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- Aufgaben: Support R&D in computer vision and data analysis projects, implementing algorithms and developing solutions.
- Arbeitgeber: Join a forward-thinking company focused on safer, cleaner vehicles and innovative technologies.
- Mitarbeitervorteile: Enjoy flexible hours, hybrid work options, and potential career opportunities post-studies.
- Warum dieser Job: Be part of an international team shaping the future of mobility with cutting-edge technology.
- Gewünschte Qualifikationen: Experience in computer vision and deep learning; Python skills required; ongoing studies in relevant fields preferred.
- Andere Informationen: Ideal for proactive students looking for a long-term commitment in a dynamic environment.
Jobnummer: R00176058 Standort: Graz Working Student Computer Vision (m/f/d) We see a future where everyone can live and move without limitations. That\’s why we are developing technologies, systems and concepts that make vehicles safer and cleaner, while serving our communities, the planet and, above all, people. In the right environment, your ideas can turn into industry-changing automotive technologies and improve the lives of people around the world. Let\’s create the future of mobility, together. About the Role We are looking for a Working Student for Computer Vision (m/f/d) for 15-25 hours per week to support the Corporate R&D Advanced Manufacturing Innovations team in Graz.You will be working in the Data Analytics, Simulation and IoT group as part of an international team, cooperatively working on computer vision and data analysis projects. Your Responsibilities * Comprehensive literature reviews focused on deep learning. * Implementation of algorithms based on scientific publications and their application in manufacturing environment. * Development of novel methods and solutions. * Documentation of performed work. * Assistance with additional tasks. Who we are looking for * Experience: Proven experience in computer vision and machine learning, with a strong emphasis on deep learning techniques. Experience in manufacturing is a plus. * Research Enthusiast: A keen interest in keeping up to date with the latest research developments. * Technical Skills: Solid skills in Python programming, with extensive experience in libraries such as PyTorch, NumPy, and OpenCV. * Language Proficiency: Fluent in English. Proficiency in German is a plus. * Work Style: An analytical and structured approach to problem-solving and project work. * Personal Qualities: Proactive and responsible, with the ability to take initiative and work independently. Your preferred qualifications * Completed or well-advanced bachelor\’s degree and possibly ongoing master\’s degree in the field of artificial intelligence, computer vision, computer science, mathematics, or a similar area. * Interest in a long-term commitment (1 year) Work Environment * Flexible working hours: Whether it\’s an exam period or semester break, you can arrange your working hours flexibly with us. * Enjoy working collaboratively on a cross-functional, global team * Entry into a professional career: If a suitable position is available, we are always happy to enable our working students to enter a professional career after completing their studies. * Regular office environment with hybrid work opportunities * We offer a gross salary of EUR 2.115,- per month for 38.5 hours per week (this position is part-time between 15 and 25 hours a week). Bewerben
Working Student Computer Vision (m/f/d) (m/w/d) Arbeitgeber: Magna
Kontaktperson:
Magna HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Working Student Computer Vision (m/f/d) (m/w/d)
✨Tip Number 1
Make sure to showcase your experience in computer vision and deep learning during the interview. Be prepared to discuss specific projects you've worked on, especially those involving Python and relevant libraries like PyTorch and OpenCV.
✨Tip Number 2
Stay updated on the latest research developments in deep learning and computer vision. Mentioning recent advancements or publications during your conversation can demonstrate your enthusiasm and commitment to the field.
✨Tip Number 3
Highlight your analytical and structured approach to problem-solving. Prepare examples of how you've tackled complex problems in past projects, as this aligns with the work style they are looking for.
✨Tip Number 4
Express your interest in a long-term commitment. Since they prefer candidates who are looking for a position lasting at least a year, make sure to communicate your willingness to grow with the company and contribute to their projects over time.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Working Student Computer Vision (m/f/d) (m/w/d)
Tipps für deine Bewerbung 🫡
Understand the Role: Make sure to thoroughly read the job description for the Working Student position in Computer Vision. Understand the responsibilities and required skills, especially focusing on deep learning and computer vision.
Highlight Relevant Experience: In your application, emphasize any previous experience you have with computer vision, machine learning, and programming in Python. Mention specific projects or coursework that align with the job requirements.
Show Your Passion for Research: Express your enthusiasm for keeping up with the latest research developments in computer vision and deep learning. You can mention any relevant literature reviews or projects you've worked on.
Tailor Your CV and Cover Letter: Customize your CV and cover letter to reflect the skills and experiences that are most relevant to this position. Use keywords from the job description to make your application stand out.
Wie du dich auf ein Vorstellungsgespräch bei Magna vorbereitest
✨Show Your Passion for Research
Make sure to express your enthusiasm for keeping up with the latest developments in computer vision and deep learning. Share any recent research papers or projects that have inspired you, as this will demonstrate your commitment to the field.
✨Highlight Your Technical Skills
Be prepared to discuss your experience with Python and relevant libraries like PyTorch, NumPy, and OpenCV. Consider bringing examples of past projects where you implemented algorithms or developed solutions, as this will showcase your practical skills.
✨Demonstrate Problem-Solving Abilities
During the interview, emphasize your analytical and structured approach to problem-solving. You might be asked to tackle a hypothetical scenario, so practice articulating your thought process clearly and logically.
✨Ask Insightful Questions
Prepare thoughtful questions about the team, projects, and company culture. This shows your genuine interest in the role and helps you assess if the environment aligns with your career goals.
