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A place beyond physical boundaries

We warmly welcome students, fellows, and scholars from diverse backgrounds to join our team. We are committed to helping our members build a bright and successful future.

Open Positions (Updated on Nov 13, 2025)

I currently have positions for research fellows and graduate students:

Postdoc Fellow (U. Manitoba)
- One postdoc fellow position in 6G NTN is available (1-year term; renewable).
- Start Date: February 1st, 2026
- Candiadtes should have strong publication record with solid understanding of 3GPP 5G specifications (such as 3GPP Rel-16 through Rel-19). Experience with reinforcement learning and hands-on 5G equipment operation will be considered assets.
- Application Link: https://forms.gle/pRCsRtUxzDZJNhuF6
Fall 2026 Graduate Students (U. Manitoba)
- Various PhD & MSc positions
- Areas: (1) 6G NTN, (2) Embedded AI (hardware and/or software), or (3) Environmental Monitoring or Remote Sensing
- Application Deadline: January 8, 2026 (International), May 1 2026 (Domestic/US). See here for more info.
- Application Link: https://forms.gle/pRCsRtUxzDZJNhuF6
Visiting Scholars: We welcome visiting scholrs in relevant research areas to join our lab.
Research Assistants/Volunteers: Upper-year undergraduate students with a passion for addressing emerging challenges, prior research experience, and a solid academic record in electrical/computer/mechanical engineering, statistics/applied mathematics, computer science, physics, etc.

Interested applicants are encouraged to apply through the application links shown above), where you are expected to upload a PDF file, with (1) a CV (including educational background, research/industry experience, and publications if applicable), (2) a cover letter (stating your research interests and experience), and (3) copies of transcripts. The expected background of a prospective graduate student can be seen below.

Please understand that only candidates who can be a good fit will be contacted.

General Reqruiements of Prospective Graduate Students

Students are generally expected to have self-motivated problem-solving skills and a commitment to a high standard of ethics (please see IEEE Code of Ethics and ACM Code of Ethics). In addition to the University graduate program's requirements, students are not required to have domain knowledge of specific research projects but are expected to have a relevant background in engineering/science fields with good experience in the areas of (1) data communication/networks, (2) embedded/accelerator systems, (3) ML, image processing, or data analytics plus solid programming skills (in Rust/C/C++ and Python), or (4) optimization (in math/science/engineering/science contexts). Experience in multiple areas with practical experience is considered an asset. Solid research experience is expected for graduate applicants.

We strive to offer successful training with a solid commitment to equity, diversity, and inclusion (EDI) to students and access to advanced platforms for studies and academic/industry jobs. Students will have opportunities to be supported to publish, attend well-ranked academic events, and interact with leading research/industry communities.

EDI Resources

With a commitment to a high standard of EDI for mentorship, Prof. Hu's team, including students and research fellows, are encouraged to get EDI training from the University's Equity Office and NSERC. EDI resources will be introduced to students at the pre-research discussion.

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