2 year postdoctoral position (with possibility of extension) within the area of automating food production. The position is a part of a major interdisciplinary research programme “Food and Health” undertaken by Örebro University over the five-year period 2017–2022, and it covers a range of different research fields.
The project is centred on an automated prototype hotbed. The successful candidate will be working with selecting sensors as well as integrating and processing data from these. The work will include both data collection and data processing, where statistical methods as well as AI and machine learning technologies will be applied in order to predict different characteristics in different food plants. In the first phase of the project, sensor data will only be used passively, but the ultimate goal is for the system to be used to control various qualities in the plants.
How to Apply (***deadline 19th of September***)
The application has to be sent through:
This page also contains qualifications and assessment criteria.
Örebro University (http://www.oru.se
) is a young university which currently enrolls more than 17,000 students. It is located in Örebro, a city of 130,000 inhabitants, situated in central Sweden.
The Center for Applied Autonomous Sensor Systems (AASS, https://www.oru.se/english/research/research-environments/ent/AASS
) carries out multi-disciplinary research at the intersection of robotics, machine learning, artificial intelligence, computer vision, computer science, and measurement technology. The research and human environment at AASS is young and enthusiastic. Researchers come from different countries and have different scientific and cultural backgrounds.
The Mobile Robotics & Olfaction Lab is one of three research groups within AASS. Our research is recognized world-wide with its focus generally on the development of perception systems for mobile robots. The goal is to advance the theoretical and practical foundations that allow mobile robots to operate in an unconstrained, dynamic environment. The approaches that we develop address real-world needs and are typically characterized by fusion of different sensor modalities. Where possible the results of our research work are timely integrated in industrial demonstrators. Major directions are mobile Robot Olfaction, Robot Vision, Rich 3D Perception, and Robots for Intra-Logistic Applications. Further information can be found at https://mro.oru.se/