Are you fascinated by the intricate dance of robots and objects? Do you dream of pushing the boundaries of robotic manipulation? If so, this internship is your chance to dive into the heart of robotic innovation!
You can work on this project either by doing a B.Sc or M.Sc. thesis or an internship*.
Job Description
This internship offers a unique opportunity to explore the exciting world of robotic learning. You’ll join our team, working alongside cutting-edge robots like the UR3, Franka Emika, FANUC cobot, and advanced grippers like the 2F Adaptive Gripper (Robotiq), and the dexterous RH8D Seed Robotics Hand. Equipped with sophisticated digit sensors, you’ll delve into the world of grasping, manipulation, and interaction with diverse objects using Deep Learning methods.
Start date: Open
Keywords:
- Robot learning
- Robotic manipulation
- Reinforcement Learning
- Deep learning
- ROS2
- PyTorch
- Research
Responsibilities
- Collaborate with researchers to develop and implement novel robotic manipulation learning algorithms.
- Gain hands-on experience programming and controlling robots like the UR3, Franka Emika, and FANUC cobot.
- Experiment with various grippers like the 2F Adaptive Gripper and the RH8D Seed Robotics Hand, exploring their functionalities.
- Analyze data from digit sensors to refine grasping strategies and object interaction techniques.
- Participate in research activities, including data collection, analysis, and documentation.
- Contribute to the development of presentations and reports to effectively communicate research findings.
Qualifications
- Currently pursuing a Bachelor’s or Master’s degree in Computer Science,
Electrical Engineering, Mechanical Engineering, Mathematics or related
fields. - Solid foundation in robotics fundamentals (kinematics, dynamics, control theory).
- Solid foundation in machine learning concepts (e.g., supervised learning, unsupervised learning, reinforcement learning, neural networks, etc)
- Strong programming skills in Python and experience with deep learning frameworks such as PyTorch or TensorFlow.
- Experience with ROS 2
- Excellent analytical and problem-solving skills.
- Effective communication and collaboration skills to work seamlessly within the research team.
Opportunities and Benefits of the Internship
- Gain invaluable hands-on experience with state-of-the-art robots and grippers.
- Work alongside other researchers at the forefront of robotic manipulation.
- Develop your skills in robot programming, control, and sensor data analysis.
- Contribute to groundbreaking research that advances the capabilities of robotic manipulation.
- Build your resume and gain experience in a dynamic and exciting field.
Application
Send us your CV accompanied by a letter of motivation at fotios.lygerakis@unileoben.ac.at with the subject: “Internship Application | Robot Learning”
Funding
We will support you during your application for an internship grant. Below we list some relevant grant application details.
CEEPUS grant (European for undergrads and graduates)
Find details on the Central European Exchange Program for University Studies program at https://grants.at/en/ or at https://www.ceepus.info.
In principle, you can apply at any time for a scholarship. However, also your country of origin matters and there exist networks of several countries that have their own contingent.
Ernst Mach Grant (Worldwide for PhDs and Seniors)
Find details on the program at https://grants.at/en/ or at https://oead.at/en/to-austria/grants-and-scholarships/ernst-mach-grant.
Rest Funding Resourses
Apply online at http://www.scholarships.at/