Master Thesis - Optimizing Sparse 3D Occupancy Prediction for Embedded Devices - REF5666W

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AUMOVIO Germany GmbH
Munkavégzés helye

Németország

Munkaidő, foglalkoztatás jellege
- Alkalmazotti jogviszony
- Általános munkarend
Elvárt technológiák
- PYTHON DOCKER GIT WORD MACHINE LEARNING
Elvárások
- Angol középfok
- 1-3 év tapasztalat
- Középiskola

Állás elmentve

A hirdetést eltávolítottuk a mentett állásai közül.

Responsibilities

The following tasks are to be processed in this Master's thesis:

You will actively work on sparsifying, pruning and quantizing CNN and transformer-based architectures for autonomous driving
Design, implement, and evaluate models and training algorithms for runtime optimized 3D semantic occupancy predictions
Summarize research findings in a paper/ master thesis and/or patent submission

Requirements

Hey, you are looking for an exciting thesis and would like to gain valuable insights into the field of 3D Semantic Occupancy Prediction for Embedded Devices? Then we have just the thing for you!

We are looking for you starting in February for a period of 6 months to support us in our AI laboratory in Berlin. We will need you mostly on site in Berlin. But we also understand that there are days when you'd rather work from home. Therefore, together we find a solution that suits us all - remote working hours are therefore possible in consultation with your supervisor.

The following tasks are to be processed in this Master's thesis:

You will actively work on sparsifying, pruning and quantizing CNN and transformer-based architectures for autonomous driving
Design, implement, and evaluate models and training algorithms for runtime optimized 3D semantic occupancy predictions
Summarize research findings in a paper/ master thesis and/or patent submission

While not mandatory, this position is particularly well-suited for students who are considering a future in research or pursuing a PhD.

What we offer

Are you wondering whether you are suitable for the thesis in the field of lightweight 3D Occupancy Prediction? Here are key qualifications we are looking for:

You study in the field of Artificial Intelligence, Machine Learning, Computer Vision, Computer Science, Robotics, Mathematics or comparable courses of study, so that you have basic aspects of our area of responsibility
Strong programming skills in Python are absolutely necessary in the context of this position
You should have a strong interest in working on runtime optimization
It would be great if you have experience in 3D perception, previous exposure to multihead attention, experience with deep learning, training and optimizing large architectures as well as already worked with Docker, PyTorch, OOP and Git
Demonstrated research/software engineering experience through previous internships, work experience, coding competitions and/or research projects and papers are a plus
Fluent English language skills in word and writing are absolutely necessary for us

Company info

Hey, you are looking for an exciting thesis and would like to gain valuable insights into the field of 3D Semantic Occupancy Prediction for Embedded Devices? Then we have just the thing for you!