Machine Learning Resident - Client Northwest Hydraulic Consultants
Machine Learning Resident - Client Northwest Hydraulic Consultants
Employer Active
Job Alert
You will be updated with latest job alerts via email
Share
Job Alert
You will be updated with latest job alerts via email
Job Description
Join us for a unique ML Resident role tackling timeseries problems in the hydrotechnical engineering and geoscience consulting services with ML/DL. Youll collaborate with a dynamic and fastpaced team of machine learning scientists and domain experts developing innovative models and products with civil and environmental engineering
Soumik Farhan Machine Learning Scientist and Dave Staszak Lead Machine Learning Scientist
About the Role
This is a paid residency that will be undertaken over a twelvemonth period with the potential to be hired by our client afterwards. The resident will be reporting to an Amii Machine Learning Scientist and regularly consult with the Client team to share insights and engage in knowledge transfer activities.
About our Client
Join Northwest Hydraulic Consultants (NHC)an independent employeeowned hydrotechnical engineering and geoscience firm founded in 1972 that now unites 250 experts across 16 offices in Canada the United States Brazil and Bangladesh. We blend rigorous fieldwork with cuttingedge CFD and the largest physical hydraulicmodelling facility in western North America to tackle complex river flood coastal and watershed challenges. At NHC youll work alongside passionate engineers geoscientists hydrologists and GIS specialists who share a mission of meeting waterresource needs for people and the environment all within a collaborative ownership culture that rewards innovation professional growth and community impact.
About the Project
To advance the use of machine learning in hydroclimatology by developing sophisticated techniques for data enhancement (particularly infilling) and building predictive models that utilize comprehensive temperature precipitation and hydrometric data (including extremes) for practical environmental data could be used in these applications:
- Baseline climate understanding
- Operational forecasting
- Climatechange downscaling & impact studies
- Infrastructure design & safety.
Required Skills / Expertise
Were looking for a talented and enthusiastic individual with solid knowledge of machine learning and experience working with time series data.
Key Responsibilities:
- Clean preprocess and manage diverse hydroclimate datasets (point and gridded data)
- Conduct exploratory data analysis to identify patterns and anomalies.
- Conduct data analysis to understand relationships and dependencies between various hydroclimate parameters.
- Collaborate with hydrologists and engineers to integrate datadriven insights into hydrological models and client projects
- Research and apply relevant statistical machine learning or physical modeling techniques to address project challenges.
- Undertake applied research on ML techniques to address the limitations in existing models and develop new approaches
- Collaborate with project team and stakeholders to develop minimum viable products (MVPs) and clientcentric solutions
Required Qualifications:
- Completion of a Computing Science or ML graduate program MSc. or Ph.D in Data Science Computer Science Engineering Environmental Science Atmospheric Science Hydrology or a related quantitative field.
- Research or project experience working with time series data and classical time series models (ARIMA Facebook Prophet etc.
- Solid understanding and experience in applications of deep learning techniques such as sequence models (RNNs LSTMs GRUs Transformers etc. and probabilistic forecasting models.
- Proficient in Python programming language and related ML frameworks libraries and toolkits (e.g. Scikit learn Keras Tensorflow Pandas Jupyter notebooks)
- A positive attitude towards learning and understanding a new applied domain
- Must be legally eligible to work in Canada
Preferred Qualifications:
- Experience specifically with hydroclimate data (temperature precipitation streamflow).
- Knowledge of hydrological or climate models.
- Familiarity with geospatial data analysis.
- Publication record in peerreviewed academic conferences or relevant journals in machine learning
- Experience/familiarity with software engineering best practices
- Experience using cloud platforms (GCP AWS Azure etc.
NonTechnical Requirements:
- Desire to take ownership of a problem and demonstrated leadership skills
- Interdisciplinary team player enthusiastic about working together to achieve excellence
- Capable of critical and independent thought
- Able to communicate technical concepts clearly and advise on the application of machine intelligence
- Intellectual curiosity and the desire to learn new things techniques and technologies
Why You Should Apply
Besides gaining industry experience additional perks include:
- Work under the mentorship of an Amii Lead Scientist for the duration of the project
- Participate in professional development activities
- Gain access to the Amii community and events
- Build your professional network
- The opportunity for a permanent machine learning role at the clients organization at the end of the term (at the clients discretion)
About Amii
One of Canadas three main institutes for artificial intelligence (AI) and machine learning our worldrenowned researchers drive fundamental and applied research at the University of Alberta (and other academic institutions) training some of the worlds top scientific talent. Our crossfunctional teams work collaboratively with Albertabased businesses and organizations to build AI capacity and translate scientific advancement into industry adoption and economic impact.
How to Apply
If this sounds like the opportunity youve been waiting for please dont wait for the closing May 12 2025 to apply were excited to add a new member to the Amii team for this role and the posting may come down sooner than the closing date if we find the right candidate before the posting closes! When sending your application please send your resume and cover letter indicating why you think youd be a fit for Amii. In your cover letter please include one professional accomplishment you are most proud of and why.
Applicants must be legally eligible to work in Canada at the time of application.
Amii is an equal opportunity employer and values a diverse workforce. We encourage applications from all qualified individuals without regard to ethnicity religion gender identity sexual orientation age or disability. Accommodations for disabilityrelated needs throughout the recruitment and selection process are available upon request. Any information provided by you for accommodations will be kept confidential and wont be used in the selection process.
Required Experience:
Contract
Employment Type
Full-Time
