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Leibniz-Institut für Agrartechnik und Bioökonomie e.V.
Two Student Research Assistants (40-80h per month) (m­­/­­f­­/­­d) Focus on Artificial Intelligence 26.10.2024 Leibniz-Institut für Agrartechnik und Bioökonomie e.V. Potsdam (DE)
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Two Student Research Assistants (40-80h per month) (m­­/­­f­­/­­d) Focus on Artificial Intelligence

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Leibniz-Institut für Agrartechnik und Bioökonomie e.V.
Potsdam (DE)
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Two Student Research Assistants (40-80h per month) (m/f/d) Focus on Artificial Intelligence
Leibniz-Institut für Agrartechnik und Bioökonomie e.V.
Potsdam (DE)
Aktualität: 26.10.2024

Anzeigeninhalt:

26.10.2024, Leibniz-Institut für Agrartechnik und Bioökonomie e.V.
Potsdam (DE)
Two Student Research Assistants (40-80h per month) (m/f/d) Focus on Artificial Intelligence
Aufgaben:
We are looking for motivated and skilled students to join our research team as a Student Research Assistant in the field of Applied Artificial Intelligence in Bioeconomy. The position involves working with our team of researchers to develop and implement AI solutions 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, as well as environmental and climate protection. You will work directly with experts from various research areas of the ATB and with top researchers in the field of AI and explainable AI (XAI) from the research group UMI (Understandable Machine Intelligence) lab. - Collaborate with researchers to design and develop AI algorithms and models - Write, test, and maintain code for AI solutions that address real-world challenges - Support the experimental design, setup and ensure smooth execution of AI experiments - Assist with data acquisition, collection, cleaning, and analysis - Communicate and transfer research findings to team members and other stakeholders - Attend team meetings and contribute to discussions - Create project reports
Qualifikationen:
- You are currently enrolled as a student in computer science, data 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 programming skills (especially in Python), experience with ML and linear algebra libraries (PyTorch, Tensorflow, NumPy, sklearn, etc.) - Basic understanding of sustainable bioeconomic systems (e.g., food process, agricultural production) is an advantage. - Excellent written and spoken English skills - Flexibility, creativity, collaborative spirit and excellent communication skills - A high sense of responsibility, reliability, personal commitment and goal-oriented and independent work

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