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- Aufgaben: Explore machine learning applications in real-time dose verification for proton therapy.
- Arbeitgeber: Join the Fraunhofer Institute, a leader in smart systems and innovative technologies.
- Mitarbeitervorteile: Gain hands-on experience in cutting-edge research with an international team.
- Warum dieser Job: Work at the intersection of healthcare, technology, and data science on impactful projects.
- Gewünschte Qualifikationen: Must have programming skills in Python and some experience with AI and machine learning.
- Andere Informationen: Open to students in Chemnitz, Mittweida, or nearby areas; diverse applicants encouraged.
The particular strength of the Fraunhofer Institute for Electronic Nano Systems ENAS lies in the development of smart systems – so-called intelligent systems for various applications. The systems combine electronic components, micro and nano sensors and actuators with interfaces for communication. Fraunhofer ENAS develops individual components, the technologies for their production as well as system concepts and system integration technologies and transfers them into practical use. Fraunhofer ENAS accompanies customer projects from the idea to the design, technology development or implementation using existing technologies, right through to the tested prototype.
The Data-based Methods team at Fraunhofer ENAS develops real-world applications using AI, machine learning and computer vision. The main focus is on semiconductor manufacturing and medical technology.
Are you passionate about cutting-edge research at the intersection of healthcare, technology and data science? Join our team in European projects and work in an international team of experts from different disciplines such as proton therapy, computer science, applied mathematics, detector physics and medical physics.
We are currently looking for students for Master’s theses, internships and student assistants . We can discuss our ideas together to find the right job for you.
What You Bring To The Table
- You already have some practical experience with AI and machine learning algorithms? Then you’ve come to the right place.
- Excellent programming skills (preferably in Python) are required.
- A strong interest in interdisciplinary work at the intersection of medical engineering, physics, mathematics and data science is essential.
- Still studying in Chemnitz, Mittweida or the surrounding area.
- A grade point average of (insert minimum GPA here).
We value and promote the diversity of our employees‘ skills and therefore welcome all applications – regardless of age, gender, nationality, ethnic and social origin, religion, ideology, disability, sexual orientation and identity. Severely disabled persons are given preference in the event of equal suitability.
With its focus on developing key technologies that are vital for the future and enabling the commercial utilization of this work by business and industry, Fraunhofer plays a central role in the innovation process. As a pioneer and catalyst for groundbreaking developments and scientific excellence, Fraunhofer helps shape society now and in the future.
Interested? Apply online now. We look forward to getting to know you!
Dr. Jan Langer will be happy to answer any questions you may have about the position. Please submit your questions here via our recruiting portal.
Fraunhofer Institute for Electronic Nano Systems ENAS
Requisition Number: 73204
Application Deadline: 12/31/2024
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Students: Exploring Machine Learning Applications in Real-Time Dose Verification for Proton Therapy Arbeitgeber: Fraunhofer Karriere
Kontaktperson:
Fraunhofer Karriere HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Students: Exploring Machine Learning Applications in Real-Time Dose Verification for Proton Therapy
✨Tip Number 1
Familiarize yourself with the latest advancements in AI and machine learning, especially as they relate to medical technology. This will not only enhance your understanding but also show your genuine interest during discussions with the team.
✨Tip Number 2
Engage with online communities or forums focused on proton therapy and machine learning applications. Networking with professionals in these fields can provide valuable insights and potentially lead to recommendations.
✨Tip Number 3
Consider working on personal projects or contributing to open-source projects that involve Python programming and machine learning. This practical experience can be a great talking point during interviews.
✨Tip Number 4
Prepare thoughtful questions about the projects at Fraunhofer ENAS, particularly those related to interdisciplinary work. This demonstrates your enthusiasm and readiness to contribute to their innovative environment.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Students: Exploring Machine Learning Applications in Real-Time Dose Verification for Proton Therapy
Tipps für deine Bewerbung 🫡
Understand the Role: Make sure to thoroughly read the job description and understand the specific requirements and expectations for the position. Highlight your relevant experience with AI and machine learning algorithms.
Tailor Your CV: Customize your CV to emphasize your programming skills, particularly in Python, and any practical experience you have in interdisciplinary work related to medical engineering, physics, or data science.
Craft a Strong Cover Letter: Write a compelling cover letter that showcases your passion for cutting-edge research and your interest in the intersection of healthcare and technology. Mention specific projects or experiences that align with the role.
Submit Your Application: Once your documents are ready, submit your application through the Fraunhofer recruiting portal. Ensure all information is accurate and complete before hitting the submit button.
Wie du dich auf ein Vorstellungsgespräch bei Fraunhofer Karriere vorbereitest
✨Show Your Passion for Interdisciplinary Work
Make sure to express your enthusiasm for working at the intersection of medical engineering, physics, mathematics, and data science. Share any relevant experiences or projects that highlight your interest in these fields.
✨Demonstrate Your Programming Skills
Since excellent programming skills in Python are required, be prepared to discuss your experience with Python and any AI or machine learning algorithms you've worked with. Consider bringing examples of your code or projects to showcase your abilities.
✨Prepare Questions About the Role
Show your interest in the position by preparing thoughtful questions about the projects you might work on, the team dynamics, and how your role fits into the larger goals of Fraunhofer ENAS. This demonstrates your proactive attitude and eagerness to contribute.
✨Highlight Your Practical Experience
If you have practical experience with AI and machine learning algorithms, be ready to discuss specific projects or challenges you've faced. Highlight how these experiences have prepared you for the role and how you can bring value to the team.
