PhD Student : Agentic AI : Knowledge Graphs, LLMs & Autonomous Query Reasoning F/M

Benefits

Parental leave

6 weeks From the posting source checked Jun 20, 2026

Non-birth-parent leave

6 weeks From the posting source checked Jun 20, 2026

Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

Not verified

Relocation assistance

Not verified

Childcare support

Not verified

Learning budget

Not verified

Verification

Source-linked checked May 7, 2026

Salary

Not verified

401(k) match

Reported from DOL Form 5500 industry filing (not employer-specific)

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Market context

U.S. role benchmark (BLS OEWS)

$111,944 U.S. median for this role

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Data From the posting source checked Jun 20, 2026

Seniority

Mid From the posting source checked Jun 20, 2026

Schedule

Shift type

Not verified

Weekend work

Not verified

Application

Cover letter

Not verified

Assessment

Not verified

Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

PhD Student : Agentic AI : Knowledge Graphs, LLMs & Autonomous Query Reasoning F/M Region Europe | Country France | Internal Posting Location Mougins 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 In this role, you'll design and implement a next-generation agentic AI system that integrates Knowledge Graphs (KG), Large Language Models (LLMs), and autonomous agents to power sophisticated SAP service and support capabilities. You'll construct a rich, multi-source knowledge graph - grounded in RDF standards and a formally defined ontology - by ingesting and connecting heterogeneous SAP data: SAP Notes, Help Documentation, System Alerts, Application Components, and SimCat taxonomies, as well as structured product and software lifecycle metadata from the PPMS ontology (ProductLine, Product, ProductVersion, SoftwareComponent, SupportPackage, and related entities). This semantically structured graph forms the backbone of an intelligent support system. Building on the KG, you'll develop LLM-powered agents capable of reasoning over interconnected knowledge and translating complex natural language queries into SPARQL - enabling precise, explainable retrieval over the en

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