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ORGANISATION/COMPANYComplutense University of Madrid
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RESEARCH FIELDBiological sciences › OtherTechnology › Materials technology
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RESEARCHER PROFILEFirst Stage Researcher (R1)
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APPLICATION DEADLINE31/08/2021 15:00 - Europe/Brussels
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LOCATIONSpain › Madrid
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TYPE OF CONTRACTTemporary
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JOB STATUSFull-time
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HOURS PER WEEK37,5
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OFFER STARTING DATE01/11/2021
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EU RESEARCH FRAMEWORK PROGRAMMEH2020 / Marie Skłodowska-Curie Actions
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REFERENCE NUMBERH2020-ITN-2020
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MARIE CURIE GRANT AGREEMENT NUMBER956274
OFFER DESCRIPTION
General project´s description:
EYE is an ITN project funded by the EC within the H2020 programme providing training and professional development to 5 Early Stage Researchers (ESR) in Vision Sciences and Optical Imaging Technologies. The duration of the contracts is 36 months. EYE is an industrial doctorate which implies that students will spend 50% of time working in a private sector. EYE-EID will provide to its students an unique opportunity to gain knowledge, skills, and experience through experimental optical training, computational simulation, and cutting-edge clinical applications.
EYE counts with the participation of the Complutense University of Madrid (UCM) (Spain) with a multidisciplinary research involving Biochemistry, Physics, Optics and Vision Sciences areas, and two industrial partners: Mark'ennovy (United Kingdom), a leading European company specialized in the design, manufacture and sale of CL and Alain Afflelou (Portugal), an optical centres group, which will facilitate the interaction with the presbyopic population and clinicians.
The EYE project aims to analyse, simulate, improve and assess current presbyopia correction strategies in order to choose the optimal contact lens for each patient, offering new presbyopic solutions based on the eye-vision particularities of each person in a personalized way.
The research program will focus on:
(1) New designs of presbyopic contact lenses.
(2) New Contact Lens Materials.
(3) Computer modelling of eye response and adaptation to new contact lenses
(4) Validation of patient’s outcomes reports on global contact lens performance.
(5) Development of e-Health instruments and technologies for Big Bata analysis in contact lens for presbyopia.
ESR 5 POSITION. Project Title: e-Health and Big Data.
This position involves work at Complutense University of Madrid (UCM) (Spain), and at private company, Alain Afflelou (Portugal).
The prime aim of this project is to develop tools capable of collecting and monitoring clinical parameters, patient-reported outcomes and environmental conditions in a continuous manner throughout the patient’s different circumstances while they wear CLs.
More Information
Benefits
- Employment for 3-years, with an attractive salary package including living, mobility and (if applicable) family allowances in accordance with the Marie Skłodowska-Curie rules for Early Stage Researchers (ESRs).
- The fellows will be provided with full employment contract including social security and all the benefits equal as other researchers working at similar positions
- The recruitment conditions will be fully in line with those outlined in the "European Charter for Researchers and The Code of Conduct for the Recruitment of Researchers".
- Excellent research environment, infrastructure and resources.
- International, interdisciplinary and inter-sectoral mobility opportunities.
- Advanced research and transferable skills training.
- Opportunity to build an extensive international professional network.
Eligibility criteria
- Title enabling to enrol into a PhD programme in Spain - Master in a relevant field (suggested but not limited to Physics, Optics, Biomedical Engineering, Mathematics, Computer Modelling).
- Candidates can be of any nationality. Applications from female candidates are strongly encouraged.
- The candidate must not have resided or carried out their main activity (work, studies) in Spain for more than 12 months in the 3 years immediately prior to the recruitment date.
- The candidate needs to be in his/her first four years of his/her research career. The four years are counted from the date a degree was obtained which formally entitles to embark on a doctorate either in the country in which the degree was obtained or in the country of employment.
Selection process
How to apply
Applications must contain a CV, motivation letter, publication list, contact information of two referees, copy of the Degree and Master title (when applicable). CV must clearly indicate the exact dates of (1) each position hold in the past, and (2) countries of residence in the last 5 years. Applications must be sent directly to contact email indicated below:
Contact: Prof. David Madrid-Costa, damadrid@ucm.es
The recruiting procedure will be transparent and internationally comparable following the rules of the European Code of Conduct for the Recruitment of Researchers. The selection committees will be constituted at each partner institutions, and will be required to bring together diverse expertise and competences and gender balance and members from academic and private sectors. Skype interviews will be used for the final step of selection.
Required Research Experiences
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RESEARCH FIELDOther
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YEARS OF RESEARCH EXPERIENCE1 - 4
Offer Requirements
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REQUIRED EDUCATION LEVELMathematics: Master Degree or equivalentComputer science: Master Degree or equivalentPhysics: Master Degree or equivalentEngineering: Master Degree or equivalentOther: Master Degree or equivalent
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REQUIRED LANGUAGESENGLISH: Excellent
Skills/Qualifications
- Excellent English and Spanish language and communication skills (speaking, listening, reading and writing). Fluency in French and/or Portuguese will be considered as a plus.
- Motivation to pursue a PhD, work independently and collaborate and engage within the international network.
- Willingness to relocate and reside in two different countries and to travel for secondments, training and project meetings.
Specific Requirements
- Knowledge of numerical computing software (Matlab, statistical treatment of data, R, etc) and control software equipment (Apps, communications, etc) is desirable
- Knowledge of data and image description and processing is desirable.
EURAXESS offer ID: 618514
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