Master's Thesis in Deep Learning

Master's Thesis in Deep Learning

Job Description:

Join us for an exciting opportunity to delve into the world of artificial intelligence through your master's thesis focused on deep learning. At our innovative research institute, you will gain exclusive insights into cutting-edge scientific research and practical applications in microsystems technology. You will be part of a dynamic team dedicated to transforming ideas into cross-industry solutions, from conception to manufacturing. This role offers you the chance to work on diverse tasks such as creating data labels, training deep learning models, and exploring data augmentation techniques, all while contributing to innovative projects that have real-world impact.

IT Languages:

• Python
• C++
• TensorFlow
• PyTorch

As a master's thesis student, you will engage in various responsibilities that will enhance your research and technical skills in deep learning.:

Creating labels for data, including segmentation masks.;; Training deep learning models to improve performance.;; Implementing model compression techniques for deployment on embedded devices.;; Conducting data analysis to derive meaningful insights.;; Investigating various data augmentation strategies.;; Documenting your findings and presenting results both internally and externally.

Spoken Languages:

• English;; German

Skillset:

• Deep Learning
• Data Analysis
• Model Training
• Data Augmentation
• Documentation

Soft Skills:

• Reliability
• Independence
• Teamwork
• Proactive mindset

Qualifications:

• Currently enrolled in a master's program in technical computer science, applied AI, embedded systems, media informatics, or a related engineering discipline.
• Strong background in programming with languages such as Python, C++, TensorFlow, or PyTorch.

Years of Experience:

0

Location:

Villingen-Schwenningen, Baden-Württemberg, Germany, EU

Job Benefits:

• Innovative work environment within a modern research institute connected to the industry.
• Diverse career opportunities during and after your study period.
• Flexible working hours with the possibility of remote work.
• Professional development and mentoring from experienced staff.
• Participation in health programs and team events.
• Subsidized meals in the cafeteria.
• Monthly transportation allowance for public transit.

Working Conditions:

Full Time

Employment Type:

Internship

Company Culture:

• We foster a collaborative and innovative culture that encourages creativity and professional growth. Our team is committed to pushing boundaries in research and development, providing a supportive environment for young talents to thrive.

Opportunities For Advancement:

• Potential for further research opportunities post-thesis., Career development programs within the organization.

Visa Sponsorship:

Available