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

We have two open post-doctoral positions in our team – one experimental related to image analsyis of soft knee tissues, and one numerical related to computational modeling of tendon mechanics. 

1: Experimental synchrotron imaging of soft knee tissues:

We are looking for a post-doctoral researcher focusing on synchrotron imaging and image analysis to join our team.  The goal for the post-doc is to develop, perform and primarily analyze data from high resolution experimental imaging of soft tissues, acquired mainly using synchrotron phase contrast X-ray tomography, but also other imaging modalities. The goal includes characterizing meniscus and cartilage microstructure and its relation to loading, based on in situ loading experiments during imaging.

The link to the full advertisement and application system is below:

https://lu.varbi.com/en/what:job/jobID:631105/type:job/where:4/apply:1

Application deadline:  6th of July

Please contact Prof. Hanna Isaksson (hanna.isaksson@bme.lth.se) with any questions.

2: Numerical modeling of achilles tendon mechanics and/or mechanobiology:

We are looking for a post-doctoral researcher in computational modeling of tendons. This position is within a larger ERC-funded project (Tendon_MechBio) with the scope to elucidate how mechanical loading affects tendon mechanics and tendon regeneration. There is a possibility to employ up to two postdoctoral researchers with the following two aims. 

1. To investigate how mechanical loading influences healing tendon function, structure and composition. The project includes further developing and validating an existing adaptive mechanoregulatory model for tendon repair. This will be based on collected experimental data. The developed computational scheme will be important for the project to elucidate the mechanobiological mechanisms at play. 
2. To develop detailed structural and anatomical computational models of the tendon tissue, in order to understand how mechanical loading influences tendon function, structure and composition. The computational modeling will be based on unique collected experimental data. The detailed structural models will be key in the project to elucidate the mechanisms guiding the tendon organ and tissue level response to load. 

Applicants can present preferences between aim 1 or 2, or state interest in both options.

The link to the full advertisement and application system is below:

https://lu.varbi.com/en/what:job/jobID:630270/type:job/where:4/apply:1

Application deadline: 6th of July

Please contact Prof. Hanna Isaksson (hanna.isaksson@bme.lth.se) with any questions.