PhD Student - Machine Learning for Robotics (m/f/d)- Technische Universität Dresden

Technische Universität Dresden; Dresden; Vor Ort; EUR 50.000 - 65.000; Vollzeit

Zusammenfassung

The Faculty of Computer Science at a leading university is seeking a Research Associate/PhD Student in Machine Learning for Robotics. This full-time position involves scientific research on tactile sensors and offers a collaborative, innovative environment. Candidates should have a relevant Master's degree and strong communication skills.

Leistungen

Attractive working conditions

Creative freedom

International team collaboration

Flexible working hours

Health management program

Public service pension scheme

Qualifikationen

• University degree 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.

Aufgaben

• 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.

Kenntnisse

Independence

Commitment

Team Spirit

Communication

Fluency in English

Ausbildung

Master in Mechanical Engineering

Master in Electronic Engineering

Master in Computer Science

Tools

ROS

C/C++

Python

Jobbeschreibung

TUD Dresden University of Technology, as a University of Excellence, is one of the leading and most dynamic research institutions in the country. Founded in 1828, today it is a globally oriented, regionally anchored top university as it focuses on the grand challenges of the 21st century. It develops innovative solutions for the world's most pressing issues. In research and academic programs, the university unites the natural and engineering sciences with the humanities, social sciences and medicine. This wide range of disciplines is a special feature, facilitating interdisciplinarity and transfer of science to society. As a modern employer, it offers attractive working conditions to all employees in teaching, research, technology and administration. The goal is to promote and develop their individual abilities while empowering everyone to reach their full potential. TUD embodies a university culture that is characterized by cosmopolitanism, mutual appreciation, thriving innovation and active participation. For TUD diversity is an essential feature and a quality criterion of an excellent university. Accordingly, we welcome all applicants who would like to commit themselves, their achievements and productivity to the success of the whole institution.

At the Faculty of Computer Science, Institute of Artificial Intelligence, the Chair of Machine Learning for Robotics offers a full-time position as

Research Associate / PhD Student (m/f/x)

(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).

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

Optional Requirements

• 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

Benefits

• 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