Research Student

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:
Responsibilities:

• Literature Review: Conduct comprehensive reviews of existing research on GNNs and their applications in controllable synthetic data generation.
• Development and Implementation: Lead the design and coding of generative graph neural networks for controllable synthetic data generation, particularly for deformable objects, leveraging insights obtained from the literature review.
• Collaboration: Work closely with team members to integrate GNNs and their synthetic data outputs into Magna's robotic perception system training framework.
• Documentation: Maintain detailed records of research processes and findings.
• Presentations: Prepare and present research updates in team meetings.
• Knowledge Transfer: Provide instruction and knowledge transfer to Magna employees.

Requirements:

• Education: Pursuing a graduate or post-graduate degree in Computer Science, Data Science, or a related field.
• Technical Skills: Familiarity with neural networks and machine learning frameworks (e.g., TensorFlow, PyTorch).
• Analytical Skills: Strong problem-solving abilities and analytical thinking.
• Communication: Excellent verbal and written communication skills.
• Teamwork: Ability to work effectively in a collaborative environment.

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:
Fixed Term (Fixed Term)
Group:
Magna Corporate