Machine Learning Intern

6 days ago

Edmonton, Canada Alberta Machine Intelligence Institute Full time

**Description**

*
About the Role*

This is a paid internship that will be undertaken over a eight-month period with the potential to be hired by our client afterwards (note: at the discretion of the client). The intern will be reporting to an Amii Scientist and regularly consult with the Client team to share insights and engage in knowledge transfer activities.

At the end of the engagement, it is expected that the work will be publishable to a respected conference or journal.
**About our Client**

ISL Adapt, a sister company to Western Canada's long-standing ISL Engineering and Land Services Ltd., was created to identify and design AI opportunities that can improve community infrastructure. A joint effort between the Alberta Machine Intelligence Institute, the University of Alberta and ISL Engineering is exploring how machine learning (ML) can make water treatment more environmentally friendly and cost-effective.
When Drayton Valley - a small town about 130 kilometers southeast of Edmonton - decided to replace their aging water treatment plant, they hired ISL Engineering to build a facility that could handle future population growth in a sustainable fashion. This award-winning water treatment plant design was commissioned in 2015 and has a mandate to promote innovative research and development in Alberta.

**About the Project**

Water treatment plants are very power-intensive, so reducing energy use was one of the main goals for ISL Adapt’s Initiative. Much of that energy use comes from pumping water, especially for a plant like Drayton Valley, which uses a process called ultrafiltration. The process uses chemicals on untreated water, causing solids and contaminants to bind together and sink to the bottom of the tank. Then, the plant pumps the water through special membranes, which filter out smaller contaminants and let clean water through.

As time goes on, those membranes get dirty and have to be cleaned by backwashing treated water through them. A more efficient system means more effective cleaning, which means less pumping and less energy used. It's a complex process, further complicated by the fact that water conditions are always changing. Rainfall, seasonal melt and other biological factors can greatly affect the quality of raw or untreated water and change the way plant operators have to deal with it.
"You can see the North Saskatchewan River changing in front of you each year," said ISL's Douglas Hallett. "You can see it turn from glacial blue to brown, or green as algae grows in the summer months. How do you tune a plant to respond to different changes in the environment?"
To find ways to tackle the problem, ISL set up a pilot facility - a mini-plant-within-a-plant, fitted with sensors and tools to help the Amii team gather data on what factors could help reduce energy use and adapt to changing water conditions.
Working with the University of Alberta’s Reinforcement Learning and Artificial Intelligence Lab (RLAI), the Alberta Machine Intelligence Institute (Amii), and the Town of Drayton Valley; the project will focus on process control, automation and data analytics.

**Required Skills / Expertise**

We’re looking for a talented and enthusiastic individual with solid knowledge of machine learning and experience working with temporal datasets.

*
Key Responsibilities: *
- Perform exploratory data analysis
- Process, wrangle, curate, and model large datasets
- Produce high-quality code with excellent reliability and scalability
- Build, train, and evaluate ML models
- Develop Data and ML workflows
- Undertake applied research on ML techniques to address the limitations in existing models
- Collaborate with project team and stakeholders to develop MVP
- Participate in regular meetings with the client, preparing presentations and reports

**Required Qualifications**:

- Completion of a Computing Science, Optimization, Mathematics, or ML graduate program, MSc. or PhD
- Proficient in Python programming language and related ML frameworks, libraries and toolkits (e.g. Scikit learn, Keras, Tensorflow, PyTorch, Pandas, Jupyter notebooks)
- A positive attitude towards learning and understanding a new applied domain
- Must be legally eligible to work in Canada

**Preferred Qualifications**:

- Previous experience with process automation, optimization, reinforcement learning, and simulations
- Prior software engineering experience in industry (e.g., data pre-processing, PLC programming, creating/managing dashboards, databases)
- Familiarity with the water treatment systems or industrial process controls
- Publication record in peer-reviewed academic conferences or relevant journals in machine learning

**Non-Technical 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
- Intellectual curiosity and the desire to learn new things

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