Development and validation of a modular construction risk intelligence platform - ON-1133

Genre de projet: Innovation
Discipline(s) souhaitée(s): Génie - informatique / électrique, Génie, Informatique, Sciences mathématiques
Entreprise: ModuRisk Inc.
Durée du projet: 4 à 6 mois
Date souhaitée de début: Dès que possible
Langue exigée: Anglais
Emplacement(s): ON, Canada
Nombre de postes: 1
Niveau de scolarité désiré: MaîtriseDoctorat
Ouvert aux candidatures de personnes inscrites à un établissement à l’extérieur du Canada: No

Au sujet de l’entreprise: 

ModuRisk is envisioned as the world’s first risk intelligence platform dedicated to industrialized construction methods. Through a well-designed SAAS, ModuRisk will being together developers, factories, lenders, insurers and other actors that typically work together in construction.

Collaborative risk management will unlock economies of scale that are only possible in a high risk business like contstruction, through effective shared accountability for risk management.

ModuRisk will provide the tools, playbook and support required for adoption of this framework.

It is an early stage startup that is currently focused on building a pilot suitable MVP and testing for market acceptance.

Veuillez décrire le projet.: 

ModuRisk is developing Canada’s first risk management platform purpose-built for modular and industrialized construction. The company’s goal is to provide a standardized framework. Similar to a “credit score” in finance, that helps governments, lenders, developers, and factories make more informed decisions about modular housing projects. By making risks visible, quantifiable, and comparable across projects, ModuRisk seeks to accelerate investment and confidence in this critical housing delivery method.

This project is an innovation initiative focused on advancing ModuRisk’s software platform and data model. The candidate will contribute to the development of an interactive risk assessment tool that integrates (1) a structured risk register covering the full lifecycle of modular construction projects, and (2) scoring algorithms that quantify risk exposure at each project stage. Tasks may include data structuring, user interface design support, literature review of modular construction risks, and contributing to the development of mitigation recommendation frameworks using AI-driven methods.

Methodologically, the project will combine applied research (review of modular construction case studies, industry best practices, and risk frameworks from adjacent industries) with technical development (supporting digital prototyping, data visualization, and scoring logic implementation). The candidate will also help refine ModuRisk’s innovation model, exploring how standardized risk assessment can be used to align stakeholders - factories, developers, shippers, lenders, and government, around a shared view of modular project risks.

The expected outcome is a more robust, evidence-based foundation for ModuRisk’s platform, supporting its pilot deployment with real industry partners. The project will give the candidate exposure to cutting-edge applications of risk management, data-driven construction innovation, and the scaling of modular housing in Canada.

Expertise ou compétences exigées: 

The ideal candidate should have a strong foundation in data analysis, risk modeling, and digital tool development. Specific skills include:

Data structuring and analysis: Ability to work with Excel, Python, or R for organizing datasets, building scoring frameworks, and conducting sensitivity analysis.

Software and prototyping: Familiarity with front-end development (React, JavaScript) or low-code platforms to support early-stage prototyping of the ModuRisk tool.

Research skills: Experience conducting literature reviews, synthesizing findings, and applying frameworks from construction, finance, or risk management.

Communication skills: Ability to clearly document methodologies, findings, and insights for both technical and non-technical audiences.

Assets (optional):

Knowledge of construction management, modular/offsite construction, or prefabrication methods.

Exposure to risk assessment frameworks (e.g., FMEA, 5×5 risk matrices, credit risk models).

Experience with data visualization tools such as Tableau, Power BI, or D3.js.

Interest in applying AI/ML methods (e.g., natural language processing for risk mitigation suggestions).

This project is well-suited for a graduate student with an interdisciplinary background, combining technical competence in data/software with curiosity about how digital innovation can transform construction and housing delivery.