Hrs2025 / 317 Experto En Espacios De Datos / Data Space Expert

buscojobs España; Madrid; Presencial; EUR 30.000 - 45.000; Jornada completa

Descripción de la vacante

Une institution de recherche espagnole recherche un Postdoc en programmation pour travailler sur des projets innovants dans le domaine de la science des données. Le candidat retenu participera à des projets de recherche approfondis sur l'analyse des données de santé, en utilisant des compétences avancées en programmation Python et des modèles machine. Un Master en informatique ou un domaine connexe est requis, avec une expérience préalable en recherche appréciée.

Formación

• Expérience en analyse de données de santé.
• Programmation en Python avec bibliothèques comme Pandas et Numpy.
• Connaissances en modèles machine et deep learning.

Responsabilidades

• Conception de modèles de données pour l'espace de données pharmacocinétique.
• Analyse descriptive des données pharmacocinétiques.

Conocimientos

Analyse de données de santé

Programmation Python

Connaissances des modèles machine et deep learning

Dissemination des résultats

Educación

Master en Informatique ou similaire

Descripción del empleo

EUR 30.000 - 45.000

Organisation / Company UNIVERSIDAD POLITECNICA DE MADRID Department HRS4R Research Field Computer science » Programming Researcher Profile First Stage Researcher (R1) Positions Bachelor Positions Country Spain Application Deadline 16 Jun 2025 - 20 : 00 (Europe / Madrid) Type of Contract Permanent Job Status Full-time Hours Per Week 37,5 Offer Starting Date 1 Jul 2025 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No

Offer Description

Design of data models for the pharmacokinetic data space

Definition of data sovereignty policies

Descriptive analysis of pharmacokinetic data

Where to apply

E-mail

Requirements

Research Field Engineering » Computer engineering Education Level Master Degree or equivalent

Skills / Qualifications

Experience in health data analysis.

Python programming (high level), including Pandas, Matplotlib, Numpy, Sklearn, LightGBM and Optuna.

Knowledge of data spaces and European convergence activities in this regard.

Knowledge of machine models and deep learning.

Experience in R&D projects and dissemination of their results.

Experience in :

Publications in high-impact journals.

Participation in national and international conferences.

Experience in dissemination and outreach.

Specific Requirements

Master in Computer Engineering, Artificial Intelligence, Data Science or similar.

Graduate in Computer Science or similar.

Experience in health data analysis.

Python programming (high level), including Pandas, Matplotlib, Numpy, Sklearn, LightGBM and Optuna.

Knowledge of data spaces and European convergence activities in this regard.

Knowledge of machine models and deep learning.

Experience in R&D projects and dissemination of their results.

Experience in :

Publications in high-impact journals.

Participation in national and international conferences.

Experience in dissemination and outreach.

Research Field Computer science » Other Years of Research Experience 1 - 4

Additional Information

The selected candidate will join the MEDAL Laboratory of the CTB-UPM, Carretera M.40, KM. 38. 28223 Pozuelo de Alarcón, Madrid, Spain.

Eligibility criteria

Master in Computer Engineering, Artificial Intelligence, Data Science or similar : 0 - 1

Graduate in Computer Science or similar : 0 - 1

Professional experience : 0 - 2

Use of computer tools : 0 - 2

Medium-high level of English : 0 - 1

Other skills and competencies : 0 - 2

Personal interview : 0 - 2

Selection process

Additional comments

Only applications that send a copy of the required degrees to the email : , indicating in the subject the reference : "Experto en espacios de datos" will be evaluated.

Those candidates that DO NOT meet the previous requirement will be EXCLUDED from the selection process.

This contract is financed with funds from the TSI-100121-2024-0064 project, of the 1st CALL FOR PROPOSALS FOR THE SECTORAL DATA SPACES PROGRAM, in accordance

with the provisions of articles 22.4 and 29.9 of Order TDF / 1461 / 2023, of December 29, which approves the regulatory bases and makes the call for the granting of aid, in

the field of digitalization, for the digital transformation of strategic productive sectors through the creation of demonstrators and use cases of Data Sharing Spaces, within

the framework of the Recovery, Transformation and Resilience Plan-Next Generation EU (Sectoral Data Spaces Program), amended by Order TDF / 294 / 2024, of April 4.

Work Location(s)

J-18808-Ljbffr