Postdoctoral Research Position at Queen’s University: The diCenzo Lab at Queen’s University in Kingston, Ontario, Canada, is seeking a highly motivated and skilled Postdoctoral Fellow to join their team for a large, well-funded project focused on developing microbial inoculants to support the nutrition of key Canadian crops. The position offers the opportunity to work with a diverse team, collaborate with industry and government partners, undertake internships to enhance skills and professional networks, perform whole genome sequencing and annotation, analyze metagenomic datasets, contribute to transcriptomic and resequencing projects, and develop machine learning models using genomics information. The selected candidate will also have the opportunity to pursue independent research, attend conferences, participate in professional development workshops, and engage with collaborators and the local community.
Summary Table:
- Title: Postdoctoral Research Position in the Genomics of Agricultural Microbes (Dry-lab)
- Research Area: Genomics of Agricultural Microbes
- Designation: Postdoctoral Fellow
- Location: Queen’s University, Kingston, Ontario, Canada
- Funding: Well-funded project
- Eligibility/Qualification: PhD in Microbiology, Bioinformatics, or relevant field
- Contract Type: Full-Time
- Duration: Not specified
- Supervisor: Dr. George diCenzo
Job Description:
Postdoctoral Research Position in the Genomics of Agricultural Microbes (Dry-lab)
- Conduct independent research within the project’s scope and ensure the timely completion of milestones
- Collaborate and share data with collaborators at Queen’s University and other institutions
- Contribute to quarterly reporting, data dissemination through publications and presentations, and maintenance of data repositories
- Train and mentor junior group members
- Generate new ideas related to the project or other research projects
- Perform whole genome sequencing and annotation for a collection of bacterial isolates from agricultural soils and legume nodules
- Analyze agricultural soil metagenomic datasets
- Contribute to transcriptomic and resequencing projects
- Develop machine learning models using genomics information
- Pursue independent research lines to support future career development
- Attend conferences, professional development workshops, and engage with collaborators and the local community
Preferred Qualifications:
- PhD in Microbiology, Bioinformatics, or other field relevant to computational genomics
- Experience in bioinformatics software, the Linux command line, and one or more programming languages (e.g., Bash, Python, Perl)
- Experience in bacterial genome assembly, comparative genomics, metagenomics, microbial community analysis, or machine learning as applied to genomics
- Publications in peer-reviewed journals
- Experience working with others and mentoring junior group members
- Strong organizational, time management, adherence to timelines, and communication skills
How to Apply: The ideal start date for the position is October 2023, but it can be negotiated based on the selected candidate’s needs. To apply, please submit the following to george.dicenzo@queensu.ca:
- A cover letter describing your interest in the project, your fit for the position, and how it aligns with your career goals
- A CV including a list of publications
- Contact information for two academic/professional references
Applications will be considered as they are received and will continue until a candidate is selected. However, applicants are encouraged to submit their applications prior to June 26, 2023, to ensure full consideration.
We are committed to equity, diversity, and inclusion in our team and the hiring process. The university provides support in its recruitment processes for applicants with disabilities, including accommodations that consider applicants’ accessibility needs. Candidates requiring accommodation during the recruitment process are asked to contact Human Resources at hradmin@queensu.ca.
