We offer student projects for those interested in gaining practical experience in robotics research and development. Projects may involve simulation, robot experiments, software development, machine learning, or hardware integration. Students will have the opportunity to contribute to ongoing research activities while developing technical and scientific skills.

Available student projects

To see ongoing and completed student projects, please see the "Teaching" page.

Proposing your own student project

We are always looking for talented and motivated students. If none of the listed topics match your interests and you have your own ideas, we strongly encourage you to contact us.

Please first take a look at the research areas of our team members to identify the most relevant contact person. However, if you are unsure or contact the wrong person, this is not a problem — we will forward your inquiry internally to the appropriate person.

If you would like to propose your own project idea, please include a short abstract describing:

1. The problem you would like to address
2. Why the problem is relevant from a scientific or engineering perspective
3. Your initial idea for how to solve the problem

Moreover, if you do not yet have a specific idea, but rather a general field you would like to explore, do not hesitate to contact us. We will try to propose a new topic tailored to your interests.

Students applying for projects should meet the following requirements:

• Currently enrolled at TU Wien
• Strong problem-solving and communication skills
• Proficiency in spoken and written English
• Proficiency in Python programming

The following qualifications are considered an advantage:

• Experience with machine learning libraries and frameworks such as PyTorch, scikit-learn, SciPy, pandas, and Stable-Baselines3
• Knowledge of simulation environments such as Isaac Sim, Isaac Lab, or MuJoCo
• Experience with CAD software such as Fusion 360 or SolidWorks
• Electrical engineering experience, including circuit design and manufacturing, as well as programming microcontrollers and embedded systems (e.g., Raspberry Pi)

Students interested in a project are encouraged to contact the corresponding project supervisor directly. Applications should include:

• Curriculum Vitae (CV)
• Grade transcripts
• Information about relevant courses completed that are related to the project topic