📢 PhD Position Opening - Applied Mathematics (University of Waterloo)

I’m excited to announce an opening for a PhD student in my lab in the Department of Applied Mathematics at the University of Waterloo. This PhD position involves a research focus on quantum many-body physics, combinatorial optimization and language models.

I’m looking for a motivated student with a strong background in machine learning and physics, a passion for coding, and a curiosity-driven mindset.

🗓️ Deadline:

For this single position, there are two deadlines based on the preferable starting date:

September 15th, 2025 for a start date in Winter 2026 or Spring 2026.

October 15th, 2025 for a start date in Fall 2026.

Applications will be evaluated on a rolling basis, so early applications are highly encouraged.

To express your interest, you can submit an application using the following Google Form: Link to Google Form.

The application form involves the following documents:

• Statement of purpose (2 pages max) describing the candidate’s background, research interests, motivation, and goals.
• CV (including emails of three academic references).
• Undergraduate and Graduate academic transcripts.
• [If applicable] Written work such as published paper(s), paper draft, or thesis.
• [Optional] Personal statement (2 pages max) focusing on contributions to equity, diversity, and inclusion and challenges overcome by the candidate.

For questions about the application and required documents, candidates can reach out at mhibatallah [at] uwaterloo [dot] ca. There is no need to send a follow-up email after applying as a notification email will be sent automatically to the reviewers.

Important Notes:

• A Master’s degree (completed or in the process of completion) is required to be eligible for this position.
• Duration of PhD position: 4 years.
• We encourage applications from equity-deserving groups in STEM and welcome those with non-traditional academic paths.
• The selected candidate will subsequently apply through the official University of Waterloo system to complete the admission process.
• Due to the volume of applications, only shortlisted candidates will be contacted for interviews. If you do not hear from us after applying by the end of February 2026, please consider that we’ve moved forward with other candidates.

Ideal Candidate Profile (as an example):

• Solid background in machine learning and physics.
• Strong coding skills (Python experience is essential).
• Experience with one of the following Machine Learning libraries: JAX, PyTorch, or TensorFlow.
• Research experience and a curiosity-driven mindset.
• Strong communication and collaboration skills.