Phd Position In Microsensors And Electronics Within The Eic Pathfinder Project: Sweatpatch

Detalhes da Vaga

Organisation/Company: Centrale Lille Institut
Department: North
Research Field: Engineering » Biomedical engineering, Engineering » Microengineering, Physics » Applied physics, Engineering » Electrical engineering
Researcher Profile: First Stage Researcher (R1)
Positions: PhD Positions
Country: France
Application Deadline: 6 Dec 2024 - 23:59 (Europe/Paris)
Type of Contract: Temporary
Job Status: Full-time
Hours Per Week: 37
Offer Starting Date: 3 Feb 2025
Is the job funded through the EU Research Framework Programme? Horizon Europe - EIC
Is the Job related to staff position within a Research Infrastructure? No
Offer Description Centrale Lille Institute/IEMN is looking for a PhD student to develop a first prototype of functionalized microsensor on-patch for breast cancer monitoring in the framework of the SWEATPATCH Horizon-EIC-2023 European pathfinder open project (No 1201130618).
Context
SWEATPATCH European research project: Remote SWEAT Skin PATCH for Monitoring Breast Cancer Therapeutic Response.
SWEATPATCH aims to develop and clinically test a disruptive wearable and remotely connected passive patch that will enable real-time monitoring of the therapeutic response in breast cancer patients through the analysis of selected relevant volatile organic compounds (VOCs) biomarkers originating from the evaporation of sweat on skin.
Description of the PhD Thesis
The objective is to develop and clinically test a disruptive, passive, wearable and remotely-connected patch for real-time monitoring of therapeutic response in breast cancer patients by analyzing relevant VOCs biomarkers from sweat evaporation.
As a PhD student, you will work on:
FEM simulation and optimization of the core part of the sensor to design a high-performance VOCs microsensor.
Micro/Nano-fabrication and functionalization of the sensor surface.
Device characterization under targeted VOCs in controlled conditions for preliminary validation.
Supervision:
Prof. Philippe Pernod, PI of the SWEATPATCH project
Prof. Abdelkrim Talbi, Co-PI of the SWEATPATCH project
Dr. Lorena Manzanares, Participant in the SWEATPATCH project
Join our team and contribute to groundbreaking research in sensor technology and biomedical diagnostics!
Where to apply E-mail: ******
Requirements Education Level: Master Degree or equivalent in Engineering or Physics fields.
Skills/Qualifications:
Master's or engineering degree in Electrical Engineering, Biomedical Engineering, Physics, Applied Physics, or a related field focusing on microsensors and nanotechnology.
Strong background in physics, engineering, and technology.
Ability to work independently and collaboratively.
Proficient in written and oral English; French is an asset.
Specific Requirements:
Background in life sciences (biology, medicine) appreciated but not mandatory.
Motivation to learn relevant disciplines and work in a team.
Personal and relational qualities emphasized.
Ambition and motivation will be considered during evaluation.
Languages: ENGLISH Level Excellent
Additional Information What we can offer:
Exciting development opportunities in strong professional and international environments.
Access to State-of-the-Art Research facilities.
Participation in national and international trainings and conferences.
Selection process:
Applicants should submit:
Cover letter detailing relevant experience and motivation.
Contact details for at least two references.
List of any works of scientific nature/publications.
The fellowship will be for a period of 3 years in the AIMAN-FILMS group of Centrale Lille Institute/IEMN. The work will involve collaborative interactions with other partners of the SWEATPATCH project.
About the research training:
As a PhD Research Fellow, you will participate within a period of 3 years in an approved educational programme for a PhD degree provided by the ENGSYS Graduate School and get 60 Doctoral Training Credits (CFD) including at least 20 in professionalization.

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Salário Nominal: A acordar

Função de trabalho:

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