Your Twin learns with you

30% off annual Pro20% off monthly Pro

Ends in00h00m00s

Publisher
source

Inria

Just Landed

Postdoc in Optimisation under Uncertainty for Nonlinear Structural Dynamics Inria in France

Degree Level

Postdoc

Field of study

Mechanical Engineering

Funding

Available

Deadline

Dec 31, 2026

Country flag

Country

France

University

Inria

Apply for this position

Keywords

Mechanical Engineering
Mathematics
Computational Science
Uncertainty Analysis
Surrogate Modeling
Applied Mathematic
Structural Dynamic

Suggested positions

Publisher
source

CEA Saclay

Country flag

France

Inria Saclay is advertising a postdoctoral research visit in robust optimisation of bifurcation diagrams for flutter design . The project sits at the intersection of mechanical engineering , applied mathematics , non-linear dynamics , uncertainty quantification , robust optimisation , and aeroelasticity , with a strong computational and modelling component. The postdoc will work in the PLATON project-team at Inria Saclay , in collaboration with Center for Applied Mathematics (CMAP), École Polyte...

Computer Science
Mechanical Engineering
Aerospace Engineering
+9 more

1 month ago

Publisher
source

École nationale des ponts et chaussées

Country flag

France

Fully funded opportunity in physics-constrained generative AI modelling at École Nationale des Ponts et Chaussées (ENPC) and Université Paris-Saclay , France, with work in CEREA, ENPC / Institut Polytechnique de Paris in collaboration with LISN (ANR MilaDy Project). This post advertises a Master’s internship and a PhD position for candidates interested in computer science , physics , applied mathematics , and related areas. The research focus is on generative AI , machine learning , physical mod...

Computer Science
Mechanical Engineering
Mathematics
+5 more

2 weeks ago

Publisher
source

BRGM

Country flag

France

BRGM is recruiting a postdoctoral researcher in machine learning for mineral particle fragmentation and comminution. The position is part of the PEPR Sous-sol, bien commun program and the InnovTech project, which brings together eight French research institutions to advance sustainable mineral-resource processing through artificial intelligence and machine learning. The researcher will contribute to Sub-Task ST3.1.1, focused on connecting elementary ore-fragmentation properties with the performa...

Computer Science
Geology
Materials Science
+12 more

1 week ago

Publisher
source

Christopher Nahed

French Alternative Energies and Atomic Energy Commission

Country flag

France

This fully funded PhD opportunity at the French Alternative Energies and Atomic Energy Commission (CEA) focuses on multiphysics simulation, applied mathematics, numerical analysis, and scientific computing. The research is situated within CEA’s nuclear engineering and fuel physics applications, with supervision based at CEA Saclay and CEA Cadarache. The doctoral researcher will develop a generic, scalable, and dynamic algorithm for multiphysics coupling. The goal is to detect the interaction str...

Computer Science
Mathematics
Nuclear Engineering
+7 more

3 days ago

Publisher
source

CNRS

Country flag

France

This postdoctoral position at the Centre national de la recherche scientifique (CNRS) in Talence, France, is focused on developing an innovative microfluidic platform for characterizing complex suspensions through light absorption . The successful candidate will contribute to the full technical build-up of the system, including integrating a robotic arm mounted on a 3D-printer support for solution handling, assembling the microfluidic channels and pressure controller, and installing optical dete...

Computer Science
Mechanical Engineering
Mathematics
+7 more

4 days ago

About this position

This postdoctoral project focuses on robust optimisation for nonlinear structural dynamics, with a particular emphasis on how uncertainty affects bifurcation behaviour in mechanical systems. The work addresses a challenging class of problems where nonlinearities can create softening or stiffening resonance peaks, multiple dynamic solutions, and bifurcations that define stability limits in parameter space.

The research is motivated by real engineering applications such as HALE/HAPS drones and aeroelastic flutter mitigation. In these systems, uncertainty in aerodynamic properties, structural mechanical characteristics, and operating conditions can significantly alter the onset of instability and the reliability of predicted designs. The postdoc will aim to develop methods that can better capture and manage these effects in optimisation workflows.

The successful candidate will work on three linked research directions: uncertainty propagation for bifurcation behaviour in stochastic nonlinear dynamic systems, robust optimisation methods for bifurcation diagrams, and approaches suitable for a realistic flutter-mitigation case study involving a HALE drone. Because the bifurcation and uncertainty propagation computations are expected to be expensive, the project will also investigate surrogate-based strategies to reduce numerical cost.

The postdoc will numerically implement, test, and compare the proposed approaches. The work is embedded in the Platon team, a joint research group between École Polytechnique and CNRS hosted by the Center for Applied Mathematics (CMAP) of École Polytechnique. The team works on uncertainty management in numerical models and advanced calibration from data, placing the project in a research environment focused on modelling, uncertainty reduction, and computational methods for engineering applications.

Supervision is provided by Enora Denimal Goy, P. M. Congedo, and B. Chouvion, who contributes expertise in flutter calculation and nonlinear aeroelastic structural modelling.

Funding details

Available

What's required

Candidates must hold a PhD in mechanical engineering, applied mathematics or a related discipline, with background in at least one of the following: non-linear dynamics, uncertainty quantification, robust optimisation or related fields. Candidates must be proficient in scientific computing. Applicants should submit a detailed academic CV with history of scientific production, evaluation documents of their PhD if available, and a cover letter detailing the knowledge, skills and experience that make them suitable for the job.

How to apply

Apply by emailing the required documents to [email protected]. Include a detailed academic CV, PhD evaluation documents if available, and a cover letter. Use the contact emails provided for further information if needed.

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts and confirm requirements with the university.