Postdoctoral fellowships

    Information on postdoctoral stays at CEMEF

    Every year, CEMEF offers post-doctoral opportunities on complex physical and digital themes in its research areas. Generally speaking, post-doctoral projects meet a specific objective. Indeed, they may aim to deepen knowledge and techniques mastered in an industrial context.  Or, they may focus on a more exploratory upstream theme. In any case, there is a great diversity in our post-doctoral proposals. This diversity stems in fact from the scientific multidisciplinarity of the centre's research teams.

    If you have defended your thesis and you wish to pursue it in an academic organization, it is undeniable that a post-doctoral project will enrich your scientific experience.

    Element de batiment CEMEF

    Doing your postdoc at CEMEF

    Recruitment is open to doctors. Usually the proposed projects have a duration of one year.

    Doing your post-doctorate at CEMEF means first of all that you will be joining one of CEMEF's research teams. You will be involved in the life of the team. But you will also have complete autonomy to manage the research associated with your subject. We will provide you with the computer and material resources you need to complete your project.

    You will also have the opportunity to publish and take part in conferences.

    Finally, you will receive a gross annual salary of approximately 36k€.

    Postdoctoral application

    Recruitment is open all year round depending on the projects to be filled. To apply, submit your application via the online form.

    Non-discrimination, inclusiveness and transparency
    Mines Paris-PSL CEMEF is fully engaged in supporting and promoting equality, diversity and inclusion within its centre. We encourage applications from a variety of backgrounds, which we will ensure are selected through an open and transparent recruitment process.

    Post-doctoral recruitment

    Here is the list of projects currently available:

    (last update: 13/09/2024)

    Deep learning for the modelling of thermodynamic coupling in additive manufacturing
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    Influence of recycled contaminated PET resins on bottle blowing process
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    Bridging scales in Titanium alloys.
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    IA / TRIBOLOGIE : Contribution of Artificial Intelligence and Machine Learning Tools in the Selection of Tribological Coatings for E-Mobility
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    2-scale modeling of mixed / boundary lubrication in aluminum alloys hot strip rolling
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    Optimization of fan leading edge manufacturing
    process

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    Shaping natural fibers using conventional plastics processes
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