a funded PhD/MSc position in machine learning in the University of Manitoba

pingzhaoUID: 3757766

A PhD/ MSc candidate position is available in Dr. Pingzhao Hu's lab at the Department of Computer Science and Department of Electrical Computer Engineering in the University of Manitoba, Canada. We develop and apply statistical and computational algorithms for analyzing big genetic and genomic data. For more detailed information about the research in the Hu lab, please see http://www.hu-bioinformaticslab.org

The successful candidates will develop deep learning and advanced statistical algorithms to analyze medical images, single cell sequencing data, compound structures and chemogenomic data sets.

The successful candidate should have a thesis-based Master’s or BSc degree in computer science, computer engineering, mathematics or statistics. The successful candidate should have a GPA >3.5 of 4.5 (average >=85% in the last 60 credits).

Depending on the candidate’s background, he/she can register the PhD/MSc program in either the Department of Electrical and Computer Engineering or Department of Computer Science.

The candidate should have solid programming skills (R, Python and/or C, etc.), quantitative analysis background (machine learning, data mining, etc.) and acquaintance with Linux.

The candidate should also meet one of the following English test requirement: University of Michigan English Language Examination Assessment Battery MELAB (80%); Test of English as a Foreign Language TOEFL– Internet Based iBT (86); International English Language Testing System IELTS (6.5).

The position is fully supported by a Research Assistantship (approximately 19k-20k CAD/year) for 4 years for a PhD and approximate 17.5K for 2 years for a MSc. To be considered for Winter (January), Summer (May) or Fall (September), 2020 admission, he/she should send his/her CV and scanned transcript to Dr. Pingzhao Hu at pingzhao.hu@umanitoba.ca.

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Note: before you send emails or CV to me, please make sure you meet the MUST requirements:
1) English Test
2) GPA