PhD Student, AI-driven Global Customer Feedback and Decision-making Platforms

Jobtailor; Wolfsburg; Vor Ort; EUR 55.000 - 75.000; Vollzeit

Zusammenfassung

Jobtailor is seeking a research-focused candidate to advance AI methods for analyzing global customer feedback and product data. You will explore multi-agent systems to aid complex product development and decision making, and design AI approaches to identify regional preferences and market-specific requirements.

You will validate AI-generated recommendations with experts across markets and publish results while translating findings into prototype applications and real-world use cases.

Qualifikationen

• University degree qualifying for doctoral studies in Computer Science, Artificial Intelligence, Data Science, Information Systems, Industrial Engineering, or a comparable field of study.
• Knowledge of Machine Learning, Generative AI, Multi-Agent Systems, or related technologies
• Experience in data analytics, statistics, software development, or the design of data-driven systems
• Strong interest in scientific research and the application of advanced AI technologies to real-world challenges
• German and English language level C1
• Strong analytical and conceptual thinking skills
• High degree of initiative and scientific curiosity
• Excellent communication skills and enthusiasm for international and interdisciplinary collaboration
• Confirmation of supervision and confirmed delimitation of topics by a professor of a university or research institution entitled to confer a doctorate

Aufgaben

• Develop and evaluate scientific methods for analyzing and harmonizing global customer feedback and product data
• Research multi-agent systems that support complex product development and decision-making processes
• Design AI-based approaches for identifying regional customer preferences, market-specific requirements, and best practices
• Validate AI-generated recommendations against assessments from domain experts across different markets
• Publish scientific results and transfer research findings into prototype applications and real-world use cases
• Conduct research at the intersection of multi-agent systems, generative AI, natural language processing, and decision intelligence
• Work with experts in artificial intelligence, data analytics, customer research, and product development in an international and interdisciplinary environment

Kenntnisse

Machine Learning

Generative AI

Multi-Agent Systems

Data Analytics

German/English (C1)

Ausbildung

Doctoral studies qualification

Jobbeschreibung

• Develop and evaluate scientific methods for analyzing and harmonizing global customer feedback and product data
• Research multi-agent systems that support complex product development and decision-making processes
• Design AI-based approaches for identifying regional customer preferences, market-specific requirements, and best practices
• Validate AI-generated recommendations against assessments from domain experts across different markets
• Publish scientific results and transfer research findings into prototype applications and real-world use cases
• Conduct research at the intersection of multi-agent systems, generative AI, natural language processing, and decision intelligence
• Work with experts in artificial intelligence, data analytics, customer research, and product development in an international and interdisciplinary environment

Requirements

• Good to very good university degree qualifying for doctoral studies in Computer Science, Artificial Intelligence, Data Science, Information Systems, Industrial Engineering, or a comparable field of study
• Knowledge of Machine Learning, Generative AI, Multi-Agent Systems, or related technologies
• Experience in data analytics, statistics, software development, or the design of data-driven systems
• Strong interest in scientific research and the application of advanced AI technologies to real-world challenges
• German and English language level C1
• Strong analytical and conceptual thinking skills
• High degree of initiative and scientific curiosity
• Excellent communication skills and enthusiasm for international and interdisciplinary collaboration
• Confirmation of supervision and confirmed delimitation of topics by a professor of a university or research institution entitled to confer a doctorate

Core Competencies

Demonstrates expertise in Machine Learning, Generative AI, and Multi-Agent Systems, with a strong focus on applying advanced AI technologies to real-world challenges. Proficient in data analytics and statistical methods, complemented by excellent communication skills for interdisciplinary collaboration.

Highest-signal resume keywords

• Machine Learning
• Generative AI
• Multi-Agent Systems
• Data Analytics
• C1 German and English

Hard Skills

• Data Analytics
• Statistics
• Software Development
• Design of Data-Driven Systems
• Scientific Research
• AI-Based Approaches
• Natural Language Processing
• Decision Intelligence
• Prototype Applications
• Research Methodologies

Soft Skills

• Analytical Thinking
• Conceptual Thinking
• Initiative
• Scientific Curiosity
• Communication Skills

Certifications & Qualifications

• Doctoral Studies Qualification

Industry Keywords

• Customer Feedback Analysis
• Product Data Harmonization
• Market-Specific Requirements
• Interdisciplinary Collaboration
• International Research