Virtualized Aging Tests Of Injection-Molded Thermoplastic Parts

Universities and Institutes of France
December 21, 2023
Offerd Salary:Negotiation
Working address:N/A
Contract Type:Other
Working Time:Full time
Working type:N/A
Ref info:N/A

28 Oct 2023

Job Information


Ecole Nationale Supérieure des Arts et Métiers (ENSAM) Paris

Research Field


Technology » Materials technology

Computer science » Digital systems

Researcher Profile

Recognised Researcher (R2)

Leading Researcher (R4)

First Stage Researcher (R1)

Established Researcher (R3)



Application Deadline

21 Dec 2023 - 22:00 (UTC)

Type of Contract


Job Status


Is the job funded through the EU Research Framework Programme?

Not funded by an EU programme

Is the Job related to staff position within a Research Infrastructure?


Offer Description

Main goal in this PhD thesis is to develop a virtual design method for injection-molded thermoplastic parts by coupling mechanistic aging models to mechanical constitutive equations, enabling the virtualization of aging tests at the component level.

You will identify pertinent aging models based on kinetic and diffusion laws.

Furthermore, you will describe the evolution of relevant polymer descriptors as a function of different aging parameters as for example the temperature or the concentration of the aging agent.

You will supplement and validate your findings by targeted experiments.

Finally, you will link the mechanistic aging models to the mechanical constitutive equations and validate your approach on component level by simulation and actual aging tests.

Funding category: Autre financement privé Robert Bosch GmbH PHD title: Doctorat Mécanique et Matériaux PHD Country: France


Specific Requirements

Education: excellent degree in Mechanical/Aeronautical/Civil Engineering, Material Science, Physics, Applied Mathematics, or similar

Experience and Knowledge: in depth knowledge of continuum mechanics and the Finite Element Method, as well as in material modeling of polymers and scientific programming languages as Python, Matlab or similar, knowledge of thermoplastic polymer physics is advantageous

Personality and Working Practice: work efficiently in a research team of simulation, material, and testing experts to accomplish highly relevant scientific results, strong interest and pleasure for analytical and experimental research activities in the fields of material modeling and polymer engineering

Qualification: committed appearance, goal orientation and highly motivated to work in a team

Languages: German and English written and spoken

Additional Information Work Location(s)

Number of offers available



Ecole Nationale Supérieure des Arts et Métiers (ENSAM) Paris




Where to apply


https: // www.


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