Bachelor Thesis in Deep Learning

Bachelor Thesis in Deep Learning

Job Description:

Join a leading research institution specializing in innovative microsystems technology, where you will have the opportunity to engage deeply with cutting-edge research in deep learning. This role involves creating labels for datasets, such as segmentation masks, and training deep learning models to enhance their effectiveness. You will also explore model compression techniques suitable for embedded devices, conduct data analysis, and investigate various data augmentation methods. The documentation and presentation of your findings will be crucial, as you will share your results with both internal teams and external stakeholders. This is a fantastic opportunity to apply your knowledge in a practical setting while contributing to the advancement of technology in a collaborative environment.

IT Languages:

• Python
• C++
• TensorFlow
• Pytorch

You will engage in various responsibilities that contribute to the research and application of deep learning technologies.:

Creating labels for datasets, including segmentation masks.;; Training and fine-tuning deep learning models.;; Implementing model compression techniques for embedded devices.;; Conducting thorough data analysis.;; Exploring and evaluating data augmentation techniques.;; Documenting and presenting your findings to both internal and external audiences.

Spoken Languages:

• English;; German

Skillset:

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

Soft Skills:

• Reliable
• Independent
• Team-oriented
• Proactive

Qualifications:

• Currently enrolled in a Bachelor's degree program in (Technical) Computer Science, Applied AI, Embedded Systems, Media Computer Science or a comparable engineering discipline.
• Strong knowledge in one or more programming languages such as Python, C++, TensorFlow, or Pytorch.
• Genuine enthusiasm for research and development, particularly in innovative and challenging tasks.

Years of Experience:

0

Location:

Villingen-Schwenningen, Baden-Württemberg, Germany, EU

Job Benefits:

• Cutting-edge work environment with a strong connection to industry.
• Diverse career opportunities during and after studies.
• Flexible working hours with potential for remote work.
• Comprehensive training and mentorship.
• Health programs and team events.
• Meal subsidies in the company cafeteria.
• Monthly transportation allowance for public transport.

Working Conditions:

Full Time

Employment Type:

Internship

Company Culture:

• The workplace fosters a culture of innovation, collaboration, and continuous learning, encouraging employees to explore new ideas and technologies while working closely with industry partners.

Opportunities For Advancement:

• Potential for further research opportunities., Career development workshops., Networking opportunities within the industry.

Visa Sponsorship:

Not Available