The objective of this joint project (LBA & LBMC) is to integrate the barrier impact into the airbag evaluation processes of the previous REGAM project. This objective thus feeds two strategic issues:

– Quantify the combined effects of wearing an airbag vest and of a safety barrier with or without a motorcyclist screen to reduce the risk of injury during an accident (definition, analysis and choice of injury criteria in a reference case).

– Identify the area of protection (gain/limits) offered by regulatory barriers for different impact situations with the motorcyclist (sensitivity analyses).

To do this, it is a question of establishing a crash numerical modeling combining motorcyclist, motorcycle, airbag and restraint device, based on the previous work on the subject at LBA and LBMC.

More details can be found here:

https://lbmc.univ-gustave-eiffel.fr/fileadmin/redaction/LBMC/Documents/Post-doc/REGAM2_Offre_de_PostDoc_FR_ANG.pdf

The Institute for Materials Science and Engineering at Clausthal University of Technology is pleased to announce a postdoctoral position available for three years, with the potential for extension by an additional three years. We welcome applications from individuals who are motivated, enthusiastic, and collaborative, demonstrating a commitment to developing solutions for pressing global challenges. The salary scale for this position is EG 13 TV-L aligning with the German collective labour agreement (indicative gross monthly salary range is €4,188.00 – €6,037.00 depending on experience, family status, etc.). This opportunity is suitable for part-time work and is crafted as a qualification position for postdocs. However, we encourage outstanding candidates, including those without a PhD, to explore the opportunity to pursue a doctorate at Clausthal University of Technology.

The Institute for Materials Science and Engineering at Clausthal University of Technology has a strong application focus in Research and Teaching. The working group Digitalisation in Materials Science and Engineering has a focus on biologic, architectured materials and engineered living materials. The prospective candidate should strengthen this area strategically so that we seek a candidate with a background or interest in biological tissues.

You will find key duties, a description of your profile, what we offer, contact details, and how you can apply under https://tinyurl.com/ycxf74te. We review applications on an ongoing basis and close this advert as soon as we have found a suitable candidate. Please do not hesitate to contact us if you have any questions. We look forward to hearing from you!

We are looking for a postdoctoral researcher to work on the project MECA-ICTUS, a 3-year project funded under the Generación de Conocimiento 2022 call of Agencia Estatal de Investigación. In MECA-ICTUS we will pursue the development of computational mechanics and machine learning tools for predicting the success of endovascular thrombectomy, an urgent intervention for the removal of thrombi in Acute Ischemic Stroke Patients.

The selected candidate will be responsible of 1) development of computational mechanics tools within an on-going Finite Element framework in Julia language, in which the PI and collaborators have worked during the last 4 years, and 2) development of machine learning models to predict the success of the intervention.

The project is meant to ensure the professional growth of the selected candidate. He/she will work in CIMNE/LaCàN (UPC), an enriching environment with a strong expertise in computational mechanics, biomechanics and data-driven modelling. The project will also involve exchanges with international researchers in France, Italy and USA as well as continuous exchanges with clinicians to ensure the adequacy of the numerical developments.

For applications, please see details below.

For any enquiries don’t hesitate to reach the project PI, Miquel Aguirre (miquel.aguirre@upc.edu). No application will be accepted by e-mail.

 Required skills:

• A PhD in applied mathematics or engineering in the field of computational mechanics.
• Strong knowledge of nonlinear continuum mechanics.
• Programming experience in scientific computing.
• Experience in the development of finite element software.
• Writing and communication skills.

Other valued skills (not mandatory):

• Experience in the development of machine learning models.
• Experience in Julia programming.
• Experience in the development of nonlinear solid mechanics solvers, involving large deformations and/or contact and/or fracture.
• Experience in preprocessing medical imaging data for patient-specific simulations.

Qualification system:

The requisites and merits will be evaluated with a maximum note of 100 points. Such maximal note will be obtained summing up the following points:

• Publication and career track: 10%
• Previous research and/or academic experience in the field of the position: 20%
• Programming skills: 20%
• Language and communication skills: 20%
• Interview: 30%

Candidates must complete the “Application Form” form on our website, indicating the reference of the vacancy and attaching the required documents.

The deadline for registration to the offer ends on September 30, 2023 at 12 noon.

The preselected candidates may be requested to send the documentation required in the “Requirements” and “Merits” sections, duly scanned, and may be called to go through selection tests (which might be of eliminatory nature) and / or personal interviews.

Proyecto PID2022-136668OA-I00 financiado por MCIN/AEI/10.13039/501100011033/ FEDER, UE

Further details and application link: https://www.cimne.com/vnews/m973/11967/vac-2023-49-%E2%80%93-postdoc-position-in-data-driven-modelling-for-endovascular-thrombectomy