City:  Erlangen
Date:  Nov 20, 2022

Student Assistant / Intern / Thesis Student - Recovering Geometry from Images using Deep Learning

The Fraunhofer-Gesellschaft (www.fraunhofer.com) currently operates 76 institutes and research institutions throughout Germany and is the world’s leading applied research organization. Around 30 000 employees work with an annual research budget of 2.9 billion euros. 

Recovering geometry information from multiple photos of an object is still a challenging task. Recently, many deep learning based approaches have been published, showing a huge potential of this technology for future VR, AR and 3D compositing applications.

 

To advance our research in this domain, we are looking for you to help us in evaluating the most promising approaches for geometry reconstruction from multiple images using deep learning.

 

For more information about our research, please refer to https://www.iis.fraunhofer.de/lightfield and to https://www.iis.fraunhofer.de/en/profil/zukunftsinitiativen/dsai.html.

 

You are interested in 3D reconstruction and would like to develop further in the field of deep learning? 

 

What you will do

  • Using existing source code, you train deep neural networks that are able to deliver geometry and color information of an object or a scene
  • You evaluate the results using objective quality metrics
  • You compare various approaches in terms of processing time, memory consumption and achievable quality

 

What you bring to the table

  • You are currently studying electronics engineering, computer science, information and communication technologies or a related field
  • You have experience in programming languages such as Python, MATLAB or C++
  • You have experience with deep learning frameworks such as TensorFlow, PyTorch
  • You have good knowledge in the area of multi-view image processing

 

What you can expect

  • An interesting application-oriented field of research with innovative projects and a state-of-the-art laboratory environment
  • Extensive professional support from scientific mentors
  • Flexible hours that allow you to balance your studies and on-the-job experience
  • An open and friendly work environment
  • Sufficient opportunity to develop your interests and skills

 

Weekly working hours are determined by agreement. You can reduce your hours before exams and increase them during semester breaks. You can flexibly determine the working days. After your studies, you have the option of working with us full or part time.

 

We value and promote the diversity of our employees' skills and therefore welcome all applications - regardless of age, gender, nationality, ethnic and social origin, religion, ideology, disability, sexual orientation and identity. 

 

With its focus on developing key technologies that are vital for the future and enabling the commercial utilization of this work by business and industry, Fraunhofer plays a central role in the innovation process. As a pioneer and catalyst for groundbreaking developments and scientific excellence, Fraunhofer helps shape society now and in the future. 

 

Interested? Apply online now (PDF: cover letter, CV, transcripts). We look forward to getting to know you!

 

Fraunhofer Institute for Integrated Circuits IIS 

www.iis.fraunhofer.de 

 

Requisition Number: 12683                Application Deadline: none                       Location: Erlangen 

 


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