Student Assistant in Deep Learning

Student Assistant in Deep Learning

Job Description:

Join us as a Student Assistant in Deep Learning, where you will gain exclusive insights into cutting-edge research and innovation in microsystems technology. We are looking for a motivated individual to contribute to our projects in a dynamic team environment. Your role will involve creating labels for data sets, training deep learning models, and exploring data augmentation techniques. You will have the opportunity to document and present your findings both internally and externally, fostering a learning environment while driving forward our research initiatives. This is a fantastic opportunity to apply your academic knowledge in a practical setting and be at the forefront of technological advancements.

IT Languages:

• Python
• C++
• TensorFlow
• Pytorch

As a Student Assistant, you will be responsible for various tasks that contribute to the research and development of deep learning applications.:

Creating labels for datasets including segmentation masks.;; Training and optimizing deep learning models.;; Implementing model compression techniques for embedded devices.;; Conducting data analysis to improve model performance.;; Investigating and applying data augmentation techniques.;; Documenting and presenting results to team members and stakeholders.

Spoken Languages:

• English;; German

Skillset:

• Deep Learning
• Data Analysis
• Machine Learning
• Computer Vision

Soft Skills:

• Self-motivated
• Team-oriented
• Proactive
• Reliable

Qualifications:

• Currently enrolled in a Bachelor's or Master's program in Computer Science, Applied AI, Embedded Systems, Media Informatics, or related engineering disciplines.
• Solid understanding of deep learning methodologies and techniques.

Years of Experience:

1

Location:

Europe

Job Benefits:

• Innovative work environment with modern research facilities.
• Flexible working hours and the possibility of remote work.
• Opportunities for professional development and training.
• Health and wellness programs and team events.
• Meal subsidies in the cafeteria.
• Monthly transportation allowance.

Working Conditions:

Hybrid

Employment Type:

Internship

Company Culture:

• We foster a collaborative and innovative work atmosphere where ideas can thrive. Our team is dedicated to research and development, ensuring that every member has the opportunity to grow and contribute meaningfully to projects.

Opportunities For Advancement:

• Potential for future employment opportunities post-internship., Networking with industry professionals., Access to various training and development programs.

Visa Sponsorship:

Available