15 PhD Positions within the IVORY network
Would you like to make an impact in the reduction of road traffic fatalities around the world? Are you passionate about research and development on emerging technologies? Are you ready to become one of the future leading researchers in the field of AI in road safety?
The IVORY network has 15 fully funded PhD positions covering all aspects of AI in road safety: engineering, human factors, computer science, ethics of technology, and more.
Industrial doctorates PhD trajectory
Every PhD position is shared between an academic host and an industry host. The admitted applicant will be enrolled in a PhD program at the relevant academic host institution for the entire duration of the PhD (which can differ from country to country). However, he/she will spend 50% of the PhD at the relevant industry host; in many of the positions, additional short secondments are foreseen in order to develop specific skills and work on specific aspects of the PhD.
During the trajectory, there will be several training sessions, as well as several consortium meetings in which all PhD students of the network will participate and share their knowledge with one another. Every PhD position is entitled to the regular PhD requirements of the relevant academic host (e.g. coursework, mid-term evaluation, final thesis, etc.).
Eligibility Criteria
The Doctoral Candidate (DC):
- must not have a doctoral degree at the date of their recruitment;
- can be of any nationality;
- should be enrolled in a doctoral programme at the relevant academic host during the project;
- should spend at least 50% of their time at the relevant industry host;
- should comply with the mobility rule: they must not have resided or carried out their main activity (work, studies, etc.) in the country of the first recruiting organisation for more than 12 months in the 36 months immediately before their recruitment date. (Compulsory national service, short stays such as holidays and time spent as part of a procedure for obtaining refugee status under the Geneva Convention are not taken into account) – the employer is required to verify this fact, therefore the DC may be required to provide supporting documentation proving the DC’s place(s) of residence or work during the previous 3 years.
Financial aspects
All of the PhD positions are paid. A highly competitive salary is foreseen for a DC, according to the Marie-Curie programme regulations. It is composed of the following allowances:
- Living allowance: (multiplied by a country coefficient) – corresponds to the Monthly Gross salary
- Mobility allowance (private mobility related costs)
- Other allowances – only if applicable at the beginning or during the action – concern Family allowance, Long term leave allowance, and Special needs allowance
The net salary calculation depends on the employment rules and conditions in each country. The total allowances received for DC’s salary are subject to tax and social contributions (employer’s and employee’s). For more information, please look at specific vacancies at the host institutions.
Application process
Are you interested in any of the PhD positions? We would like to receive your motivation letter (explaining why a specific position is interesting for you, how would your skillset fit that position), together with your curriculum vitae both in English, before 30-01-2024. Please also include names and contact information of 2 references.
Applications are only accepted through the submission mode indicated in the respective vacancy announcements of the academic host institutions. Please read them carefully, as applications submitted through a different mode will not be examined (the links to each position’s announcement can be found in PhD Positions Table below).
PhD positions
– Responsible, fair and impactful AI for road safety: PhDs 1, 2, 3
– Road user assistance and human-automation interaction: PhDs 4, 5, 6, 7, 14
– Proactive infrastructure safety management: PhDs 8, 9, 10, 11, 12 , 13, 15
Overview of PhD Positions
Position title
Academic Host
Industry Host
Vacancy
DC1. How to implement justice in AI for road safety?
TUD (NL)
RHDHV (NL)
DC2. Explainable AI for road safety: benchmarking AI methods and data?
TUD (NL)
Agilysis (UK)
DC3. AI for road safety in LMICs
FPZ (HR)
Agilysis (UK)
DC4. Road user profiling using multimodal data of naturalistic driving databases
UH (BE)
CARDIO (PT)
DC5. AI to mitigate driver distraction and drowsiness at different levels of automation
TUD (NL)
PSA-LAB (FR)
DC6. Learning from the whole spectrum of driver behaviour: from unsafe to optimal driving
TUD (NL)
RHDHV (NL)
DC7. Data fusion of traffic, behaviour & infrastructure for holistic driver assistance
NTUA (GR)
O7 (GR)
DC8. Proactive risk mapping and infrastructure safety management
NTUA (GR)
iRAP (UK)
DC9. AI for road safety monitoring and crash prediction from micro- to macro levels
NTUA (GR)
O7 (GR)
DC10. Using AI for the identification, monitoring and utilisation of a personalised self-learning safe route network for home-school trips
UH (BE)
ABEONA (BE)
DC11. AI for proactive safety detection using conflict techniques
UH (BE)
CEGEKA (BE)
DC12. Harmonisation and hybrid application of AI datasets for road safety
FPZ (HR)
iRAP (UK)
DC13. AI-aided BIM-based design for road infrastructure
UH (BE)
RHDHV (NL)
DC14. Road safety prediction on the basis of ethically sound physiological measurements
NTUA (GR)
CARDIO (PT)
DC15. Use of advanced AI Chat models for advising road authorities on Vulnerable Road User safety improvements
FPZ (HR)
ABEONA (BE)
Additional information
For more information about the IVORY project, please contact Dr. Eleonora Papadimitripu (e.papadimitriou@tudelft.nl)
For more information about any of the vacancies, please contact the respective contact person mentioned at the relevant academic host institutions (please use the “Go to vacancy” buttons in the PhD Positions Table).