Post Doctoral Fellow, Meta-Analysis of SME Growth Studies
Post Doctoral Fellow, Meta-Analysis of SME Growth Studies
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Job Description
About the Project
The SSHRC-funded HubMeta Lab project is undertaking the largest-ever meta-analysis of SME growth studies (over 2500 full-text articles coded to date). We have uncovered extraordinary variability in how key constructssuch as firm sizeare 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 2500 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: $6000 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 $49000.00 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 (ex. Smith 999999 ).
Employment Type
Temp
