AI-Driven Project Management Intern; Thesis

Position: AI-Driven Project Management Intern (Thesis)
Thesis Internship Position Smarter Projects:
Exploring AI-Driven Efficiency in Industrial Automation Project Management | YOKOGAWAAt Yokogawa, we’re proud of our heritage—and we’re even more excited about our future. By joining us now, you become part of a company that is redefining what industrial automation looks like.

Purpose-driven innovation – We’re working toward a brighter future through sustainability, digitalization, and smarter industry practices.

True collaboration – We believe in openness and long-term relationships, both internally and with our partners.

Transformation at scale – This role is your opportunity to shape a key pillar of our European growth strategy.

Internship Objective This thesis internship focuses on researching how artificial intelligence (AI) can enhance the effectiveness and efficiency of project management within an industrial automation environment. Our new intern will analyze current project management practices and investigate how AI-driven tools and methods can support project managers, automate routine activities, and improve decision-making. The outcome of the internship is a practical, research-based roadmap for integrating AI into daily project workflows, aligned with Yokogawa’s values of reliability, safety, and long-term value creation.

Research Scope & Activities Study and document existing project management processes, including planning, scheduling, resource allocation, risk control, and reporting.

Identify challenges, bottlenecks, and improvement opportunities within current project execution practices.

Research AI technologies and data-driven approaches relevant to project management in industrial automation.

Analyze where and how AI can support project managers through predictive insights, decision support, and automation of repetitive tasks.

Develop and validate use cases for AI-enabled project management in collaboration with project teams.

Translate research findings into a structured and practical roadmap for AI adoption in daily project workflows.

Document results in a high-quality thesis report and present findings to internal stakeholders.

Learning Objectives Gain hands-on insight into project management within a complex industrial automation environment.

Develop practical experience in applying AI and data analytics to real-world business and engineering challenges.

Strengthen research, analytical, and problem-solving skills in an industrial context.

Learn to balance innovation and research with operational feasibility and organizational standards.

Required Background and skills

Bachelor’s or Master’s student in Engineering, Industrial Automation, Project Management, Data Science, or a related field.

Strong interest in and familiarity with artificial intelligence, digital transformation, and project management.

Analytical mindset with a structured and research-oriented working approach.

Ability to work independently while collaborating with multidisciplinary project teams.

Basic knowledge of project management methodologies and tools.

Interest in industrial automation, control systems, or digital solutions.

Good communication and documentation skills.

Internship Value This thesis internship offers the opportunity to contribute to Yokogawa’s digital transformation journey by combining academic research with practical application. The work supports delivering projects faster, smarter, and with higher quality, while providing the intern with valuable experience at the intersection of AI, project management, and industrial automation.

Not just a job, but a career

Yokogawa, award winner for ‘Best Asset Monitoring Technology’ and ‘Best Digital Twin Technology’ at the HP Awards, is a leading provider of industrial automation, test and measurement, information systems and industrial services in several industries.

Our aim is to shape a better future for our planet through supporting the energy transition, (bio) technology, artificial intelligence, industrial cybersecurity, etc. We are committed to the United Nations sustainable development goals by utilizing our ability to measure and connect.

About the Team Our 18,000 employees work in over 60 countries with one…