University of Alberta
Electrical & Computer Engineering
We are setting up a new lab at the ECE Department, University of Alberta, focusing on exciting research topics in computer vision and machine learning, such as geometric methods for computer vison and machine learning problems, visual behavior analysis, and biomedical image analysis. We are looking for exceptional Postdocs to join us. Ideally, you are a PhD with demonstrated ability to conduct high quality research in computer vision and/or machine learning, and have a track record of publications in top venues. The start date is flexible. The position is for 1-2 year(s) with possibility for renewal.
Potential candidates are requested to email their CVs (in PDF) and contact information of at least two references to Li Cheng ([email protected]).
About the PI
Li Cheng is an associate professor with the ECE Dept., University of Alberta, Canada. His research expertise is mainly in computer vision and machine learning, with application focus in both visual behavior analysis and biomedical image analysis. His research work has resulted in over 80 referred papers including those published at journals such as IEEE Trans. Pattern Analysis and Machine Intelligence, International Journal of Computer Vision, as well as conferences such as ICML, NIPS, ICCV, CVPR, MICCAI, and AAAI. He is a senior member of IEEE. More information is available here.
We thank all applicants for their interest; however, only those individuals selected for an interview will be contacted.
COVID-19 Vaccination: Proof of full vaccination against COVID-19 in compliance with the University’s COVID-19 Vaccination Directive. Fully Vaccinated means a status an individual achieves 14 days after having received the recommended number of doses of a COVID-19 vaccine approved by Health Canada or the World Health Organization, and requires the individual to maintain the recommended number and type of vaccine doses as updated and required by Health Canada thereafter.
How to Apply
The University of Alberta is committed to an equitable, diverse, and inclusive workforce. We welcome applications from all qualified persons. We encourage women; First Nations, Métis and Inuit persons; members of visible minority groups; persons with disabilities; persons of any sexual orientation or gender identity and expression; and all those who may contribute to the further diversification of ideas and the University to apply.
To help us track our recruitment effort, please indicate in your cover/motivation letter where (jobsincanada.one) you saw this job posting.