supporting its key educational and research missions. There is support in Qatar for research from Qatar National Research Fund and industry. Faculty members may advise graduate students enrolled in degree programs at Texas A&amp;M University.
 <br/>
 <br/>
 Texas A&amp;M University at Qatar's Mechanical Engineering Program has recently launched a high-impact research initiative that centers on smart and sustainable manufacturing. With the aim of transforming the manufacturing industry towards sustainability and digitization, the initiative brings together faculty from the main campus at College Station, Texas, and those based in Qatar to collaborate on groundbreaking research. We are seeking visionary and motivated faculty members to join our team and contribute to the development of this innovative initiative. As a part of this dynamic research platform, you will have the opportunity to work alongside world-class researchers, tap into state-of-the-art resources, and collaborate on impactful research projects.
 <br/>
 <br/>
 The MEEN Program is fully committed to a culturally and academically diverse faculty. Therefore, candidates who can contribute further to the faculty diversity, equity, and inclusion are encouraged to apply. This position is in Qatar, a Gulf State in the Middle East, and the successful candidate must relocate to Doha, the capital of Qatar. Doha is a vibrant multicultural city that has excellent schools.
 <br/>
 <br/>
 Texas A&amp;M University at Qatar is a partnership with Qatar Foundation. Established in 2003, Texas A&amp;M University at Qatar offers Bachelor of Science degrees in Chemical, Electrical and Computer, Mechanical, and Petroleum Engineering and a Master's Program in Chemical Engineering. Texas A&amp;M at Qatar attracts some of the best high school graduates in the region. The degree programs are materially identical to those of the main campus at College Station, Texas. Texas A&amp;M University diploma is awarded to graduates.
 <br/>
 <br/>
 Doha is the home of Education City (https://www.qf.org.qa/education/higher-education), a dedicated campus devoted to research and education. In addition to Texas A&amp;M at Qatar, the Education City campus hosts other academic institutions, including Weill Cornell Medicine-Qatar, Carnegie Mellon University, Virginia Commonwealth University, Northwestern University, and Georgetown University. As an international institution of higher learning, Texas A&amp;M University at Qatar, and its partners in Education City, have significantly contributed to the development of post-secondary education and cultural growth in Qatar.
 <br/>
 <br/>
 Texas A&amp;M at Qatar offers a competitive salary package commensurate with rank and experience. The package includes housing, annual home leave allowances, dependent education, local transportation allowance, medical insurance for employees and dependents, plus appropriate relocation and repatriation expenses. Faculty members are also eligible for professional development funds to help them with teaching and curriculum development.
 <br/>
 <br/>
 The ideal candidate should possess a doctorate degree in mechanical engineering or a closely related field. The candidate should have a demonstrated scholarly record in the area of robotics and smart systems with a relevant Ph.D. dissertation and publications in reputable journals. The successful candidate is expected to have a strong commitment to teaching excellence, developing a viable research program, and service at the professional and institutional levels.
 <br/>
 <br/>
 The application priority deadline for full consideration is September 1, 2023. However, applications will be accepted until the position is filled. All application materials should be uploaded to Interfolio at: http://apply.interfolio.com/119038 Applicants may also send inquiries to (meen.search.committee@qatar.tamu.edu). The required documents are:
 <br/>
 <br/>
 <ul>
  <li>
   Cover letter
  </li>
  <li>
   Resume
  </li>
  <li>
   Research and teaching (not to exceed 3 pages in total)
  </li>
  <li>
   Contact information of 4 references who will send letters when requested
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 Three reference letters will be required for the shortlisted candidates.
 <br/>
 <br/>
 <strong>
  Equal Employment Opportunity Statement
  <br/>
  <br/>
 </strong>
 Equal Opportunity/Veterans/Disability Employer.
</div>


Research Assistant Professor (Working Title - Engineering Assistant Professor) Robotics and Autonomous Systems - Mechanical Engineering Program

<div><b>Job Summary</b><br>
The Research Associate Professor will contribute to SESRI&rsquo;s mission by leading high-quality research projects, particularly in survey research and applied social sciences. The role involves designing and implementing research studies, securing funding, publishing scholarly work, and engaging in policy-relevant research initiatives.<div><p><b>
Key Responsibilities</b></p>
<ul><li>Design and implement quantitative and/or mixed-methods research studies
</li><li>Lead and provide technical expertise in the design, application, and evaluation of survey instruments, ensuring validity, reliability, precision, and cost-effectiveness
</li><li>Publish high-quality research in peer-reviewed journals
</li><li>Contribute to research reports, presentations, and dissemination outputs based on SESRI surveys
</li><li>Mentor and support junior researchers and research staff
</li><li>Actively participate in SESRI events (e.g., conferences, training workshops, public lectures)
</li><li>Contribute to teaching activities, if required, in line with Qatar University policies
</li><li>Perform other duties as assigned</li></ul></div>
Qualifications
<p><b>Qualifications</b></p>
<p><b>Education</b></p>
<ul><li>PhD in Economics or a related Social Science (e.g., Political Science, Sociology, Public Policy)
</li></ul><p><b>Languages</b></p>
<ul><li>Excellent proficiency in English (required)
</li><li>Proficiency in Arabic (preferred)
</li></ul><p><b>Experience</b></p>
<ul><li>Minimum of 2 years of post-PhD research experience
</li><li>Strong background in quantitative and/or mixed-methods research
</li><li>Experience in survey research, including field data collection and/or large dataset analysis
</li><li>Proficiency in statistical software such as R, SAS, SPSS, or STATA
</li><li>Proven track record of academic publications
</li><li>Experience in securing or contributing to research funding
</li></ul><p></p><p><b>Preferred (Not Mandatory)</b></p>
<ul><li>Experience conducting research in Qatar or the GCC region
</li><li>Experience with experimental or quasi-experimental research methods
</li><li>Experience working on policy-oriented or government-linked research</li></ul>
Required Documents<p></p><div><br>
<b>Academic:</b></div><div><br>
</div><div>1. Current Curriculum Vitae.
</div><div>2. Cover letter.
</div><div>3. Teaching, research, and service philosophy.</div><div>
4. Three referees&rsquo; contact information (physical and email addresses as well their telephones contact).</div><div>
5. Copy of highest earned credential (transcript of highest degree if graduated from an institution where course work was completed. However, if no course work was completed, an copy of certificate letter from the registrar of your highest credential granting institution regarding your highest academic degree).
</div><div>6. Any additional documentation that you feel is relevant to your application.</div>
Benefits<div></div><div><br>
</div><div><b>Academic:</b></div><div><br>
</div><div>1. A three-year renewable contract.
</div><div>2. Salary is commensurate with experience.</div><div>
3. Tax-free salary.
</div><div>4. Furnished accommodation in accordance with QU HR policies.</div><div>
5. Annual round trip air tickets for faculty member and dependents in accordance with QUHR policies.</div><div>
6. Educational allowance for candidate's children (eligible candidates only) in accordance with QU HR policies.</div><div>
7. Private health care and health insurance in accordance with QU HR policies.
</div><div>8. Annual leave in accordance with QU HR policies.
</div><div>9. End-of-contract indemnity.
</div>How To Apply
<div>1. <b>Returning Applicant:</b> Please login in QU Recruitment Online website (https://careers.qu.edu.qa) to update/edit your saved profile. Use this profile to apply for this position.</div><div>
2. <b>New Applicant:</b> You need to setup an account with QU Recruitment Online website (https://careers.qu.edu.qa) and complete your personal profile. Once your profile is complete you may use it to apply for an open Position.</div></div>

Associate Professor

University of Doha for Science & Technology

<div>
 <strong>
  <strong>
   Overview
   <br/>
   <br/>
  </strong>
 </strong>
 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&rsquo; 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.
 <br/>
 <br/>
 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&rsquo; skills and help develop talented graduates who can effectively contribute to a knowledge-based economy and make Qatar&rsquo;s National Vision 2030 a reality.
 <br/>
 <br/>
 Our eligible employees enjoy competitive compensation and benefits, in accordance with applicable UDST policies. These benefits include:
 <br/>
 <br/>
 <ul>
  <li>
   Generous academic annual leave
  </li>
  <li>
   Tax free salary
  </li>
  <li>
   Fully furnished upmarket accommodation (inclusive of utilities: water &amp; electricity)
  </li>
  <li>
   Annual flights for spouse and 3 children (up to 18 years old)
  </li>
  <li>
   Children&rsquo;s education allowance
  </li>
  <li>
   Relocation/Shipping allowance
  </li>
  <li>
   Professional development opportunities
  </li>
  <li>
   International health insurance
  </li>
  <li>
   In-house immigration services (to help you through the residency process)
  </li>
  <li>
   Full access to our recreational facilities
  </li>
  <li>
   Research and professional development support
   <br/>
   <br/>
  </li>
 </ul>
 The College of Computing and Information Technology (CCIT) invites applications for the position of Assistant/Associate Professor in Data Science and Artificial Intelligence . Exceptional candidates at the rank of Full Professor would also be considered.
 <br/>
 <br/>
 <strong>
  Your Commitment
  <br/>
  <br/>
 </strong>
 The primary role of the faculty members at the College of Computing and IT is to promote high-quality applied learning, innovative research, and service. Besides, he/she should collaborate with the college management and the rest of faculty to achieve the college's mission, deliver academic programs, pursue research, and engage in several administrative and academic services.
 <br/>
 <br/>
 Reporting to the Department Head, the successful candidate will be responsible for the development, delivery and evaluation of a broad range of courses within Data Science and Artificial Intelligence. Particular areas of interest include Machine Learning, Deep Learning, Visualization and Intelligent Interaction, Industrial and Business Analytics, IoT Software and Systems, and IoT Intelligence and Automation, but candidates with strong expertise in other areas related to Data Science and Artificial Intelligence will also be considered. Other duties include evaluation of student progress and management of resources of the learning environment. The successful candidate will liaise with industry and other educational institutions; participate in industry advisory committees and coordinate, manage and control projects within the specified program area. Faculty members will keep course portfolio documents required for accreditation processes and engage in instructional development/improvement plans. All faculty are expected to contribute to professional and community life within the university and beyond.
 <br/>
 <br/>
 <strong>
  <strong>
   Responsibilities
   <br/>
   <br/>
  </strong>
 </strong>
 <strong>
  Education and Experience Requirements
  <br/>
  <br/>
 </strong>
 Faculty members will be placed in the appropriate rank based on their education and experience (academic and/or industry). The broad criteria are provided below.
 <br/>
 <br/>
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  Education
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 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.
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  For Assistant Professor
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  <strong>
   Experience
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 <ul>
  <li>
   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.
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   An active research agenda evidenced by high-quality publications in top tier journals and conference proceedings.
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   Demonstrated leadership in building engagement and partnership with the profession and industry.
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   Preferred Qualifications
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   Professional Certification in Data Science and Artificial Intelligence.
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   Diploma in Education (e.g., Post-secondary Education, Adult Education, and Vocational Education) is preferred.
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   6+ years of employment experience as a practitioner/professional within the relevant discipline.
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   Experience in leadership and innovation in technology-based projects.
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  For Associate Professor
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  <strong>
   Experience
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  <li>
   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.
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   A distinguished research record and international reputation evidenced by high quality publications in mainly top tier journals.
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   Excellent record of supervising research students.
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   Demonstrated leadership in building engagement and partnership with the profession and industry.
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  </li>
 </ul>
 <strong>
  <strong>
   Preferred Qualifications
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   <br/>
  </strong>
 </strong>
 <ul>
  <li>
   Professional Certification in Data Science and Artificial Intelligence.
  </li>
  <li>
   Diploma in Education (e.g., Post-secondary Education, Adult Education, and Vocational Education) is preferred.
  </li>
  <li>
   10+ years of employment experience as a practitioner/professional within the relevant discipline.
  </li>
  <li>
   Teaching experience in post-secondary, adult training, or industry training environment.
  </li>
  <li>
   Experience in leadership and innovation in technology-based projects.
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  </li>
 </ul>
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   Other Required Skills:
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   A thorough knowledge and work experience in Machine Learning, Deep Learning, Natural Language Processing, Statistical Learning and Modeling, and IoT applications. Candidates with strong expertise in other areas of Data Science and Artificial Intelligence will be considered as well.
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   Commitment to applied and experiential learning as a pedagogy and a key feature of UDST&rsquo;s mandate.
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   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.
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   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.
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   Demonstrated ability to develop technology-enriched learning environments that enable students to be active participants in their own learning.
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   Commitment to the effectiveness, vitality, and self-renewal of the teaching profession through self-driven continuous professional development and life-long learning.
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   Effective oral and written communication skills.
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   Collaborative and collegial spirit and a demonstrated ability to establish rapport with learners, colleagues, sponsor-employers, and members of the community.
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   Ability to initiate applied research projects.
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  <strong>
   How To Apply
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 Applicants must meet all essential qualifications in order to be shortlisted for the position; other qualifications may be a deciding factor in the selection. Qualifications and experience will be assessed through your application, which may include but not be limited to curricula vitae, mock lectures, motivation letter, references, teaching dossiers and sample publications. It is the applicant&rsquo;s responsibility to provide appropriate examples that illustrate how s/he meets each requirement. Failing to do so could result in the application being rejected. We thank all applicants for applying for the role; only those selected for further consideration will be contacted.
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Assistant/ Associate Professor - Data Science and Artificial Intelligence

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