Posted 13 August, 2026
UCD Post-doctoral Research Fellow Level 1, UCD School of Computer Science, Temporary 6 months
University College Dublin
Dublin, Dublin, Ireland
Temporary
Reference: 353154547
UCD Post-doctoral Research Fellow Level 1, UCD School of Computer Science, Temporary 6 months
Applications are invited for a temporary post of a UCD Post-doctoral Research Fellow Level 1 within UCD School of Computer Science.
HD maps (High Definition Maps) offer detailed, up-to-date information about the surrounding environment, enabling advanced safety and navigation capabilities, particularly for vehicles in autonomous or semi-autonomous driving modes. HD maps are crucial for highly automated driving (HAD), providing high-precision features like traffic signs and lane boundaries that demand submeter absolute accuracies. Typically, specialized mapping vehicles, equipped with advanced sensors such as 3D laser range finders, high accuracy GNSS receivers, and premium inertial sensors, are employed for HD map creation. However, due to their high cost, access to these vehicles is limited.
The main three tasks of this project focus on Cooperative Data Collection, Federated Data Analytics, and Dynamic Task Orchestration. These tasks entail the integration of specific AI algorithms to enable efficient and collaborative data gathering processes. In Cooperative Data Collection, techniques such as distributed task allocation algorithms, can be employed to allocate data collection tasks among vehicles or agents efficiently. Federated Data Analytics can leverage federated learning algorithms, including Federated Averaging and Federated Proximal methods, to collaboratively train machine learning models across distributed agents while preserving data privacy. Dynamic Task Orchestration involves the use of reinforcement learning algorithms, such as Deep Q-Networks (DQN) or Proximal Policy Optimization (PPO), to dynamically allocate tasks and optimize agent behaviours based on real-time environmental changes. In this project, the system will be built as Multi-agent Systems (MAS) to represent real-world characteristics, such as autonomy at the vehicle level and cooperation capabilities in Connected Autonomous Vehicles (CAVs). The vehicles or agents within the MAS will employ reasoning mechanisms, such as Bayesian inference or logical reasoning, to identify changes in the environment and coordinate their behaviour (e.g., speed, acceleration, and positioning) accordingly to capture the necessary data for updating the High Definition (HD) maps.
PD1 Salary Range: €47,273 - €52,513 Per Annum
Appointment on the above range will be dependent upon qualifications and experience.
Closing date: 12:00 noon (local Irish time) on 17 August 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.
Applications are invited for a temporary post of a UCD Post-doctoral Research Fellow Level 1 within UCD School of Computer Science.
HD maps (High Definition Maps) offer detailed, up-to-date information about the surrounding environment, enabling advanced safety and navigation capabilities, particularly for vehicles in autonomous or semi-autonomous driving modes. HD maps are crucial for highly automated driving (HAD), providing high-precision features like traffic signs and lane boundaries that demand submeter absolute accuracies. Typically, specialized mapping vehicles, equipped with advanced sensors such as 3D laser range finders, high accuracy GNSS receivers, and premium inertial sensors, are employed for HD map creation. However, due to their high cost, access to these vehicles is limited.
The main three tasks of this project focus on Cooperative Data Collection, Federated Data Analytics, and Dynamic Task Orchestration. These tasks entail the integration of specific AI algorithms to enable efficient and collaborative data gathering processes. In Cooperative Data Collection, techniques such as distributed task allocation algorithms, can be employed to allocate data collection tasks among vehicles or agents efficiently. Federated Data Analytics can leverage federated learning algorithms, including Federated Averaging and Federated Proximal methods, to collaboratively train machine learning models across distributed agents while preserving data privacy. Dynamic Task Orchestration involves the use of reinforcement learning algorithms, such as Deep Q-Networks (DQN) or Proximal Policy Optimization (PPO), to dynamically allocate tasks and optimize agent behaviours based on real-time environmental changes. In this project, the system will be built as Multi-agent Systems (MAS) to represent real-world characteristics, such as autonomy at the vehicle level and cooperation capabilities in Connected Autonomous Vehicles (CAVs). The vehicles or agents within the MAS will employ reasoning mechanisms, such as Bayesian inference or logical reasoning, to identify changes in the environment and coordinate their behaviour (e.g., speed, acceleration, and positioning) accordingly to capture the necessary data for updating the High Definition (HD) maps.
PD1 Salary Range: €47,273 - €52,513 Per Annum
Appointment on the above range will be dependent upon qualifications and experience.
Closing date: 12:00 noon (local Irish time) on 17 August 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.
