贝尔法斯特女王大学PhD position in Machine Learning & Monitoring申请条件要求-申请方
主办方
贝尔法斯特女王大学
PhD直招介绍
About the Project
This PhD project is a fully funded collaborative research through the European Marie Skłodowska-Curie Doctoral Network called DIAMOND. The PhD project is led by Dr Madjid Karimirad from Queen’s University Belfast (UK) and co-supervised by Dr Vikram Pakrashi from University College Dublin (Ireland). We are looking for an excellent PhD candidate with a background in both numerical and experimental hydrodynamic assessment and analysis of offshore and marine structures.
Floating solar systems are an emerging renewable energy technology whose long-term performance depends on effective structural health monitoring and maintenance. This project will use measured acceleration responses together with wave and wind data, supported by data-driven methods and engineering models, to assess fatigue behaviour and predict the durability of floating solar components, including moorings, joints, panels, and support structures. The research will involve wave and wind tank testing, hydrodynamic analysis, and numerical simulations to improve the reliability and service-life assessment of floating solar arrays.
Objectives (Ob):
Ob1. Numerical models for arrays will calculate fatigue damage and develop a correlation matrix of fatigue and accelerations in different components.
Ob2. Machine learning (ML) will train the framework, having the accelerations and knowing the correlation of the accelerations with fatigue.
Ob3. Live, location-specific fatigue estimates for several floating solar array configurations will be developed, considering metocean data.
Ob4. The idea will be validated by wave tank testing.
Expected Results (R):
Overall: Novel ML-driven framework for safe and serviceable life derisking floating solar farms.
R1. Correlation of fatigue with monitored acceleration responses via hydrodynamic models
R2. A robust ML framework based on the correlation of measured variables and feature engineering.
R3. Real-time fatigue estimates of floating solar arrays from wave/wind and acceleration measurements.
R4. Verification & validation repository and tank testing protocols.
References
Emami, A., & Karimirad, M. (2025). Further development of offshore floating solar and its design requirements. Marine Structures, 100, Article 103730. https://doi.org/10.1016/j.marstruc.2024.103730
Campbell, M., Karimirad, M., Minh Nhat, N., Van, M., & Pakrashi, V. Predicting floating photovoltaic platform multi-variable dynamic responses with neural network learning methods. In Proceedings of the ASME 2025 44th International Conference on Ocean, Offshore and Arctic Engineering OMAE2025 (Proceedings of the International Conference on Ocean, Offshore and Arctic Engineering - OMAE ). American Society of Mechanical Engineers (ASME).
Baruah, G., Karimirad, M., Abbasnia, A., MacKinnon, P., Friel, D., & Sarmah, N. (2024). Nonlinear hydrodynamic assessment of a floating solar double-hull substructure using viscous numerical wave tank. Ocean Engineering, 312(Part 2), Article 119045. https://doi.org/10.1016/j.oceaneng.2024.119045
贝尔法斯特女王大学 PhD position in Machine Learning & Monitoring项目有没有奖学金，是不是全奖Phd招生，下面我们一起看一下【大学名称】Phd的奖学金资助情况
项目资助情况
Funding Notes
This studentship is funded by Marie Skłodowska-Curie Actions European Doctoral Networks. It is open to International and European candidates. The value of an award includes the cost of approved fees as well as maintenance support (stipend).
MCSA Contribution to the Project for Recruited Researchers over 36 months:
Living Allowance: €204,558.12
Mobility Allowance: €25,560.00
Family Allowance: (where relevant) €17,820.00
This position and related financial contributions is subject to the commencement of the project and agreement signed.
*** ELIGIBILITY ***
Researchers funded by this Doctoral Network:
must not have a doctoral degree at the date of their recruitment
can be of any nationality
will be enrolled at QUB
should comply with the mobility rules: in general, they must not have resided or carried out their main activity (work, studies, etc.) in the country of the recruiting organisation for more than 12 months in the 36 months immediately before their recruitment date
must agree to carry out any planned secondments / training / research visits specified in the project
*** ANTICIPATED START DATE ***
1 November 2026.
贝尔法斯特女王大学Phd申请条件和要求都有哪些？PhD position in Machine Learning & Monitoring项目是不是全奖？有没有奖学金？下面我们一起看一下贝尔法斯特女王大学申请Phd直招需要具备哪些条件和要求，以及托福、雅思语言成绩要到多少才能申请。
申请要求
ESSENTIAL BACKGROUND OF CANDIDATES
Minimum of a strong upper second class (2.1) honours degree (completed or in the final stages of completion) in Civil Engineering, Environmental Engineering, Mechanical Engineering, Ocean, Coastal and Marine Engineering or Offshore Renewable Energy.
报名方式
招生人信息
Dr M Karimirad, Assoc Prof VP Pakrashi
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