As at February 2023 please note that this program is at capacity, and we are not accepting new applications. We leave the following information below for posterity, for those interested in how this program did work.



The program pairs businesses with Universities and PhD students to work on an agreed topic over a three-year period.

The student has academic and iMOVE support, access to additional professional development activities, as well as a competitive stipend over this period.

TMR CHAD project vehicle Renault ZOE

Benefits for Industry

  • A high-quality R&D resource for the business
  • In-depth investigation of a topic
  • Ongoing assistance from the university and iMOVE
  • Connections to other organisations and networks in the same and related areas
  • Access to industry events and opportunities through iMOVE
  • Develop up-and-coming talent
EasyMile EZ10 driverless shuttle, side view, University of Melbourne

Benefits for Universities

  • Develop and strengthen linkages with industry
  • Deliver industry-ready graduates
  • Promote expertise
student in library

Benefits for Students

  • Real-world experience
  • Strengthen technical and soft skills
  • Chance to meet potential employers
  • Create industry networks early

As at February 2023 please note that this program is at capacity, and we are not accepting new applications. We leave the following information below for posterity, for those interested in how this program did work.

How does the program work?

Companies can form iMOVE Industry PhD projects in a few ways, including:

  • Contacting us with topics/thoughts, and to find the right university / student when ready
  • Talking to existing iMOVE university partners directly to develop a project
  • Universities can also approach industry/government partners to develop a project idea before applying to iMOVE.

Visit our Transport Research Activities page for a guide to what research topics fall within iMOVE areas of interest.


PhD funding is $40,000 a year for a maximum of three years, which includes the student stipend and a travel and materials allowance for the project. The industry / government partner contributes $20,000 per annum, the remaining $20,000 is contributed by iMOVE and the university combined.

Who is eligible?

  • Any ‘industry’ participant (business / government) – you don’t need to be an existing iMOVE CRC partner
  • Universities must be one of the 17 that is an iMOVE partner

Please note, applications must come via the university or industry partner. Students should contact their university to discuss any application to join the program.

How to apply

FEBRUARY 2023 UPDATE: Due to overwhelming success we are at capacity for Industry-based PhDs and are no longer accepting applications.

See PhD student profiles

Read about the experience of some of the participants in this program, their projects, and words from their supervisors. We’re adding more profiles all the time, and they can be viewed at our List of PhD student profiles page.

List of PhD projects

Below is a list of the projects initiated by the iMOVE Industry PhD program.

5-051ITSSecure Data Provenance in the Internet of VehiclesActiveDeakin UniversityMore infoNATIONAL
5-046ITSMisbehaviour detection in C-ITSActiveDeakin UniversityMore infoNATIONAL
5-004ITSAutonomous vehicles in highly crowded pedestrian environmentsCompletedTransport for NSW, University of SydneyMore infoNSW
5-060ITSSecure supervisory architecture for smart & autonomous vehiclesActiveUniversity of Newcastle, Transport for NSWMore infoNATIONAL
5-038FreightThe relationship between vehicle telemetry and sustainabilityActiveEdith Cowan UniversityMore infoNATIONAL
5-058ITSQueue length estimation at signalised intersectionsActiveUniversity of Queensland, Department of Transport and Main Roads (Queensland), TransmaxMore infoQLD
5-056FreightIntegrated last mile network design for parcel deliveryActiveUniversity of SydneyMore infoNATIONAL
5-037SustainabilityExperiments on consumer preferences for sustainable airlinesActiveUniversity of Sydney, Air New ZealandMore infoNATIONAL
5-048ITSEmergency facilities location and transportation routingActiveUniversity of SydneyMore infoNATIONAL
5-039FreightHybrid drone/truck last mile delivery planning for e-groceriesCompletedUniversity of SydneyMore infoNSW
5-035ITSReal-time crash risk estimation using machine learningActiveQUTMore infoQLD
5-034MobilityBuilding trust and collaboration among MaaS stakeholdersActiveUniversity of SydneyMore infoNATIONAL
5-049ITSBus performance assessment using GTFS dataActiveUniversity of SydneyMore infoNSW
5-054ITSOptimising multimodal transport networks: Sharing road spaceActiveUniversity of Technology SydneyMore infoNSW
5-052ITSInnovative road network pricing modelsActiveSwinburne University of TechnologyMore infoVIC
5-040MobilityRole of heterogeneity in active travellers’ injury severity analysisActiveQUTMore infoQLD
5-059ITSEmpirical modelling of traffic states and route choice behaviourActiveQUTMore infoQLD
5-042ITSAdvanced driver state monitoring systemCompletedRMIT UniversityMore infoVIC
5-050MobilityMaaS and PT integration: Focus on vulnerable travellersActiveRMIT UniversityMore infoNATIONAL
5-047FreightSeafarer training for autonomous shipping: Needs & challengesActiveUniversity of TasmaniaMore infoTAS
5-041ITSCooperative eco-driving system for mixed traffic on urban roadsActiveUniversity of QueenslandMore infoQLD
5-036FreightEvaluating urban freight impacts via sustainable alternativesActiveDeakin UniversityMore infoVIC
5-044ITSElectric vehicles: Supporting uptake, investigating smart chargingActiveUniversity of QueenslandMore infoQLD
5-031FreightEstimating freight origin-destination activity using video and dataActiveSwinburne University of TechnologyMore infoVIC
5-030ITSUsing a data-driven approach to improve intersection modellingActiveUniversity of Western AustraliaMore infoWA
5-029FreightAn empirical analysis of drone ecosystems in 4PL logisticsActiveUniversity of Sydney, Thales AustraliaMore infoNSW
5-032FreightAutomated farm-to-shop freight quality assurance systemActiveUniversity of NewcastleMore infoNSW
5-033FreightDecentralised data sharing platform for supply chainsActiveQUTMore infoNATIONAL
5-024MobilityPedestrian and cyclist interaction with autonomous vehiclesCompletedUniversity of QueenslandMore infoQLD
5-023MobilityDeveloping empirical customer-centric public transportActiveTransdev, University of Technology SydneyMore infoNSW
5-028ITSStrengthening cybersecurity in vehicular networksActiveIAG, University of Technology SydneyMore infoNSW
5-027MobilityDigitalisation and implications on workforce skills developmentActiveRMIT UniversityMore infoNATIONAL
5-019ITSModelling traffic congestion as a contagionCompletedUniversity of NSWMore infoNSW, VIC
5-016ITSNext-generation integrated traffic controlActiveQUTMore infoQLD
5-007ITSNon-invasive vehicle classification solution using tracking radarActiveSensys Gatso Group, University of MelbourneMore infoVIC
5-013ITSModelling traffic disruption impact: Deep Learning & simulationActiveUniversity of Technology SydneyMore infoNSW
5-021FreightFixed-wing drones and small package deliveryActiveRMIT UniversityMore infoVIC
5-012FreightUsing real-time data to preserve Aussie berries in transitActiveDeakin UniversityMore infoVIC
5-015FreightUrban freight: Optimising loading/unloading baysCompletedDeakin UniversityMore infoVIC
5-010FreightAutonomous mobile lockers for city logistics
CompletedUniversity of SydneyMore infoNSW
5-017ITSVehicular network architecture using the 5G standardCompletedUniversity of NewcastleMore infoNSW
5-008FreightTransformative commercial urban delivery solutionsActiveSwinburne University of TechnologyMore infoVIC
5-018FreightRisks in blockchain integrated container shipping systemsCompletedUniversity of TasmaniaMore infoTAS
5-022ITSMacroscopic Fundamental Diagram: Measuring flow and densityCompletedUniversity of QueenslandMore infoQLD
5-020ITSDemand management/estimation in large-scale traffic networksCompletedUniversity of QueenslandMore infoQLD
5-011ITSMultimodal operation of smart intersectionsActiveUniversity of Melbourne, RACQMore infoVIC
5-009ITSOptimising signal control in CAV and VRU mixed environmentsActiveSynergistic Traffic Consultancy, University of NSWMore infoNSW
5-006MobilityVRU and CAV interactionsActiveDepartment of Transport and Main Roads (Queensland), QUT, University of NSWMore infoQLD
5-003ITSCyber security for connected vehicles and vehicular networksCompletedIAG, University of Technology SydneyMore infoNSW
5-002ITSHow safe are the perception capabilities of autonomous cars? CompletedIAG, University of SydneyMore infoNSW
5-001ITSGreen wave for high capacity public transport servicesCompletedTransport for NSW, University of Technology SydneyMore infoNSW