[ES_JOBS_NET] 30 new Postdoc and PhD positions in Canada in Computational Hydrology at the University of Saskatchewan and the University of Calgary

[Marysa Laguë]

*30 new positions in Computational Hydrology at the University of
Saskatchewan (USask) and the University of Calgary (UCalgary), Canada*

Details attached and at: https://uofs-comphyd.github.io/join/

Applications due *15 January 2023*. The desired start date is during the
period July-September 2023.


*Details:*

We are seeking multiple highly motivated PhD students and postdoctoral
fellows across several new projects in computational hydrology coordinated
by Prof. Martyn Clark (USask) and Prof. Alain Pietroniro (UCalgary).
Successful candidates will be part of the new water group in the Department
of Civil Engineering at UCalgary <https://schulich.ucalgary.ca/civil> or
the Centre for Hydrology at USask
<https://research-groups.usask.ca/hydrology/>. Depending on the research
topic, the successful candidates will also work with Raymond Spiteri,
Andrew Ireson, Karl-Erich Lindenschmidt, and John Pomeroy (USask) and
Tricia Stadnyk, Simon Papalexiou, Jennifer He and Qi Zhou (UCalgary). The
successful candidates will work together as a team to improve our
capability to simulate and predict hydrological processes across diverse
temporal and spatial scales.

These are full-time 4-year positions (PhD students) and 2-year positions
(Postdoctoral fellows). Candidates at UCalgary will work at the University
of Calgary campus (Calgary, Alberta); candidates at USask can select their
primary work location with the Centre for Hydrology as either at the
Canadian Centre for Water Forecasting and Prediction on the University of
Saskatchewan campus (Saskatoon, Saskatchewan) or the Coldwater Laboratory
in the Canadian Rockies (Canmore, Alberta). The focus of the work is
flexible and can be tailored to suit the skills and interests of the
successful candidates. Because of the computational focus of the work, a
strong background in hydrological modelling, scientific software
development, or high-performance computing is required. The desired
qualifications and skills for PhD students and postdoctoral scholars are
defined at the end of this announcement.
What you will do:

Broadly speaking, the work will focus on designing and implementing various
water resources modelling and prediction tools, assessing and improving
their performance across a range of hydrological environments using in-situ
and remote sensing data, benchmarking observations from research basins,
running large-domain simulations on supercomputers, and working with users
to improve the value of modelling and prediction products for water
resources planning and management. The successful candidates will have the
opportunity to work on many different aspects of hydrological science,
including cold regions processes, uncertainty quantification, isotope
tracer modelling, stochastic modelling, and water quality prediction. The
specific research focus will be determined based on the new hire’s skills,
interests, and career/learning goals. It is expected that the new hires
will present their research findings at international conferences and
publish them in international journals.
Research environment:

Our research groups build tools to simulate and predict hydrological
processes on spatial scales from hillslopes to continents and time scales
from seconds to centuries. Some of our example contributions include
ensemble forcing data for large-domain hydrological models, multi-scale
modular hydrological models, continental-domain network routing models,
ensemble methods for data assimilation, and process-based methods for model
benchmarking and model evaluation. Much of our model development work is
targeted toward applications in ensemble streamflow forecasting, water
security assessments, diagnostic evaluations of hydrological change, water
quality modelling, and improving how hydrological processes are represented
in Earth System models.

We are committed to providing a safe, positive, respectful, accessible, and
non-discriminatory workplace for everyone by ensuring that the Equity,
Diversity, Inclusion, Accessibility culture thrives within our research
teams. The following principles shape our research environment: Equity –
the research environment is most effective if each team member has the
opportunity for intellectual and personal growth; Diversity – the research
environment is most effective if it includes people with different
backgrounds, perspectives, and world views; Inclusion – the research
environment is most effective where all team members trust each other,
support each other, and work together closely to help each other succeed;
Accessibility – the research environment supports programs, services, and
products so they are accessible to people living with various abilities. We
recognize that preferred scientific approaches may differ for individuals
and institutions, and rigorous yet constructive dialog about such
differences are both welcome and encouraged.
Desired qualifications and skills:

*PhD students* should have a recent MSc degree in hydrology, civil
engineering, geography, environmental science, earth science, computer
science, physics, or related discipline, and meet some of the following
criteria:

   - Demonstrated capability to complete high-quality research.
   - Knowledge of hydrological and water resources modelling and
   forecasting.
   - Experience handling large and heterogeneous geophysical datasets.
   - Competence in data preparation/analysis/visualization with Python, R,
   or a similar scripting and visualization language.
   - Competence in using Linux environments.
   - Experience with high performance computing.
   - Experience in programming with C/C++ or Fortran for model development
   & debugging.
   - Experience in software engineering best practices such as unit
   testing, use of modern version control systems, such as git, use of
   profilers / debuggers, etc.
   - Experience and dedication to open science.
   - Ability to communicate clearly, concisely, and effectively in both
   spoken and written English.
   - Sharp analytical abilities and problem-solving skills.
   - Record of positive contributions in a team environment.
   - Ability to multi-task and prioritize workload.
   - Interest in science communication (e.g., blog posts, social media, and
   media interviews).

*Postdoctoral scholars* should have a recent Ph.D. degree (0-3 years of
postdoctoral experience) in hydrology, civil engineering, geography,
environmental science, earth science, computer science, data science,
physics, or related discipline, and meet some of the following criteria:

   - Demonstrated record of high-quality research and publication.
   - In-depth knowledge of hydrological and water resources principles,
   modeling and forecasting.
   - Experience handling large and heterogeneous geophysical datasets.
   - Strong competence in data preparation/analysis/visualization with
   Python, R, or a similar scripting and visualization language.
   - Competence in using Linux environments.
   - Experience with high performance computing.
   - Strong competence in programming with C/C++ or Fortran for model
   development & debugging.
   - Competence in software engineering best practices such as unit
   testing, use of modern version control systems, such as git, use of
   profilers / debuggers, software development etc.
   - Experience and dedication to open science.
   - Ability to communicate clearly, concisely, and effectively in both
   spoken and written English.
   - Sharp analytical abilities and problem-solving skills.
   - Demonstrated leadership abilities and record of positive contributions
   in a team environment.
   - Ability to work with minimal supervision, multi-task, and prioritize
   workload.
   - Interest in mentoring junior team members.
   - Interest in science communication (e.g., blog posts, social media, and
   media interviews).

How to apply:

If interested in these positions, please send a cover letter explaining
your interests and experience in computational hydrology, your CV, and a
list of three references to Joy Mitsogianni (joy.m at usask.ca) before 15
January 2023 with “Computational Hydrology Positions” on the subject line.
Other material may be requested after applications are reviewed. The
desired start date is during the period July-September 2023.




-- 
Marysa Laguë
Adjunct Assistant Professor
Department of Atmospheric Sciences
University of Utah
marysalague.com

The University of Utah is located on the traditional and ancestral homeland
of the Shoshone, Paiute, Goshute, and Ute Tribes. The University of Utah
recognizes and respects the enduring relationship that exists between many
Indigenous Peoples and their traditional homelands. We respect the
sovereign relationship between tribes, states, and the federal government,
and we affirm the University of Utah’s commitment to a partnership with
Native Nations and Urban Indian communities through research, education,
and community outreach activities.
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