Wissenschaftliche/r Mitarbeiter/in

Job posting   The Leibniz Institute for Agricultural Engineering and Bioeconomy (ATB) is a pioneer and a driver of bioeconomy research. We create the scientific foundation to transform agricultural, food, industrial and energy systems into a sustainable 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, policymakers, industry and other stakeholders - knowledge-driven and application-inspired.   To strengthen the Department Data Science in Bioeconomy, we are looking for a   Student Research Assistant (m/f/d) (40-80h per month)

Focus on Uncertainty-Guided Explainable Artificial Intelligence   We are looking for a motivated and skilled student to join our research team as a Student Research Assistant in the field of Explainable and Reliable Artificial Intelligence in Bioeconomy. The position involves working with our researchers to develop uncertainty-aware explainability pipelines for AI-based object detection models. The project integrates uncertainty estimation with adaptive XAI control to improve trustworthiness and human interpretability of AI systems.   Your tasks

• Collaborate with researchers to design and implement explainable AI algorithms
• Integrate uncertainty estimation into detection pipelines
• Combine XAI methods with adaptive control based on model confidence
• Support experimental setup, data annotation, data analysis, and validation with human-in-the-loop feedback
• Write, test, and maintain research code; prepare reports and documentation.

Your qualifications

• You are currently enrolled as a student (MSc, or advanced BSc) in computer science, data science, physics, engineering or mathematics (or similar)
• Profound knowledge of machine learning, especially deep neural networks
• Practical experience with Python and frameworks like PyTorch, NumPy, sklearn, etc.
• Basic understanding of AI applications in agriculture (e.g., crop monitoring) is an advantage
• Interest in eXplainable AI, uncertainty estimation, and model interpretability
• Excellent written and spoken English skills
• High sense of responsibility, reliability, and ability to work independently.

We offer

• Exciting research tasks in the field of trustworthy AI with applications in sustainable agriculture
• Opportunity to contribute to scientific publications and open-source frameworks
• Supervision by experienced scientists
• An attractive, research-intensive, and interdisciplinary working environment
• A highly motivated, international team.
• Excellent infrastructure for scientific work
• Flexible working hours and excellent equipment
• Family-friendly and flexible working hours and excellent equipment
• Company-owned e-bikes and cars for business trips
• A workplace at the edge of a picturesque landscape, easily accessible by bike or public transport.   The position is to be filled with 40 to 80 hours per month and is limited to one year. The salary is depending on your degree (14,59 Euros per hour with Bachelor’s degree, 13,98 Euros per hour without degree).   For further information, please contact** Prof. Dr. Marina Höhne (E-Mail: mhoehne@atb-potsdam) and visit our website at www.atb-potsdam.de.   Please apply online by 7th December 2025** including a strong motivation letter demonstrating your suitability for the advertised student research assistant position, a detailed CV, all certificates with grades (A levels and the current transcript of Bachelor and/or Master courses and grades), and any recommendation letters via our application portal (reference number 2025-DS-3): https://www.atb-potsdam.de/en/career/vacancies. Applications received after the application deadline cannot be considered.   The interviews will take place from December 15, 2025 to December 19, 2025.   We are committed to equal opportunities. Applications from severely disabled candidates will be given preference if equally qualified.   By submitting your application, you agree that your documents may be stored for up to six months even in the case of an unsuccessful application. Further information on data protection can be found here: https://www.atb-potsdam.de/en/data-protection-declaration-for-the-application-process.

Unsere Stellenausschreibungen richten sich stets an alle berufsfähigen Menschen, unabhängig von Alter, Geschlecht, Herkunft, sexueller Orientierung, Behinderung, Religion und Weltanschauung etc. Die Bewerberauswahl erfolgt ausschließlich qualifikationsorientiert. Irrtümer in den Angaben und der Schreibweise vorbehalten.