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PhD
Supervision: Dr. Demián García-Violini
Supervision: Dr. Demián García-Violini
Co-supervisions and national and international collaborations
Co-supervisions and national and international collaborations
Doctoral research oriented towards:
Advanced control
Integrated design
Numerical simulation
Focus on:
Wave energy
Complex dynamical systems
Automatic Control
Estimation and Prediction
Dynamical Systems
Are you interested in applying?
If you are interested in any of these doctoral opportunities or would like further information, please do not hesitate to get in touch, indicating:
The doctoral project of interest
an up-to-date CV (PDF)
a brief statement of motivation
your academic background and relevant experience
Dr. Demián García-Violini - https://demiangarciaviolini.com.ar/
📧 E-mail: ddgv83@gmail.com
Proposed doctoral research lines
Under the supervision of Dr. Demián García-Violini, three doctoral opportunities are currently available in cutting-edge areas integrating automatic control, dynamical modelling, optimisation and machine learning, with applications in neuroscience and marine energy, particularly in processes dominated by oscillatory dynamics.
Each research plan proposes a complete doctoral thesis plan, with a strong methodological focus, validation through advanced simulation, and collaboration with leading international research groups.
The available research plans are briefly described below.
This doctoral project lies at the intersection of control engineering and experimental neurophysiology, with the aim of developing strategies for modelling, identification and control of neuronal activity in living biological systems. The research explicitly addresses the constraints and challenges inherent to real experimental environments, incorporating uncertainty, noise and biological variability.
The focus of the project is on optogenetics as the actuation channel, exploring control schemes across different levels of neurobiological complexity (from simplified models to more realistic experimental configurations). The plan combines theoretical foundations in control with a perspective oriented towards progressive implementation and validation.
This doctoral project lies at the intersection of control engineering and experimental neurophysiology, with the aim of developing strategies for the modelling, identification and control of neuronal activity in living biological systems. The research explicitly addresses the constraints and challenges inherent to real experimental environments, incorporating uncertainty, noise and biological variability.
Supervisors:
Supervisor: Dr. Demián García-Violini
Co-supervisor: Dr. Ricardo S. Sánchez-Peña, PhD
References:
This doctoral project focuses on the development of advanced methodologies for the estimation and prediction of key variables in wave energy converters (WECs), such as wave elevation and excitation force. The research addresses the stochastic and non-stationary nature of ocean waves, with particular emphasis on their integration into predictive control strategies aimed at maximising energy capture.
Modern neural network architectures (such as GRUs and Transformers) and hybrid physics-informed models (for example, PINNs) are explored, assessing their accuracy, robustness and computational feasibility. The models are integrated directly into predictive control algorithms, such as MPC and spectral- or moment-based methods, so that prediction becomes an active component of real-time control.
The project builds upon the established track record of the research group, including work on excitation force estimation, probabilistic forecasting and optimal control of WECs, as well as international collaborations with the Centre for Ocean Energy Research (COER, Ireland) and Mondragon University.
Supervisors:
Supervisor: Dr. Demián García-Violini
Co-supervisor: Dr. Ignacio Mas
References:
3. Control and optimisation of wave energy converters with active PTO rectification through CFD simulation [ESP].
3. Control and optimisation of wave energy converters with active PTO rectification through CFD simulation [ESP].
This project proposes the development of an integrated methodological framework for control of wave energy converters, combining high-fidelity hydrodynamic models based on CFD with advanced strategies for the design and control of the power take-off (PTO) system, with particular emphasis on active/passive mechanical rectification.
The research aims to bridge the gap between detailed hydrodynamic models and control strategies through the generation of parametrised reduced-order models, optimisation techniques and systematic evaluation under realistic sea-state conditions. The project is conducted within a strong international collaborative framework and has a clear orientation towards real-world applications.
The control approach enables the joint analysis of PTO design and control strategies, examining the impact of active/´passive rectification and fluid–structure interaction on energy capture and operational robustness. This makes it possible to identify key trade-offs between energetic performance, system complexity and computational feasibility.
Supervisors:
Supervisor: Dr. Demián García-Violini
Co-Supervisor: Dr. Alejandro Otero
References:
Are you interested in applying?
If you are interested in any of these doctoral opportunities or would like further information, please do not hesitate to get in touch, indicating:
The doctoral project of interest
an up-to-date CV (PDF)
a brief statement of motivation
your academic background and relevant experience
Dr. Demián García-Violini - https://demiangarciaviolini.com.ar/
📧 E-mail: ddgv83@gmail.com
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