Master Thesis in Monocular Depth Estimation using Deep Learning and Computer Vision

Master Thesis in Monocular Depth Estimation using Deep Learning and Computer Vision

Job Description:

The Fraunhofer Application Center for Connected Mobility and Infrastructure is dedicated to addressing current and future challenges related to automated and cooperative driving and flying. The center integrates diverse expertise in sensor technology, communication, and artificial intelligence, leveraging synergies with universities and local industries while fostering close collaborations with the city of Ingolstadt and its partners. Through research into urban air mobility, the center explores additional technology fields in autonomous systems, traffic digitalization, and vehicle and traffic safety. We are currently seeking exceptional students interested in writing their thesis in the fields of computer vision and deep learning. The thesis will focus on developing cutting-edge methods for monocular depth estimation, which will be utilized in the environmental perception of autonomous drones, making significant contributions to the advancement of this exciting field.

IT Languages:

• Python

As a part of this project, you will engage in the development of advanced algorithms and models for depth estimation using monocular inputs.:

Develop and implement novel deep learning algorithms for monocular depth estimation;; Conduct experiments and analyze the performance of algorithms;; Collaborate with the research team to integrate solutions into autonomous drone systems;; Document findings and contribute to research reports and publications

Spoken Languages:

• English;; German

Skillset:

• Deep Learning
• Computer Vision
• Python
• PyTorch
• TensorFlow
• Neural Networks
• Transformer Architectures

Soft Skills:

• Creativity
• Teamwork
• Motivation
• Independent and structured working style

Qualifications:

• Degree in Computer Science, Data Science, Mathematics, Physics, Electrical and Information Engineering, or related field
• Strong background in Deep Learning and Computer Vision
• Excellent academic performance

Years of Experience:

0

Location:

Ingolstadt, Bavaria, Germany, EU

Job Benefits:

• Challenging tasks in state-of-the-art application areas
• Interdisciplinary research on promising technologies
• Professional supervision and guidance
• Competitive compensation
• Flexible working hours
• Modern research infrastructure
• Dynamic team in an open and collegial environment

Working Conditions:

Full Time

Employment Type:

Internship

Company Culture:

• The work environment promotes diversity and collaboration, valuing the contributions of each team member, and fostering innovation in research. The organization emphasizes the importance of interdisciplinary approaches and encourages creativity and initiative among its staff.

Opportunities For Advancement:

• Possibility of publishing research findings, Networking opportunities with industry professionals, Potential for further research collaborations

Visa Sponsorship:

Available