This is a role for someone who wants their work to be visible and make a difference. Whether you are finishing your PhD in 2025 and looking for an ambitious first postdoc, or you are already a postdoc and would like a new start with stronger opportunities, we would be glad to hear from you.
My research lab at the University of Wyoming invites applications for fully funded PhD positions starting in Spring or Fall 2026. The lab’s mission is to advance safe, intelligent, and connected transportation systems by integrating interdisciplinary expertise and emerging technologies in Artificial Intelligence (AI), digital twins, Vehicle-to-Everything (V2X), and human factors.
Hong Kong PhD Fellowship (HKPFS) is open for applications, with the deadline of 1 December 2025.
I continue looking for candidates interested in working together at the University of Hong Kong. Their research interests should relate to mine, situated at the intersection of urban studies and transport/mobilities (see: https://www.arch.hku.hk/staff/upad/keblowski-wojciech/), and they should have graduated from a top university with high grades.
Free opportunity to learn ML from university of Tokyo టోక్యో విశ్వవిద్యాలయం in online mode
Key Features of the Program:
Duration: September 17 – December 17, 2025 (14 online sessions, usually start from 16:30(Indian Standard Time))
Eligibility: Open to all levels (Python background recommended, but not required)
Format: Online lectures with learning support (office hours, study communities)
Certificate: Participants will receive a certificate of completion
Opportunities: Outstanding students may be selected for joint research projects with the University of Tokyo
Fee: Free of charge
Our research group in the Department of Civil and Environmental Engineering at the University of Canterbury (UC), New Zealand, is recruiting a Postdoctoral Research Fellow and multiple PhD students for 2025/2026.
Research Focus:
– Connected and autonomous vehicles (CAV)
– Traffic control and signal optimisation
– Navigation and routing strategies
– Operations research
– Big data analytics and machine learning
