International students interested in pursuing postgraduate studies in Canada have an exciting research opportunity at Queen’s University. The university is offering funded Master’s and PhD research opportunities in Artificial Intelligence (AI), Machine Learning, and Computational Materials Science for students interested in advanced research and innovation.
These opportunities are associated with the Stephen J. R. Smith Faculty of Engineering and Applied Science at Queen’s University. The available research areas include multimodal artificial intelligence, deep learning, AI-enabled atomistic materials modelling, and energy-related technologies.
Students can explore research opportunities under Associate Professor Ali Etemad and Assistant Professor Meng Li. Both research groups are working in specialised areas that combine artificial intelligence, computational engineering, and scientific research.
One of the major benefits for international applicants is the university’s graduate funding policy. For the 2026–27 academic year, eligible full-time PhD students are guaranteed a minimum annual funding package of CAD 25,000, generally for the first four years of doctoral study, subject to university requirements.
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کینیڈا کی معروف کوئینز یونیورسٹی (Queen’s University) نے 2026 میں بین الاقوامی طلبہ کے لیے آرٹیفیشل انٹیلیجنس (AI)، مشین لرننگ اور کمپیوٹیشنل میٹریلز سائنس کے شعبوں میں فنڈڈ ماسٹرز اور پی ایچ ڈی ریسرچ کے مواقع فراہم کیے ہیں۔ ان مواقع کے تحت اہل پی ایچ ڈی طلبہ کو سالانہ کم از کم 25,000 کینیڈین ڈالر کی مالی معاونت دی جائے گی۔ پاکستانی طلبہ سمیت دیگر ممالک کے امیدوار بھی اپنی تعلیمی قابلیت اور متعلقہ شعبے کی شرائط کے مطابق اپلائی کر سکتے ہیں۔ دلچسپی رکھنے والے طلبہ کے لیے ضروری ہے کہ وہ اہلیت، مطلوبہ دستاویزات، انگلش لینگویج ریکوائرمنٹس اور اپلائی کرنے کے طریقہ کار کی تفصیلات ضرور دیکھیں۔
Queen’s University Canada Research Opportunities 2026 – Overview
Here are the important details of the available research opportunities:
| Details | Information |
|---|---|
| University | Queen’s University |
| Country | Canada |
| Faculty | Stephen J. R. Smith Faculty of Engineering and Applied Science |
| Study Levels | Master’s and PhD |
| Research Areas | AI, Machine Learning and Computational Materials Science |
| PhD Funding | Minimum CAD 25,000 annually for eligible students |
| Academic Year | 2026–27 |
| Eligible Applicants | International and domestic students, subject to program requirements |
| Supervisors | Ali Etemad and Meng Li |
| Application Method | Research supervisor and graduate admission process |
Available Master’s and PhD Research Positions
Queen’s University has research opportunities in two major areas. Students can select a research direction according to their academic background, technical skills, and future career goals.
The available positions include:
| Research Opportunity | Degree Level | Research Supervisor |
|---|---|---|
| Artificial Intelligence and Machine Learning | PhD | Associate Professor Ali Etemad |
| AI-Enabled Atomistic Materials Modelling | PhD | Assistant Professor Meng Li |
| AI-Enabled Atomistic Materials Modelling | Master’s (MASc) | Assistant Professor Meng Li |
1. Artificial Intelligence and Machine Learning PhD
The Artificial Intelligence and Machine Learning research opportunity is available under the supervision of Associate Professor Ali Etemad.
This research area focuses on modern AI technologies, including multimodal artificial intelligence, deep learning, and machine learning methods.
Students interested in computer science, intelligent systems, and developing advanced AI applications may find this opportunity suitable.
Applicants should have a strong academic background in a relevant technical discipline and practical programming experience.
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2. AI-Enabled Atomistic Materials Modelling PhD
Assistant Professor Meng Li is offering a PhD research opportunity in AI-enabled atomistic materials modelling.
This research combines artificial intelligence with computational materials science to study and understand materials at the atomic level.
The research area is particularly relevant to students interested in advanced engineering, physics, chemistry, computational modelling, and materials research.
3. AI-Enabled Atomistic Materials Modelling Master’s
A research-based Master of Applied Science (MASc) opportunity is also available under Assistant Professor Meng Li.
This opportunity is suitable for graduates who want to gain advanced research experience in computational materials science and AI-based modelling.
Students will have the opportunity to develop research skills and work on scientific problems involving computational methods and emerging technologies.
Scholarship Benefits and Financial Support
Queen’s University provides financial assistance to eligible full-time research graduate students through different funding sources.
These funding packages may include university scholarships, research fellowships, teaching assistantships, and research assistantships.
For the 2026–27 academic year, eligible full-time PhD students receive a minimum guaranteed funding package of CAD 25,000 per year.
The university generally provides this doctoral funding during the first four years of study, subject to applicable eligibility conditions and satisfactory academic progress.
The main financial benefits include:
- Minimum guaranteed annual PhD funding of CAD 25,000 for eligible students.
- Potential financial assistance through scholarships and research fellowships.
- Opportunities for teaching and research assistantships.
- Access to advanced research facilities and academic resources.
- Supervision from experienced university researchers.
- Opportunities to participate in multidisciplinary research projects.
- Possibility of contributing to academic research and scientific publications.
Important: The CAD 25,000 annual funding guarantee applies to eligible PhD students. Master’s students may receive financial support, but the same guaranteed amount should not be assumed for the MASc opportunity. Applicants should confirm their individual funding package before accepting admission.
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Eligibility Criteria for Queen’s University Research Opportunities
Students applying for these research positions must meet the academic and research requirements of their selected graduate program.
The required qualifications may vary depending on the research area and the supervisor.
Eligibility for AI and Machine Learning PhD
Candidates interested in the AI and Machine Learning research opportunity should generally have:
- A degree in Computer Science, Computer Engineering, Electrical Engineering, Mathematics, or a related discipline.
- A strong understanding of machine learning and deep learning.
- Programming experience, particularly in Python.
- Familiarity with machine learning frameworks such as TensorFlow or PyTorch.
- Good analytical and problem-solving abilities.
- Previous research experience is an advantage.
- Academic publications and relevant project experience may strengthen an application.
- The ability to work independently and collaboratively.
Eligibility for AI-Enabled Atomistic Materials Modelling
Applicants interested in the materials modelling research opportunities should have an academic background in a relevant field.
Suitable academic disciplines may include:
- Materials Science and Engineering.
- Mechanical or Chemical Engineering.
- Physics.
- Chemistry.
- Computational Science.
- Other related engineering and scientific disciplines.
Experience in computational modelling, machine learning, molecular dynamics, and atomistic simulations may strengthen an application.
Students should contact the relevant supervisor to confirm the specific academic qualifications and technical skills required for their chosen research project.
English Language Requirements
International applicants whose previous education does not meet Queen’s University’s English-language exemption requirements may need to submit an approved English proficiency test.
The provided minimum English-language scores are listed below:
| English Language Test | Minimum Required Score |
|---|---|
| IELTS Academic | Overall 7.0 |
| PTE Academic | Overall 65 |
| CAEL | Overall 70 |
| Duolingo English Test | Overall 130 |
| Cambridge English Assessment | 185 |
Applicants should verify that their test is accepted for their particular graduate program and that the scores meet the university’s current admission requirements.
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Documents Required for Application
Students interested in these funded research opportunities should prepare their academic and supporting documents before starting the admission process.
The commonly required documents include:
- Updated academic CV or resume.
- Bachelor’s degree certificate.
- Academic transcripts.
- Two academic recommendation letters.
- Statement of research interests or statement of purpose, where required.
- English proficiency test results, if applicable.
- Relevant research publications or project details, if available.
- Additional documents requested by the selected graduate department.
Applicants should ensure that their academic records and other documents are complete and accurate.
The final document requirements may differ between the MASc and PhD programs, so candidates should check the relevant graduate admission instructions.
How to Apply for Queen’s University Canada Scholarships 2026
Interested students can follow the steps below to explore and apply for these research opportunities.
Step 1: Select a Research Opportunity
First, identify the research position that matches your academic background and future research interests.
Students can choose between AI and Machine Learning or AI-enabled atomistic materials modelling.
Step 2: Contact the Research Supervisor
Applicants should review the research interests of their preferred supervisor and contact the relevant research group.
Students interested in Artificial Intelligence and Machine Learning can contact Associate Professor Ali Etemad.
Candidates interested in AI-enabled atomistic materials modelling can contact Assistant Professor Meng Li.
In the email, briefly introduce yourself, explain your research interests, and attach your updated academic CV.
Step 3: Discuss Eligibility and Funding
Before submitting an application, ask the supervisor about the availability of the research position, academic requirements, funding arrangements, and expected research start date.
This step can help applicants understand whether their qualifications match the available opportunity.
Step 4: Submit the Graduate Admission Application
After identifying a suitable research opportunity and confirming the application requirements, candidates should complete the formal graduate admission process through Queen’s University.
Applicants must provide the required academic records, recommendation letters, and other supporting documents.
Step 5: Follow the Application Process
After submitting the application, candidates should regularly check their email and university application account for updates, additional requirements, and admission decisions.
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Important Tips for Pakistani Students
Pakistani students interested in these Canadian research opportunities should prepare their applications carefully.
A strong academic background is important, but relevant research experience and technical skills can also help candidates present a competitive application.
Here are some useful suggestions:
- Prepare an updated academic CV highlighting research projects and technical skills.
- Mention relevant programming languages and research tools.
- Write a clear and focused research interest statement.
- Contact the relevant professor with a professional email.
- Arrange recommendation letters from academic teachers or research supervisors.
- Prepare official academic transcripts and degree documents.
- Confirm the funding package and admission requirements before applying.
Students should also make sure that their English proficiency results meet the requirements of their selected graduate program.
Frequently Asked Questions (FAQs)
1. Is Queen’s University offering funded Master’s and PhD opportunities in 2026?
Yes. Queen’s University has research opportunities in Artificial Intelligence, Machine Learning, and AI-enabled atomistic materials modelling at the Master’s and PhD levels.
2. How much funding does Queen’s University provide to PhD students?
For the 2026–27 academic year, eligible full-time PhD students receive a minimum guaranteed annual funding package of CAD 25,000, generally for the first four years of doctoral study.
3. Can international students apply for these research opportunities?
International students can explore these graduate research opportunities, subject to the academic, admission, and supervisor requirements of their selected programs.
4. Which professors are offering these research opportunities?
Associate Professor Ali Etemad is associated with the AI and Machine Learning PhD opportunity, while Assistant Professor Meng Li is offering research opportunities in AI-enabled atomistic materials modelling at the Master’s and PhD levels.
5. Is IELTS required for admission to Queen’s University?
International students may need to provide an approved English-language proficiency test unless they qualify for an exemption. The applicable requirements should be confirmed with the university.
6. Can Pakistani students apply for the Queen’s University research opportunities?
Yes. Pakistani students who meet the relevant academic, English-language, and graduate admission requirements can apply.
Final Words
Queen’s University Canada is offering valuable research opportunities for students interested in Artificial Intelligence, Machine Learning, and Computational Materials Science. With funded Master’s and PhD positions, advanced research facilities, and opportunities to work under experienced academic supervisors, these opportunities can be a strong option for international graduates planning to study in Canada.
Eligible PhD students can benefit from a minimum annual funding package of CAD 25,000 during the 2026–27 academic year. Interested candidates should review the research areas, contact the relevant professors, and prepare their application documents carefully.
Students are advised to confirm the latest admission requirements, research position availability, and funding conditions directly with Queen’s University before applying.






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