Independent and proactive working style.
Experience with sensor setup, calibration and real-time digital signal recording.
Strong skills in practical lab testing and data analysis.
Hands-on experience in experimental setups and system assembly.
Knowledge and experience on the use of CFD software (ANSYS, OpenFoam, etc.).
Experience in programming and performing advanced AI statistical modelling with Matlab, Phyton, R, etc.
Preferred, but not required, understanding of hemodynamics or non-Newtonian fluids.
This position offers a unique opportunity to work at the intersection of biomedical engineering, computational modelling, and experimental research, contributing to life-saving neonatal technologies. The candidate will need to comply with pre-requisites to apply for the doctoral thesis in the fields covered by the Strategic Technologies for Europe Platform (STEP).
Important
Candidates must meet the following requirements to apply for the STEP technologies (FI-STEP) grant:
- Have the nationality of a member state of the European Union.
- Have completed a bachelor’s degree or an equivalent qualification and provide proof of a minimum average grade in their academic record equal to or higher than 6.50 (on a scale from 0 to 10). This grade must be calculated according to the criteria specified in Royal Decree 1125/2003, of September 5, which establishes the European credit system and the grading system for official university degrees valid throughout the national territory.
(Equivalency information).
For the processing, the academic records of the bachelor's and master's degrees (with the year of completion) and the average grade will be mandatory.
- Have completed studies leading to a PhD in accordance with Article 21 of Law 14/2011, of June 1, on Science, Technology, and Innovation, between January 1, 2022, and the starting date of the contract covered by this grant.
- Permanent contract of 37.5 hours per week.
- Work modality: On-site with the option for remote work one day per week.
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