Scientist for doctorate (m/f/d) (100%) Focus on Artificial IntelligenceLeibniz-Institut für Agrartechnik und Bioökonomie e.V. (ATB) • Verwaltung • Potsdam

Germany Universities
February 15, 2023
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Open Positions 1

Time Span as soon as possible for 4 years Application Deadline 15 Feb 2023 Financing yes Type of Position

  • PhD - Individual Supervisor
  • Field of Research

  • Language and Cultural Studies
  • Mathematics / Natural Sciences
  • Engineering
  • Veterinary Medicine/Agriculture, Forestry, and Nutritional Sciences
  • Subjects computer science, physics, engineering or mathematics (or similar) Description The Leibniz Institute for Agricultural Engineering and Bioeconomy is a pioneer and a driver of bioeconomy research. We create the scientific foundation to transform agricultural, food, industrial and energy systems into a comprehensive bio-based circular economy. We develop and integrate techniques, processes and management strategies, effectively converging technologies to intelligently crosslink highly diverse bioeconomic production systems and to control them in a knowledge-based, adaptive and largely automated manner. We conduct research in dialogue with society - knowledge-motivated and application-inspired.

    To strengthen the Department Data Science in Bioeconomy, we are looking for a

    Scientist for doctorate (m/f/d) (100%) Focus on Artificial Intelligence

    Together we are researching methods of artificial intelligence to address some of the most pressing societal problems of our time. We deal with global challenges such as food security, protection of biodiversity, disease detection, environmental and climate protection. For this we need experts who can learn complex relationships based on a wide variety of data types with the help of machine learning methods, which can then be presented in an understandable way for humans with the help of explainable artificial intelligence in order to be able to potentially generate new knowledge. You will work directly with experts from various research areas of the ATB and with top researchers for explainable AI from the research group UMI (Understandable Machine Intelligence) lab.

    Your responsibilities

    - Development of novel methods of artificial intelligence - Scientific processing of projects, especially with a focus on: o Image classification, including self-supervised learning o Segmentation o Object detection o Explainable Artificial Intelligence - Communication and transfer of the project results to the project partners - Presentation of project results at conferences and workshops - Creation of project reports and scientific publications

    Your qualifications - Successfully completed university degree (master, diploma or equivalent) in computer science, physics, engineering or mathematics (or similar) - Profound knowledge in the field of machine learning, in particular deep neural networks - Practical experience in the development and application of machine learning algorithms - Excellent knowledge of computer vision, especially segmentation and object recognition - Knowledge in the field of explainable artificial intelligence is an advantage - Sound programming skills (especially in Python), experience with ML and linear algebra libraries (PyTorch, Tensorflow, NumPy, sklearn, etc.) - Experience in using versioning tools, e.g. Git - Experience with Unix-based systems, e.g. Linux - Excellent written and spoken English skills - Experience in scientific work is an advantage - Flexibility, creativity, willingness to cooperate and excellent communication skills - High sense of responsibility, reliability, personal commitment and goal- oriented and independent work

    We offer - Exciting research tasks in the field of machine learning with highly socially relevant fields of application - The opportunity to make valuable contributions to cutting-edge AI research - The opportunity to publish your papers in conference and journal publications - The possibility of a doctorate (PhD) - A highly motivated, international team - Flexible working hours and excellent equipment - Supervision by experienced scientists - Family-friendly working conditions that promote the compatibility of work and family life - Close cooperation with the Berlin Institute for the Foundations of Learning and Data (BIFOLD), the research group Machine Learning of the HHI and the Department of Computer Science of the TU Kaiserslautern, the research group UMI lab and many others - Supplementary company pension via the VBL - Participation on the VBB company ticket - Company-owned electric bicycles and vehicles for business trips

    The salary depends on your qualifications and professional experience according to TV-L 13. The position is full-time (100%) for 4 years.

    For further information, please contact Prof. Dr. Marina Höhne (E-Mail mhoehne@atb-potsdam.de) and visit our website www. atb-potsdam.de.

    If you would like to contribute your professional competence to our interdisciplinary research, please apply by the following deadline February 15th, 2023 using ATB's online application form for the job advertisement, code 2023-DS-2, at https: // www. atb-potsdam.de/en/career/vacancies. Applications received after the application deadline cannot be considered.

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

    By submitting an application, you agree that your job application documents will be stored for a period of six months, even in the case of an unsuccessful application. Further information on the processing, storage and protection of your personal data can be found at https: // www. atb- potsdam.de/en/services/data-protection-declaration-for-the-application-process .

    Published on January 04th, 2023

    Working Language

  • English
  • German
  • Language of Dissertation

  • English
  • German
  • Required Documents

  • CV
  • Reports, certificates
  • Letter of Motivation
  • More Information https: // bewerber3-atb.comramo.de/bewerber- web/?xsrf=&company=-FIRMA- ID&tenant=1022LOAI#position,id=db7b3258-bbee-445c-b1f3-dac6f64d500e,popup=y

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