Mandatory Internship – Product Development Engineer (m/f/d)
Overview
The employer ecopals is offering a mandatory internship position for a Product Development Engineer in Berlin, Germany. The role operates within the research and development team, focusing on identifying, assessing, and developing new products, formulations, and production routes for asphalt and bitumen modification. Interns engage with materials science, engineering, data analysis, and modern AI-assisted technical workflows to support the company's technology platform.
Who can apply
Candidates must be currently completing a Master degree or a comparable advanced university programme in Chemistry, Chemical Engineering, Materials Science, Materials Engineering, Process Engineering, Environmental Engineering, Civil Engineering, or a related field. Applicants are required to have at least two years of relevant experience in one or more of the described activities, gained through internships, research projects, student assistant roles, laboratory work, industrial projects, or professional experience. Strong written and verbal communication skills in English are necessary, while knowledge of German is considered a plus.
What you get
Participants gain direct involvement in product development and exposure to the full development process, ranging from scientific principles and formulation concepts to processes, testing, and economic assessment. The position provides practical experimental experience, hands-on work with technical data and analytical tools, and practical experience with AI-assisted research and development workflows. Interns work in proximity to decision-making alongside leadership, take on early responsibility for defined technical work packages, and experience a steep learning curve across applied research and development.
Requirements
Applicants must possess good foundations in chemistry, materials science, construction materials, or industrial processes, along with strong analytical skills and confidence in working with quantitative technical and experimental data. Programming and data-analysis skills, preferably with Python or comparable tools, are needed, alongside the willingness to adopt AI-assisted workflows rigorously. The role requires the ability to work systematically with scientific literature, balance fundamental scientific questions with practical engineering constraints, and maintain a structured, independent work approach. A mandatory confirmation from the academic institution stating the requirement to complete an internship must be provided prior to the start.