IVORY - Artificial Intelligence for Vision Zero in Road Safety
PhD Candidate Vacancy Description
Within the framework of the Horizon Marie Skłodowska-Curie Actions (MSCA) Industrial Doctoral
Network IVORY - Artificial Intelligence for Vision Zero in Road Safety, a call for applications for the
following Industrial PhD candidate has been launched, to be hosted by National Technical University
of Athens (NTUA), a Centre of Road Safety Research Excellence with global recognition.
 PhD #8                  Proactive risk mapping and
                         infrastructure safety management
 Vacancy description     Within the IVORY doctoral network, this PhD position aims to create an AI
                         framework to process, harmonise, analyse and model an array of different
                         available datasets and provide outputs in the form of risk mapping and
                         network-level evaluations. It will develop new AI algorithms for road attribute
                         collection, along with methodologies to assess and quantify their accuracies,
                         suitable for network applications and including hybrid, e.g., manually collected
                         data and will use the AI-augmented dataset creation effort for a suitable
                         working methodology for the generation of hybrid road attribute data and
                         enhanced proactive risk mapping.
                         The position contributes to road safety research by formulating a functional
                         framework with the use of AI to exploit road risk information in a meaningful
                         manner, transferable between networks. It will assess and quantify the
                         influence of each examined factor on the output of AI algorithms for safety
                       management. A case study with actionable results will be conducted,
                       compatible with the mission and activities of iRAP – namely, a proactive risk
                       mapping and evaluation of a network and comparison with existing risk-
                       mapping results, and quantification of transferability to a second network.
Project description    IVORY (ivory-network.eu) is a Horizon Europe MARIE SKLODOWSKA-CURIE
                       ACTION Industrial Doctoral Network consisting of 22 partners (universities,
                       industry, and non-governmental organizations). The project aims to develop a
                       new framework for the integration of AI in road safety and train a new
                       generation of leading researchers in the field, in order to address the UN
                       Sustainable Development Goals target 3.6 (halving the number of traffic
                       fatalities by 2030) and EC ‘Vision Zero’ strategy (eliminating traffic fatalities by
                       2050).
                       PhD students will obtain their PhD degree from the relevant academic partner,
                       and spend at least 50% of their PhD time at the relevant non-academic partner.
Academic host          National Technical University of Athens (NTUA), Athens, Greece
                       School of Civil Engineering
                       Department of Transportation Planning and Engineering
                       Months 19-36 of PhD
Industry host          iRAP, London, United Kingdom, Month 1-18 of PhD
Secondment(s)          FRED Engineering, Rome, Italy, Duration: 4 months
                       OSeven, Athens, Greece, Duration: 9 months
Research field(s)      Transport engineering; Traffic safety; Data science; Spatial analysis
Application deadline   16 February 2024
Type of contract       Fixed-term
Employment status      Full time (1.0 fte)
Eligibility criteria   •   A Master's degree (or equivalent);
                       •   Not in possession of a doctoral degree at the date of the recruitment;
                       •   Recruited applicants can be of any nationality and must undertake trans-
                           national mobility (i.e., move from one country to another) when taking up
                           the appointment. In particular, at the time of selection, the recruited
                           applicant for this position must not have resided or carried out their main
                           activity (work, studies, etc.) in the United Kingdom for more than 12
                           months in the 3 years immediately prior to their recruitment. Short stays,
                           such as holidays, are not taken into account.
Required skills        •   A Master's degree (or equivalent) in any technical science
                       •   Familiarity and hands-on experience with machine learning algorithms
                       •   Familiarity with statistics (statistical tests and regression) and probability
                           distributions
                       •   Coding skills in Python or R
                       •   Strong conceptual and analytical skills
                       •   Proven capacity to undertake research
                       •   Excellent research, academic writing and presentation skills
                       •   The ability to work both independently and as part of a team
                       •   High level of proficiency in English
Optional skills       •   Familiarity with data handling and manipulation, experience working with
(preferred but not        big data
required)             • Passion about road infrastructure and transport safety fields
                      • Commitment to undertaking multi-year (3 years or more) doctoral
                          research
English requirement   Proof of English language proficiency at a Common European Framework of
                      Reference (CEFR) level of C1, or an MSc degree in English, or IELTS: minimum
                      8.0 / TOEFL: minimum 110
Salary                The successful candidate will receive an attractive salary following the MSCA
                      regulations for doctoral candidates. The exact salary will vary depending on the
                      country of the host partner and will be confirmed upon appointment. The
                      salary includes a living allowance, a mobility allowance, and a family allowance
                      (if the recruited doctoral candidate has or acquires family obligations during
                      the duration of the fellowship), and is very competitive overall.
Other benefits        In addition, the doctoral candidate will benefit from extensive training within
                      the IVORY network, which includes internships/secondments in other
                      laboratories, a variety of training courses (including transferable skills), and
                      active participation in workshops and conferences.
Application process   •   Candidates should apply electronically using the link indicated in the PhD
                          position(s) of their interest;
                      •   Candidates should provide the following documents:
                          o Detailed CV, including information on the candidate’s proficiency in
                              English
                          o Motivation letter (1 page), describing why the position fits the
                              applicant
                          o Contact information of 2 references
Academic host         The National Technical University of Athens (NTUA) is the oldest engineering
                      school in Greece and it plays a paragon role in the scientific, technical and
                      economic development of Greece but also in Europe and worldwide,
                      consistently ranking as the best Greek technical university. Lately, it is ranked
                      among the top engineering and technology universities (3rd in Europe and 7th
                      worldwide) by Shanghai World University Rankings. NTUA has been involved
                      in more than 160 road safety research projects since the early 1990s,
                      comprising 70 European Commission projects, 14 International Organisation
                      projects (UN-ECE, WHO, EIB, World Bank, ITF, CEDR) and 76 Greek projects.
                      NTUA has well established communication channels to promote research
                      findings: more than 800 road safety scientific publications highly cited globally,
                      including more than 220 in scientific journals and 550 in scientific conferences.
                      The NTUA Road Safety Observatory (NRSO) (www.nrso.ntua.gr) has a
                      widespread recognition at the global road safety community as a center of
                      research and innovation excellence on road safety, having received during the
                      last 10 years more than 150.000 road safety visitors and more than 2,800,000
                      visits (today steadily more than 3.000 visits per month).
Industry host         The International Road Assessment Programme (iRAP) is a registered charity
                      dedicated to saving lives by eliminating high risk roads throughout the world.
                      Like many life-saving charities working in the public health arena, we use a
                      robust, evidence-based approach to prevent unnecessary deaths and
                      suffering. iRAP works in partnership with governments, road authorities,
              mobility clubs, development banks, NGOs and research organisations to:
              • Inspect high-risk roads and develop Star Ratings, Risk Maps and Safer Roads
              Investment Plans
              • Provide training, technology and support that will build and sustain
              national, regional and local capability
              • Track road safety performance so that funding agencies can assess the
              benefits of their investments.
Additional    For more information about this vacancy, please contact Professor George
information   Yannis at this email address: geyannis@central.ntua.gr