Post Date: 2024-01-16
Available position: We are hiring a postdoc/PhD student at the University of Calgary on image processing and AI.
Start Date: 2024-03-01
Deadline: The position will be available until a suitable candidate is selected
Location: University of Calgary, Calgary, Canada
Lab Website: www.ihadlab.com
The iHADLab at the University of Calgary made a new collaboration with an industry partner in the livestock industry to develop a device for automatic transferring of images of an ultrasound device to a cloud-based server.
The aim is to predict carcass traits, including backfat thickness, intramuscular fat volume, and ribeye area, from ultrasound images and monitoring. Variations of predicted carcass traits will be monitored and quantified from a series of ultrasound scans at different times.
One postdoctoral position-PhD position is available in the field of image processing and AI. Priority will be given to candidates with a background in computer engineering or those who present evidence of having experience in working with ultrasound images.
This research will have a broader impact in empowering producers in disease diagnosis and monitoring the health of their animals. The technical skills gained during this research experience will help you with careers in a wide range of industries (IoT, embedded systems, manufacturing, livestock, and entrepreneurship).
Qualifications: This is a postdoc position. However, we accept PhD applicants if the candidate presents evidence of extensive experience in image processing and AI. So, if you are applying for a PhD position but have no or little experience in working with ultrasound images, please do not consider applying for this position.
We are seeking for candidates with extensive experience in:
– Advanced Image Processing and Computer Vision Skills: Proficiency in image segmentation, pattern recognition, and feature extraction techniques specific to ultrasound images.
– Machine Learning and Deep Learning Expertise: Experience in developing, training, and validating predictive models using machine learning and deep learning frameworks, especially those relevant to image analysis (e.g., CNNs).
Statistical Analysis and Data Modeling: Ability to analyze and interpret complex datasets, proficiency in statistical software, and experience in predictive modeling and data mining.
–Software Development: Skills in software programming for both the firmware within the circuit (possibly in C or C++) and any associated software that might run on a server to receive and manage the ultrasound scans.
How to apply:
Please email the following documents to amin.komeili@ucalgary.ca with the subject line “Postdoc-Ultrasound-Image processing”. Sending a message through LinkedIn will not be considered for review.
- CV – Highlight main research expertise, papers, patents, and related projects
- A brief 1-2 pages “statement of eligibility” addressing the following:
- What experience do you have in working with ultrasound images?
- A short description of your approach and the major steps you will take to achieve project aims as described in the Job Summary.
A strong applicant will propose a potential deep-learning model for the segmentation of fat tissue and classification of ultrasound images in their application documents.
Priority will be given to female applicants.
