Student Assistant - Erlangen, Deutschland - Fraunhofer-Institut für Integrierte Schaltungen IIS

Fraunhofer-Institut für Integrierte Schaltungen IIS

Geprüftes Unternehmen

Erlangen, Deutschland

vor 3 Wochen

Geschrieben von:

Lena Wagner

beBee Recruiter

Beschreibung

Neural 3D reconstruction is a growing field in computer vision focused on generating 3D representations from 2D images or videos.

Learning algorithms, such as Neural Radiance Fields (NeRFs), play a significant role in this approach. NeRFs are neural networks that model the 3D shape and color of objects in a continuous 3D space.

Through training on multiple 2D images, NeRFs can predict radiance at any 3D point, enabling the creation of realistic and detailed 3D models.

Capture images -> camera calibration -> stream data to NeRF training pipeline -> monitor performance

For more information about our 3D reconstruction research, please refer to

Piqued your interest? Then have a look at our offer
What you will do

You evaluate stateoftheart realtime scanning approaches proposed in e. g. Nerfcapture, Nerf_Bridge etc. and understand their challenges.
You build up on an existing app or develop our own app to address their limitations consequently.
You learn and implement NeRF training with streaming data.
You document thoroughly all captured datasets, reconstructed models, and experiments conducted during the project.

What you bring to the table

You are currently studying media production, electronics engineering, computer science, information and communication technologies, or a related field
You have experience in programming using languages such as Python, C++, Java etc.
You are interested in building a streaming pipeline based on Data Distribution Systems (DDS)

Optional:

You know basics of image processing and 3D computer vision e.g. camera calibration, multiview geometry etc.
You are familiar with tools like Git, IDE (e.g. VSCode), etc.

What you can expect

Extensive professional support from
scientific mentors:
Flexible working hours that allow you to balance your studies and 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 start from now on (as a student assistant from
10 to
20 hours a week or as an intern for a period of at least three months).

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.

If you have any questions about this job offer, please contact:
Interested?

Fraunhofer-Institute for Integrated Circuits IIS