Machine learning for 3D printed multifunctional metamaterials

Czech Technical University in Prague, Czech

Updated: 4 days ago
Job Type: FullTime
Deadline: 31 May 2026

16 Apr 2026
Job Information
Organisation/Company

Czech Technical University in Prague
Department

Department of Mechanics and Materials
Research Field

Technology » Materials technology
Researcher Profile

First Stage Researcher (R1)
Positions

PhD Positions
Application Deadline

31 May 2026 - 23:59 (Europe/Brussels)
Country

Czech Republic
Type of Contract

Temporary
Job Status

Full-time
Hours Per Week

40
Offer Starting Date

1 Sep 2026
Is the job funded through the EU Research Framework Programme?

Horizon Europe - MSCA
Is the Job related to staff position within a Research Infrastructure?

No

Offer Description

Pictus PhD Fellowship Programme

Czech Technical University in Prague – International PhD Programme (PICTUS) will recruit  a total of 23 PhD students (see Eligibility criteria below) for a full 48-month employment contract and enroll them in a specific PhD course.  Candidates should prepare their own research proposal from the topics offered  .

Application form  should be filled  and all required documents uploaded using the dedicated electronic form.

helpdesk: petra.koudelova@fsv.cvut.cz

Machine learning for 3D printed multifunctional metamaterials

Description:

The PhD topic focuses on the use of machine learning to accelerate the design and understanding of 3D-printed multifunctional metamaterials, which exhibit tailored combinations of mechanical, thermal, and functional properties. Highly complex 3D lattice and architected structures can now be fabricated, but their design space remains extremely large and difficult to explore using traditional methods. This project will combine experimental data, numerical simulations, and data-driven approaches to uncover structure–property–process relationships and enable predictive modeling.

Particular emphasis will be placed on state-of-the-art approaches such as physics-informed machine learning (PINNs), graph neural networks for lattice structures, and neural operators for fast surrogate modeling, as well as AI-driven inverse design and generative models. The project will include multiphysics learning, uncertainty quantification, and closed-loop design frameworks integrating real experimental feedback, with the goal of creating robust and reliable design of metamaterials for complex loading conditions.

The overall objective is to develop an AI-enhanced framework for the rapid design and optimization of next-generation metamaterials, targeting applications in impact engineering, lightweight structures, and advanced functional systems.

Secondment:

National Cheng Kung University, Taiwan (prof. Fuh-Gwo Yuan, H-index 54)

Joint Research Center, ELSA HopLab, Ispra, Italy (dr. Marco Peroni)

Maribor University, Slovenia (prof. Matej Vesenjak, H-index 41)


Where to apply
E-mail

jirousek@fd.cvut.cz

Requirements
Research Field
Technology » Materials technology
Education Level
Master Degree or equivalent

Skills/Qualifications

Required documents  to be uploaded to the  Application form webpage

  • CV including
    a)      Education received
    b)      Any working and professional experience
    c)      Prizes and Awards
    d)      Participation at projects
    e)     Internships
    f)      List of publications
  • Master thesis
    pdf max 20 MB
  • Research proposal
    Select one of the topics offered
     
    Required sections: 1) Excellence, 2) Impact incl. expected outputs of the project, 3) Quality and Efficiency of the Implementation 4), Personal motivation: description of career goals, foreseen advancement in research and professional skills of the Applicant.
    Consult your proposal with the respective Supervisor. You are encouraged to communicate with the Supervisor  before you submit the application.
  • Master degree diploma

    • Specific Requirements

    Experience:
    * Master degree at the time of beginning of the contract
    * previous studies compatible with the project they intend to apply with 

    Mobility: applicants must not have resided or carried out their main activity in the Czech Republic for more than 12 months in the 3 years prior to the Calls’ deadline (career breaks not counted).


    Languages
    ENGLISH
    Level
    Good

    Additional Information
    Benefits

    Benefits and Conditions

    Gross monthly salary of 69 300 CZK/month*
    Family allowance 8 888 CZK/month (for applicants with dependent family members)
    Travel support for conferences and secondments
    Research costs1 

    *The gross monthly salary CZK is under the standard scheme in the Czech Republic and includes mandatory social and health insurance. Therefore, the gross salary contains an employee contribution to social and health insurance of 11% and it is standardly taxable (15 % rate). Some tax discounts are given to e.g. employees with children. All rates subject to adjustments due to changing exchange rate. 

    Example: a single researcher would get approx. 55 000 CZK as net salary

    The offered salary is equivalent to the standard MSCA individual postdoc award, and it is highly competitive 


    Eligibility criteria

    Experience:
    * Master degree at the time of beginning of the contract
    * previous studies compatible with the project they intend to apply with 

    Mobility: applicants must not have resided or carried out their main activity in the Czech Republic for more than 12 months in the 3 years prior to the Calls’ deadline (career breaks not counted). 


    Additional comments

    Application form  should be filled  and all required documents uploaded using the dedicated electronic form.

    helpdesk: petra.koudelova@fsv.cvut.cz


    Website for additional job details

    https://www.fd.cvut.cz/en/faculty/organizational-structure/departments/departme…

    Work Location(s)
    Number of offers available
    1
    Company/Institute
    Faculty of Transportation Sciences
    Country
    Czech Republic
    City
    Prague 1
    Postal Code
    110 00
    Street
    Na Florenci 1324/25
    Geofield


    Contact
    State/Province

    Czech Republic
    City

    Prague
    Website

    https://www.cvut.cz/en
    Street

    Jugoslávských partyzánů 1580/3
    Postal Code

    160 00
    E-Mail

    jirousek@fd.cvut.cz

    STATUS: EXPIRED

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