Postdoctoral Fellowship in Hydrologic Data Assimilation

Website University of Toronto

Department of Chemical and Physical Sciences

Start date: October 15, 2021 or as soon as possible thereafter
Duration: 2 years. Second year of hiring contingent upon successful progress in year 1.
Salary: $55,000 per annum
Academic Unit: Department of Chemical and Physical Sciences, University of Toronto Mississauga (UTM)
Supervisors: Dr. Xiaoyong Xu (UTM) and Dr. Steven Frey (Aquanty at Waterloo)

Description:
We seek a postdoctoral fellow to participate in an exciting project fully funded by the Canadian Space Agency (CSA). This project focuses upon multi-scale analyses of satellite soil moisture data and their integration with fully integrated surface water – groundwater modeling via advanced data assimilation technologies. The scientific objective is to exploit the potential of state-of-the-art satellite soil moisture data in developing and advancing physically based groundwater-surface water computational models, thus providing evidence-based support for a better understanding of the physical processes that govern water movement in both the surface and subsurface domains of the Earth system.

This position is ideal for a collaborative self-starter with research interests that encompass elements of hydrologic modeling, remote sensing, data assimilation, groundwater-surface water interactions, etc. The PDF position will be based at UTM. The successful candidate will work closely with Dr. Xiaoyong Xu’s group at UTM and Dr. Steven Frey’s Aquanty team. The PDF will spearhead cutting edge satellite hydrologic data analyses and numerical modeling, with specific focus on assimilation of satellite soil moisture in a fully integrated three-dimensional surface/subsurface model. The PDF will also be responsible for leading or co-leading peer-review manuscripts, supervising research assistants, and daily project management.

Qualifications:

  • Ph.D. in hydrology/hydrogeology or a closely related discipline, with strong programming skill.
  • Significant experience with scientific programming as applied to the analysis and processing of earth system scientific data.
  • Significant research experience in two or more of the following areas: hydrological modeling, hydrologic remote sensing, data assimilation, and groundwater-surface water interactions.
  • Experience developing innovative scientific algorithms for hydrologic data assimilation is desirable.
  • Track record of technical and scholarly excellence as demonstrated through publications.
  • Ability to work effectively both independently and as part of a team.

To apply: Interested applicants should email xiaoyong.xu@utoronto.ca with a single PDF file containing:

  • A cover letter describing your experiential and research background, interests and qualifications as aligned with the content above
  • A full curriculum vitae
  • Contact information for 2 references
  • One first-authored sample publication

Closing date: The position will remain open until filled.

Diversity Statement
The University of Toronto is strongly committed to diversity within its community and especially welcomes applications from racialized persons / persons of colour, women, Indigenous / Aboriginal People of North America, persons with disabilities, LGBTQ2S+ persons, and others who may contribute to the further diversification of ideas.

Accessibility Statement
The University strives to be an equitable and inclusive community, and proactively seeks to increase diversity among its community members. Our values regarding equity and diversity are linked with our unwavering commitment to excellence in the pursuit of our academic mission.

The University is committed to the principles of the Accessibility for Ontarians with Disabilities Act (AODA). As such, we strive to make our recruitment, assessment and selection processes as accessible as possible and provide accommodations as required for applicants with disabilities.

If you have questions about this position, please contact Dr. Xiaoyong Xu (xiaoyong.xu@utoronto.ca).

To apply for this job email your details to xiaoyong.xu@utoronto.ca