student assistant (m/f/x) - Learning about surface treatment strategies

Dlr; Oberpfaffenhofen; Teletrabalho; EUR 11 000 - 16 000; Tempo parcial

Resumo da oferta

DLR, the German Aerospace Center in Oberpfaffenhofen, invites applications for a student assistant (m/f/x) to explore learning strategies for surface treatment through AI and 3D data. The role is part-time for six months, starting 01.10.2026, with TVöD-Bund remuneration.

You will compile ML methods for 3D mesh/point cloud data, pre-process datasets, design a training pipeline, and evaluate models against existing planning solutions while working closely with the Cognitive Robotics team.

Qualificações

• Proficient in Python programming.
• Experience with a deep learning framework (PyTorch or TensorFlow).
• Basic ML/DL knowledge and 3D data experience (point clouds/meshes).
• Familiar with triangulated mesh formats (STL, OBJ) for datasets.
• Ability to work independently and solve problems.

Responsabilidades

• Compile an overview of machine learning methods suitable for learning from 3D mesh and point cloud data.
• Familiarise yourself with the existing geometry/trajectory generator and the dataset, as well as the underlying problem.
• Pre-processing and, where necessary, extending a generator or the dataset comprising meshes and planning solutions.
• Designing and implementing a training pipeline that maps geometry to processing strategies.
• Training, evaluating and comparing the trained models with existing planning solutions.

Conhecimentos

Python

Deep learning frameworks (PyTorch/TF)

3D data (point clouds, meshes)

Mesh formats (STL, OBJ)

Independent work / problem solving

Ferramentas

PyTorch

TensorFlow

Descrição da oferta de emprego

student assistant (m/f/x) - Learning about surface treatment strategies

Req ID: 5901 Place of work: Oberpfaffenhofen Starting date: 01.10.2026 Career level: Student employment Type of employment: Part time Duration of contract: 6 Monate

Remuneration is in accordance with the Collective Agreement for the Public Sector - Federal Government (TVöD-Bund).

Enter the fascinating world of the German Aerospace Center (Deutsches Zentrum für Luft- und Raumfahrt e. V.; DLR) and help shape the future through research and innovation! We offer an exciting and inspiring working environment driven by the expertise and curiosity of our12,000employees from 100 nations and our unique infrastructure. Together, we develop sustainable technologies and thus contribute to finding solutions to global challenges. Would you like to join us in addressing this major future challenge?Then this is your place!

The Institute of Robotics and Mechatronics develops robots that enable people to interact with the environment more efficiently, effectively and safely. The robots are designed to work in environments that are inaccessible or dangerous for humans, but also to support and relieve people at work and in everyday life.

What to expect

The Cognitive Robotics department is closely linked to the topic of artificial intelligence (AI). After all, robots are built to do something - and in order for them to know what to do and how, they need a certain amount of intelligence. Every robot we work with should solve its tasks as efficiently and purposefully as possible. To this end, the department is working on various key AI topics.

Your tasks

• Compile an overview of machine learning methods suitable for learning from 3D mesh and point cloud data
• Familiarise yourself with the existing geometry/trajectory generator and the dataset, as well as the underlying problem
• Pre-processing and, where necessary, extending a generator or the dataset comprising meshes and planning solutions
• Designing and implementing a training pipeline that maps geometry to processing strategies
• Training, evaluating and comparing the trained models with existing planning solutions

Your profil

• Good programming skills in Python
• Experience with a deep learning framework (e.g. PyTorch or TensorFlow)
• A basic understanding of machine learning/deep learning, as well as some experience with 3D data (point clouds, mesh models)
• Familiarity with triangulated mesh models (STL, OBJ) for working with a dataset
• Ability to work independently and strong problem-solving skills

Remuneration is based on qualifications and pay band, up to pay band 5 of the TVöD.

We offer

DLR stands for diversity, appreciation and equality for all people. We promote independent work and the individual development of our employees both personally and professionally. To this end, we offer numerous training and development opportunities. Equal opportunities are of particular importance to us, which is why we want to increase the proportion of women in science and management in particular. Applicants with severe disabilities will be given preference if they are qualified.

We look forward to getting to know you!

If you have any questions about this position (Vacancy-ID 5901) please contact:

Dr. Freek Stulp
Tel.:[phone]