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{
"url": [
"https://ec.europa.eu/info/funding-tenders/opportunities/portal/screen/opportunities/competitive-calls-cs/46214053"
],
"type": [
"8"
],
"title": [
"Specialised education programmes in key capacity areas"
],
"budget": [
"120000"
],
"caName": [
"Gnomon Internships Offer"
],
"ccm2Id": [
"46214053"
],
"status": [
"31094502"
],
"duration": [
"4 months (640 hours)"
],
"esST_URL": [
"https://ec.europa.eu/info/funding-tenders/opportunities/portal/screen/opportunities/competitive-calls-cs/46214053"
],
"language": [
"en"
],
"REFERENCE": [
"11145COMPETITIVE_CALLen"
],
"callTitle": [
"Gnomon Internships Offer"
],
"projectId": [
"101190010"
],
"startDate": [
"2025-06-30T00:00:00.000+0000"
],
"DATASOURCE": [
"SEDIA"
],
"callccm2Id": [
"11145"
],
"es_Combine": [
"1"
],
"identifier": [
"DIGITAL-2023-SKILLS-05-SPECIALEDU"
],
"sortStatus": [
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],
"closingDate": [
"2026-05-19T00:00:00Z"
],
"description": [
"<p>Within the framework of the SUSA project, two partners—<strong>METU</strong> and <strong>GNOMON Informatics SA </strong>—will offer internships to degree program students. Below is a consolidated explanation of the criteria, procedures, and financial mechanisms that will govern the provision of third-party financial support related to these internships.</p><p>For <strong>GNOMON</strong>, the <strong>maximum amount of financial support</strong> is set at <strong>€1,500 per month of internship</strong>, calculated based on an estimated structure of <strong>20 internships with a 4-month duration each</strong>.</p><ol><li data-list=\"bullet\"><span class=\"ql-ui\" contenteditable=\"false\"></span>In cases where internships are implemented with a shorter duration than four months, the remaining budget may be reallocated to fund additional internship placements, until the total allocated amount has been fully utilized.</li></ol><p><strong><em>Basis for Financial Calculation</em></strong><em> </em></p><ol><li data-list=\"bullet\"><span class=\"ql-ui\" contenteditable=\"false\"></span>GNOMON’s amount is based on a combination of the <strong>company’s standard cost model for internships</strong> and the <strong>actual licensing cost</strong> of the software platform used in SUSA’s shared learning experiences. </li></ol><p>For both METU and GNOMON, internships must be aligned with the <strong>thematic focus of the SUSA project</strong>, including but not limited to: </p><ol><li data-list=\"bullet\"><span class=\"ql-ui\" contenteditable=\"false\"></span>Digital health and healthcare innovation </li><li data-list=\"bullet\"><span class=\"ql-ui\" contenteditable=\"false\"></span>Health data management and interoperability </li><li data-list=\"bullet\"><span class=\"ql-ui\" contenteditable=\"false\"></span>Artificial intelligence applications in healthcare </li><li data-list=\"bullet\"><span class=\"ql-ui\" contenteditable=\"false\"></span>Advanced digital skills development and practical application of SUSA educational content </li></ol><p><strong><em>Eligible Participants</em></strong><em> </em></p><p>Internship positions will be open to <strong>students enrolled in degree programs</strong>, with a focus on engineering and health-related disciplines that are relevant to the SUSA learning objectives. </p><p><em>This call (as well as the financial support that will be provided through it) is NOT an EU action. This call is launched solely by Gnomon Informatics SA (Gnomon) . The financial support to the selected successful applicants will be provided </em><strong><em>directly</em></strong><em> by Gnomon </em><strong><em>in its own name</em></strong><em> and </em><strong><em>under its own responsibility</em></strong><em>. Gnomon’s own responsibility includes the preparation and drafting of this call as well as the selection of successful applicants that will receive the said financial support. The publication of this call in the EU Funding & Tenders Portal is made solely for information purposes with the aim to increase the visibility of this call to the general public, including to potential applicants (i.e. students). The said publication shall not be construed as direct or indirect approval of the content and conditions of this call by the relevant EU authorities or as any form of waiver from the above-described responsibility of Gnomon.</em> </p><p><br></p><p>To align with academic cycles and optimize visibility, <strong>seven internship calls</strong> are planned throughout the project. Announcement will be published on June 2025 <strong>before the start of the Fall 2025 - 2026 academic semester with the following cutoff dates: </strong> </p><ol><li data-list=\"bullet\"><span class=\"ql-ui\" contenteditable=\"false\"></span>September 2025 </li><li data-list=\"bullet\"><span class=\"ql-ui\" contenteditable=\"false\"></span>January 2026 </li><li data-list=\"bullet\"><span class=\"ql-ui\" contenteditable=\"false\"></span>September 2026 </li><li data-list=\"bullet\"><span class=\"ql-ui\" contenteditable=\"false\"></span>January 2027 </li><li data-list=\"bullet\"><span class=\"ql-ui\" contenteditable=\"false\"></span>September 2027 </li><li data-list=\"bullet\"><span class=\"ql-ui\" contenteditable=\"false\"></span>January 2028 </li><li data-list=\"bullet\"><span class=\"ql-ui\" contenteditable=\"false\"></span>September 2028 </li></ol>"
],
"es_SortDate": [
"2025-06-30T00:00:00.000+0000"
],
"projectName": [
"Sustainable Healthcare with Digital Health Data Competence"
],
"deadlineDate": [
"2025-09-02T04:59:00.000+0000",
"2026-01-03T04:59:00.000+0000",
"2026-09-02T04:59:00.000+0000",
"2027-01-03T04:59:00.000+0000",
"2027-09-02T04:59:00.000+0000",
"2028-01-03T04:59:00.000+0000",
"2028-09-02T04:59:00.000+0000"
],
"deadlineModel": [
"multiple cut-off"
],
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"file.txt"
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"A1164BA6196AF985CCF1E697500C158D516DA43A9C506256C9E7D20986761D9C"
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"esDA_QueueDate": [
"2026-05-19T13:58:04.113+0200"
],
"es_ContentType": [
"text/plain"
],
"projectAcronym": [
"SUSA"
],
"esDA_IngestDate": [
"2026-05-19T13:58:04.128+0200"
],
"programmePeriod": [
"2021 - 2027"
],
"destinationDetails": [
"<p><strong>GNOMON</strong> will apply its <strong>internal internship recruitment framework</strong>, ensuring that <strong>all candidates are treated fairly and equally</strong> during selection and placement processes. Special attention will be given to <strong>diversity, equity, and inclusion (DEI)</strong>, including gender and socio-economic background.</p><p>The selection of candidates will be carried out based on the following transparent and merit-based criteria:</p><ol><li data-list=\"bullet\"><span class=\"ql-ui\" contenteditable=\"false\"></span>Relevance of academic background to the topic of the internship - 50%</li><li data-list=\"bullet\"><span class=\"ql-ui\" contenteditable=\"false\"></span>Basic technical or analytical skills where applicable (e.g., familiarity with digital tools or healthcare systems) - 40%</li><li data-list=\"bullet\"><span class=\"ql-ui\" contenteditable=\"false\"></span>Motivation and interest as expressed in the cover letter - 10%</li></ol><p>All applications will be reviewed by the hosting organization. Equal opportunities and non-discrimination principles will be strictly respected throughout the process.</p>"
],
"frameworkProgramme": [
"43152860"
],
"furtherInformation": [
"<p class=\"ql-align-center\"><strong>INTERNSHIP OPPORTUNITY</strong></p><p class=\"ql-align-center\"><em>Empowering Future Healthcare and Engineering Professionals through Digital Health Innovation</em></p><p><strong>TITLE OF INTERNSHIP:</strong></p><p><strong>Digital Health & AI Internships at Gnomon Informatics</strong></p><p><strong>LOCATION:</strong></p><p>Remote (Virtual) or On-Site at Gnomon Informatics SA Offices </p><p><strong>DURATION:</strong> </p><p>4 months </p><p><strong>ELIGIBLE CANDIDATES:</strong> </p><p>Medical, Engineering and Biomedical - Bioinformatics Students (BSc/MSc) </p><p><strong>OVERVIEW</strong> </p><p>Gnomon Informatics SA, a leading informatics company specializing in digital health solutions, is offering internship opportunities for students interested in Artificial Intelligence (AI), Data Science, and Digital Health Technologies. This internship provides hands-on experience with <strong>eHealthPass</strong>, a certified patient-centered platform for remote patient monitoring, which includes <strong>a mobile app for patients and a web application for healthcare professionals</strong>. eHealthPass is a solution for remote care, virtual care and hospital at home, as well as communication and patient empowerment tool, putting patient in the middle and allowing patient to become stakeholder in own care instead of being mere subject of care. Behind eHealthPass there is also the <strong>eHealthPass.CDR</strong>, a platform providing and enabling HIE (Health Information Exchange) – complete lifecycle management of structured and unstructured clinical documents and clinical data, and their secure sharing/exchange. </p><p>Interns will contribute to AI development, <strong>data quality enhancement</strong>, and <strong>predictive analytics in healthcare</strong>, gaining invaluable experience in a <strong>multidisciplinary setting</strong>. </p><p> </p><p><strong>INTERNSHIP TRACKS</strong> </p><p><strong>1. Medical Students – AI and Digital Health Applications</strong> </p><ol><li data-list=\"bullet\"><span class=\"ql-ui\" contenteditable=\"false\"></span>Assisting in <strong>training AI models</strong> by feeding them with structured and unstructured medical data. </li><li data-list=\"bullet\"><span class=\"ql-ui\" contenteditable=\"false\"></span>Understanding and improving <strong>AI-assisted decision support tools</strong> for clinical applications. </li><li data-list=\"bullet\"><span class=\"ql-ui\" contenteditable=\"false\"></span>Exploring ways to <strong>generate customized outcomes and predictions</strong> for individual patients. </li><li data-list=\"bullet\"><span class=\"ql-ui\" contenteditable=\"false\"></span>Medical file structures and content (questionnaires, educational and other materials) </li><li data-list=\"bullet\"><span class=\"ql-ui\" contenteditable=\"false\"></span>Usability of the product </li></ol><p><strong>2. Engineering & Data Science Students – Data & AI Optimization</strong> </p><ol><li data-list=\"bullet\"><span class=\"ql-ui\" contenteditable=\"false\"></span>Contributing to <strong>data quality assessment</strong> and enhancing <strong>data mesh architecture</strong>. </li><li data-list=\"bullet\"><span class=\"ql-ui\" contenteditable=\"false\"></span>Developing and testing <strong>AI tools</strong> for predictive analytics and patient monitoring. </li><li data-list=\"bullet\"><span class=\"ql-ui\" contenteditable=\"false\"></span>Exploring <strong>interoperability challenges</strong> in digital health using <strong>HL7 FHIR and other HL7 standards (HL7v2 messages, HL7 CDA)</strong>. </li><li data-list=\"bullet\"><span class=\"ql-ui\" contenteditable=\"false\"></span>Assisting in <strong>data visualization techniques</strong> to support decision-making for healthcare providers <strong>(UX/UI for HealthTech)</strong> </li></ol><p><strong>3. Bioinformatics/ Biomedical Students – Clinical Data </strong> </p><ol><li data-list=\"bullet\"><span class=\"ql-ui\" contenteditable=\"false\"></span>Clinical data model and governance </li><li data-list=\"bullet\"><span class=\"ql-ui\" contenteditable=\"false\"></span>Terminology management </li><li data-list=\"bullet\"><span class=\"ql-ui\" contenteditable=\"false\"></span>GDPR & EHDS issues </li><li data-list=\"bullet\"><span class=\"ql-ui\" contenteditable=\"false\"></span>eHealthPass use cases validation & scenarios </li></ol><p> </p><p><strong>DELIVERY MODE & WORK ENVIRONMENT</strong> </p><ol><li data-list=\"bullet\"><span class=\"ql-ui\" contenteditable=\"false\"></span><strong>Virtual Internships</strong>: A cost-effective alternative allowing students to work remotely while accessing Gnomon’s digital infrastructure. </li><li data-list=\"bullet\"><span class=\"ql-ui\" contenteditable=\"false\"></span><strong>On-Site Internships</strong>: Available at our company headquarters for students who prefer in-person collaboration. </li><li data-list=\"bullet\"><span class=\"ql-ui\" contenteditable=\"false\"></span><strong>Hybrid Approach</strong>: Combining remote and on-site work for flexibility. </li></ol><p>Interns will work in <strong>small interdisciplinary teams</strong> under the guidance of <strong>mentors and domain experts</strong>, engaging in <strong>collaborative research and development</strong>. </p><p><strong>WHAT YOU WILL WORK ON</strong> </p><ol><li data-list=\"bullet\"><span class=\"ql-ui\" contenteditable=\"false\"></span><strong>Healthcare Interoperability: </strong>Learn and apply standards like FHIR, HL7, and IHE XDS. </li><li data-list=\"bullet\"><span class=\"ql-ui\" contenteditable=\"false\"></span><strong>Artificial Intelligence: </strong>Participate in AI-powered solutions for clinical decision support, health record processing, and document classification<strong>.</strong> </li><li data-list=\"bullet\"><span class=\"ql-ui\" contenteditable=\"false\"></span><strong>Software Development: </strong>Collaborate in real projects, using Java, Spring Boot, Python, APIs, and cloud platforms (Azure, AWS). </li><li data-list=\"bullet\"><span class=\"ql-ui\" contenteditable=\"false\"></span><strong>Medical Data Processing: </strong>Work with EHR systems, patient summaries, and secure document exchanges </li><li data-list=\"bullet\"><span class=\"ql-ui\" contenteditable=\"false\"></span><strong>R&D Projects: </strong>Contribute to European Research Projects and pilot implementations in real healthcare settings. </li></ol><p><strong>TECHNOLOGIES YOU’LL USE </strong> </p><ol><li data-list=\"bullet\"><span class=\"ql-ui\" contenteditable=\"false\"></span>Java/ Spring Boot/ Python </li><li data-list=\"bullet\"><span class=\"ql-ui\" contenteditable=\"false\"></span>FHIR/ HL7/ IHE </li><li data-list=\"bullet\"><span class=\"ql-ui\" contenteditable=\"false\"></span>Azure/ AWS/ Docker/ Kubernetes </li><li data-list=\"bullet\"><span class=\"ql-ui\" contenteditable=\"false\"></span>AI Models/ Prompt Engineering/ LLMs </li></ol><p><strong>WHAT WE EXPECT FROM YOU </strong> </p><ol><li data-list=\"bullet\"><span class=\"ql-ui\" contenteditable=\"false\"></span>Curiosity and willingness to learn </li><li data-list=\"bullet\"><span class=\"ql-ui\" contenteditable=\"false\"></span>Basic programming knowledge (preferably Jana or Python) </li><li data-list=\"bullet\"><span class=\"ql-ui\" contenteditable=\"false\"></span>Interest in healthcare or AI </li><li data-list=\"bullet\"><span class=\"ql-ui\" contenteditable=\"false\"></span>Teamwork skills </li></ol><p> </p><p><strong>LEARNING OUTCOMES</strong> </p><p>Upon completion, interns will: </p><p>✅ Gain <strong>practical experience</strong> in digital health platforms and AI integration. </p><p>✅ Understand <strong>data governance, privacy regulations (GDPR), and interoperability</strong>. </p><p>✅ Develop <strong>hands-on skills in data science, machine learning, and healthcare informatics</strong>. </p><p>✅ Enhance <strong>problem-solving and critical thinking abilities</strong> in a real-world healthcare environment. </p><p> </p><p><strong>ASSESSMENT & CERTIFICATION</strong> </p><ol><li data-list=\"bullet\"><span class=\"ql-ui\" contenteditable=\"false\"></span>Completion of assigned tasks and <strong>active participation in projects</strong>. </li><li data-list=\"bullet\"><span class=\"ql-ui\" contenteditable=\"false\"></span>Development of a <strong>mini research report</strong> or <strong>technical presentation</strong> at the end of the internship. </li><li data-list=\"bullet\"><span class=\"ql-ui\" contenteditable=\"false\"></span>Issuance of an <strong>Internship Certificate by Gnomon Informatics SA</strong>, potentially co-branded with academic institutions. </li></ol><p> </p><p><strong>APPLICATION PROCESS</strong> </p><p>Interested students should submit: </p><p>📌 <strong>A short CV</strong> highlighting relevant skills and background. </p><p>📌 <strong>A brief motivation letter</strong> (max. 1 page) explaining their interest in the internship and preferred track (Medical or Engineering). </p><p>📩 <strong>Applications should be sent to:</strong> a.karabatea@gnomon.com.gr with the subject: </p><p><strong>“Digital Health Internship Application – [Your Name]”</strong> </p><p>For more details, visit contact a.karabatea@gnomon.com.gr . </p><p>This internship offers a unique opportunity to fill the gap between foundational academic knowledge and the practical, industry-ready skills required to excel in the rapidly evolving landscape of data-driven digital health. </p><p>Financial support will be available to facilitate student mobility. SUSA students will have access to internship opportunities offered by both consortium members and affiliated ecosystem partners. The selection criteria for these internships will be developed collaboratively through a co-design process and will incorporate Diversity, Equity, and Inclusion (DEI) principles, with particular attention to gender and the socio-economic background of applicants.</p><p>Student exchanges between Higher Education Institutions (HEIs) will be further supported through a structured and mentored Erasmus+ mobility initiative. To assist students in planning their mobility paths, joint SUSA learning activities will be organized. Additionally, the SUSA Virtual Academy will host a dedicated matchmaking platform, enabling students and teachers to explore internship opportunities and allowing healthcare ecosystem stakeholders to promote openings and connect with emerging talent.</p>"
],
"esDA_FirstIngestDate": [
"2025-06-27T10:12:27.394+0200"
],
"beneficiaryAdministration": [
"<p><strong>GNOMON</strong> will apply its <strong>internal internship recruitment framework</strong>, ensuring that <strong>all candidates are treated fairly and equally</strong> during selection and placement processes. Special attention will be given to <strong>diversity, equity, and inclusion (DEI)</strong>, including gender and socio-economic background.</p><p>The selection of candidates will be carried out based on the following transparent and merit-based criteria:</p><ol><li data-list=\"bullet\"><span class=\"ql-ui\" contenteditable=\"false\"></span>Relevance of academic background to the topic of the internship - 50%</li><li data-list=\"bullet\"><span class=\"ql-ui\" contenteditable=\"false\"></span>Basic technical or analytical skills where applicable (e.g., familiarity with digital tools or healthcare systems) - 40%</li><li data-list=\"bullet\"><span class=\"ql-ui\" contenteditable=\"false\"></span>Motivation and interest as expressed in the cover letter - 10%</li></ol><p>All applications will be reviewed by the hosting organization. Equal opportunities and non-discrimination principles will be strictly respected throughout the process.</p>"
]
}