R+D+I engineering technician

Functions to develop:

• Construction of statistical learning and Machine/Deep Learning models in respiratory signals to identify potentially harmful interactions between patient and ventilator.
• Data transformation and cleaning
• Processing of large data sets (Big Data).
• Planning, preparation and management of databases
• Extraction of characteristics and physiomarkers

Requirements:

• Bachelor's degree / bachelor's degree preferably, Biomedical Engineering, Telecommunication Engineering, Mathematics or related area.
• Master's preferably in Biomedical Engineering

We will value:

• Curriculum vitae.
• High level in digital signal processing techniques.
• Non-linear analyzes (entropies and dynamic complexity) of time series.
• Experience in statistical data analysis and machine learning methods.
• Programming language R, Python and MATLAB.
• Knowledge of relational databases and SQL language.
• Familiar with the acquisition of biomedical signals (EMG, MMG, ECG, PPG, respiratory signals).
• Basic knowledge about the respiratory system, patient-ventilator interaction, and sleep studies.
• Good level of Catalan, Spanish and English both written and spoken.
• Critical thinking skills, self-learning, teamwork, communication and rigor.

We offer:

The candidate will be employed, through a temporary contract, in the replacement modality until the position is definitively filled (temporarily, he may be bonded through other contractual modalities, without losing the interim status); with the working conditions included in the Collective Agreement applicable in the Centre.

The dedication will be full-time

Selection process:

The general conditions of this open call will be governed by the clauses present in this current offer and by the procedures outlined in the basis for open calls for occupation of current positions which is available on the website www.tauli.cat

In compliance of the LISMI, the Consortium will consider the preferred selection of those candidates whose recognized disability is equal or superior to 33%, provided that they are ideal for the performance of the tasks required

Information, registration, documentation and deadlines:

Interested persons may register by clicking oon the following link: https://tauli.talentclue.com/es/node/91921085/12623479

It will be necessary to attach the curriculum in PDF format and attach as additional documents the requirements of the call, as well as all the documentation you consider suitable for the accreditation of individual merits.

For questions regarding the call, please contact [email protected] indicating the reference number of this announcement.

Deadline: November 21, 2022