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Scientist/Postdoc (m/f/d)

Leibniz-Institut für Agrartechnik und Bioökonomie (ATB), Potsdam

Stellenangebot vom 06.06.2019

The Leibniz Institute for Agricultural Engineering and Bioeconomy (ATB) as nationally and internationally acting institute is researching at the interface of biological and technical systems.

Our research is aimed at sustainable intensification. We analyze, model and evaluate bio-economic production systems. We develop and integrate new technologies and management strategies for a knowledge-based, site-specific production of biomass, and its use for food, as raw materials and fuels - from basic research to application.

Thus we are contributing to food security, animal welfare, the holistic use of biomass, and to protect the climate and environment.

The overarching research topic for department 4 - Engineering for Crop Production is knowledge based, requirement driven crop production systems: Precision Agriculture. Main goals are the development of sensor systems, automation of data acquisition and working processes.

For the project DAKIS – Digital Agricultural Knowledge and Information System – we are looking for a

Scientist/Postdoc (m/f/d)

in the area of  Agricultural sensors and autonomous platform technologies - UAV, Robotics, Automation, Mechatronic Systems 

DAKIS is a research project funded by the German Federal Ministry of Science and Education (BMBF) in the context of the call “Agricultural Systems of the Future”. DAKIS develops new technologies for a spatially and functionally diversified agriculture. It aims at integrating societal goals like eco-system services (ESS) into the management decisions. The sub-project “Implementation” is responsible for practical field trials. This group is focussing on small area management (patch-planting) and the diverse provision of biodiversity and biogenic products. Innovative cultivation methods are being developed to achieve different production goals within one field, in small plots and specific sectors.

Sensors will be used to record biodiversity parameters relevant to farm management decisions for these new production processes. The work package “Robotics” is aiming to develop the technical principles for data acquisition and process automation. Mobile sensor technologies will be selected and developed, based on the project demands and tested at the research station and test farms. 

Main research questions are: How can the relevant biodiversity indicators be measured, by which sensor technology and analysis methods? How can robots (semi-)autonomously monitor the area under observation and which set of data is required for the task? Which kind of information must a robot extract from (autonomously collected) data, for decision making?

You will work as a principle investigator for the DAKIS subproject, with the according scientific responsibilities.

Your responsibilities

  • Autonomous, mobile data acquisition by terrestrial and air-supported platforms
  • Development of technical concepts for the identification of relevant eco-system service (ESS) indicators, requirement definition in cross-disciplinary work groups.
  • Analyses of camera data (RGB and multi-spectral) on structure- (3D SFM approach) and pattern-recognition (machine learning).
  • Path optimization according to spatial and temporal data resolution requirements.
  • Implementation of the (semi-) automated process control application, robotics
  • Development of automation concepts and functional prototypes for proof of technical concepts for a ESS-, species-, and landscape specific management measures for agroforestry and pasture management
  • Presentation of research result through publications in scientific journals and at conferences
  • Supporting the project  administration (reports, documentation, project meetings, purchasing)

Your qualifications

  • Successfully completed university education (PhD, MSc) in the field of agricultural engineering or related engineering sciences: mechatronics, control engineering/cybernetics, systems development, electronics, computer science, data science (or similar)
  • Knowledge of mechatronics system development and control software programming
  • Experienced in development environment Matlab/Simulink, and programming languages (Python, C, C++) and/or robotic simulation software (V-REP, ROS)
  • Familiar with dynamic analysis and autonomous navigation of mobile platforms (UAV, UTV)
  • Experienced in development of IoT devices, wireless controllers, and communication protocols
  • Experienced in image analysis (ideally 3D SFM, machine learning, wavelet analysis of hyperspectral data or visual servo control) and outdoor experience with optical sensors (cameras, spectroscopy) would be beneficial
  • Scientific track record of published papers in the field of agricultural automation and control
  • Develop an inspiring, long-term vision on research and development within the project content
  • Show interpersonal and teamwork spirit along with motivation and skills to interact with academicians from different professions and professional farmers for creating synergy within the cross-disciplinary research group

Communication and writing skills in English and German language.

We offer you

  • Excellent facilities, processing units, analytical labs and an interdisciplinary team
  • Access to national and international networks to support your scientific exchange
  • Support of your career development by qualifying programs (ATB and partner universities)
  • Family-friendly working conditions that foster the compatibility of work and family life 

The beginning of employment is scheduled for September 2019.

The salary depends on your qualification and professional experience according to E 13 TV-L (75%).

The position is limited until 31.3.2024. Further informations can be obtained from Prof. Dr.-Ing. Cornelia Weltzien (Tel.: +49 331-5699 410, E-Mail: cweltzien(at)atb-potsdam.de) as well as from internet source at www.atb-potsdam.de.

If you would like to contribute your professional competence to our interdisciplinary research, please apply by the following deadline 20.6.2019 quoting the reference number 2019-4-2 by email to karriere(at)atb-potsdam.de (preferably in single pdf-document).

Equality of opportunity is part of our personnel policy. Disabled applicants with adequate qualification will be preferentially considered.

www.atb-potsdam.de

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