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A leading global technology company in Berlin is seeking a thesis student for a project focused on autonomous process execution using AI and BPMN. The position requires proficiency in Python and a solid understanding of BPM. This is a full-time, paid position offering a chance to work on cutting-edge research. Join a collaborative team dedicated to innovation and career growth.
SAP Signavio Thesis Student (f/m/d) - Enabling Autonomous Process Execution with AI Agents and BPMN
We help the world run better. At SAP, we enable you to bring out your best. Our culture focuses on collaboration, learning and development, and a purpose-driven, future-focused work environment. This is a SAP global, strategic, paid working student position that provides students with opportunities to find purpose in their careers.
The dream of directly executable BPMN models has been challenged by complex, non-process-aware IT systems and changing business requirements. The rise of Intelligent Agents and Large Language Models offers a new paradigm where an agent can understand a BPMN model and autonomously navigate systems to complete processes. This thesis will identify the contextual information an AI agent needs beyond the visual model to succeed.
The central goal is to identify and define the contextual requirements an AI agent needs to autonomously execute business processes described in BPMN.
You will be responsible for:
Join the Signavio Blue Sky Research Team, a community of working students, thesis candidates, and visiting scholars. Be part of turning bold ideas into manageable realities by de-risking innovation.
Your set of application documents should include a cover letter, a resume in table form, school leaving certificates, certificate of enrollment, current university transcript, copies of any degrees earned, and, if available, references from former employers. Please describe your experience and skills in foreign languages and computer programs / programming languages.
Location: Berlin, DE 10557 • Requisition ID: 419324 • Employment Type: Limited Full Time • Expected Travel: 0 - 10%
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