At the Faculty of Computer Science, Institute of Artificial Intelligence, the Chair of Machine Learning for Robotics offers a full-time position as
(subject to personal qualification employees are remunerated according to salary group E 13 TV-L)
starting as soon as possible. The position is initially limited until March 26, 2028. The period of employment is governed by the Fixed Term Research Contracts Act (Wissenschaftszeitvertragsgesetz - WissZeitVG). The position aims at obtaining further academic qualification (usually PhD).
Research Associate / PhD Student (m/f/x) at the Chair of Machine Learning for Robotics
Activities and responsibilities
- scientific research related to the development of novel tactile sensors
- design and implementation of research Demos
- support of other functions of the lab as necessary, including research, teaching, outreach and administration
Qualification profile
- university degree (Master, Diploma) in Mechanical Engineering, Electronic Engineering, Computer Science or related fields
- provable experience in the design and manufacturing of mechanical systems
- fluency in technical and non-technical English
- a high degree of independence, commitment, team spirit, and good communication skills
- provable experience in the design and manufacturing of electronic systems
- provable experience in the design and manufacturing of optical systems
- past experience with robot control and operation
- programming experience with ROS, C/C++, and/or Python
We offer
- attractive working conditions with an interesting, varied and challenging area of responsibility
- a high degree of creative freedom in your own area of responsibility
- collaboration in a committed international team with an open and agile working culture
- flexible working hours
- participation in the university's health management program and in the additional public service pension scheme via VBL
TUD strives to employ more women in academia and research. We therefore expressly encourage women to apply. The University is a certified family-friendly university. We welcome applications from candidates with disabilities. If multiple candidates prove to be equally qualified, those with disabilities or with equivalent status pursuant to the German Social Code IX (SGB IX) will receive priority for employment.
Please submit your detailed application with the usual documents by May 30, 2025 (stamped arrival date of the university central mail service or the time stamp on the email server of TUD applies), preferably via the TUD SecureMail Portal https://securemail.tu-dresden.de by sending it as a single pdf file to email or to: TU Dresden, Chair of Machine Learning for Robotics, Prof. Dr.-Ing. Roberto Calandra, Helmholtzstr. 10, 01069 Dresden, Germany. Please submit copies only, as your application will not be returned to you. Expenses incurred in attending interviews cannot be reimbursed.
Reference to data protection: Your data protection rights, the purpose for which your data will be processed, as well as further information about data protection is available to you on the website: https://tu-dresden.de/karriere/datenschutzhinweis.
