14 PhD positions in real-time characterization for materials engineering

15 Dec 2022

Job Information

Organisation/Company: Technical University of Denmark (MSCA Doctoral Network RELIANCE)
Department: MSCA Doctoral Network RELIANCE
Research Field: Computer science » 3 D modelling
Computer science
Engineering » Materials engineering
Engineering
Mathematics » Computational mathematics
Mathematics
Physics » Other
Physics
Technology » Other
Technology
Researcher Profile: First Stage Researcher (R1)
Country: Denmark
Application Deadline: 15 Aug 2023 - 12:00 (UTC)
Type of Contract: Temporary
Job Status: Full-time
Hours Per Week: 37
Offer Starting Date: 31 Aug 2023
Is the job funded through the EU Research Framework Programme?: HE / MSCA
Marie Curie Grant Agreement Number: 101073040
Is the Job related to staff position within a Research Infrastructure?: No

Offer Description

The European Doctoral Network RELIANCE seeks 14 PhD candidates for enrolment in an interdisciplinary training program on development of machine learning support real-time characterization techniques for composite materials. RELIANCE, standing for “REAL-TIME CHARACTERIZATION OF ANISOTROPIC CARBON-BASED TECHNOLOGICAL FIBRES, FILMS AND COMPOSITES”, is a European Marie Sklodowska-Curie Doctoral Network funded by HORIZON Europe.

If you are eager to work with new X-ray scattering and imaging technologies, and have not yet been awarded a doctoral degree, this is the perfect opportunity for you.

As a PhD student in the RELIANCE network, you will:

Work with key challenges that X-ray Scattering and Imaging need to overcome for being a versatile scientific and industrial tool applicable for in-line application, i.e., providing feedback to industrial processing in real time.
Join a multi-disciplinary network comprised of 8 high-profiled European academic institutions and 8 industrial enterprises all actively involved in X-ray scattering, imaging and composite materials. The team holds excellent expertise on the development of scattering and imaging technologies and the industrial application of such technologies.
Be enrolled in a comprehensive educational program comprised of summer schools, workshops, career plans, and secondments. Thanks to the secondments (3-10 months), you will experience to work both in academic and industrial research environments.
Strengthen your international profile by living and working in a new country. All PhD students in the RELIANCE network have to undertake physical transnational mobility in line with rules for European Doctoral Networks, i.e., you have to move from one country to another when taking your new position.

Members of the RELIANCE network:

Institution, Country

Technical University of Denmark, Denmark DK

Leiden University, Netherlands NL

Chalmers University of Technology, Sweden SE

Ecole Polytechnique federale de Lausanne, Switzerland CH

University of Manchester, United Kingdom UK

Central European Institute of Technology, Brno University of Technology, Czech Republic CZ

Paul Scherrer Institute, Switzerland CH

Stichting Nederlandse Wetenschappeluk Onderzoek Instituten, Netherlands NL

Teijin Aramid BV, Netherlands NL

Xenocs SA, France FR

Fiberline Composite A/S, Denmark DK

Oxeon AB, Sweden SE

Amsterdam Scientific Instruments, Netherlands NL

Volvo Cars AB, Sweden SE

Cygnet texkimp Limited, United Kingdom UK

Thermofisher Scientific FEI SAS, France FR

Requirements

Research Field: Physics » Mathematical physics
Education Level: Master Degree or equivalent

Research Field: Engineering » Materials engineering
Education Level: Master Degree or equivalent

Research Field: Mathematics » Computational mathematics
Education Level: Master Degree or equivalent

Languages: ENGLISH
Level: Good

Additional Information

Selection process

Below is a list of the 14 PhD projects. Select the project(s) you are most interested in and follow the link. The link guides you to the host institution’s advertisement or a contact person who holds information on how to apply for the position.

Deadline:

Please note the deadlines for submitting your application in the 14 individual PhD positions. We will evaluate the applications on a running basis. We therefore advise you to submit your application as soon as possible.

Start Date:

We expect that you start between February 1st and August 1st 2023.

Where to send your application:

Please send your application to the host institution according to their application procedure provided in the individual PhD positions.

Additional comments

The 14 open PhD positions:

Project Title

Host Institution

Location

Link

1) Prototyping platform for real-time analysis for ultrafast SAXS/WAXS on fibres, composites and polymer film (DC1)

Technical University of Denmark, DTU

Copenhagen, Lyngby, Denmark

Link https://efzu.fa.em2.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1/job/1306/?utm_medium=jobshare

2) Quantification and digitization of composite structure using sparse, fast imaging concept (DC2)

Central European Institute of Technology, CEITEC

Brno, Czech Republic

Link: https://euraxess.ec.europa.eu/jobs/46853

3) Multi-scale characterization of carbon fiber composites using X-rays (S1)

Paul Scherrer Institute, PSI

Villingen, Switzerland

Link PhD Student in Materials Science | Education and Jobs | Paul Scherrer Institut (PSI)

4) Prototyping platform for real-time depth resolved imaging in virgin and recycled composites (U1)

University of Manchester, UoM

Manchester, United Kingdom

Link https://www.jobs.manchester.ac.uk/displayjob.aspx?jobid=24831&isPreview=Yes&advert=external

5) In-line, real-time reconstruction of X-ray image data (DC3)

University of Leiden, UL

Leiden, Netherlands

Link https://www.universiteitleiden.nl/vacatures/2023/kwartaal-1/23-060phd-candidate-in-line-real-time-reconstruction-of-x-ray-image-data

6) Real-time quality enhancement of reconstructed X-ray scattering data (DC4)

University of Leiden, UL

Leiden, Netherlands

Link https://www.universiteitleiden.nl/vacatures/2023/kwartaal-1/23-059phd-candidate-real-time-quality-enhancement-of-reconstructed-x-ray-scattering-data

7) Computational development of X-ray scattering tensor tomography (S2)

Paul Scherrer Institute, PSI

Villingen, Switzerland

Link PhD Student in Materials Science | Education and Jobs | Paul Scherrer Institut (PSI)

8) Geometric model for ultrafast deep inference of X-ray scattering (DC5)

Technical University of Denmark, DTU

Copenhagen, Lyngby, Denmark

Link https://efzu.fa.em2.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1/job/1330/?utm_medium=jobshare

9) Machine learning accelerated segmentation and modelling of composites (DC6)

Chalmers University of Technology, CUT

Göteborg, Sweden

Link Vacancies | Chalmers

10) Fast and automated composite’s defect detection via an integrated multimodal digital environment (DC7)

Thermofisher Scientific FEI SAS

Mérignac, France

Link https://jobs.thermofisher.com/global/en/job/225766BR/Phd-Candidate-RELIANCE-NETWORK

11) STILL HIRING

3D X-ray imaging and scattering techniques for advanced material characterization of pultruded carbon fiber composites for wind turbine blades (DC8)

Technical University of Denmark, DTU

RISØ Campus, Roskilde, Denmark

Link https://efzu.fa.em2.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1/job/1889

12) Structural battery composites (DC9)

Chalmers University of Technology, CUT

Göteborg, Sweden

Link https://www.chalmers.se/en/about-chalmers/Working-at-Chalmers/Vacancies/Pages/default.aspx?rmpage=job&rmjob=11305&rmlang=UK

13) Waviness and kinking in unidirectional composites-modelling (DC10)

Chalmers University of Technology, CUT

Göteborg, Sweden

Link Vacancies at Chalmers University of Technology | Chalmers

14) Waviness and kinking in 1D composites (U2)