As KU Leuven research group on Life Cycle Engineering (LCE) of the Department of Mechanical Engineering we have acquired significant experience in re- and demanufacturing, which includes reuse, repair, remanufacturing and recycling of various waste streams and the dismantling of products into their components or composing materials. In addition, in the research group Embedded and Artificially Intelligent Vision Engineering (EAVISE) substantial experience has been acquired on applications of advanced computer vision and artificial intelligence to bridge the valley of death between academia and industry. Through the close cooperation of both research groups we exploit this knowledge to support equipment manufacturers in the development of the next generation of processes for the recycling sector. Hence, we support recycling companies in the transition towards a more circular economy.
Within the European EIT KIC Raw Materials Upscaling project AUSOM (AUtomatic SOrting of mixed scrap Metals) KU Leuven will collaborate with the companies Redwave (AU), Spectral Industries (NL) and Galloo (BE) and the research institute Swerim (SW) to develop an automated sorting technology for metal alloys based on laser induced breakdown spectroscopy (LIBS). KU Leuven will contribute to four main aspects of the project: (deep learning) computer vision, robotic picking, life cycle costing and impact assessment, and an educational component.
In the framework of this project, you will be responsible for investigating how geometrical information from cameras and composition data derived from LIBS sensors can be combined to improve both the classification and the sorting of scrap metal. You will investigate the technical feasibility of integrating deep learning computer vision and datafusion technologies to distinguish different alloys of metal scrap, such as different aluminium and stainless steel alloys, manganese, copper, brass and lead. Subsequently, you will investigate and develop techniques that exploit both classification and geometric data to enable selective removal of components (e.g.via controlled pneumatic ejection).
You will be involved in the development of the entire system and the integration of the different developments throughout the project in close cooperation with an internationally renowned machine builder, sensor builder and recycling company. Throughout the integration and based on feedback from the project partners, you will investigate the economic consequences of imperfect sorting and methods to determine optimal parameters for the classification system as a function of the source of the scrap metal to be sorted. Throughout the project, conceptual approaches will be combined with experimental validation of innovative automated processes on labscale and at the scale of an industrial pilot.
Description of the vacancy
You are part of a multidisciplinary research group working on the topic of Life Cycle Engineering (LCE) and embedded artificially intelligent vision engineering (EAVISE) under the supervision of Dr. Jef Peeters, Prof. Toon Goedemé, Prof. Wim Dewulf and Prof. Joost Duflou.
You follow-up literature, patents, company releases,conferences, etc. and use the obtained information to determine the state-of-the-art and to identify opportunities for novel contributions to the field.
You are responsiblefor the development and evaluation of innovative gripper designs and grasping algorithmsand contribute to organizing and performing validation experiments.
You contribute to the writing of project proposals and the guiding of Master students with their thesis work.
You report to your supervisors and to industrial partners during project meetings and at international conferences.
We offer you theopportunity to publish in international scientific journals and to work towardswriting a PhD dissertation.
You hold a Master’s in Science, Engineering, or equivalent degree which you obtained with a high GPA (a cum laude level is a prerequisite).
You like to work in a multidisciplinary team of international researchers and show willingness to learn/explore innovative technologies and techniques.
You have a creative mindset, take initiative, and are not afraid to address innovative ideas and new opportunities.
You are fluent in English or willing to improve your language skills.
We offer a varied and challenging job in close cooperation with industry combined with an attractive salary package.
We offer a research position in a stimulating and multi-disciplinary environment and a strong industrial network.
We provide the opportunity to work towards obtaining a PhD degree within an international network.
For more information please contact Mr. Jef Peeters, tel.: +32 16 32 25 69, mail: firstname.lastname@example.org
You can apply for this job no later than September 01, 2019 via the online application tool
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|Intitulé||Research Position on Artificial Intelligence Techniques for Enhanced Sorting and Recycling|
|Job location||Oude Markt 13, 3000 Leuven|
|Publié||juillet 18, 2019|
|Date limite d'inscription||septembre 1, 2019|
|Types d'emploi||Chercheur  |
|Domaines de recherche :||Intelligence artificielle,   Économie des ressources,   Génie physique,   Ingénierie environnementale,   Robotique,   Génie mécanique,   L'ingénierie numérique,   Apprentissage automatique,   Vision par ordinateur,   |