| College/Department Profile | | |
| | Qatar University Profile: Qatar University is the premier national institution of higher education with a mission to produce well-rounded graduates with academic knowledge of quality and excellence coupled with a keen spirit of volunteerism and civic responsibility. This is underpinned by committed leadership and an experienced and motivated faculty and staff body. Office Profile: The Social and Economic Survey Research Institute (SESRI), with a research and an educational mission, has been established at Qatar University to conduct high-quality survey research of current and future social and economic issues. SESRI is an initiative of Qatar University, in association with the Institute for Social Research (ISR ) at the University of Michigan. Founded in 1977, Qatar University (http://www.qu.edu.qa/) is the national university of the state of Qatar, an established and dynamic institution dedicated to academic and research excellence. Established in 1948, the University of Michigan's Institute for Social Research (http://www.isr.umich.edu/) is among the world's oldest academic survey research organizations, and a world leader in the development and application of social science methodology. |
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| Duties & Responsibilities | | |
| | Job Summary - The Research Assistant/Associate Professor is responsible for developing and implementing research projects
- Ensuring the data processing and data analysis capabilities of SESRI
- Coordinating and providing technical direction for the analysis of data collected in each survey undertaken by SESRI
- Initiating and directing efforts to ensure accuracy and, where appropriate, to promote innovation in measurement and instrument design
- Managing SESRI's data archiving activities
Key Responsibilities - Developing and administering procedures for all data processing, analysis, and management operations
- 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
- 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
- Participating in writing papers, articles, and research reports that present findings from surveys undertaken by SESRI
- 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
- Providing support and mentoring to Research Assistants in the course of their work
- Participating actively in SESRI events, such as conferences, training workshops, and public lectures
- Participating in teaching if needed in accordance with QU policies and procedures
- Performing all other duties as assigned
|
| Duties & Responsibilities | | |
| | Job Summary - The Research Assistant/Associate Professor is responsible for developing and implementing research projects
- Ensuring the data processing and data analysis capabilities of SESRI
- Coordinating and providing technical direction for the analysis of data collected in each survey undertaken by SESRI
- Initiating and directing efforts to ensure accuracy and, where appropriate, to promote innovation in measurement and instrument design
- Managing SESRI's data archiving activities
Key Responsibilities - Developing and administering procedures for all data processing, analysis, and management operations
- 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
- 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
- Participating in writing papers, articles, and research reports that present findings from surveys undertaken by SESRI
- 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
- Providing support and mentoring to Research Assistants in the course of their work
- Participating actively in SESRI events, such as conferences, training workshops, and public lectures
- Participating in teaching if needed in accordance with QU policies and procedures
- Performing all other duties as assigned
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| Required Documents | | |
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Academic:- Current Curriculum Vitae with Cover letter.
- Teaching,research, and service philosophy.
- Three referees contact information (physical and email addresses as well their telephones contact).
- 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).
- Any additional documentation that you feel is relevant to your application.
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| Benefits | | |
| | Academic:- A three-year renewable contract.
- Salary is commensurate with experience.
- Tax-free salary.
- Furnished accommodation in accordance with QU HR policies.
- Annual air tickets for faculty member and dependents in accordance with QU HR policies.
- Educational allowance for candidate's children (eligible candidates only) in accordance with QU HR policies.
- Private health care and health insurance in accordance with QU HR policies.
- Annual leave in accordance with QU HR policies.
- End-of-contract indemnity.
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