Postdoctoral Fellowship in Computer Vision, Image - Edmonton, Canada - iClassifier Inc.

Description

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 coop 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 highimpact 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 Networkbased and classical machine learningbased (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
• Afterhours 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:

• Onsite 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