PhD.: Multi-agent Planning System F/M
PhD.: Multi-agent Planning System F/M
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Job Description
We help the world run better
At SAP we enable you to bring out your best. Our company culture is focused on collaboration and a shared passion to help the world run better. How We focus every day on building the foundation for tomorrow and creating a workplace that embraces differences values flexibility and is aligned to our purpose-driven and future-focused work. We offer a highly collaborative caring team environment with a strong focus on learning and development recognition for your individual contributions and a variety of benefit options for you to choose from.
What youll do
The mission of the Predictive team is to provide users of the SAP Analytics Cloud solution the ability to utilize predictive modeling and simulation to enhance their decision-making processes and improve their business operations. We achieve this by using machine learning algorithms to produce models for Classification Regression and Time Series.
Through a CIFRE thesis in collaboration with the LIPADE laboratory at Paris Cit University we aim to study the contribution of multi-agent systems in enterprise planning: xP&A.
To understand how to assist the planner we will imagine an extreme situation: replacing them with a group of AI agents that collaborate to achieve the same objectives. This requires examining the tasks carried out by planners from start to finish to assimilate information sources develop scenarios while considering trends sustainable development constraints and collaborate with other experts (agents) or stakeholders to validate assumptions. It also requires a good understanding of enterprise architecture data analysis including variance analysis and seasonality. Another aspect to consider is risk management in the company identifying causes mitigation plans and risky situations.
Even though in reality the fundamental ethical principle remains Human in the loop and the use case must comply with the EU AI Act we will push this reasoning to identify safeguards in such an architecture.
The study subject involves considering the contribution of multi-agent systems coupled with knowledge modeling (knowledge or causal graphs) specifically:
- Participate in defining the necessary agent-based architecture.
- Determine the information flows needed for decision-making.
- Evaluate these decisions in relation to the companys strategy and existing mitigation plans.
You will share your work time between the university laboratory and our R&D team in Levallois-Perret where you will work under the supervision of our scientific director.
- Conduct a bibliographic state of the art on the techniques used.
- Study and propose innovative solutions.
- Internally present the proposed solutions.
- Prototype the solutions and validate them on synthetic or real data.
- Publish your research in collaboration with the laboratory.
What you bring
- Graduated with a Masters degree or equivalent allowing you to enroll in a doctoral thesis you have strong skills in Machine Learning Deep Learning NLP knowledge graphs descriptive logic semantic networks and causal graphs.
- Your solid mathematical background enables you to deeply understand these algorithms.
- You are proficient in Python and have a good understanding of Prompt Engineering LLM agents RAG and knowledge graphs. Knowledge in the theory of Causality would be a plus.
- Highly autonomous you are capable and accustomed to publishing and presenting your work.
- Fluent in English (B2/C1 at least required)
Meet your team
Our team of engineers and data scientists ensures the development and refinement of models integrated into SAP applications meeting the needs of the users of these applications
Duration: 36 months
Start Date: Late 2025/early 2026
Remunaration according to the conditions fixed by the French Minister of Higher Education and Research
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 SAPyou can bring out your best.
We win with inclusion
SAPs 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 and more equitable world.
SAP is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to the values of Equal Employment Opportunity and provide 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:
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.
EOE AA M/F/Vet/Disability:
Qualified applicants will receive consideration for employment without regard to their age race religion national origin ethnicity age gender (including pregnancy childbirth et al) sexual orientation gender identity or expression protected veteran status or disability.
Successful candidates might be required to undergo a background verification with an external vendor.
Requisition ID: 431301 Work Area: Software-Design and Development Expected Travel: 0 - 10% Career Status: Student Employment Type: Limited Full Time Additional Locations: #LI-Hybrid.
Required Experience:
Unclear Seniority
Employment Type
Full-Time
