Post Doctoral Fellow, Meta-Analysis of SME Growth Studies
Top Benefits
About the role
Job Description:
About the Project
The SSHRC-funded HubMeta Lab project is undertaking the largest-ever meta-analysis of SME growth studies (over 2,500 full-text articles coded to date). We have uncovered extraordinary variability in how key constructs—such as firm size—are operationalized, with 65+ distinct measures documented. To advance cumulative knowledge in entrepreneurship, we are building an AI-assisted measurement taxonomy within our HubMeta platform.
About the Role
The Postdoctoral Fellow will lead the data cleaning, measurement taxonomy development, and AI-integration phases of the project. Reporting to the Principal Investigator (Dr. Hadi Fariborzi), you will design, implement, and validate a standardized library of constructs and measures; work closely with our PhD RAs and undergraduates; and ensure seamless deployment in the HubMeta system.
This is a full-time limited term position working 35 hours per week and ending July 24, 2026.
Responsibilities
Measurement Taxonomy
- Audit and harmonize existing variable codings across 2,500+ articles
- Develop hierarchical taxonomy of constructs (e.g., firm size, growth metrics)
- Define metadata standards and coding protocols
Platform Integration
- Collaborate with HubMeta developers to embed taxonomy in AI-assisted workflows
- Prototype and test automated classification scripts (Python/R)
- Document data pipelines and QA/QC procedures
Supervision & Training
- Mentor PhD-level and undergraduate RAs on taxonomy coding and platform use
- Lead weekly meetings with project team to review progress and resolve ambiguities
- Prepare training materials, codebooks, and user guides
Research & Dissemination
-
Co-author peer-reviewed manuscripts on taxonomy development and methodological advances
-
Present findings at the Academy of Management Annual Meeting (travel allowance: $6,000 CAD)
-
Contribute to grant reports and progress updates for SSHRC
Qualifications
-
PhD (awarded within the last 5 years) in Entrepreneurship, Strategic Management, Organizational Studies, Information Science, or related field
-
Demonstrated expertise in meta-analysis, systematic reviews, or quantitative synthesis methods
-
Hands-on experience with coding large datasets, developing taxonomies/ontologies, and implementing AI/ML classification pipelines
-
Proficiency in Python and/or R; familiarity with database management (SQL, NoSQL) strongly preferred
-
Excellent organizational skills, attention to detail, and commitment to data integrity
-
Strong written and oral communication; evidence of peer-reviewed publications
-
Ability to work collaboratively in a multidisciplinary, remote-capable research environment
Salary: Up to $49,000.00 per annum depending on experience
Closing Date: July 28, 2025
A cover letter and resume should be submitted in one .pdf document. Please title your .pdf document as follows: [Last Name], [Requisition Number], [Document Title].pdf (ex. Smith, 999999, CV.pdf).
About Mount Royal University
Welcome to Mount Royal University, where we foster a work environment of mutual respect, transparency and inclusiveness, and where talented and committed employees are the driving force behind student success. We believe we are stronger as a university when employees collaborate and bring diverse perspectives together.
We invest in the wellness and development of our employees, knowing that it benefits both the individual and the university as a whole. Our culture, along with many services, resources and programs, encourages a healthy, productive workplace.
As we strive to enhance our culture of innovation and excellence, we support faculty, staff and management to be innovative in their work -- in our classrooms and across our campus.
This is a place where employees feel a sense of community and belonging. Where people feel supported in their work and enjoy the friendliness and familiarity that only a small campus can provide.
Post Doctoral Fellow, Meta-Analysis of SME Growth Studies
Top Benefits
About the role
Job Description:
About the Project
The SSHRC-funded HubMeta Lab project is undertaking the largest-ever meta-analysis of SME growth studies (over 2,500 full-text articles coded to date). We have uncovered extraordinary variability in how key constructs—such as firm size—are operationalized, with 65+ distinct measures documented. To advance cumulative knowledge in entrepreneurship, we are building an AI-assisted measurement taxonomy within our HubMeta platform.
About the Role
The Postdoctoral Fellow will lead the data cleaning, measurement taxonomy development, and AI-integration phases of the project. Reporting to the Principal Investigator (Dr. Hadi Fariborzi), you will design, implement, and validate a standardized library of constructs and measures; work closely with our PhD RAs and undergraduates; and ensure seamless deployment in the HubMeta system.
This is a full-time limited term position working 35 hours per week and ending July 24, 2026.
Responsibilities
Measurement Taxonomy
- Audit and harmonize existing variable codings across 2,500+ articles
- Develop hierarchical taxonomy of constructs (e.g., firm size, growth metrics)
- Define metadata standards and coding protocols
Platform Integration
- Collaborate with HubMeta developers to embed taxonomy in AI-assisted workflows
- Prototype and test automated classification scripts (Python/R)
- Document data pipelines and QA/QC procedures
Supervision & Training
- Mentor PhD-level and undergraduate RAs on taxonomy coding and platform use
- Lead weekly meetings with project team to review progress and resolve ambiguities
- Prepare training materials, codebooks, and user guides
Research & Dissemination
-
Co-author peer-reviewed manuscripts on taxonomy development and methodological advances
-
Present findings at the Academy of Management Annual Meeting (travel allowance: $6,000 CAD)
-
Contribute to grant reports and progress updates for SSHRC
Qualifications
-
PhD (awarded within the last 5 years) in Entrepreneurship, Strategic Management, Organizational Studies, Information Science, or related field
-
Demonstrated expertise in meta-analysis, systematic reviews, or quantitative synthesis methods
-
Hands-on experience with coding large datasets, developing taxonomies/ontologies, and implementing AI/ML classification pipelines
-
Proficiency in Python and/or R; familiarity with database management (SQL, NoSQL) strongly preferred
-
Excellent organizational skills, attention to detail, and commitment to data integrity
-
Strong written and oral communication; evidence of peer-reviewed publications
-
Ability to work collaboratively in a multidisciplinary, remote-capable research environment
Salary: Up to $49,000.00 per annum depending on experience
Closing Date: July 28, 2025
A cover letter and resume should be submitted in one .pdf document. Please title your .pdf document as follows: [Last Name], [Requisition Number], [Document Title].pdf (ex. Smith, 999999, CV.pdf).
About Mount Royal University
Welcome to Mount Royal University, where we foster a work environment of mutual respect, transparency and inclusiveness, and where talented and committed employees are the driving force behind student success. We believe we are stronger as a university when employees collaborate and bring diverse perspectives together.
We invest in the wellness and development of our employees, knowing that it benefits both the individual and the university as a whole. Our culture, along with many services, resources and programs, encourages a healthy, productive workplace.
As we strive to enhance our culture of innovation and excellence, we support faculty, staff and management to be innovative in their work -- in our classrooms and across our campus.
This is a place where employees feel a sense of community and belonging. Where people feel supported in their work and enjoy the friendliness and familiarity that only a small campus can provide.