Employment & Opportunities

Research Assistant - Climate Services

The Canadian Centre for Climate Services (CSCS)

The Canadian Centre for Climate Services has released a call for applications for Masters and PhD students with an interest in climate science and adaptation through the Research Affiliate Program. 

Information on the position, as well as a link to the application system, can be found here. 

Four Postdoctoral Positions in Climate Science

Bolin Centre for Climate Research - Stockholm University

Bolin Centre is pleased to announce new opportunities as part of “Bolin post-doctoral fellow” program. The call is broad, and candidates can freely choose a research theme within the Centre. They encourage applications that involve several departments and interdisciplinary activities.

The call is very broad and spans all of our four Research Themes (RTs):

• RT 1 – The physical-chemical climate system
• RT 2 – Water, biogeochemistry and climate
• RT 3 – Past climates
• RT 4 – Climate, ecosystems and biodiversity

Additional information and application instructions can be found here.

Postdoctoral and MSc/PhD positions in Climate Modelling

University of Quebec in Montreal / University of Toronto

Post-doctoral Position

Employer: Université du Quebec à Montreal (UQAM) or University of Toronto
Location: Montreal, Quebec and/or Toronto, Ontario and/or Victoria, British Columbia, Canada
Education Level: PhD
Job type: Postdoctoral Fellow
Salary: up to 60,000 CA$/yr negotiable and depending on experience (candidates coming from abroad are eligible for tax breaks in Quebec).
Term: Full Time, 1 year, with possibility for renewal up to a total of 3 years
Requirements: 

• PhD in physics, climate sciences, meteorology, oceanography or a related field. 
• Excellent research track record with publications in peer-reviewed journals;
• Advanced knowledge of high performing computers;
• Advanced knowledge in climate modeling, including installation and configuration;
• Advanced knowledge of programming languages like FORTRAN;
• Knowledge of Python, Matlab, Unix.
• Strong communication skills (oral and written) in English

Assets:

• Knowledge of the following climate models: CanESM, CESM, WACCM, WRF-SC or other models;
• The postdoctoral candidates are expected to have strong computational skills, an excellent publication record, a high level of independence, curiosity and creativity, and an interest in working in an international and interdisciplinary research environment.

MSc/PhD Position 
Employer: Université du Quebec à Montreal (UQAM) or University of Toronto
Location: Montreal, Quebec and/or Toronto, Ontario
Education Level: Msc
Salary: up to 25,000 CA$/yr, depending on university support levels 
Term: Full Time, up to 4 years.
Requirements:

• BSc/MSc in physics, climate sciences, meteorology, oceanography or a related field. 
• Knowledge in postprocessing model outputs
• Knowledge of Python, Matlab, Unix.
• Strong communication skills (oral and written) in English

Assets:

• Knowledge of the following climate models: CanESM, CESM, WACCM, WRF-SC or other models; 
• Knowledge of high performance computers;
• Knowledge of programming languages like FORTRAN.

The successful candidates will work on the project Constraining Nuclear War Fire Emissions and their Impacts on the Climate System with Profs. Francesco S.R. Pausata at UQAM, Paul Kushner and Jon Abbatt at UofT, and in close collaboration Drs. Knut von Salzen and Cynthia Whaley at Environment and Climate Change Canada in Victoria, BC.
This project also involves collaborations with several colleagues and institutions in the USA and UK.
 
The successful candidates will be hosted either at the Department of Earth and Atmospheric Sciences of UQAM in Montreal or at the University of Toronto, with the possibility of working at both campuses, and also with research stays in Victoria. The candidate will benefit from direct interaction with the extended research group at the Center for the Study and Simulation of Climate at Regional Scale (ESCER) and the Geotop Research Center on the Dynamics of the Earth System.

The selected candidates will join a broad, equitable, inclusive and diverse group of researchers. We welcome applications from all qualified persons, and we encourage women, First Nations, Métis and Inuit, members of visible minority groups, persons with disabilities, persons of any sexual orientation or gender identity and expression, and all those who may contribute to the further diversification of ideas to apply.

How to Apply
The application must include (in a single PDF) a cover letter, a short statement of your research interests (1 page max), a complete CV (with academic transcripts for the Msc/PhD position) and the contact information of three references to support the candidacy. For any question regarding these positions, please contact Francesco S.R. Pausata ( ). 
All material in one PDF must be sent to by July 10 2023.

News & Events

PhD Defense: Masoumeh Ghahramani

Title: Improved Empirical and Numerical Predictive Modelling of Potential Tailings Dam Breaches and Their Downstream Impacts

Date & Time: June 29th at 9:00am

Location: Room 200 - Graduate Student Centre

PhD Defense: Birgit Rogalla

Title: Tracing Ocean Pathways: Modelling Manganese and Lead in the Canadian Arctic

Date & Time: June 29th at 12:30pm

Location: Room 200 - Graduate Student Centre

IOS Seminar: Tools for operational biogeochemical ocean reanalysis production for the Arctic Ocean

Speaker: Dr. Tsuyoshi Wakamatsu

Date & Time: June 27th at 10:30am

Location: IOS Auditorium / Zoom 

Talk Description: The first phase of operational production of the Arctic Ocean biogeochemical state from 2007 to 2021 for the EU Copernicus Marine Service is ending and BGC reanalysis system for its second phase production is currently under development at NERSC. During the phase one production, BGC reanalysis for the Arctic Ocean faced the following problems: 1. Large model bias in BGC state against satellite ocean color data, 2. Small number of in-situ BGC data, 3. Instability in ensemble data assimilation system. In order to mitigate these problems, we have developed various tools for supplementing our default ensemble data assimilation system. In this talk, quick overview on our BGC reanalysis system and its supplementing tools will be given.  Topic includes 1. Joint state and parameter estimation with Ensemble Kalman smoother, 2. Generation of artificial BGC Argo float data by machine learning and 3. dynamic ecoregionalization of the Arctic Ocean based on ocean model output.