The research project (Data Analysis of R&D Partnerships to Design a DecisionMaking Support System) is based at York University, Toronto, Canada, and is planned to be undertaken over a period of two years.
Postdoctoral Fellow/Research Associate
A recently completed (within the last three years) Ph.D. in Operations Management, Strategic Management, Decision Sciences, Applied Mathematics, Operations Research, Management Science, Industrial Engineering, or related field is a minimum requirement. Advanced knowledge of, and demonstrably significant experience with, data analysis and numerical analysis using a computer programming software (e.g., R, Mathematica, MATLAB, Maple) is required. Knowledge of or experience with R&D management (particularly in the medical device and/or pharmaceutical industries) is preferred. Experience analyzing patent data is also preferred. The postdoctoral fellow is expected to conduct the following two tasks at least: (Task 1) find a new research topic and play a leadership role in conducting the research; (Task 2) help our current ongoing research project on data analysis of R&D partnerships.
This will be a 12-month appointment and is expected to be extended by up to an additional 12 months. In view of present restrictions for travel into Canada arising from the ongoing COVID-19 crisis, the initial 3-6 months of the engagement might be carried out remotely if the candidate is not currently in Canada. The succeeding months of the engagement will shift to Toronto, Canada once travels to Canada are allowed. While the engagement is initially outside of Canada, the Research Associate will receive compensation equivalent to CAD 2,000 per month. Upon commencing the engagement in Toronto, Canada, a Postdoctoral Fellow (Postdoctoral Visitor) appointment will be issued, with monthly compensation of CAD 4,100 or more. The indicated amounts of compensation are subject to final budgetary approval. The research project is supported by the Natural Sciences and Engineering Council of Canada (NSERC).
Please send as soon as possible (1) a letter of application detailing knowledge/experience with data and numerical analysis, R&D management, and medical device/drug sectors (addressed to Professor F. Toyasaki), (2) an up-to-date CV placing emphasis on the candidate’s qualifications that are relevant to the stated requirements, and (3) a list of references including contact information by email to Professor F. Toyasaki (firstname.lastname@example.org) with cc to Professor A. Richard (email@example.com) and to Professor M. Rungtusanatham (firstname.lastname@example.org).
Dr. Toyasaki has been conducting research in the area of sustainable supply chain designs involving environmental and disaster/emergency issues. His current research interests include: data analysis of R&D partnership, production capacity management for vaccines, supply chain designs in disasters/emergencies, the interaction between fundraising and humanitarian operations, and supply chain risk management. His works have been published in leading academic journals and recorded high citation counts. Many of his previous and current research projects have been supported by the Natural Sciences and Engineering Research Council of Canada (NSERC) and the Canadian Institutes of Health Research (CIHR).