+++ At DLR, we are always looking for bright minds – even during the current exceptional circumstances. Our current vacancies can be found here. +++
up to German TVöD 13
Detection and mapping of dispersion processes, such as pollutants or gaseous substances in the air, is a very challenging but important problem in a variety of applications, such as monitoring and inspection of industrial facilities or environment protection or pollution monitoring. Typically, stationary sensor networks are used for such tasks. However, stationary sensor networks offer little flexibility in capturing highly dynamic nature of the gases being monitored.
The research group Swarm Exploration at the Institute of Communications and Navigation investigates use of multiple cooperating robotic platforms - or swarms - to explore such processes. Specifically, we propose to use so-called in-situ as well as remote gas sensors to capture spatial gas concentration with using mobile robots.
The goal of this research is to
The exploration algorithms should be based on information-theoretic considerations and use estimation techniques that are also widely used in communications engineering. The multi-agent system consists of flying and ground-based robots. Multiple robots are needed to handle the high spatial dynamics of the gas dispersion process. To support robot deployment and decision making, gas dispersion is represented with a physical model of gas concentration dynamics. This model also permits probabilistic formulation, so that the probabilistic distributions of the model parameters – be it locations of the gas sources or the spatial gas concentration map - can be inferred numerically from the measured values. In this context, the probabilistic approach to model representation plays an important role: it allows to compensate for unavoidable model mismatches and serves as a basis for the intelligent behavior of the multi-agent system.
The developed algorithms should exploit a decentralized architecture and generate optimal measurement positions in real time by using distributed computing and communication resources on the robots. The methods should first be developed and tested using numerical simulations and later validated on robot platforms under realistic operations.
Look forward to a fulfilling job with an employer who appreciates your commitment and supports your personal and professional development.
Our unique infrastructure offers you a working environment in which you have unparalleled scope to develop your creative ideas and accomplish your professional objectives.
Our human resources policy places great value on a healthy family and work-life-balance as well as equal opportunities for persons of all genders (f/m/x).
Individuals with disabilities will be given preferential consideration in the event their qualifications are equivalent to those of other candidates.
You can send this job advertisement via e-mail and complete your application on a personal computer or laptop.
We need your digital application documents (PDF). The document upload function is not supported by all mobile devices. Please complete your application on a PC/laptop.
Dr. Dmitriy Shutin
Institute of Communications and Navigation
Phone: +49 8153 28-2873