Challenges in Time Series Modelling: a Study - Grenoble, France - CEA - Commissariat à l'Energie Atomique

CEA - Commissariat à l'Energie Atomique

Entreprise vérifiée

Grenoble, France

il y a 3 semaines

Posté par:

Sophie Dupont

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Description

Domaine:

Mathématiques, information scientifique, logiciel

Contrat:

Stage

Intitulé de l'offre:

Challenges in time series modelling:
a study applied to blood pressure estimation from PPG data

Sujet de stage:

Our aim is monitoring cardiovascular health, and in particular blood pressure. Based on the technology available in our department, our objective is to estimate blood pressure from photoplethysmography (PPG) signals. The study will focus on adapting standard machine techniques (clustering, cross-validation, modelling) for time series.

Durée du contrat (en mois):
6 mois

Description de l'offre:

Join us for an internship
As an intern at CEA, you will have the opportunity to work in a world-renowned research environment. Our teams are made up of passionate and dedicated experts, providing a framework conducive to learning and collaboration. You will have access to cutting-edge equipment and top-notch research resources to carry out your missions.

Job description:

At LMTS lab, you will work within a team of 15 people.

Our objective will be to estimate blood pressure from PPG signals. This study will focus on adapting standard machine techniques (clustering, cross-validation, modelling) for time series. Quantitative assessments will be implemented on clinical data.

Here are some of the tasks in which you will participate:

Comparing different cross-validation strategies for time series, based on clinical blood pressure and PPG data
Evaluating the benefit of autoregressive models vs nontemporal models for the estimation of blood pressure
Implementing a multimodel blood pressure estimation, based on clustering analysis

Depending on your reporting expectations, the study may be adapted.

Moyens / Méthodes / Logiciels:

Matlab / Python / Machine learning

What do we expect from you?
You are preparing a Master 2 or an engineer degree.

You are passionate about scientific and technological research and you are recognized for taking initiative, being methodical and your team spirit.

You have knowledge of programming (Python or MATLAB) and machine learning.

All our positions are open to people with disabilities. The CEA Disability Mission supports you and puts in place the necessary arrangements to meet your specific needs.

Localisation du poste:

Site:

Grenoble

Localisation du poste:

France, Auvergne-Rhône-Alpes, Isère (38)

Ville:

Grenoble

Langues:

Anglais (Intermédiaire)
Français (Courant)

Diplôme préparé:

Bac+- Diplôme École d'ingénieurs

Formation recommandée:

Signal processing, machine learning

Possibilité de poursuite en thèse:

Non

Demandeur:

Disponibilité du poste:

04/03/2024