Bachelor Thesis in Deep Learning

Bachelor Thesis in Deep Learning

Job Description:

We are seeking a motivated student to undertake their Bachelor thesis focused on Deep Learning at our innovative research facility in Villingen-Schwenningen. As part of our dynamic team, you will gain exclusive insights into cutting-edge science and research, contributing to the development of advanced microsystems technology. Your work will involve creating data labels, training deep learning models, and compressing models for embedded device applications. Additionally, you will analyze data, explore data augmentation techniques, and document as well as present your findings to both internal and external stakeholders. This is an exciting opportunity to engage with pioneering research while developing your skills in artificial intelligence.

IT Languages:

• Python
• C++
• TensorFlow
• PyTorch

Key responsibilities include data labeling, model training, and results documentation.:

Creating labels for datasets, such as segmentation masks.;; Training and optimizing deep learning models.;; Implementing model compression techniques for embedded applications.;; Conducting data analysis and exploring augmentation methods.;; Documenting findings and presenting results to diverse audiences.

Spoken Languages:

• English;; German

Skillset:

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

Soft Skills:

• Dependable
• Independent
• Team-oriented
• Proactive

Qualifications:

• Enrolled in a Bachelor's program in Computer Science, Applied AI, Embedded Systems, Media Informatics, or related engineering disciplines.

Years of Experience:

0

Location:

Germany

Job Benefits:

• Innovative working environment in a modern research institute.
• Career development opportunities during and post-study.
• Flexible working hours with the possibility of remote work.
• Training and mentorship from experienced professionals.
• Health and wellness programs, including fitness memberships.
• Meal subsidies in the cafeteria.
• Monthly transportation allowance for public transport.

Working Conditions:

Full Time

Employment Type:

Internship

Company Culture:

• We foster a collaborative and innovative workplace, encouraging creativity and research excellence. Our team is dedicated to transforming ideas into industry-leading solutions, and we prioritize employee development and well-being.

Opportunities For Advancement:

• Potential for further research roles post-thesis., Networking with industry professionals., Skill enhancement through workshops and training sessions.

Visa Sponsorship:

Available