Master's Thesis in Deep Learning

Master's Thesis in Deep Learning

Job Description:

Join a prestigious research institution focused on innovative microsystem technology, where you will have the opportunity to immerse yourself in scientific research and development. We are seeking a motivated individual for a Master's thesis project in Deep Learning at our Villingen-Schwenningen location. This position allows you to work on cutting-edge technology and contribute to the advancement of artificial intelligence applications. You will engage in various tasks that include creating labels for data, training deep learning models, and analyzing data through advanced techniques. This role offers a unique chance to document and present your findings both internally and externally, fostering a collaborative environment for innovation.

IT Languages:

• Python
• C++
• TensorFlow
• Pytorch

As a Master's thesis student, you will take on a variety of responsibilities that contribute to your learning and the success of our projects.:

Creating labels for datasets, including segmentation masks;; Training deep learning models and enhancing their performance;; Implementing model compression techniques for embedded devices;; Conducting data analysis and exploring data augmentation techniques;; Documenting findings and presenting results in a clear and engaging manner

Spoken Languages:

• English;; German

Skillset:

• Deep Learning
• Data Analysis
• Model Training
• Machine Learning Techniques

Soft Skills:

• Team-oriented
• Proactive
• Self-reliant
• Reliable

Qualifications:

• Currently enrolled in a Master's program in Computer Science, Applied AI, Embedded Systems, Media Informatics, or related engineering fields
• Strong knowledge of programming languages such as Python, C++, TensorFlow, or Pytorch

Years of Experience:

0

Location:

Germany

Job Benefits:

• Innovative work environment with a connection to industry
• Flexible working hours and the possibility of remote work
• Professional development through competent guidance and support
• Health programs and team events participation
• Meal subsidies in the cafeteria
• Monthly support for public transport

Working Conditions:

Full Time

Employment Type:

Internship

Company Culture:

• A collaborative environment that encourages innovation, continuous learning, and professional growth. The institution values teamwork and proactive engagement among its members.

Opportunities For Advancement:

• Potential for future employment opportunities, Exposure to various research projects, Networking opportunities in the field of AI and technology

Visa Sponsorship:

Available