Master Thesis Student (f/m/d) - Supply Chain Management Data Science on Agentic AI

 

We help the world run better
At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging – but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed. 

 

What you'll build

As a master thesis student (f/m/d) in the Supply Chain Management (SCM) Data Science team, you will work on autonomous generation of multi-agent systems for Supply Chain planning.
Modern supply chain are large and incredibly complex interconnected networks that rely on planning runs to optimize operations, and understanding the results of such planning run can be quite challenging. The ability to provide intelligent diagnostic support would transform raw planning computations into actionable insights for planners.
Autonomous multi-agent systems (MAS) that dynamically generate agentic workflows, assign specialized roles to agents, facilitate collaborative work, and continuously improve their processes represent the cutting edge of agentic system research. However, while autonomous MAS show promise for complex analytical tasks, their effectiveness in enterprise supply chain environments remains largely unexplored.

Evaluate the viability of autonomous multi-agent systems for enterprise supply chain analysis by addressing two critical gaps:

• Benchmark Development: Create a comprehensive, curated dataset of progressively complex supply chain analysis scenarios that require multi-step SQL queries and sophisticated SAP schema navigation. If suitable, the benchmark dataset can be based on existing open-source datasets.
• System Validation: Assess autonomous agentic systems’ capability to provide intelligent, accurate assistance for supply chain planning queries while abstracting away technical complexity from end users.

 

What you bring

 

• Student (f/m/d) at a university or a university of applied sciences
• Preferred fields of study: Computer Science, Data Science, Statistics, Information Systems, Physics, or Mathematics
• Very strong programming skills
• Experience with ML concepts, AI frameworks and tools is highly desired.
• Language skills: Fluent in English and German
• Soft skills: Interest in applied research and practical application of innovative technologies, team player, creative, strong communicator.

Where you belong

 

Within SAP Labs Munich, the Industry-University Collaboration Hub team focuses on applied research, knowledge exchange, and co-innovation with universities to create positive economic and social impact.

Your set of application documents should contain a cover letter, a resume in table form, school leaving certificates, certificate of enrollment, current university transcript of records, copies of any academic degrees already earned, and if available, references from former employers (including internships). Please also describe your experience and skills in foreign languages and computer programs / programming languages.

This is a SAP global, strategic, paid working student position that provides students with opportunities to find purpose in their careers.

#Workingstudent #Werkstudent #Germany #Deutschland #Student #LIHybrid #SAPGermanStudentsCareers #SAPNextGen

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Bring out your best
SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, you can bring out your best.  

We win with inclusion
SAP’s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone – regardless of background – feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better world.

SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team: Careers@sap.com.

For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program, according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training.

AI Usage in the Recruitment Process

For information on the responsible use of AI in our recruitment process, please refer to our Guidelines for Ethical Usage of AI in the Recruiting Process.

Please note that any violation of these guidelines may result in disqualification from the hiring process.

Requisition ID: 446810  | Work Area: Software-Research  | Expected Travel: 0 - 10%  | Career Status: Student  | Employment Type: Limited Full Time   | Additional Locations:  #LI-Hybrid

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