2 PostDoc Positions

^{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 offering}

2 PostDoc Positions

in the Field of 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 thenbe 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:
• Image classification, including self-supervised learning
• Segmentation
• Object detection
• Explainable Artificial Intelligence
 Publication of scientific results in internationally renowned journals and their presentation at national and international top-tier conferences and workshops
 Support researchers to integrate AI techniques into real world applications
 Supervision of Bachelor, Master and PhD students
 Communication and transfer of project results to project partners
 Participation in the preparation of funding applications
 Acquisition and management of own research projects

Your qualifications
 Completed doctorate in the field of sciences or engineering or in a comparable subject
 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 and at least one of the following areas:
• Segmentation and object detection
• Explainable Artificial Intelligence
• Recurrent neural networks and sequence data analysis
 Sound programming skills (especially in Python) and excellent experience with ML and linear algebra libraries (PyTorch, Tensorflow, NumPy, sklearn, etc.)
 Experience in using version control tools, e.g. B. Git
 Experience with Unix-based systems, e.g. Linux
 Excellent written and spoken English skills
 Experience in supervising scientists and students is an advantage
 Experience in project coordination is an advantage
 Experience in preparing grant proposals 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 socially highly relevant fields of application
 The opportunity to make valuable contributions to cutting-edge AI research
 The opportunity to publish your papers in conferences and journals
 A highly motivated, international team
 Independent project work
 Supervision of theses
 Supervision of bachelor, master and PhD students
 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 TU Kaiserslautern, the research group UMI lab and many others
 Flexible working hours and excellent equipment
 Cooperation with experienced scientists
 Family-friendly working conditions that promote the compatibility of work and family
 Participation on the VBB company ticket
 Company-owned electric bicycles and vehicles for business trips
 Our institute is located on the edge of a picturesque park-like landscape and is easy to reach by public transport or by bike

The salary depends on your qualifications and professional experience according to TV-L 14. The position is full-time (100 %) for 5 years. Part-time is possible.
For further information please contact Frau Prof. Dr. Marina Höhne (E-Mail: mhoehne@atb-potsdam.de) and visit our website www.atb-potsdam.de.
We are looking forward to receive your application including a cover letter, CV, track record, and a recommendation letter or reference contacts by the following deadline March 12th, 2023 using ATB’s online application form for the job advertisement, code 2023-DS-3, 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 https://www.atb-potsdam.de/en/services/data-protection-declaration-for-t....