University of Guelph – Postdoctoral Fellow in Multivariate Methods for Complex and Heterogeneous Data
Company NameUniversity of Guelph
Position TitlePostdoctoral Fellow in Multivariate Methods for Complex and Heterogeneous Data
Company Information
The Department of Mathematics and Statistics at the University of Guelph invites applications for a Postdoctoral Fellow specializing in multivariate statistical methods. This role focuses on addressing the challenges of complex, heterogeneous data within the One Health framework.
Duties and Responsibilities
The successful candidate will join the research group of Dr. Elif Acar, contributing to the development of advanced statistical frameworks and computational tools for analyzing high-dimensional biological and environmental data. The position will specifically focus on:
- Development of multivariate models for mixed data types and dependence structures.
- Integrative analysis of correlated phenotypes in studies of model organisms.
- Interdisciplinary collaboration in biological and environmental sciences.
Position Qualifications
- A PhD in Statistics, Biostatistics, or a related field (completed by December 31, 2026).
- A strong foundation in multivariate analysis and statistical computation.
- Proficiency in software development in R/Python.
- Experience with high-dimensional mixed data types or integrative methodologies is desirable.
Salary RangeSalary commensurate with qualifications
Benefits
The position includes the University of Guelph's benefits package for Postdoctoral Scholars. Details are available at https://graduatestudies.uoguelph.ca/postdoctoral/benefits-services.
Position or Company Websiteuoguelph.ca
Application Instructions
Please submit the following materials to eacar@uoguelph.ca with the subject line "Postdoc Application":
1. Cover Letter
2. Curriculum Vitae
3. Research Statement (max 2 pages)
4. References: Contact information for three academic referees.
Review of applications will begin immediately and continue until the position is filled.