Fully Funded PhD in University of Manitoba, Canada: Are you passionate about software engineering, machine learning, and research in computer science?
The University of Manitoba, Canada, is currently offering two prestigious fully funded PhD positions in the area of Software Quality and Maintenance, beginning in Fall 2026 (September 2026 intake).
This exciting opportunity is led by Dr. Shaiful Alam Chowdhury, an Assistant Professor whose research focuses on improving software reliability and exploring machine learning applications in software engineering.
Successful candidates will join his research group and receive comprehensive support while working on cutting-edge projects in software quality assurance, software maintenance, and machine learning applications.
Why Choose a PhD at the University of Manitoba?
Canada is one of the top destinations for international students seeking world-class education, and the University of Manitoba stands out for its excellence in research and innovation.
Here are some reasons why this fully funded PhD opportunity is worth considering:
- Full Funding: Selected candidates will receive full financial support, covering tuition fees and living expenses.
- Research Excellence: The program is focused on Software Quality, Maintenance, and Machine Learning applications, areas that are highly relevant in today’s technology-driven world.
- Global Recognition: A PhD from a Canadian university opens doors to academic careers, industry leadership roles, and global research collaborations.
- Supportive Environment: You’ll work closely with experienced faculty and fellow researchers, gaining hands-on experience in advanced software engineering projects.
Eligibility Criteria for PhD at the University of Manitoba
To qualify for this fully funded PhD position, applicants must meet the following requirements:
- MSc in Computer Science (completed or near completion at the time of application).
- Strong coding skills and a genuine passion for problem-solving.
- A background in software engineering will be considered an asset.
- Demonstrated interest in Machine Learning and its applications.
This opportunity is ideal for candidates who want to combine advanced coding expertise with research in AI-driven software engineering.
Application Process for PhD at the University of Manitoba
Interested candidates must review the research group’s work before applying. To apply, send an email with the following materials:
- Email Subject: PhD Application – Fall 2026
- Curriculum Vitae (CV)
- Academic transcripts
- A brief statement explaining your research interests and why you want to join the lab
Important Note: Only shortlisted candidates will be contacted by November 2025. The selection process will include multiple interviews and a live coding session to evaluate applicants’ technical and problem-solving abilities.
Career Prospects After Completing This PhD
Graduates of this program can pursue various career paths, including:
- Academic careers – Becoming university lecturers or professors.
- Research positions – Joining top tech companies or government research labs.
- Industry roles – Working as software architects, machine learning engineers, or senior developers.
- Consulting opportunities – Advising organizations on software quality and AI applications.
Given the growing demand for AI-driven software solutions, this PhD provides a powerful springboard for long-term career success.
How to Prepare a Strong Application
Since the selection process is competitive, here are tips to strengthen your application:
1. Tailor your CV to highlight coding skills, research projects, and relevant publications.
2. Write a compelling statement of interest explaining how your research goals align with the lab’s focus.
3. Show evidence of problem-solving ability through past research, projects, or industry experience.
4. Practice coding challenges in preparation for the live coding session.
5. Demonstrate familiarity with Machine Learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
Deadline and Contact Information
Application Deadline: Shortlisting will be completed by November 2025.
How to Apply: Email your documents with the subject line “PhD Application – Fall 2026” directly to Dr. Shaiful Alam Chowdhury.
Dor more details, visit the professor’s personal website