Working Student Computer Vision (m/f/d)

Posted 3 Days Ago
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Graz, Steiermark
Hybrid
Internship
Automotive • Hardware • Robotics • Software • Transportation • Manufacturing
Dream big. With Us. Let's create the future of mobility, together.
The Role
The role involves working as a Working Student in Computer Vision, supporting the R&D Advanced Manufacturing Innovations team. Responsibilities include conducting literature reviews, implementing algorithms based on research, developing new methods, documenting work, and assisting with additional tasks.
Summary Generated by Built In

What we offer:
At Magna, you can expect an engaging and dynamic environment where you can help to develop industry-leading automotive technologies. We invest in our employees, providing them with the support and resources they need to succeed. As a member of our global team, you can expect exciting, varied responsibilities as well as a wide range of development prospects. Because we believe that your career path should be as unique as you are.
Group Summary:
Magna is more than one of the world's largest suppliers in the automotive space. We are a mobility technology company built to innovate, with a global, entrepreneurial-minded team. With 65+ years of expertise, our ecosystem of interconnected products combined with our complete vehicle expertise uniquely positions us to advance mobility in an expanded transportation landscape.
Job Responsibilities:
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 € 2.115,- per month for 38.5 hours per week (this position is part-time between 15 and 25 hours a week).


Awareness, Unity, Empowerment:
At Magna, we believe that a diverse workforce is critical to our success. That's why we are proud to be an equal opportunity employer. We hire on the basis of experience and qualifications, and in consideration of job requirements, regardless of, in particular, color, ancestry, religion, gender, origin, sexual orientation, age, citizenship, marital status, disability or gender identity. Magna takes the privacy of your personal information seriously. We discourage you from sending applications via email to comply with GDPR requirements and your local Data Privacy Law.
Worker Type:
Student / Co-Op
Group:
Magna Corporate

Top Skills

Python

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The Company
HQ: Aurora, Ontario
171,000 Employees
Hybrid Workplace
Year Founded: 1957

What We Do

We are a mobility company that innovates like a start-up and thinks like a technology company. This helps us anticipate change in one of the most complex industries in the world and respond quickly. We depend on a team of 171,000 dynamic, entrepreneurial-minded employees in an environment where great ideas flourish. Our presence spans 343 manufacturing operations and 88 product development, engineering and sales centers in 29 countries.

We understand that you need a career as unique as you are. Whether you want to advance your existing expertise or try something completely different, we are committed to your growth.

Why Work With Us

At Magna, our engineering team is advancing mobility for everyone and everything. Joining this team means being a part of the design, development, and manufacturing of the world’s most advanced mobility technology. Innovations that move families, shape communities, and improve lives. You can follow your passions and shape your own career path.

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Magna International Teams

Magna International Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Majority of roles are hybrid with flexibility. Please speak with our recruiting team for specific details on hybrid work.

Typical time on-site: Not Specified
HQGlobal Headquarters - Aurora, Ontario, Canada
Bangalore, Karnataka, India
Graz, Austria
Lowell, Massachusetts
Monterrey, Mexico
Munich, Germany
Pune, Maharashtra, India
Sailauf, Germany
Saltillo, Mexico
US Headquarters - Troy, Michigan
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