Posted 26 August, 2026
UCD Post-doctoral Research Fellow Level 1 or 2, School of Civil Engineering, Temporary 24 months post
University College Dublin
Dublin, Dublin, Ireland
Temporary
Reference: 1992869171
UCD Post-doctoral Research Fellow Level 1 or 2, School of Civil Engineering, Temporary 24 months post
Applications are invited for a temporary post of a UCD Post-doctoral Research Fellow Level 1 or 2 within the School of Civil Engineering
NETSENS will develop the next-generation concept of indirect monitoring of bridge networks - using the acceleration responses collected by sensors installed on moving vehicles. It will develop robust drive-by bridge damage detection methods by overcoming the interference from environmental and operational variables using the concept of cointegration. In addition, Deep Convolutional Generative Adversarial Networks will be developed to generate labelled datasets for drive-by bridge damage detection, when only drive-by data for the healthy state are available. NETSENS will also develop the first population-based drive-by bridge monitoring method. Instead of collecting the training data from a single bridge, data from a population of bridges will be collected. A novel drive-by bridge damage classification method will be developed using the concept of physics-guided deep neural networks. For this purpose, a novel cross physics-data domain loss function will be created which will fuse labelled features obtained from numerical models and the measured responses. Finally, a network-level bridge diagnostic algorithm will be developed using the concept of domain adaptation. This will include a generalized drive-by bridge damage classification method, where the labelled data from a bridge is leveraged to detect new instances of damage in other bridges of the network.
PD1 Salary Range: €47,273 - €53,925 per annum
Appointment on the above range will be dependent upon qualifications and experience.
PD2 Fixed Salary: €55,399 per annum
Closing date: 12:00 noon (local Irish time) on 7 September 2026
Applications must be submitted by the closing date and time specified. Any applications which are still in progress at the closing time of 12:00 noon (Local Irish Time) on the specified closing date will be cancelled automatically by the system. UCD are unable to accept late applications.
UCD do not require assistance from Recruitment Agencies. Any CV's submitted by Recruitment Agencies will be returned.
The PD1 position is intended for early stage researchers, either just after completion of a PhD or for someone entering a new area for the first time. If you have already completed your PD1 stage in UCD or will soon complete a PD1, or you are an external applicant whose total Postdoctoral experience, inclusive of the duration of the advertised post, would exceed 4 years, you should not apply and should refer to PD2 posts instead.
The PD2 post is intended for researchers that have completed PD1. As with the PD1, if you have already completed your PD2 stage in UCD or will soon complete a PD2, or your total Postdoctoral experience, inclusive of the duration of the advertised post, would exceed 6 years, you should not apply and should refer to Research Fellow posts instead.
Applications are invited for a temporary post of a UCD Post-doctoral Research Fellow Level 1 or 2 within the School of Civil Engineering
NETSENS will develop the next-generation concept of indirect monitoring of bridge networks - using the acceleration responses collected by sensors installed on moving vehicles. It will develop robust drive-by bridge damage detection methods by overcoming the interference from environmental and operational variables using the concept of cointegration. In addition, Deep Convolutional Generative Adversarial Networks will be developed to generate labelled datasets for drive-by bridge damage detection, when only drive-by data for the healthy state are available. NETSENS will also develop the first population-based drive-by bridge monitoring method. Instead of collecting the training data from a single bridge, data from a population of bridges will be collected. A novel drive-by bridge damage classification method will be developed using the concept of physics-guided deep neural networks. For this purpose, a novel cross physics-data domain loss function will be created which will fuse labelled features obtained from numerical models and the measured responses. Finally, a network-level bridge diagnostic algorithm will be developed using the concept of domain adaptation. This will include a generalized drive-by bridge damage classification method, where the labelled data from a bridge is leveraged to detect new instances of damage in other bridges of the network.
PD1 Salary Range: €47,273 - €53,925 per annum
Appointment on the above range will be dependent upon qualifications and experience.
PD2 Fixed Salary: €55,399 per annum
Closing date: 12:00 noon (local Irish time) on 7 September 2026
Applications must be submitted by the closing date and time specified. Any applications which are still in progress at the closing time of 12:00 noon (Local Irish Time) on the specified closing date will be cancelled automatically by the system. UCD are unable to accept late applications.
UCD do not require assistance from Recruitment Agencies. Any CV's submitted by Recruitment Agencies will be returned.
The PD1 position is intended for early stage researchers, either just after completion of a PhD or for someone entering a new area for the first time. If you have already completed your PD1 stage in UCD or will soon complete a PD1, or you are an external applicant whose total Postdoctoral experience, inclusive of the duration of the advertised post, would exceed 4 years, you should not apply and should refer to PD2 posts instead.
The PD2 post is intended for researchers that have completed PD1. As with the PD1, if you have already completed your PD2 stage in UCD or will soon complete a PD2, or your total Postdoctoral experience, inclusive of the duration of the advertised post, would exceed 6 years, you should not apply and should refer to Research Fellow posts instead.
