Research Associate

**Area**: Faculty IV: School of Science and Technology |
**Job scope**:full-time |
**Duration of employment***: limited |
**Posting-ID**: 5689

The University of Siegen is a modern university with an international orientation and a focus on interdisciplinary research. It currently has around 16,500 students and covers a range of research fields from the humanities, social and economic sciences to natural sciences, engineering and life sciences. With over 2,000 employees, the university is one of the largest employers in the region and offers a unique environment for teaching, study, research and knowledge transfer.

**We seek**:
In the Faculty IV: School of Science and Technology, Maschinenbau, we are looking for a researcher as of the 01.08.2023 at the following conditions:

- 100% = 39,83 hours
- Pay grade 13 TV-L
- limited bis 30.04.2025

**Your tasks**:

- Research as part of the German Research Foundation funded project HiSMoT (see below)
- Publication of research results in relevant international journals and conferences
- Support of lectures and supervision of students
- Contribution to research at the Chair of Production Automation and Assembly (FAMS)
- Interest in pursuing a doctoral degree in mechanical engineering

**HiSMoT**

**High-speed motion tracking and coupling for human-robot collaborative assembly tasks**
- Today, the capabilities of human-robot collaboration (HRC) are widely investigated for industrial manufacturing processes, mainly in lab environments. However, they are not well applied in production systems. Performance and safety can be a primary challenge that limits collaboration efficiency, particularly for motions at higher speeds. HRC combines the extended capabilities of humans and robots in order to create a more inclusive and human-centered future in the production industry. In this aspect, HiSMoT aims to investigate how robots and humans should behave to handle an object and anticipate mutual care, particularly for collaborative operation. This involves human motion capturing, robot motion capturing, collaborative modeling, and control. Machine learning (e.g. deep learning) techniques will be applied to achieve the foreseen objective.**Your profile**:

- Master's or equivalent degree in production engineering, mechanical engineering, mechatronics, industrial engineering, electrical engineering, computer science or related fields
- Interest in collaborative robot programming, human motion modeling and simulation and machine learning
- Proficiency in computer programming language: Python (preferred), C#, C++
- First experience with robots
- Ability to work independently as well as part of a team, very good communication skills
- Interest in collaboration with other researchers
- Very good command of written and spoken English (C1 or better)
- Knowledge of German desirable
- Experience with game engines (e.g. Unity3D), visualization software (e.g. Blender), robot control (e.g. ROS I or II) desirable
- Driver's license

**Our range of services**:

- Promotion of own scientific or artistic qualification according to the Wissenschaftszeitvertragsgesetz [act on temporary employment in higher education] (eg. PhD)
- Diverse opportunities to take on responsibility and make a visible contribution in the research and teaching environment
- A modern understanding of leadership and collaboration
- Good work-life balance, for example, through flexible working hours and work location, as well as support with child care
- Extensive personnel development program
- Health management with a wide range of prevention and counseling services

**Your contact person**:
Univ.Prof. Dr.Ing. Martin Manns

+49 271 740 5041