Post-Doctoral Opportunities:
Identifying Causes of Hydrological Disturbances Under a Changing Climate: A Statistical Machine Learning Approach
Postdoctoral Fellow Position:
Identifying Causes of Hydrological Disturbances Under a Changing Climate: A Statistical Machine Learning Approach
Identifying Causes of Hydrological Disturbances Under a Changing Climate: A Statistical Machine Learning Approach
The Department of Earth, Ocean, and Atmospheric Sciences in collaboration with the Departments of Statistics at UBC and Simon Fraser University invites applications for a recently (CANSSI CRT) funded Post-Doc position on “Identifying Causes of Hydrological Disturbances Under a Changing Climate: A Statistical Machine Learning approach”.
Project Aim:
The research will be conducted under the supervision of Dr. Ali Ameli and will include interactions with a collaborative mentoring team comprised of investigators at UBC’s Statistics and SFU’s Statistics spanning expertise in Hydrology, Climatology, Functional Data Analysis, and Gaussian Processes. The successful candidate will develop new generalizable statistical learning tools using multivariate functional data to 1) identify causes and consequences of hydrological disturbances (e.g., flood, drought, drought-driven wildfire); 2) identify individual and interactive controls on landscape vulnerability to multi-dimensional hydrological disturbances; and 3) explore bi-directional feedbacks between hydrological disturbances and the functions of earth systems. In doing so, the successful candidate will work with a recently-developed database. Opportunities are available for professional development in grant writing, scientific communication, mentorship and leadership.
The Ideal Candidates Will Have:
Candidates from disciplines including, Civil, Geological or Environmental Engineering, Statistics, Computer Science, Earth Sciences, Environmental Sciences, Physical Geography, Forestry and similar disciplines are encouraged to apply.
Research Group:
The host research group HydroGeoscience for Watershed Management (HG-WM), at the Department of Earth, Ocean, and Atmospheric Sciences, is an interdisciplinary research group lead by Dr. Ali Ameli. The group uses mechanistic and statistical modelling approaches to generate scientific evidence required to inform watershed management and to regulate the environmental impacts of climate change. The research group is a part of UBC’s Geological Engineering program – a program with over 100 years of rich history.
For more information, please visit: www.hydrogeosciencewatershedmanagement.com/
Applications should include: i) a cover letter with detailed explanations on how the applicant meets the requirements for the position, ii) a curriculum vitae, iii) academic transcripts, and iv) the names and contact information of three professional references. Application materials should be combined into a single PDF document and be sent to Hg.wm.contact@gmail.com, by Monday, February 1, 2021.
Project Aim:
The research will be conducted under the supervision of Dr. Ali Ameli and will include interactions with a collaborative mentoring team comprised of investigators at UBC’s Statistics and SFU’s Statistics spanning expertise in Hydrology, Climatology, Functional Data Analysis, and Gaussian Processes. The successful candidate will develop new generalizable statistical learning tools using multivariate functional data to 1) identify causes and consequences of hydrological disturbances (e.g., flood, drought, drought-driven wildfire); 2) identify individual and interactive controls on landscape vulnerability to multi-dimensional hydrological disturbances; and 3) explore bi-directional feedbacks between hydrological disturbances and the functions of earth systems. In doing so, the successful candidate will work with a recently-developed database. Opportunities are available for professional development in grant writing, scientific communication, mentorship and leadership.
The Ideal Candidates Will Have:
- Sound knowledge of statistical methods for causal inference
- Experience with learning from high-dimensional data and/or multivariate functional data
- Experience with model scripting/programming
- Basic knowledge of GIS tools and techniques
- Excellent communication skills in English
- Basic knowledge of hydrology and climate sciences (an asset, but not necessary)
- A strong interest in writing manuscripts related to hydro-climatology and climate change impact assessment
Candidates from disciplines including, Civil, Geological or Environmental Engineering, Statistics, Computer Science, Earth Sciences, Environmental Sciences, Physical Geography, Forestry and similar disciplines are encouraged to apply.
Research Group:
The host research group HydroGeoscience for Watershed Management (HG-WM), at the Department of Earth, Ocean, and Atmospheric Sciences, is an interdisciplinary research group lead by Dr. Ali Ameli. The group uses mechanistic and statistical modelling approaches to generate scientific evidence required to inform watershed management and to regulate the environmental impacts of climate change. The research group is a part of UBC’s Geological Engineering program – a program with over 100 years of rich history.
For more information, please visit: www.hydrogeosciencewatershedmanagement.com/
Applications should include: i) a cover letter with detailed explanations on how the applicant meets the requirements for the position, ii) a curriculum vitae, iii) academic transcripts, and iv) the names and contact information of three professional references. Application materials should be combined into a single PDF document and be sent to Hg.wm.contact@gmail.com, by Monday, February 1, 2021.
Job Ad Download:
| Identifying Causes of Hydrological Disturbances Under a Changing Climate: A Statistical Machine Learning Approach |
PhD and Master's Student Opportunities:
Process-Based Evaluation of Streamflow Vulnerability to Climate Change Across North America
Two MSc and PhD Positions:
Process-based Evaluation of Streamflow Vulnerability to Climate Change Across North America
Process-based Evaluation of Streamflow Vulnerability to Climate Change Across North America
We invite applications for two fully-funded MSc and PhD positions on “Process-Based Evaluation of Streamflow Vulnerability to Climate Change Across North America” in the Earth, Ocean, and Atmospheric Sciences Department at the University of British Columbia (Vancouver).
Project Aim:
The successful candidate(s) will work under the supervision of Dr. Ali Ameli to determine the impacts of climate change on shallow and deep subsurface hydrologic processes, and their linkages to flood-rich, drought-rich, and drought-driven wildfire periods. In doing so, the successful candidate(s) will work with a recently-developed database. In addition to scientific achievements, this project will provide management authorities in Canada and the United States with science-based decision-making tools to support climate-informed watershed management and land-use development.
The Ideal Candidates Will Have:
Students from disciplines including, Civil, Geological or Environmental Engineering, Geology, Earth Sciences, Environmental Sciences, Physical Geography, Forestry and similar disciplines are encouraged to apply.
Research Group:
HydroGeoscience for Watershed Management (HG-WM) is an interdisciplinary research group that uses mechanistic and statistical modelling approaches to generate scientific evidence required to inform watershed management and to regulate the environmental impacts of climate change. The research group is lead by Dr. Ali Ameli and is a part of UBC’s Geological Engineering program - a program with over 100 years of rich history.
For more information, please visit: www.hydrogeosciencewatershedmanagement.com/
Applications should include: i) a cover letter with detailed explanations on how the applicant meets the requirements for the position, ii) a curriculum vitae, iii) unofficial academic transcript(s), and iv) the names and contact information of two professional references. Application materials should be combined into a single PDF document and be sent to Hg.wm.contact@gmail.com, by July 1, 2021.
Project Aim:
The successful candidate(s) will work under the supervision of Dr. Ali Ameli to determine the impacts of climate change on shallow and deep subsurface hydrologic processes, and their linkages to flood-rich, drought-rich, and drought-driven wildfire periods. In doing so, the successful candidate(s) will work with a recently-developed database. In addition to scientific achievements, this project will provide management authorities in Canada and the United States with science-based decision-making tools to support climate-informed watershed management and land-use development.
The Ideal Candidates Will Have:
- Knowledge of catchment hydrology
- Competence in GIS tools and programming in a GIS environment
- Experience with model scripting/programming
- Excellent communication skills in English
- Strong quantitative skills
- Basic knowledge of data science and statistical modelling (an asset, but not necessary)
- Basic knowledge of process-based modelling (an asset, but not necessary)
Students from disciplines including, Civil, Geological or Environmental Engineering, Geology, Earth Sciences, Environmental Sciences, Physical Geography, Forestry and similar disciplines are encouraged to apply.
Research Group:
HydroGeoscience for Watershed Management (HG-WM) is an interdisciplinary research group that uses mechanistic and statistical modelling approaches to generate scientific evidence required to inform watershed management and to regulate the environmental impacts of climate change. The research group is lead by Dr. Ali Ameli and is a part of UBC’s Geological Engineering program - a program with over 100 years of rich history.
For more information, please visit: www.hydrogeosciencewatershedmanagement.com/
Applications should include: i) a cover letter with detailed explanations on how the applicant meets the requirements for the position, ii) a curriculum vitae, iii) unofficial academic transcript(s), and iv) the names and contact information of two professional references. Application materials should be combined into a single PDF document and be sent to Hg.wm.contact@gmail.com, by July 1, 2021.
Job Ad Download:
| Process-Based Evaluation of Streamflow Vulnerability to Climate Change Across North America |
