Hachem Dhouib

Multiphysics Modelling and Numerical Simulation Engineer-PhD

Salaire / Taux journalier

Paris, France

Freelance, ouvert au CDI

Expertises

PythonGitGitHubMachine LearningMATLAB

À propos

Introduction

Engineer-PhD with 4 years of experience in mathematical modeling, numerical simulation, and development of scientific tools for industry and R&D. Specialist in fluid dynamics, aerospace engineering, and multidisciplinary modeling. Strong skills in Python, Git, and technical project management.

Liens

Expérience de travail

Airbus

juil. 2024 - Présent

2 ans 4 mois

Aircraft Performance Engineer

oct. 2024 - Présent

2 ans 1 mois

- Develop a simulation tool to assess overall aircraft performance across various operational scenarios, with a focus on high-speed performance. - Integrate new applications into a dedicated Python library to streamline the analysis of high-speed performance scenarios for different aircraft types.

Environmental Impact Simulation Engineer

juil. 2024 - Présent

2 ans 4 mois

- Design and develop a computational tool for estimating atmospheric emissions (gaseous species and non-volatile particles) generated by air traffic, based on the Boeing Fuel Flow Method 2. - Calculate emissions for all flights operated during the current year, as well as for projected fleets in future scenarios, including engines using hydrogen combustion or fuel cells.

Multiphysics modelling, Numerical simulation, and Optimization Consultant

Capgemini Engineering

mars 2024 - Présent

2 ans 8 mois

Engaged in client projects and high-impact research and innovation initiatives with strong technological focus: - Automated Model-Based Systems Engineering (MBSE): Developed a streamlined digital workflow that ensures seamless integration from high-level system requirements to Multidisciplinary Design Analysis and Optimization (MDAO) processes, enhancing efficiency and traceability across design stages. - Overall Aircraft Design (OAD) with SoSTrades: Applied the SoSTrades cloud-based simulation platform to manage and explore complex aircraft design scenarios, fostering collaboration and optimizing system-of-systems performance.

Mathematics Teacher

Acadomia

déc. 2023 - Présent

2 ans 11 mois

Remote, Oregon 97458, États-Unis

Skills: Pedagogy · Teaching

University Lecturer

Faculté des Sciences - Université Paris Cité

oct. 2020 - oct. 2023

3 ans 1 mois

Skills: Higher Education Teaching · Guest Lecturing

PHD Researcher

CEA

oct. 2020 - oct. 2023

3 ans 1 mois

91400 Saclay, France

Title: Magneto-gravito-inertial waves in stars and gas giant planets at the time of space missions: from stellar seismology to planetary tidal dissipation My research focuses on the dynamics of astrophysical fluids in stellar and planetary interiors. The main objective of my current research is to build the best ab-initio modelling of waves propagating in stars and planets to provide interpretations (and predictions) of state-of-the art observational constrains on their structure and dynamics. My work thus focuses on asteroseismology, magnetism, and tidal interactions. My skills combine advanced semi-analytical methods, stellar structure and oscillation codes, and numerical simulations of waves propagating in complex internal structures. Main achievements: - Scientific leader of 4 publications in peer-reviewed journal - Second author of 2 publications in peer-reviewed journal - 10 presentations in international and national symposiums - Participation in scientific workshops related to the PLATO (ESA) and Kepler/TESS (NASA) missions Scientific expertise: - Analysis, delineation and resolution of complex problems - Innovative mathematical and physical modeling - Development of multi-physics numerical simulations - Scientific and technical monitoring Project management : - Member of an international team - Manage multiple projects while respecting financial and time constraints - Development of collaborations Communication : - Transmit scientific concepts - Writing of articles, reports and technical notes

Research Intern

CEA

mars 2020 - août 2020

6 mois

91400 Saclay, France

Title: Generalisation of the Traditional Approximation of Rotation (TAR) for rapidly rotating deformed stars and planets I studied gravito-inertial waves (GIWs) including Rossby waves in rapidly and differentially rotating stars and planets. This new formalism allows us to study the detectability and the signature of the centrifugal and the differential rotation effects on GIWs in rapidly rotating deformed stars and planets.

Engineer Intern

Materials Center Leoben Forschungs GmbH

juil. 2019 - août 2019

2 mois

6934 Sulzberg, Autriche

Thermal compact modelling in the field of power electronics using multidimensional and physically-inspired RC-network calculations.

Student Intern

Telnet

juin 2018 - juil. 2018

2 mois

Soliman, Tunisie


Formation

Université Paris Cité

Doctor of Philosophy - PhD, Astronomy and Astrophysics

2020 - 2023

3 ans 1 mois

Skills: Research · Scientific Writing · Fluid Mechanics · Python (Programming Language) · Numerical Analysis · Numerical Simulation · Computational Physics · Fluid Dynamics · Mathematical Modeling · Scientific Computing · Astrophysics · Applied Mathematics

ENSTA

International auditor in the 3rd year of the engineering cycle, Modeling and Simulation

2019 - 2020

1 an 1 mois

Profile: research and innovation International auditor as part of a double degree agreement between ENIT and ENSTA Paris.

Institut Polytechnique de Paris

M2 Analysis, Modeling, Simulation, Field: Modeling, Simulation

2019 - 2020

1 an 1 mois

The M2 "Analysis, Modeling, Simulation" offer a complete training for industry and research, ranging from the most theoretical approaches to concrete developments (modeling and numerical simulations). The implementation and development of numerical approximation methods requires, first and foremost, a good knowledge of mathematical equations (differential equations, partial differential equations) but also the phenomena they account for. Finally, the efficient implementation of the associated approximation algorithms can not be conceived without a solid knowledge of computer science. The field "Modeling, Simulation" (MS) shape a strong competence in applied mathematics and numerical simulation, with a view to professional integration in the field of research or R&D, both academic and industrial.

Ecole Nationale d'Ingénieurs de Tunis

Engineering degree, Modeling for Industry and Services (MIndS), option: Modeling and data science

2017 - 2020

3 ans 1 mois

IPEIT - Institut Préparatoire aux Etudes d'Ingénieurs de Tunis

Mathematics and Physics (MP)

2015 - 2017

2 ans 1 mois


Licences et certifications

Stochastic processes

Délivré le : janv. 2019

Certifié par Coursera

Simulation and modeling of natural processes

Délivré le : oct. 2018

Certifié par Coursera

Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization

Délivré le : juil. 2018

Certifié par Coursera

Neural Networks and Deep Learning

Délivré le : juin 2018

Certifié par Coursera

Machine Learning

Délivré le : mai 2018

Certifié par Coursera

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