BRIDGITISE PhD candidates will benefit from:
• An interdisciplinary and collaborative environment where innovation thrives.
• Coordinated research supervision involving academic and industrial partners.
• Development of data analytical skills to manage complex topics.
• Training in effective communication and writing to engage both technical and non-technical audiences.
List of open PhD positions:
Overall eligibility criteria
Applicants must comply with MSCA eligibility criteria:
• At the date of the recruitment they must not possess a doctoral degree.
• They must comply with the mobility rule that is: they must not have resided or carried out their main activity (work, studies, etc.) in the country of the recruiting beneficiary for more than 12 months in the 36 months immediately before their recruitment date.
• They must comply with the profile described for the position.
Please find the additional information regarding the rights and obligations of MSCA fellows, regarding employment conditions, integrity, and excellence here.
Monthly salary
The Marie Skłodowska-Curie Actions (MSCA) programme offers a highly competitive and attractive salary and working conditions. The successful candidates will receive a gross salary in accordance with the MSCA regulations for doctoral candidates.
Exact gross salary will be confirmed upon appointment (employer costs and other deductions depend on recruiting host): living allowance = €3.400/month (correction factor to be applied per country) + monthly mobility allowance = €600. An additional monthly allowance of €660 is applicable depending on the family situation. The gross salary indicated above is paid for a maximum of 36 months.
For longer duration of the DC project, specific agreement with the host institution can be made.
Due to difference in the correction factor between the different countries the salary may change when the DCs change beneficiary (1 academic and 1 industrial).
In addition to their individual scientific projects, all fellows will benefit from further continuing education, which includes secondments (internships), a variety of training modules as well as transferable skills courses and active participation in workshops and conferences.
Within BRIDGITISE each recruited researcher will for most projects spend one secondment period at one of the other complementary Beneficiaries or Associated Partners.
How to apply:
Send your application to bridgitise@gmail.com
OPEN POSITION: DC4 – WIM – Advanced Bridge Weigh in Motion (B-WIM) performance
Host institutions: Slovenian National Building and Civil Engineering Institute (ZAG), Cestel (CES)
Secondment: University of Twente (TWE)
Country: Slovenia, Italy, Netherlands
PhD enrollment: University of Ljubljana
Duration: 36 months
Supervisors: A. Žnidarič, A. Anžlin (ZAG), M. Skobir (CES)
Objectives: Leverage vision-based monitoring and machine learning (ML) to enable enforcement-based BWIM
Expected Results: (1) Labelled database (2) ML classification tool (3) Validated prototype of ML-BWIM system (4) Accepted peer-reviewed papers. (5) Successfully defended PhD thesis.
Description: Prolonging the lifetime of highway bridges based on measured traffic loads is essential for reducing resource exploitation and traffic delays. Financially, this can result in millions of Euros annual savings in maintenance and user costs. Bridge weight in motion systems (B-WIM) can efficiently collect this data, however, their accuracy and reliability do not meet the metrology standard requirements, preventing their use in legal enforcement applications. In this project, a next-generation B-WIM system will be developed leveraging machine learning (ML) technology to process the vast amount of data from different sources (traditional B-WIM, traffic cameras etc.) collected by the industrial supervisor CES. Supported by the expert knowledge of the academic supervisor ZAG, the DC will form data pillars composed of B-WIM measured and processed strain data and synchronized photos acquired by traffic cameras. During the secondment at TWE, a vision-based algorithm will be built to extract vehicle type and dimensions from these photos. Under the supervision of POB, both data pillars will be used to develop a next-level ML classification tool, a prerequisite for a more accurate B-WIM system that will comply with metrology requirements. The ML tool will (i) identify critical aspects in the current B-WIM data
processing and (ii), through a sensitivity analysis, recognize data types with the most influential impact on the accuracy and reliability of B-WIM results. Finally, the enriched ML-BWIM will be validated in normal operating conditions under the supervision of CES.
Required profile/research interests:
• The candidate must hold a 2nd level Master of Science (120 ECTS + 180 ECTS in a bachelor degree) or equivalent degree in Engineering or in fields closely related to the project’s subject matter.
• Candidates who are not in possession of the required qualification at the call closing date may apply but
the academic qualifications must be awarded before enrollment.
• The final score obtained for the Master degree must not be lower than C+ in ECTS grading system
• The candidates must 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 beneficiary (ZAG institute, Slovenia) for more than 12 months in the 36 months immediately before their recruitment date.
• Certified knowledge of English is required if not native speakers.