Deep Learning Intern

Position Summary
We are seeking a highly motivated Deep Learning Research Intern to join our team. As an intern, you
will work closely with our deep learning engineers to develop AI models for ophthalmic image analysis.

This role will provide you with the opportunity to explore advanced machine learning techniques, inclu-
ding foundational models and self-supervised learning, and contribute to real-world applications in me-
dical imaging. We particularly welcome candidates who are available for an internship placement wit-
hout a thesis combination.

Company Portrait
Icare Finland Oy is a part of Revenio Group Corporation, a public medtech company listed on the Hel-
sinki Stock Exchange. With our brand iCare we are a trusted partner in ophthalmic diagnostics, offering

physicians fast, easy-to-use, and reliable tools for diagnosis of glaucoma, diabetic retinopathy, and
macular degeneration. Our devices cover automated fundus imaging systems, perimeters, and
handheld rebound tonometers for human eyes. Our product assortment also includes IOP measuring
devices for veterinary use. iCare Solutions provide digital clinical tools that drive greater efficiency and
enhance quality in eye care.

Key Responsibilities

• Conduct a literature research to assess state-of-the-art practices
• Work with large-scale ophthalmic imaging datasets, implementing self-supervised learning algo-
  rithms
• Evaluate the impact of different training paradigms, data, and model architectures on down-
  stream tasks
• In collaboration with other deep learning and DevOps engineers, set up pipelines using Kube-
  flow, ensuring reproducibility and scalability of experiments.

Qualifications & Experiences

• Educational Background
  • Currently pursuing or recently completed a Bachelor or Master in Computer Science,
    Electrical Engineering, Biomedical Engineering, or a related field, with a focus on deep
    learning, machine learning, or computer vision.
• Technical Skills:
  • Proficient in Python with experience in deep learning frameworks, preferably
    TensorFlow.
  • Solid understanding of deep learning concept
  • Skilled in critically analysing research papers
  • Experience in evaluating model performance
• Soft Skills:
  • Strong problem-solving abilities, capable of working both independently and
    collaboratively.
  • Effective communicator, able to explain technical concepts to non-experts and engage
    with clinical or DevOps experts.
  • Eager to learn new technologies and apply them to healthcare challenges
• Preferred Qualifications:
  • Experience in medical imaging, particularly ophthalmology.
  • Familiarity with machine learning pipeline management tools like Kubeflow.
  • Experience working with large-scale image datasets and preprocessing techniques.
  • Relevant experience with project-specific topics

Selection Process

• Application screening
• Conversational interview
• Live coding session

Internship Details

• Flexible Start date: June 2026
• Duration of internship: 4-6 Months
• Preferred: internship placement (not combined with thesis writing)
• Minimum days per week: 3
• Location: Toernooiveld 300, 6525 EC, Nijmegen with potentially 1-2 days per week remote
• Contact person: Johanna Ott (johanna.ott@icare-world.com), Mark van Grinsven
  (mark.vangrinsven@icare-world.com)