Academic Internship in Industrial Engineering and Management (f/m/div.)

Descrizione del lavoro:

Job Description

Your contribution to something big:
- As part of your Master's thesis, you will develop and implement innovative approaches to enqance the usage of production process data through the increased use of Digital Twin and Artificial Intelligence (AI);

Your main responsibilities will include:
-Assessing and diagnosing the current situation and existing leadership routines;
-Evaluating current practices and identifying opportunities for improvement through digitalization and AI;
-Developing new methods, processes, and standards;
-Implementing, validating, and stabilizing the new solutions and standards;
-Evaluating the impact of the proposed solutions on Value Stream workflows, operational efficiency, and associated financial benefits.
- This project offers the opportunity to combine Artificial Intelligence, digitalization, continuous improvement, and leadership processes in a real manufacturing environment

Requisiti del candidato:

Qualifications

What distinguishes you:
- Currently enrolled in a Master's degree in Industrial Engineering, Mechanical Engineering, Production/Manufacturing Engineering, Data Science, Digital Transformation, Business Engineering, or a comparable field;
- Strong interest in Artificial Intelligence, digitalization, process improvement, and operational excellence.
Basic understanding of manufacturing processes, Lean Management, continuous improvement, or Value Stream concepts;
- Good analytical and problem-solving skills, with the ability to structure complex problems and translate them into practical solutions;
- Interest in applying digital and AI technologies to improve leadership routines, decision-making, and operational efficiency;
- Ability to work independently while collaborating closely with leadership, engineering, and operational teams.
Good communication and presentation skills;
- Fluent written and spoken English