Bachelor Thesis in Deep Learning

Bachelor Thesis in Deep Learning

Job Description:

Join our innovative research institution where we focus on advancing microsystems technology. As a part of our team, you will have the opportunity to work on cutting-edge projects that transform ideas into industry-leading solutions. This position is specifically for a Bachelor thesis in the field of Deep Learning, providing you with an exclusive insight into scientific research and technological development. You will engage in tasks such as creating data labels, training deep learning models, and analyzing data to implement effective augmentation techniques, all while documenting and presenting your findings both internally and externally.

IT Languages:

• Python
• C++
• TensorFlow
• PyTorch

You will be responsible for various research and development tasks related to deep learning.:

Creating labels for datasets, including segmentation masks.;; Training and optimizing deep learning models.;; Implementing model compression techniques for embedded device applications.;; Conducting data analysis.;; Exploring data augmentation techniques.;; Documenting and presenting results.

Spoken Languages:

• English;; German

Skillset:

• Deep Learning
• Data Analysis
• Model Compression
• Data Augmentation

Soft Skills:

• Reliable
• Independent
• Team-oriented
• Proactive

Qualifications:

• Currently enrolled in a Bachelor's program in Computer Science, Applied AI, Embedded Systems, Media Informatics, or similar engineering fields.
• Strong knowledge in programming languages and frameworks.

Years of Experience:

0

Location:

Germany

Job Benefits:

• Modern research environment with close industry ties.
• Diverse career opportunities during and after studies.
• Flexible working hours and remote work options.
• Professional training and development support.
• Health programs and team events.
• Meal subsidies in the cafeteria.
• Monthly public transport subsidy.

Working Conditions:

Full Time

Employment Type:

Internship

Company Culture:

• We foster an innovative and collaborative environment where research meets practical application. Our team values creativity and encourages personal growth, making it a dynamic place for students and professionals alike.

Opportunities For Advancement:

• Potential for further research positions., Opportunities for internships and full-time roles post-graduation.

Visa Sponsorship:

Available