Sonia Puértolas

Bis 2026, MSc Thesis Student in Computational Neuroscience, ZEISS

Fähigkeiten und Kenntnisse

EEG Signal Processing
Computational Neuroscience
Laboratory Skills
Engineering
Computer Aided Diagnosis
Computer Vision
Machine Learning
Project Coordination
Medical Device Product Development
Good Laboratory Practice (GLP)
Project Management
Medical Technology
Data Analysis
Microsoft Office
Python Programming
Neural Networks
ISO 13485
Software Development
Neuroimaging
ISO 14971
Statistical Data Analysis
Object-Oriented Programming (OOP)
Unity
User Manual Development
Verification and Validation (V&V)
Virtual Reality (VR)
Virtual Reality Development
Artificial intelligence
Easily Adaptable
Leadership
Problem Solving
Critical Thinking
Decision-Making
Open-Mindedness
Teamwork

Werdegang

Berufserfahrung von Sonia Puértolas

  • 6 Monate, Apr. 2026 - Sep. 2026

    MSc Thesis Student in Computational Neuroscience

    ZEISS

    - Submission date: October 2026 - Research project as part of the NeuroVision project for computational neuroscience. - Improving state of the art EEG-to-image alignment with a human biology approach using Python.

  • 3 Monate, Jan. 2026 - März 2026

    Intern in EEG Data Acquisition and (Pre-)Processing

    ZEISS

    - Stand-alone project as part of the NeuroVision project for computational neuroscience. - Designed, optimized and implemented user-ready software for decoding purposes using Python. - Documented via user-friendly manuals for use of the developed software.

  • 3 Monate, Okt. 2025 - Dez. 2025

    Intern in Medical VR Applications

    ZEISS

    - Researched on diagnosis of Age-Related Macular Degeneration (AMD) using computational methods. - Developed a Virtual Reality (VR) application for an initial qualitative and quantitative diagnosis of AMD using Unity and C#.

  • 6 Monate, Apr. 2025 - Sep. 2025

    HiWi to support in Microelectrode Array (MEA) prototype production

    NMI Naturwissenschaftliches und Medizinisches Institut

    - Performed quality inspections and documented production results for MEA batches. - Analyzed of production and quality data to identify process deviations and improvement opportunities. - Conducted material characterization and testing of MEA components. - Preparared samples and supported in performance testing activites. - Performed maintainance of production records, reports, and technical documentation.

  • 5 Monate, März 2024 - Juli 2024

    Research And Development Intern

    Fresenius Kabi

    - Supported R&D activities for CONOX, a medical device for monitoring the depth of anesthesia through verification, validation, and performance testing. - Conducted quality and compliance-related testing, documenting results and supporting design verification activities. - Contributed to risk management and risk assessment processes in accordance with ISO 14971 requirements for medical devices. - Assisted in maintaining technical documentation and ensuring compliance with applicable standards, including ISO

Ausbildung von Sonia Puértolas

  • 2 Jahre und 1 Monat, Okt. 2024 - Okt. 2026

    Master of Science - MSc

    Eberhard-Karls-Universität Tübingen

    - Specialisation in Bioimaging and Nanobioanalytics - Elective courses in innovation and biostatistics

  • 5 Monate, Sep. 2023 - Jan. 2024

    Bachelor of Engineering - BE (ERASMUS +)

    University of Limerick

    4 month stay as part of the Erasmus + programme with specialisation in Bioinformatics, In Vitro Models and Supply Chain Design.

  • 3 Jahre und 11 Monate, Sep. 2020 - Juli 2024

    Bachelor's degree

    Universitat Politècnica de Catalunya

    - BSc focused on foundational formation in Industrial Engineering, specialising in Biomedical Engineering - Broad knowledge of the field with courses on biomechanics, medical device design, biomedical sensors, signal and image processing and bioinformatics

Sprachen

  • Español

    C2 (Verhandlungssicher / Muttersprachlich)

  • Catalán

    C2 (Verhandlungssicher / Muttersprachlich)

  • Inglés

    C1 (Fließend)

  • Deutsch

    A1-A2 (Grundkenntnisse)

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