Marie Curie Doctoral position at: National Technical University of Athens (Greece) and ESI Group – Paris (France)
“ESR04 – HiFi flow solvers for fixed walls, running on GPUs, and ROMs for aneurysm studies” (28/01/2020)
Keywords: Computational Fluid Dynamics, Reduced Order Models, GPUs, Parallel Computing, Computational Structural Mechanics.
General framework: 14 Early Stage Researchers (ESRs) will be offered doctoral positions as part of the MeDiTATe project, which is funded through the H2020 program: Marie SkłodowskaCurie Actions (MSCA) Innovative Training Networks – European Industrial Doctorate. The whole MeDiTATe project aims to develop state-of-the-art image based medical Digital Twins of cardiovascular districts for a patient specific prevention and treatment of aneurysms. The individual research projects of each ESR within MeDiTATe are defined across five research tracks: (1) High fidelity CAE multi-physics simulation with RBF mesh morphing; (2) Real time interaction with the digital twin by Augmented Reality, Haptic Devices and Reduced Order Models; (3) HPC tools, including GPUs, and cloud-based paradigms for fast and automated CAE processing of clinical database; (4) Big Data management for population of patients imaging data and high fidelity CAE twins; (5) Additive Manufacturing of physical mock-up for surgical planning and training to gain a comprehensive Industry 4.0 approach in a clinical scenario.
The work of each ESR, hired for two 18 months periods (industry + research) and enrolled in a PhD programme, will be driven by the multi-disciplinary and multi-sectoral needs of a multidisciplinary research consortium (clinical, academic and industrial) which will offer the expertise of Participants to provide scientific support, secondments and training. Recruited researchers will become active players of a strategic sector of the European medical and simulation industry and will face the industrial and research challenges daily faced by clinical experts, engineering analysts and simulation software technology developers. During their postgraduate studies they will be trained by the whole consortium receiving a flexible and competitive skill-set designed to address a career at the cutting edge of technological innovation in healthcare. The main objective of MeDiTATe is the production of high-level scientists with a strong experience of integration across academic, industrial and clinical areas, able to apply their skills to real life scenarios and capable to introduce advanced and innovative digital twin concepts in the clinic and healthcare sectors.
Candidate profile: Candidates with background in Computational Structural Mechanics, Fluid-Structure Interaction (primarily) and Computational Fluid Dynamics (secondarily) background should apply for this position. Good programming skills (FORTRAN, C++, Python and optionally CUDA) are needed. Some background in Artificial/Computational Intelligence, and Big Data is welcome. Motivation and interest in Structural Mechanics, Multi-physics, Machine Learning and Biomedical engineering is preferable. Excellent knowledge of written and spoken English is required.
How to apply: Send CV, cover letter, BSc and MSc degrees, and letters of recommendation to all the following recipients: kgianna@mail.ntua.gr and aka@esi-group.com.
Marie Curie Doctoral position at: ESI Group – Paris (France) and National Technical University of Athens (Greece)
“ESR05 – HiFi flow solvers for flexible walls, running on GPUs, and Big Data Analysis for aneurysm studies” (28/01/2020)
Keywords: Computational Structural Mechanics, Computational Fluid Dynamics, FluidStructure Interaction, Big Data, Deep Neural Networks, GPUs.
General framework: 14 Early Stage Researchers (ESRs) will be offered doctoral positions as part of the MeDiTATe project, which is funded through the H2020 program: Marie SkłodowskaCurie Actions (MSCA) Innovative Training Networks – European Industrial Doctorate. The whole MeDiTATe project aims to develop state-of-the-art image based medical Digital Twins of cardiovascular districts for a patient specific prevention and treatment of aneurysms. The individual research projects of each ESR within MeDiTATe are defined across five research tracks: (1) High fidelity CAE multi-physics simulation with RBF mesh morphing; (2) Real time interaction with the digital twin by Augmented Reality, Haptic Devices and Reduced Order Models; (3) HPC tools, including GPUs, and cloud-based paradigms for fast and automated CAE processing of clinical database; (4) Big Data management for population of patients imaging data and high fidelity CAE twins; (5) Additive Manufacturing of physical mock-up for surgical planning and training to gain a comprehensive Industry 4.0 approach in a clinical scenario.
The work of each ESR, hired for two 18 months periods (industry + research) and enrolled in a PhD programme, will be driven by the multi-disciplinary and multi-sectoral needs of a multidisciplinary research consortium (clinical, academic and industrial) which will offer the expertise of Participants to provide scientific support, secondments and training. Recruited researchers will become active players of a strategic sector of the European medical and simulation industry and will face the industrial and research challenges daily faced by clinical experts, engineering analysts and simulation software technology developers. During their postgraduate studies they will be trained by the whole consortium receiving a flexible and competitive skill-set designed to address a career at the cutting edge of technological innovation in healthcare. The main objective of MeDiTATe is the production of high-level scientists with a strong experience of integration across academic, industrial and clinical areas, able to apply their skills to real life scenarios and capable to introduce advanced and innovative digital twin concepts in the clinic and healthcare sectors.
Candidate profile: Candidates with background in Fluid Mechanics, Computational Fluid Mechanics (primarily) and Computational Structural Mechanics (secondarily) background should apply for this position. Good programming skills (FORTRAN, C++, Python and optionally CUDA) are needed. Some background in Artificial/Computational Intelligence techniques is welcome. Motivation and interest in Fluid Mechanics, Multi-physics, Biomedical engineering and Artificial Intelligence is preferable. Excellent knowledge of written and spoken English is required.
How to apply: Send CV, cover letter, BSc and MSc degrees, and letters of recommendation to all the following recipients: aka@esi-group.com and kgianna@mail.ntua.gr.