Master's Thesis in The Area of Efficient Training - Munich, Deutschland - BMW AG

BMW AG

Geprüftes Unternehmen

Munich, Deutschland

vor 3 Wochen

Geschrieben von:

Lena Wagner

beBee Recruiter

Beschreibung

NO NEED TO PREDICT THE FUTURE. YOU CAN CREATE IT.
SHARE YOUR PASSION.
World-leading technologies don't make it into a BMW until they've undergone one of the most challenging journeys imaginable. It takes dynamic teams with outstanding technical skills to take them from the drawing board to the road.

That's why our experts will treat you as part of the team from day one, encourage you to bring your own ideas to the table - and give you the opportunity to really show what you can do.

We, the BMW Group, offer you an interesting and varied masters thesis on efficient training techniques for neural networks on large-scale datasets.

Modern computer vision algorithms mostly rely on convolutional neural networks (CNNs) as they have become the state-of-the-art over the past decade.

The effectiveness of CNNs heavily depends on the data used train it before deployment. As labeled data grows over years it becomes harder to identify relevant corner cases. Along with this growth, the source of the data (sensors, labeling process, etc.) might also change over time. This makes training a neural network on large-scale, diverse data more challenging with every new generation of its deployment. Within the scope of this thesis a novel efficient training flow for neural networks shall be developed.

What awaits you?

Researching on stateoftheart methods in literature on efficient training techniques for neural networks.
Implementation experience by developing a new training flow for neural networks to efficiently handle diverse largescale data.
Evaluating the success of the novel training method on publicly available research datasets.
Engagement in a team with experience in publishing at international peerreviewed conferences.
Presenting the results of the thesis using the scientific method, both in written and oral form.

Please note that you must ensure that the thesis is supervised by a university.

What should you bring along?

You are a master student approaching the end of your degree in computer science or related fields with focus on machine learning or artificial intelligence.
You have strong knowledge in computer vision concepts (classification, object detection, semantic segmentation) and convolutional neural networks.
You have very good programming skills in Python, Tensorflow and worked with modern programming environment tools such as Docker and Git.
You speak English fluently.
You are motivated at solving problems independently as well as sharing ideas and working in a team.

At the BMW Group, we see diversity and inclusion in all its dimensions as a strength for our teams.

Equal opportunities are a particular concern for us, and the equal treatment of applicants and employees is a fundamental principle of our corporate policy.

That is why our recruiting decisions are also based on personality, experience and skills.
Find out more about diversity at the BMW Group

Earliest starting date: 01/16/2023

Duration: 6 months

Working hours:
full-time

Contact:

BMW Group Recruiting Team