PhD Research Opportunity: Development of Electrochemical Wearable Sensors for the Rehabilitation Process Using Artificial Intelligence(MATX-08)

Atlantic Technological University (ATU)

  • Galway
  • €22,000 per year
  • Permanent
  • Full-time
  • 13 days ago
Job Information Organisation/CompanyAtlantic Technological University (ATU) DepartmentResearch Research FieldEngineering » Biomedical engineeringEngineering » Chemical engineeringEngineering » Electronic engineeringComputer science » Other Researcher ProfileFirst Stage Researcher (R1) CountryIreland Application Deadline29 Apr 2024 - 17:00 (Europe/Dublin) Type of ContractNot Applicable Job StatusNot Applicable Hours Per WeekFull Time Study Offer Starting Date2 Sep 2024 Is the job funded through the EU Research Framework Programme?European Union / Next Generation EU Is the Job related to staff position within a Research Infrastructure?NoOffer DescriptionThe Higher Education Authority (HEA) Technological University Research and Innovation Supporting Enterprise, Scheme (TU RISE) is co-financed by the Government of Ireland and the European Union through the European Regional Development Fund (ERDF) via the Southern, Eastern & Midland Regional Programme 2021- 27 and the Northern & Western Regional Programme 2021-27.Funding for this Project includes:
  • A student stipend (usually tax-exempt) valued at €22,000 per annum
  • Annual waivers of postgraduate tuition fee
  • Extensive research training programme
  • Support for travel, consumables and dissemination expenses
The Postgraduate Research Programme MedAgriTech AI eXcellence (MATX) funded under TU RISE, 12 PhD research scholarships to commence in 2024. Each project will include an enterprise placement of minimum 12 weeks duration.Project title, MATX-08: Development of Electrochemical Wearable Sensors for the Rehabilitation Process Using Artificial IntelligenceWearable sensors have emerged as a tool in rehabilitation, offering a dynamic and personalized approach to therapy using Artificial Intelligence. These sensors, integrated into wearable devices such as smart gloves or motion-capture garments, play a crucial role in delivering targeted interventions for individuals undergoing arm and hand rehabilitation. By continuously monitoring and recording the precise movements of the affected limbs, wearable sensors provide real-time feedback to both therapists and patients, facilitating a more objective and data-driven rehabilitation process. This objective measurement of arm and hand movements not only enhances the accuracy of therapy but enables therapists to tailor interventions based on the individual's progress. This information allows healthcare professionals to tailor rehabilitation programs to an individual's needs and progress. Machine learning algorithms can identify patterns and correlations in data, providing valuable insights into the most effective rehabilitation strategies for specific conditions or patient profiles. Real-time monitoring further enables adjustments to the treatment plan based on the individual's response, optimizing outcomes and promoting a more personalized and efficient rehabilitation journey. The integration of wearable sensors in rehabilitation both transforms the traditional rehabilitation model and empowers individuals with a more engaging and quantifiable rehabilitation experience, ultimately leading to improved outcomes and enhanced recovery.Objectives of the research project ):
  • Literature review of wearable sensors that provide biometric data.
  • Implementation of chosen wearable sensors, and development of coherent data collection methods.
  • Development of Machine Learning techniques using wearable sensor data to cluster and identify patterns and correlations.
  • Investigation of real-time monitoring machine learning tool to enable feedback, adjustments during therapy sessions.
  • Experimental validation and quantification of benefits.
A minimum of 2.1 honours degree (Level 8) in a relevant discipline.Project Duration:48 months (PhD)Preferred Location:ATU Galway, CampusApplications:Application Form / Terms of Conditions can be obtained on the website:The closing date for receipt of applications is 5pm, (GMT) Monday 29th April, 2024.Only selected applicants will be called for an online interview (shortlisting may apply).RequirementsResearch Field Engineering Education Level Bachelor Degree or equivalentSpecific RequirementsEssential qualifications:
Chemical Engineering, Biomedical Engineering, Materials Engineering, Chemistry/Physical Sciences, Mechatronic Engineering, Electronic Engineering, or a related discipline. First or High Second-class degree or Masters in the relevant disciplines.Desired skills:
Computer Science, Data Science/Modelling, Artificial Intelligence, Integrated Circuit Design, Programming, Real-time monitoring, Wearables, Internet of Things (IoT), Medical Device Design.Languages ENGLISH Level GoodResearch Field EngineeringAdditional InformationWebsite for additional job detailsWork Location(s)Number of offers available 1 Company/Institute Atlantic Technological University (ATU) Country Ireland GeofieldWhere to apply WebsiteContact CityGalway WebsiteE-Mailanushree.dwivedi@atu.ieSTATUS: EXPIRED

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