Postdoctoral Fellowship in Computer Vision, Image

6 months ago

Edmonton, Canada iClassifier Inc. Full time

**Role Description**

**Qualifications**
- PhD degree in Computer Science, Electrical & Computer Engineering, Machine Learning, data science or related disciplines
- Strong coding and programming skills in Python plus maintaining high coding standards (Please share your GitHub/GitLab if available)
- Experienced with Machine Learning / Computer Vision libraries (OpenCV, NumPy, SciKit, SciPy)
- Extensive practical experience with modern deep learning frameworks (PyTorch or TensorFlow)
- Mastery of classical machine learning algorithms for classification, regression, and data preprocessing.
- Experience with classic image/video processing and computer vision
- Knowledge and experience with signal processing
- Experience in launching and running Python scripts on Linux and Cloud servers
- Ideally, you will have a basic understanding of Linux, Git, CUDA, and GPU
- Team working mindset is essential

**Assets to have**
- Prior experience in:

- working with 3D camera and 3D data analysis
- livestock assessment
- industrial working with machine learning, especially, deep learning and neural networks
- gait analysis
- Familiarity with agile software development management
- Having related published papers
- Previous co-op or work experience in industry or livestock breeding farm
- Understanding and developing APIs in a microservice architecture (FastAPI, Docker, PyTest)

**Responsibilities**:

- Work with other Computer Vision and Machine Learning engineers on high-impact projects and innovate new solutions to problems in the fields of smart agriculture
- Develop new data acquisition, data processing, and machine learning pipelines
- Research and development of computer vision and ML algorithms
- Design custom Neural Network-based and classical machine learning-based (KNN, SVM, DT, Random Forest) classification models
- Data collection and photography on the farm to acquire data for the project (should be comfortable with cows and livestock)
- Communicate effectively and professionally
- Writing progress reports, creating technical documentation and creating comprehensive product documentation
- After-hours work may be required

**Eligibility**:
**Other notes**:
∙ This position is full-time and requires a minimum commitment of 40 hours per week.

∙ Travel may be required

∙ The maximum term of employment is 1 year with the possibility of a 1-year extension.

**Payment**:
**$60k annually ($45-50k stipend + $10-15k research expenses)**

**How to Apply**
- A cover letter
- A detailed academic CV including the names of a minimum of three references (including PhD supervisor)
- Links to Github or Gitlab, LinkedIn, etc.
- Any other supporting document related to the job

Pay: $50,000.00 per year

**Benefits**:

- On-site gym

Flexible Language Requirement:

- French not required

Schedule:

- Monday to Friday
- Overtime

Application question(s):

- Are you comfortable dealing with animals (cows)?
- Are you within 4 years of your Ph.D. date of graduation? (Yes/No)

**Education**:

- Doctoral Degree (required)

**Experience**:

- Deep learning: 3 years (preferred)
- Computer vision/Image processing: 3 years (preferred)
- Python: 5 years (preferred)
- Linux: 1 year (preferred)

**Language**:

- English (required)

Licence/Certification:

- Canadian Work Permit (preferred)

Work Location: In person

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