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 IMOVE INDUSTRY PHD PROGRAM IS AN EXCITING OPPORTUNITY FOR COMPANIES AND GOVERNMENT TO WORK CLOSELY WITH THE BEST AND BRIGHTEST STUDENTS TO DEVELOP NEW TECHNOLOGY, PROCESSES, AND THINKING.

 

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.

student-collaboration-circ-crop
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.

Funding

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.

NUMBERPROJ. ID#THEMEPROJECT TITLESTATUSPARTICIPANTSLINKREGION
1555-051ITSSecure Data Provenance in the Internet of VehiclesActiveDeakin UniversityMore infoNATIONAL
1535-046ITSMisbehaviour detection in C-ITSActiveDeakin UniversityMore infoNATIONAL
1395-004ITSAutonomous vehicles in highly crowded pedestrian environmentsCompletedTransport for NSW, University of SydneyMore infoNSW
1365-060ITSSecure supervisory architecture for smart & autonomous vehiclesActiveUniversity of Newcastle, Transport for NSWMore infoNATIONAL
1275-038FreightThe relationship between vehicle telemetry and sustainabilityActiveEdith Cowan UniversityMore infoNATIONAL
1235-058ITSQueue length estimation at signalised intersectionsActiveUniversity of Queensland, Department of Transport and Main Roads (Queensland), TransmaxMore infoQLD
1195-056FreightIntegrated last mile network design for parcel deliveryActiveUniversity of SydneyMore infoNATIONAL
1185-037SustainabilityExperiments on consumer preferences for sustainable airlinesActiveUniversity of Sydney, Air New ZealandMore infoNATIONAL
1175-048ITSEmergency facilities location and transportation routingActiveUniversity of SydneyMore infoNATIONAL
1155-039FreightHybrid drone/truck last mile delivery planning for e-groceriesCompletedUniversity of SydneyMore infoNSW
1145-035ITSReal-time crash risk estimation using machine learningActiveQUTMore infoQLD
1115-034MobilityBuilding trust and collaboration among MaaS stakeholdersActiveUniversity of SydneyMore infoNATIONAL
1085-049ITSBus performance assessment using GTFS dataActiveUniversity of SydneyMore infoNSW
1075-054ITSOptimising multimodal transport networks: Sharing road spaceActiveUniversity of Technology SydneyMore infoNSW
1065-052ITSInnovative road network pricing modelsActiveSwinburne University of TechnologyMore infoVIC
1045-040MobilityRole of heterogeneity in active travellers’ injury severity analysisActiveQUTMore infoQLD
1035-059ITSEmpirical modelling of traffic states and route choice behaviourActiveQUTMore infoQLD
1015-042ITSAdvanced driver state monitoring systemCompletedRMIT UniversityMore infoVIC
1005-050MobilityMaaS and PT integration: Focus on vulnerable travellersActiveRMIT UniversityMore infoNATIONAL
0985-047FreightSeafarer training for autonomous shipping: Needs & challengesActiveUniversity of TasmaniaMore infoTAS
0945-041ITSCooperative eco-driving system for mixed traffic on urban roadsActiveUniversity of QueenslandMore infoQLD
0935-036FreightEvaluating urban freight impacts via sustainable alternativesActiveDeakin UniversityMore infoVIC
0925-044ITSElectric vehicles: Supporting uptake, investigating smart chargingActiveUniversity of QueenslandMore infoQLD
0875-031FreightEstimating freight origin-destination activity using video and dataActiveSwinburne University of TechnologyMore infoVIC
0835-030ITSUsing a data-driven approach to improve intersection modellingActiveUniversity of Western AustraliaMore infoWA
0815-029FreightAn empirical analysis of drone ecosystems in 4PL logisticsActiveUniversity of Sydney, Thales AustraliaMore infoNSW
0785-032FreightAutomated farm-to-shop freight quality assurance systemActiveUniversity of NewcastleMore infoNSW
0755-033FreightDecentralised data sharing platform for supply chainsActiveQUTMore infoNATIONAL
0705-024MobilityPedestrian and cyclist interaction with autonomous vehiclesCompletedUniversity of QueenslandMore infoQLD
0675-023MobilityDeveloping empirical customer-centric public transportActiveTransdev, University of Technology SydneyMore infoNSW
0645-028ITSStrengthening cybersecurity in vehicular networksActiveIAG, University of Technology SydneyMore infoNSW
0625-027MobilityDigitalisation and implications on workforce skills developmentActiveRMIT UniversityMore infoNATIONAL
0515-019ITSModelling traffic congestion as a contagionCompletedUniversity of NSWMore infoNSW, VIC
0495-016ITSNext-generation integrated traffic controlActiveQUTMore infoQLD
0485-007ITSNon-invasive vehicle classification solution using tracking radarActiveSensys Gatso Group, University of MelbourneMore infoVIC
0475-013ITSModelling traffic disruption impact: Deep Learning & simulationActiveUniversity of Technology SydneyMore infoNSW
0465-021FreightFixed-wing drones and small package deliveryActiveRMIT UniversityMore infoVIC
0445-012FreightUsing real-time data to preserve Aussie berries in transitActiveDeakin UniversityMore infoVIC
0425-015FreightUrban freight: Optimising loading/unloading baysCompletedDeakin UniversityMore infoVIC
0415-010FreightAutonomous mobile lockers for city logistics CompletedUniversity of SydneyMore infoNSW
0405-017ITSVehicular network architecture using the 5G standardCompletedUniversity of NewcastleMore infoNSW
0395-008FreightTransformative commercial urban delivery solutionsActiveSwinburne University of TechnologyMore infoVIC
0375-018FreightRisks in blockchain integrated container shipping systemsCompletedUniversity of TasmaniaMore infoTAS
0365-022ITSMacroscopic Fundamental Diagram: Measuring flow and densityCompletedUniversity of QueenslandMore infoQLD
0355-020ITSDemand management/estimation in large-scale traffic networksCompletedUniversity of QueenslandMore infoQLD
0345-011ITSMultimodal operation of smart intersectionsActiveUniversity of Melbourne, RACQMore infoVIC
0325-009ITSOptimising signal control in CAV and VRU mixed environmentsActiveSynergistic Traffic Consultancy, University of NSWMore infoNSW
0285-006MobilityVRU and CAV interactionsActiveDepartment of Transport and Main Roads (Queensland), QUT, University of NSWMore infoQLD
0195-003ITSCyber security for connected vehicles and vehicular networksCompletedIAG, University of Technology SydneyMore infoNSW
0185-002ITSHow safe are the perception capabilities of autonomous cars? CompletedIAG, University of SydneyMore infoNSW
0115-001ITSGreen wave for high capacity public transport servicesCompletedTransport for NSW, University of Technology SydneyMore infoNSW