Postdoctoral Researcher in Experimental Evolution

Competition 1489

This position offers a benefits package that can be found at Postdoctoral Fellows Benefits.

Location - Work primarily takes place at North Campus, Edmonton.

Working at the University of Alberta

The University of Alberta acknowledges that we are located on Treaty 6 territory, and respects the histories, languages and cultures of First Nations, Métis, Inuit and all FirstPeoples of Canada, whose presence continues to enrich our vibrant community.

The University of Alberta is a community of knowledge seekers, change makers and world shapers who lead with purpose each and every day. We are home to over 14,000 faculty and staff, more than 40,000 students and a growing community of 300,000 alumni worldwide.

Your work will have a meaningful influence on a fascinating cross-section of people — from our students and community members, to our renowned researchers and innovators, making discoveries and generating solutions that make the world healthier, safer, stronger and more just. Learn more.

Working for the Department

The Department of Physics at the University of Alberta has developed a strong research environment and a tradition of accolades. Members of the Physics department have received national and international recognition, a point of pride for our department, and also a testament to the support, facilities and opportunities available at the University of Alberta's Department of Physics.

Position 

A postdoctoral researcher position is available in the Charlebois Research Group to work on a Human Frontier Science Program project on predicting microbial evolution. This project will involve investigating the effect of community size on the repeatability of antifungal resistance evolution in pathogenic yeast communities.

This is a three-year position subject to annual renewal contingent upon performance and funding.

Duties 

• Conduct high-quality experimental microbiology/mycology research in collaboration with theoretical/computational researchers.
• Characterize antifungal resistance across communities, ploidy, and drug concentrations.
• Perform drug-resistance evolution experiments across species diversity.
• Conduct phenotypic and genotypic profiling of evolved Candida strains.
• Quantify the composition of evolving Candida communities using pre-trained machine learning models and qPCR-based methods.
• Prepare manuscripts for publication in high-impact journals.

Minimum Qualifications

• PhD in the biological sciences or a related field.
• Demonstrated record of research productivity.
• Experience with pathogenic yeasts, in-vitro drug susceptibility testing, and standard microbiology techniques.
• Strong written and oral communication skills in English.

Preferred Qualifications

• Experience working with Candida yeasts.
• Familiarity with machine learning.
• Experience supervising undergraduate and graduate students. 

Application Instructions

Please upload one single PDF containing the following for your application:

1) A two-page research statement.

2) A CV.

3) Three letters of reference.