IPNL — Intelligent Positioning and Navigation LaboratoryJoin Us
Who we are looking for
IPNL is always looking for motivated researchers at all levels:
- PhD students — strong quantitative background in GNSS, signal processing, robotics, or machine learning. Self-directed, comfortable with field experiments, and eager to publish in top venues.
- Postdoctoral fellows — track record of high-quality publications in positioning, navigation, or related areas. Interest in mentoring students and leading independent research threads.
- Visiting researchers — PhD students or early-career researchers from partner institutions interested in 3- to 12-month research visits.
- Research assistants — engineering graduates interested in hands-on dataset collection, system integration, and algorithm development.
Current interests (2025)
We are particularly interested in candidates who can contribute to:
- Urban GNSS benchmarking — new cities, new sensors, new challenges
- Integrity monitoring — safety-critical applications, certification pathways
- Factor graph optimization — alternative fusion architectures to EKF
- Embodied AI localization — drones, robots, delivery vehicles
- Taiwan partnerships — joint projects and student exchanges
How to apply
Email lt.hsu@polyu.edu.hk with:
- Who you are (name, affiliation, role)
- What you want to do (1-2 sentences)
- Why you think IPNL is a good fit
- Your CV and relevant publications
- Timeline and constraints
For PhD applications, please also mention your funding situation (self-funded, seeking fellowship, etc.) and your preferred start date.
Types of collaboration
Academic collaboration
- Joint publications and co-authored papers
- Dataset sharing and benchmark development
- Co-advised students (PhD, MPhil, visiting)
- Joint grant proposals
- Workshop and conference co-organization
Industry R&D
- Joint research projects (funded or unfunded)
- Algorithm evaluation and benchmarking
- Technology transfer and licensing discussions
- Technical advisory for product teams
Consulting / advisory
- Technical due diligence
- Architecture review for positioning systems
- Expert witness or technical opinion
What to expect
| Fast lane (can start quickly) | Slow lane (needs setup) |
|---|---|
| Evaluate your algorithm on UrbanNav | Joint data collection campaign |
| Technical Q&A call (30-60 min) | Co-supervised PhD student |
| Review a paper draft or proposal | Multi-year research program |
| Invited talk on existing topics | Custom dataset for your city |