Postdoctoral - Machine learning and computer vision approaches for bioinformatics data modelling and analysis

Position: Postdoctoral - Machine learning and computer vision approaches for bioinformatics data modelling and analysis

OAC Academic Unit: Department of Animal Biosciences

Start date: January 1, 2023 or earlier

Advisor Name: Dr. Dan Tulpan (

Duration: 2 years

Stipend: $45,000/year + benefits + travel to 1 conference

Project Description

The project is focused on using biodiversity data to develop automatic and intelligent bioinformatics and machine/deep learning pipelines for taxonomic analyses, predictions and estimations using microscopy-based and other types of digital imagery. This research will create real-time biomonitoring and decision-making tools to measure and protect ecosystem services that are impacted by agricultural production.

The postdoctoral fellow will have the opportunity to work closely with faculty and assist with student co-supervision, training, co-authoring publications, and software packages. In addition, the postdoctoral scholar will work with a team of undergrad/grad students, postdocs and professors to accomplish the above tasks. The project also financially supports travel costs and attendance to workshops and conferences. Mentoring and support for your research, outreach and career goals will be provided.


Required skills: The postdoctoral scholar candidate should have a strong background in bioinformatics and computational biology with additional knowledge of computational and modelling techniques. They must have a PhD degree in computer science, bioinformatics or a related field. They must have proven experience performing a literature review, publishing scientific articles, intermediate modelling/programming knowledge and statistical analysis (e.g. R). The candidate should be self-motivated to learn, an independent worker, able to problem solve and have a critical thinking mindset. They should be able to work well within a group and have strong written and oral communication skills. The University of Guelph believes in improving equity, diversity and inclusion in its study programs and workplaces; thus, all applicants are welcome who meet the above required skills.

Preferred skills: A successful candidate would have exposure to using a Linux environment, have intermediate programming skills in Python (pandas, sklearn, keras, OpenCV) and R, the desire to explore and develop new methods, strong evidence of academic writing skills (at least 1 publication as first author), teamwork experience and the evidence of project management skills.

Application Instructions

Qualified candidates should send their CV, cover letter (2-pager), a 2-page research proposal and the name and contact information (e-mail preferred) of 2 referees to Dr. Dan Tulpan ( with the subject “First name, Last name - Postdoctoral scholar application - 499190” before November 1st, 2022. Only candidates selected for interview will be contacted.

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