Gnomon Internships Offer

Within the framework of the SUSA project, two partners—METU and GNOMON Informatics SA —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.

For GNOMON, the maximum amount of financial support is set at €1,500 per month of internship, calculated based on an estimated structure of 20 internships with a 4-month duration each.

• 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.

Basis for Financial Calculation

• GNOMON’s amount is based on a combination of the company’s standard cost model for internships and the actual licensing cost of the software platform used in SUSA’s shared learning experiences.

For both METU and GNOMON, internships must be aligned with the thematic focus of the SUSA project, including but not limited to:

• Digital health and healthcare innovation

• Health data management and interoperability

• Artificial intelligence applications in healthcare

• Advanced digital skills development and practical application of SUSA educational content

Eligible Participants

Internship positions will be open to students enrolled in degree programs, with a focus on engineering and health-related disciplines that are relevant to the SUSA learning objectives.

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 directly by Gnomon in its own name and under its own responsibility. 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.

To align with academic cycles and optimize visibility, seven internship calls are planned throughout the project. Announcement will be published on June 2025 before the start of the Fall 2025 - 2026 academic semester with the following cutoff dates:

• September 2025

• January 2026

• September 2026

• January 2027

• September 2027

• January 2028

• September 2028

INTERNSHIP OPPORTUNITY

Empowering Future Healthcare and Engineering Professionals through Digital Health Innovation

TITLE OF INTERNSHIP:

Digital Health & AI Internships at Gnomon Informatics

LOCATION:

Remote (Virtual) or On-Site at Gnomon Informatics SA Offices

DURATION:

4 months

ELIGIBLE CANDIDATES:

Medical, Engineering and Biomedical - Bioinformatics Students (BSc/MSc)

OVERVIEW

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 eHealthPass, a certified patient-centered platform for remote patient monitoring, which includes a mobile app for patients and a web application for healthcare professionals. 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 eHealthPass.CDR, 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.

Interns will contribute to AI development, data quality enhancement, and predictive analytics in healthcare, gaining invaluable experience in a multidisciplinary setting.

INTERNSHIP TRACKS

1. Medical Students – AI and Digital Health Applications

• Assisting in training AI models by feeding them with structured and unstructured medical data.

• Understanding and improving AI-assisted decision support tools for clinical applications.

• Exploring ways to generate customized outcomes and predictions for individual patients.

• Medical file structures and content (questionnaires, educational and other materials)

• Usability of the product

2. Engineering & Data Science Students – Data & AI Optimization

• Contributing to data quality assessment and enhancing data mesh architecture.

• Developing and testing AI tools for predictive analytics and patient monitoring.

• Exploring interoperability challenges in digital health using HL7 FHIR and other HL7 standards (HL7v2 messages, HL7 CDA).

• Assisting in data visualization techniques to support decision-making for healthcare providers (UX/UI for HealthTech)

3. Bioinformatics/ Biomedical Students – Clinical Data

• Clinical data model and governance

• Terminology management

• GDPR & EHDS issues

• eHealthPass use cases validation & scenarios

DELIVERY MODE & WORK ENVIRONMENT

• Virtual Internships: A cost-effective alternative allowing students to work remotely while accessing Gnomon’s digital infrastructure.

• On-Site Internships: Available at our company headquarters for students who prefer in-person collaboration.

• Hybrid Approach: Combining remote and on-site work for flexibility.

Interns will work in small interdisciplinary teams under the guidance of mentors and domain experts, engaging in collaborative research and development.

WHAT YOU WILL WORK ON

• Healthcare Interoperability: Learn and apply standards like FHIR, HL7, and IHE XDS.

• Artificial Intelligence: Participate in AI-powered solutions for clinical decision support, health record processing, and document classification.

• Software Development: Collaborate in real projects, using Java, Spring Boot, Python, APIs, and cloud platforms (Azure, AWS).

• Medical Data Processing: Work with EHR systems, patient summaries, and secure document exchanges

• R&D Projects: Contribute to European Research Projects and pilot implementations in real healthcare settings.

TECHNOLOGIES YOU’LL USE

• Java/ Spring Boot/ Python

• FHIR/ HL7/ IHE

• Azure/ AWS/ Docker/ Kubernetes

• AI Models/ Prompt Engineering/ LLMs

WHAT WE EXPECT FROM YOU

• Curiosity and willingness to learn

• Basic programming knowledge (preferably Jana or Python)

• Interest in healthcare or AI

• Teamwork skills

LEARNING OUTCOMES

Upon completion, interns will:

✅ Gain practical experience in digital health platforms and AI integration.

✅ Understand data governance, privacy regulations (GDPR), and interoperability.

✅ Develop hands-on skills in data science, machine learning, and healthcare informatics.

✅ Enhance problem-solving and critical thinking abilities in a real-world healthcare environment.

ASSESSMENT & CERTIFICATION

• Completion of assigned tasks and active participation in projects.

• Development of a mini research report or technical presentation at the end of the internship.

• Issuance of an Internship Certificate by Gnomon Informatics SA, potentially co-branded with academic institutions.

APPLICATION PROCESS

Interested students should submit:

📌 A short CV highlighting relevant skills and background.

📌 A brief motivation letter (max. 1 page) explaining their interest in the internship and preferred track (Medical or Engineering).

📩 Applications should be sent to: a.karabatea@gnomon.com.gr with the subject:

“Digital Health Internship Application – [Your Name]”

For more details, visit contact a.karabatea@gnomon.com.gr .

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.

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.

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.