Area: Large-domain hydrological modelling and predictions
Duration: 1 year with possibility of extension
Start date: April 2026 or negotiable
Salary: $ 65,000 CAD per annum, plus University of Calgary Plan C health benefits
The Department of Civil Engineering in the Schulich School of Engineering at the University of Calgary is accepting applications to recruit two (2) Postdoctoral Scholars in large-domain hydrological modelling and predictions. The successful applicant(s) will join an active computational hydrology research group and will work with Dr. Alain Pietroniro and Dr. Martyn Clark.
Job Description::
The postdoctoral scholar(s) will plan, organize, and conduct research under the supervision of the principal investigators. The successful applicant(s) will:
- Evaluate alternative large-domain multi-model configurations of the large-domain hydrologic models on the basis of both scientific validity and operational feasibility
- Collaborate with the principal investigator on analyzing, interpreting, and and data for publication in professional journals.
- Work with the PIs and external partners to identify pathways for broader adoption of next generation prediction models
- Demonstrate a high level of research performance through effective sharing and discussions of ideas in a highly collaborative environment that includes industrial and government partners.
- Be expected to identify emerging research opportunities and assist in the completion of grant applications, reporting, and project administration, as required.
The position of is a full-time appointment, 40 hours per week, Monday to Friday, 8 hours per day. Flexible work hours and remote working arrangements are possible to accommodate critical deadlines.
Qualifications:
- PhD Degree (Environmental; Engineering; Hydrology, or related) is required. Near completion candidates are also welcome to apply.
- Experience with programming in Fortran and Python.
- Experience with collaborative model development using GitHub.
- Experience with processing large datasets.
- Experience with high performance computing capabilities.
- The candidate will demonstrate strong communication, analytical and organizational skills.
- Intermediate skills in using Microsoft Word, Excel and Access
- Effective time and project management skills, including the ability to set priorities, meet timelines and deadlines
- Knowledge of University core business systems is desirable
- A positive attitude and the ability to work independently and effectively as part of a team are critical to success
- Have a track record in peer reviewed publications in leading journals.
