Research Associate (m/f/d), EG 14 TV-H
- Employment
- Full-time
- English
- B2, required
- Education
- PhD
# **Research Associate (m/f/d), EG 14 TV-H, fixed-term, full-time (currently 40 hours per week)**
The post is initially limited until 31 December 2028 as part of the ‘DyNaMo’ project, in accordance with its duration (academic qualification position pursuant to § 2 WissZeitVG). An extension of the employment is planned. The opportunity to obtain a habilitation degree is given.
The Intelligent Embedded Systems (IES) group conducts research in the area of fundamentals and applications of methods in data analysis, machine learning (e.g. deep learning, active learning) and artificial intelligence. In the focus of basic research are, for example, self-learning and self-organizing systems, methods of collaborative and active learning, methods of transfer learning, and techniques for real-time analysis of time series.
Applied research focuses on the fields of energy systems, automotive (autonomous driving) and experimental physics/materials. The IES group currently employs around 20 researchers in the above areas.
- *Your tasks:**
- Methods for perceiving cyclists’ behaviour by using machine learning techniques (in particular deep learning approaches) based on data from vehicle sensors (e.g. camera and LiDAR data).
- Cross-labelling approaches for the highly automated annotation of cyclists’ behaviour data, i.e. transferring ‘labels’ from, for example, camera data to LiDAR data.
- Methods for in