PhD on Integrated mobility service for passengers and parcels
PhD on Integrated mobility service for passengers and parcels
You cannot apply for this job anymore (deadline was 19 Mar 2023).
Browse the current job offers or choose an item in the top navigation above.
Job description
Are you interested to be part of a national project aiming at promoting smart mobility solutions and testing of different scenarios by developing digital twins of solutions?
Do you believe in a future where MaaS (Mobility as a Service) can be a convenient replacement of private cars?
Do you think combining last-mile parcel delivery with passenger mobility is a viable scheme with potential to reduce the distance travelled? And if so, what would be the business models to make the integration work efficiently?
Are you eager to work with many other PhDs and post-docs, various companies, and municipalities in the Netherlands to test a wide range of smart mobility solutions within the digital twin of Dutch cities?
Job Description
Increasing housing density and decreasing space for transport infrastructure and private parking are posing severe challenges to the sustainable accessibility of urban regions. There is an urgent need for space-efficient smart mobility solutions that do not depend on the single-use and possession of a private car, such as flexible combinations of walking and cycling, shared electric vehicles, transport hubs, freight delivery and traffic management. However, it is highly uncertain whether these solutions can indeed provide sufficient levels of sustainable accessibility to people's activities. XCARCITY, the project of which this PhD position is part, develops a federation of digital twins that will support stakeholders in collaborative decision-making for the planning and operation of smart mobility services.
The task of this PhD in particular is as follows:
Identifying the acceptance, adoption rate, and barriers in the use of MaaS and integrating it with last-mile parcel delivery. Passengers, recipients and drivers of demand-responsive transports will be among the stakeholders who will be approached.
Investigating an appropriate business model in each pilot area for the integrated system is yet another one of the objectives which will be explored by arranging workshops with stakeholders and having an intensive discussion of the pros and cons of various integration scheme and associated business models.
Two pilot studies, one in Amsterdam and one in Rotterdam will take place to calibrate the parameters of the model developed for adoption and acceptance.
The parcel demand, passenger demand, and combined travel needs to be integrated into the digital twin so that the state of the multi-modal network (dynamic network design) on the service operation can be understood.
Do you believe in a future where MaaS (Mobility as a Service) can be a convenient replacement of private cars?
Do you think combining last-mile parcel delivery with passenger mobility is a viable scheme with potential to reduce the distance travelled? And if so, what would be the business models to make the integration work efficiently?
Are you eager to work with many other PhDs and post-docs, various companies, and municipalities in the Netherlands to test a wide range of smart mobility solutions within the digital twin of Dutch cities?
Job Description
Increasing housing density and decreasing space for transport infrastructure and private parking are posing severe challenges to the sustainable accessibility of urban regions. There is an urgent need for space-efficient smart mobility solutions that do not depend on the single-use and possession of a private car, such as flexible combinations of walking and cycling, shared electric vehicles, transport hubs, freight delivery and traffic management. However, it is highly uncertain whether these solutions can indeed provide sufficient levels of sustainable accessibility to people's activities. XCARCITY, the project of which this PhD position is part, develops a federation of digital twins that will support stakeholders in collaborative decision-making for the planning and operation of smart mobility services.
The task of this PhD in particular is as follows:
Identifying the acceptance, adoption rate, and barriers in the use of MaaS and integrating it with last-mile parcel delivery. Passengers, recipients and drivers of demand-responsive transports will be among the stakeholders who will be approached.
Investigating an appropriate business model in each pilot area for the integrated system is yet another one of the objectives which will be explored by arranging workshops with stakeholders and having an intensive discussion of the pros and cons of various integration scheme and associated business models.
Two pilot studies, one in Amsterdam and one in Rotterdam will take place to calibrate the parameters of the model developed for adoption and acceptance.
The parcel demand, passenger demand, and combined travel needs to be integrated into the digital twin so that the state of the multi-modal network (dynamic network design) on the service operation can be understood.
Specifications
- max. 38 hours per week
- Eindhoven View on Google Maps
:fill(white)/logos/tue-en-wide_acOLN2b.png)
Eindhoven University of Technology (TU/e)
Requirements
- A master's degree (or an equivalent university degree) in transportation, travel behavior, operational research, and related fields.
- Preknowledge about stated choice experiment design and discrete choice modeling.
- A research-oriented attitude.
- Ability to work in an interdisciplinary team and interest in collaborating with industrial partners.
- Motivated to develop your teaching skills and coach students.
- Fluent in spoken and written English (C1 level).
Conditions of employment
A meaningful job in a dynamic and ambitious university, in an interdisciplinary setting, and within an international network. You will work on a beautiful, green campus within walking distance of the central train station. In addition, we offer you:
- Full-time employment for four years, with an intermediate evaluation (go/no-go) after nine months. You will spend 10% of your employment on teaching tasks.
- Salary and benefits (such as a pension scheme, paid pregnancy and maternity leave, partially paid parental leave) in accordance with the Collective Labour Agreement for Dutch Universities, scale P (min. € 2.541,- max. € 3.247).
- A year-end bonus of 8.3% and annual vacation pay of 8%.
- High-quality training programs and other support to grow into a self-aware, autonomous scientific researcher. At TU/e we challenge you to take charge of your own learning process.
- An excellent technical infrastructure, on-campus children's day care, and sports facilities.
- An allowance for commuting, working from home, and internet costs.
- A Staff Immigration Team and a tax compensation scheme (the 30% facility) for international candidates.
