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Mandatory Internship – Product Development Engineer
ecopals. Research potential development routes for new products, formulations and processes using scientific literature, technical documentation, experimental results and first-principles understanding .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in research and development processes, including experimental design, data analysis, and technical reporting. Proficient in utilizing Python and AI-assisted tools for data management and analysis within the fields of chemistry and materials science.
Highest-signal resume keywords
Python ProgrammingData Analysis SkillsExperimental DesignTechnical ReportingAnalytical Workflow Development
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
ChemistryMaterials ScienceProcess EngineeringQuantitative Data AnalysisExperimental ValidationTechnical Feasibility AssessmentFormulation DevelopmentCost AnalysisRegulatory Requirements ResearchDatabase Management
Soft Skills
Strong Analytical SkillsStructured Working StyleStrong Written Communication SkillsStrong Verbal Communication SkillsEntrepreneurial Mindset
Tools & Technologies
AI-Assisted Development ToolsExperimental Setup ToolsData Visualization ToolsTechnical Documentation Software
Certifications & Qualifications
Master’s Degree in Relevant Field
Industry Keywords
Industrial ProcessesConstruction MaterialsTechnical StandardsExperimental ResultsDevelopment Recommendations
Tech Stack
Tools & technologiesPython
About the role
Key responsibilities & impact- Research potential development routes for new products, formulations and processes using scientific literature, technical documentation, experimental results and first-principles understanding
- Compare materials, technologies, mechanisms and production concepts and identify promising routes
- Prepare assessments and reports covering technical feasibility, process requirements, raw materials, costs and economic viability
- Support experimental programme design, including formulation matrices, variables, testing methods and evaluation criteria
- Prepare material samples for internal testing, external laboratories and customers
- Assist with in-house experimental setups and document and evaluate experimental results
- Coordinate testing activities with internal and external laboratories, suppliers and technical partners
- Process and evaluate experimental data to identify trends, correlations, performance drivers and development priorities
- Build and maintain structured databases for formulations, raw materials, test results, literature and development projects
- Use Python and AI-assisted development tools, including AI agents, to clean, structure, analyse and visualize technical data, automate R&D tasks, support research and build analytical workflows
- Research and analyse technical standards, specifications and regulatory requirements
- Prepare technical reports and decision documents translating scientific, experimental and economic information into development recommendations
- Own defined development questions from initial research through analysis and experimental validation
Requirements
What you’ll need- Currently completing a Master’s degree or comparable advanced university programme in Chemistry, Chemical Engineering, Materials Science, Materials Engineering, Process Engineering, Environmental Engineering, Civil Engineering or a related field
- Good foundations in chemistry, materials science, construction materials and/or industrial processes
- At least two years of relevant experience in one or more of the described activities, gained through internships, research projects, student assistant positions, laboratory work, industrial projects or professional experience
- Strong analytical skills and confidence working with quantitative technical and experimental data
- Programming and data-analysis skills, preferably with Python or comparable tools
- Previous experience with AI-assisted coding or AI agents is valuable but not required
- Ability and willingness to rapidly adopt AI-assisted workflows and use them rigorously, with validation, documentation and control
- Ability to work systematically with scientific literature, experimental results and complex technical information
- Ability to move between fundamental scientific questions and practical engineering and production constraints
- Structured and independent way of working, with a strong sense of ownership
- Strong written and verbal communication skills in English; German is a plus
- Entrepreneurial and pragmatic mindset, with genuine interest in developing technologies that can move from research into industrial application
- Mandatory internship; confirmation from the academic institution stating the internship requirement must be provided before starting
Benefits
Comp & perks- Direct involvement in product development, contributing to technologies that may become future ecopals products
- Exposure to the full development process, from scientific principles and formulation concepts to processes, testing and economic assessment
- Practical experimental experience, supporting material preparation, in-house experiments and laboratory validation activities
- Hands-on experience with technical data and analytical tools, including opportunities to improve how R&D data is structured, analysed and used for decision making
- Practical experience with AI-assisted R&D workflows, including programming, automation and diligent use of AI agents as technical working tools
- Proximity to decision making, working closely with R&D and company leadership on which development routes to pursue
- Responsibility from an early stage, with ownership of defined technical work packages and development questions
- A steep learning curve across materials science, chemistry, industrial processes, data analysis and applied R&D
- Practical exposure to industrial R&D, including collaboration with laboratories, suppliers and technical partners
- Meaningful impact, contributing to technologies designed to reduce emissions, improve circularity and increase the performance of critical infrastructure
- 1 day of annual leave