PhD Position AI for road safety monitoring and crash prediction from micro to macro levels

8 Feb 2024
Job Information

Organisation/Company

National Technical University of Athens

Department

Department of Transportation Planning and Engineering

Research Field

Engineering » Civil engineering

Researcher Profile

First Stage Researcher (R1)

Country

Greece

Application Deadline

16 Feb 2024 - 11:59 (Europe/Athens)

Type of Contract

Temporary

Job Status

Full-time

Hours Per Week

36-40

Offer Starting Date

1 May 2024

Is the job funded through the EU Research Framework Programme?

HE / MSCA

Is the Job related to staff position within a Research Infrastructure?

No

Offer Description

Within the IVORY doctoral network, this PhD position aims (i) to investigate the effect of spatial scale on road safety monitoring and crash prediction, (ii) to develop a new state-of-the-art AI framework to observe and analyse road safety Key Performance Indicators and predict crashes by achieving transition from smaller scales (e.g., on a segment, intersection or neighbourhood level) to larger ones (e.g., highway corridor or prefecture/county level), taking into account the time dimension, and (iii) to assess the effectiveness and scalability of microscopic road safety models for macroscopic crash prediction and vice versa.

The position contributes to road safety research by evaluating several scaling combinations that will also feature capabilities of ‘zooming in/zooming out’ of study areas using different levels of telematics (e.g., trip-based, driver-based or network-based using several drivers) and synthesizing knowledge on comparable advantages and disadvantages for each analysis scale.

A case study utilising driver telematics in an urban area will be conducted, with actionable results, compatible with the vision and activities of OSeven – showcasing the impact of using AI for micro-analysis based on driver telematics and integrating the findings to larger scales.

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:

OSeven, Athens, Greece,

Months 1-18 of PhD

Secondment(s):

EIRA-SI, Ljubljana, Slovenia, Duration: 4 months

 

Requirements

Research Field

Engineering

Education Level

Master Degree or equivalent

Skills/Qualifications

• A Master's degree (or equivalent) in transport engineering / data science with a background (ideally BSc) in civil engineering / computer science
• Familiarity with big data in transport applications
• Familiarity with road safety / human factors
• Experience with data analysis (statistical analysis, machine learning, etc.)
• Applicants with MSc in human factors and with demonstrable data handling skills can also apply
• Strong conceptual and analytical skills
• Strong motivation and some experience to undertake research
• Excellent writing and presentation skills
• The ability to work both independently and as part of a team
• Coding skills in Python programming language
• High level of proficiency in English

  • 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 100 

  • Doing a PhD at NTUA requires English proficiency at a certain level to ensure that the candidate is able to communicate and interact well, participate in English-taught Doctoral Education courses, and write scientific articles and a final thesis.

Specific Requirements

Familiarity with data handling and manipulation, experience working with big data

Familiarity and hands-on experience with mapping and spatial analysis

Passion about road infrastructure and transport safety fields

Languages

ENGLISH

Level

Excellent

Research Field

Engineering » Civil engineering

Additional Information
Benefits

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.

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.

Website for additional job details

https://www.nrso.ntua.gr/ntua-marie-curie-new-phd-vacancy-ai-for-road-safety-mo…

Work Location(s)

Number of offers available

1

Company/Institute

National Technical University of Athens

Country

Greece

State/Province

Zografos

City

Athens

Postal Code

15773

Street

Iroon Polytechniou 24

Where to apply

E-mail

[email protected]

Contact

State/Province

Zografos

City

Athens

Website

https://www.nrso.ntua.gr/

Street

Iroon Poytechniou 24

Postal Code

15773

E-Mail

[email protected]

STATUS: EXPIRED