Master's Thesis in Deep Learning

Master's Thesis in Deep Learning

Job Description:

Join us for an exciting opportunity to engage in cutting-edge research and development in the field of Deep Learning. As a Master's student, you will delve into the realms of artificial intelligence and contribute to innovative solutions that bridge theoretical concepts with practical applications. This position offers a unique glimpse into scientific research, allowing you to work closely with a team of experts dedicated to transforming ideas into advanced technologies. You will be responsible for creating data labels, training deep learning models, exploring model compression techniques for embedded devices, and conducting thorough data analyses. Your findings will be documented and presented, contributing to both internal knowledge sharing and external communication of our research outcomes.

IT Languages:

• Python
• C++
• TensorFlow
• PyTorch

You will assist in various tasks related to deep learning research, focusing on data preparation, model development, and analysis.:

Create labels for datasets, including segmentation masks.;; Train and optimize deep learning models.;; Implement model compression techniques suitable for embedded systems.;; Conduct data analysis and investigate data augmentation techniques.;; Document findings and present results to both internal and external stakeholders.

Spoken Languages:

• English;; German

Skillset:

• Deep Learning
• Model Optimization
• Data Analysis
• Data Labeling

Soft Skills:

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

Qualifications:

• Currently enrolled in a Master's program in Computer Science, Applied AI, Embedded Systems, Media Informatics, or a related engineering field.
• Strong understanding of machine learning principles and techniques.

Years of Experience:

0

Location:

Germany

Job Benefits:

• Innovative work environment with modern research facilities.
• Career security with diverse opportunities during and after studies.
• Flexible working hours and the possibility of remote work.
• Professional training and development support.
• Health and wellness programs available.
• Subsidized meals in the company cafeteria.
• Monthly transportation allowance for public transport.

Working Conditions:

Full Time

Employment Type:

Internship

Company Culture:

• A collaborative and innovative atmosphere where creativity and scientific inquiry are encouraged. The team values continuous learning and knowledge sharing, fostering professional growth and development.

Opportunities For Advancement:

• Potential for further research roles., Opportunities for collaboration on industry projects., Pathways to full-time positions post-graduation.

Visa Sponsorship:

Available