20 beste Stellen als python in lausanne, vd – aktuell auf Personalsuche

Post-doc on topology optimization
emploi.epfl.ch —Lausanne, VD
- 100%
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- 100%
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Logitech —Lausanne, VD
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Unit8 SA —Lausanne, VD
- 100%
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Vision Systems Engineer Intern
Flyability —Paudex, VD
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- 100%
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Post-doc on topology optimization

emploi.epfl.ch -
Lausanne, VD

Jetzt bewerben

Details zur Stelle

100% | Befristet

Qualifikationen

Management-Erfahrung
Doktorat
Englisch
Forschungserfahrung
C++
Python

Vollständige Stellenbeschreibung

About us and our project

The Chair of Numerical Modelling and Simulation at EPFL is dedicated to the design and analysis of numerical algorithms for partial differential equations. Our research is oriented towards the development of novel and innovative numerical techniques aiming at improving the integration between numerical simulations and geometric modelling and processing.

Within the project «FLASh: Fast simulation tools for LAttice Structures», funded by the Swiss National Science Foundation, we are opening a postdoctoral position for developing efficient algorithms for the topology optimization of architected materials using finite element technique

What you will do

As a postdoc in our group, you will lead research on the design and implementation of mathematically sound methods for the topology optimization of architected materials, leveraging fast simulation techniques such as unfitted finite element methods, domain decomposition, reduced order modeling, or isogeometric analysis. You will work in a dynamic and collaborative environment, contributing to both the theoretical development and the software implementation of these methods. More specifically:

Lead and contribute to research projects in the broad areas of numerical simulation and topology optimization, within FLASh and related initiatives
Develop, implement, and maintain in-house simulation and topology optimization software
Analyze, interpret, and publish results in leading international journals
Present your work at national and international conferences and build a strong network in the field
Mentor and co-supervise PhD and Master students
Contribute to teaching activities within the group
Assist in the preparation of grant proposals and project reports

You are the ideal candidate if

You hold a PhD (or are nearing completion of one) in mathematics, computational mechanics, engineering, or a related field
You have a strong background in topology optimization, ideally with experience in density-based methods (SIMP), level set approaches, or related design-for-manufacturing frameworks
You have research experience in numerical methods for PDEs: finite element methods, immersed/unfitted methods, homogenization, or isogeometric analysis are particularly relevant
You are proficient in Python; prior experience with the FEniCS library is a plus; C++ knowledge is an additional asset
You have strong computational skills, including the implementation of simulation and optimization pipelines; experience with HPC or large-scale scientific computing is a plus
You have a publication record (relative to your career stage) in internationally leading journals in computational mechanics, applied mathematics, or related areas
You are passionate about mathematics and scientific computing, and motivated by challenging problems
You are independent, creative, and solution-oriented, with strong self-management skills and the ability to drive research forward with limited supervision
You think critically and are eager to work at the interface of numerical simulation and structural design for lattice/metamaterial architectures
You communicate excellently in written and oral English
You are a team player, open to interdisciplinary collaboration

We offer

A stimulating and international working environment located in beautiful Switzerland
Competitive salary and excellent working conditions. More information can be found on our website
Opportunity to perform state-of-the-art research in one of the most dynamic scientific institutions in Europe.
Opportunity to interact with internationally renowned experts, and with a strong team of postdoctoral researchers and PhD students
Friendly and supportive team culture
A 1+1 years contract

If you are interested

Only applications submitted through the online platform are considered. You are asked to supply:

A brief cover letter (pdf, up to 2 pages).
A CV with a publication list.
Contact details for 2 referees.

For any further information, please contact: pablo.antolin AT epfl.ch

Starting date: September 1st 2026 (flexible)

Activity Rate: 100%

Duration: 1+1 years

Jetzt bewerben

Erweiterte Suche

python Jobs in lausanne, vd

Post-doc on topology optimization

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Ich möchte aktuelle Job-E-Mails für Stellen als python in lausanne, vd erhalten

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