Postdoctoral Fellow,
OMNI-RÉUNIS & York University Research Projects 2 positions POSITION SUMMARY OMNI-RÉUNIS and
York University, is
seeking to fill two post-doctoral fellowship positions across Canada to build
capacity in modelling of infectious diseases with a one-health lens. Successful
candidates will work at the interface of mathematics/statistics, epidemiology,
and public health to design and analyze mathematical/statistical models through
an infection spectrum from early detection to mitigation. They will work with
interdisciplinary committees of scientists and public health experts to produce
simulation data and inform public health policy. Postdoctoral fellows will
communicate their results through high-impact publications, conference
presentations, and knowledge transfer events such as public seminars and other
outreach activities.
ABOUT OMNI-RÉUNIS The One Health Modelling Network for Emerging Infections (OMNI)/Réseau une seule santé sur la modélisation des infections (RÉUNIS), OMNI-RÉUNIS for short, is a newly established network born out of the COVID-19 pandemic. The network is led by three Co-Directors, Dr. Huaiping Zhu, York University, Dr. Hélène Carabin, Université de Montréal and Dr. Mark Lewis, University of Alberta, experts in research, mathematical modelling and biology, and veterinary science. The Canadian Centre for Disease Modelling at York University is proud to host OMNI-RÉUNIS. Our mission is to build a modelling network that will enhance Canada's early detection, warning, and response to emerging infectious diseases by systematically incorporating a multi-species, multi-system One Health approach into our thinking, modelling research and training capacity while also recognizing the unique impact emerging infectious diseases has on Indigenous peoples and their communities. OMNI-RÉUNIS's vision is to ensure that our enhanced modelling capacity and interdisciplinary research collaborations fostered by our network will lead to rigorous science-informed policy decision-making across global and national academic and public spaces during and after the COVID-19 pandemic. We will achieve this through One Health-enhanced infectious disease modelling expertise, capacity building of highly qualified personnel (HQP), and effective Knowledge Transfer (KT) strategies. Funded by the Natural Sciences and Engineering Research Council of Canada (NSERC) and the Public Health Agency of Canada (PHAC), OMNI-RÉUNIS is part of the broader Emerging Infectious Diseases Modelling (EIDM) initiative. Our network plays a unique role in the EIDM consortium as the lead in systematically incorporating One Health in our endeavours by using multidisciplinary knowledge about the connections between environmental, animal, and human Health to refine the disease modelling used to identify pathogens early. Our research projects focus on five themes: Data Management, Risk for Emergence and Spillovers, Early Warning Systems of Emerging Infectious Diseases, Intervention and Control, and Indigenous Peoples Health and Wellbeing. Our English and French acronyms of the network, OMNI and RÉUNIS, symbolize universality and the bringing together of people and ideas. This is precisely what we have done, having amassed a robust network of interdisciplinary experts committed to a One Health approach to stopping emerging infectious diseases (EIDs) at all levels. OMNI-RÉUNIS
is geographically broad with 100+ network members and Co-Applicants from 10
provinces from coast to coast from 23 academic institutions and collaborators
from 28+ national and international organizations. Their expertise ranges from
public health, infectious diseases, epidemiology, human health, animal health and
wildlife, and indigenous and climate-related health outcomes.
FUNDED RESEARCH PROJECTS *For project details, please visit our website www.omni-reunis.ca
QUALIFICATIONS & SKILLS ●
PhD
in applied mathematics, statistics, computer science, data science or a related
field (essential) ●
Demonstrated
mathematical modelling, statistics, or data analysis capacities using
data-driven quantitative analyses, differential equations, stochastic
modelling, and/or mixed-effects modelling (essential) ●
Experience
in epidemiology or One Health (desired) ●
Good
oral and written communication skills TO APPLY To ensure full
consideration, please submit application materials at your earliest
opportunity. Review of the applications
will start immediately and will continue until the position is filled. You are asked to apply and submit the pdf
files to https://www.mathjobs.org/jobs/list/19028 to apply:
If you have any
questions, please contact Natasha Ketter, Program Manager of OMNI-RÉUNIS at nketter@yorku.ca.
OMNI-RÉUNIS is hosted by York University and is committed
to the university’s Equity, Diversity, and Inclusion Action Plan. OMNI-RÉUNIS
welcomes applications from all qualified individuals, including individuals
within the University's employment equity categories of women, persons with
disabilities, members of visible minorities and aboriginal persons, individuals
of diverse gender and sexual orientation and all groups protected by the Human
Rights Code. OMNI-RÉUNIS is committed to employment equity and diversity and a
positive and supportive environment. OMNI-RÉUNIS offers accommodation for
applicants with disabilities in its recruitment processes. If you are contacted
by OMNI-RÉUNIS regarding a job opportunity or testing, please advise if you
require accommodation.
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