Internship /Praktikum – Computer Vision, Machine Learning & Medical Navigat at Stryker - Poland

Freiburg im Breisgau, Baden-Württemberg, Germany -

Full Time

Start Date

Immediate

Expiry Date

30 May, 26

Salary

0.0

Posted On

01 Mar, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Computer Vision, Machine Learning, Deep Learning, Prototyping, Algorithm Development, Medical Navigation, Image Analysis, Data Analysis, Python, OpenCV, PyTorch, Sensing Technologies, English

Industry

Medical Equipment Manufacturing

Description

Work Flexibility: Not available Bei Stryker ist jede Rolle entscheidend für unsere Mission, die Gesundheitsversorgung zu verbessern. Unser kollaboratives Umfeld fördert Wachstum und Chancen und stellt sicher, dass jedes Teammitglied in der Lage ist, zu unserem gemeinsamen Ziel beizutragen. Werde Teil des Teams und setze dich dafür ein, die Gesundheitsversorgung für alle und überall zu verbessern. In deinem Praktikum bei einem international führenden Medizintechnikunternehmen bist du mittendrin statt nur dabei: Du unterstützt unser Machine-Vision-Team bei innovativen Projekten, vertiefst dein Fachwissen und sammelst praxisnahe Erfahrungen, die dich fachlich und persönlich weiterbringen. Unser Angebot an dich Du entwickelst gerne Prototypen und Algorithmen im Bereich Machine Vision und Machine Learning? Als Teil unseres Entwicklungsteams hast du die Chance genau dies im Bereich medizinischer Navigation zu tun. Du wendest Computer Vision und Deep Learning Techniken an, um innovative Lösungen zu entwickeln, die für Anwendungsfälle in der computergestützten Chirurgie eingesetzt werden können. Das zeichnet dich aus Du studierst Elektrotechnik, Mikrosystemtechnik, Physik, Informatik, Medizintechnik oder einen vergleichbaren Masterstudiengang. Du hast erste Erfahrungen in der Bild- und Datenanalyse und der Entwicklung von Programmen im Bereich Machine Vision und Machine Learning gesammelt. Du bist sicher in Python und hast bereits erste Erfahrungen mit CV & DL Bibliotheken (z.B. OpenCV, PyTorch) gesammelt. Du bist gespannt darauf, anspruchsvolle Aufgaben im Bereich Sensing Technologies selbstständig zu bearbeiten. Du verfügst über sehr gute Englischkenntnisse. Bei deinen Freunden und Kommilitonen bist du für deine Eigeninitiative, Zuverlässigkeit und schnelle Auffassungsgabe bekannt. Dauer deines Praktikums: 6 Monate (Vollzeit) Art deines Praktikums: Wir bieten freiwillige studienbegleitende Praktika und Pflichtpraktika/Praxissemester sowie die Kombination aus beiden an. Dein Start bei uns: September oder Oktober 2026 Dein Arbeitsort: Freiburg (im Breisgau) Das erwartet dich: Faire Bezahlung, Urlaub, spannende Trainings & persönliches Mentoring und flexible Arbeitszeiten. Vielfalt ist uns wichtig. Wir freuen uns über Bewerbungen von Menschen ungeachtet ihrer ethnischen, nationalen oder sozialen Herkunft, des Geschlechts, einer Behinderung, des Alters oder ihrer sexuellen Identität. Wir freuen uns auf deine Bewerbung! Bitte füge alle relevanten Unterlagen (Anschreiben, Lebenslauf und Notenspiegel) bei und lade sie direkt im „Lebenslauf“-Abschnitt des Bewerbungsformulars hoch. Wenn deine Bewerbung erfolgreich war, führen wir zunächst ein kurzes Telefoninterview mit unserem University Talent Acquisition Team durch. Wenn alles passt, folgt ein einstündiges Videointerview mit dem Fachbereich. Danach melden wir uns mit einem abschließenden Feedback bei dir. ------------------------------- At Stryker, every role is vital to our mission to make healthcare better. Our collaborative environment champions growth and opportunity, ensuring that every member of our team is equipped to contribute to our collective goal. Join us and be at the forefront of making healthcare better for everyone, everywhere. In your internship at a globally leading medical technology company, you’ll be right in the middle of the action: you will support our Machine Vision team in innovative projects, deepen your expertise, and gain practical experience that will help you grow both professionally and personally. Our offer to you Do you enjoy developing prototypes and algorithms in the field of machine vision and machine learning? As part of our development team, you will have the opportunity to do just that in the field of medical navigation. You will apply computer vision and deep learning techniques to develop innovative solutions that can be used for applications in robot-assisted surgery. What makes you stand out You are studying electrical engineering, microsystems engineering, physics, computer science, medical technology or a comparable master's degree. You have gained initial experience in image and data analysis and in developing machine vision and machine learning programmes. You are proficient in Python and have already gained initial experience with CV & DL libraries (e.g. OpenCV, PyTorch). You are eager to work independently on challenging tasks in the field of sensing technologies. You have a very good knowledge of English. You are known among your friends and fellow students for your initiative, reliability and quick thinking. Duration of your internship: 6 months (full-time) Type of internship: We offer voluntary internships alongside your studies, compulsory internships/practical semesters, and a combination of both When you start with us: September or October 2026 Where you will work: Freiburg (Breisgau) What you can expect: Fair pay, holiday entitlement, exciting training and personal mentoring, and flexible working hours. Diversity is important to us. We welcome applications from people regardless of their ethnic, national or social origin, gender, disability, age or sexual identity. We’re excited to receive your application! Please include all relevant documents (cover letter, CV, and transcript of records) and upload them directly under the “CV” section of the application form. If your application is successful, we will first conduct a short telephone interview with our University Talent Acquisition Team. If everything fits, this will be followed by a one-hour video interview with the department. We will then get back to you with final feedback. Travel Percentage: None Stryker is one of the world’s leading medical technology companies and, together with its customers, is driven to make healthcare better. We offer innovative products and services in Orthopaedics, Medical and Surgical, and Neurotechnology and Spine that help improve patient and hospital outcomes. We are proud to be named one of the World’s Best Workplaces! For more information, visit: www.stryker.com Work Flexibility Remote – Role allows you to work the majority to 100% of time from an alternate workplace. These roles could have travel expectations, and you must work within the country of the job requisition location. Field-based – You can expect to regularly work a majority to 100% of time at customer facilities and has a set territory or expectation to travel within a set boundary. Almost all sales roles would likely be qualified as field-based. Onsite – Role is 100% located at a Stryker facility. Some ad hoc flexibility may be available depending on role, level, and job requirements. Manufacturing roles and any role that requires physical presence at the office would qualify under this category. Hybrid – You can expect to regularly work in both an alternate workplace and a Stryker facility. Roles that are partially remote or co-located would qualify as hybrid, and the expectation to be onsite would be defined and agreed upon by your manager/supervisor.

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Responsibilities

The intern will support the Machine Vision team on innovative projects, developing prototypes and algorithms in the field of machine vision and machine learning for medical navigation applications. This involves applying computer vision and deep learning techniques to create solutions usable in computer-assisted surgery.