The Role
Support an industrial R&D team by analyzing spectroscopic measurement data and developing, calibrating, and validating chemometric models. Responsibilities include statistical modeling and preprocessing in Python or R, interpreting results, recommending actions, and documenting methods and findings. The role involves close collaboration with scientists and engineers and requires hands-on experience with spectroscopic or experimental data.
Summary Generated by Built In
Are you finishing your Master's in a natural science or engineering field and have already worked hands on with spectroscopic or other experimental measurement data? Then this is your chance to apply that knowledge in an industrial R&D setting.
You will join the R&D team of an established Swiss company in the field of optical and analytical instrumentation and support them in building and validating chemometric models on real measurement data.
- Analysis and evaluation of spectroscopic data (Mid-IR, NIR, Raman or comparable)
- Development, calibration and validation of chemometric models
- Statistical modelling and data preprocessing in Python and/or R
- Interpretation of results and derivation of recommendations for the R&D team
- Documentation of methods, models and findings
- Close collaboration with scientists and engineers on site
Requirements
- Master's studies or completed Master's chemical engineering, chemistry, interdisciplinary natural sciences, physics or a comparable field, with a clear focus on experimental data analysis
- Experience in chemometrics and multivariate data analysis (e.g. PCA, PLS)
- Good knowledge of Python and/or R for scientific data evaluation
- Familiarity with spectroscopic data and its preprocessing
- Structured, independent way of working with a strong analytical mindset
- Good command of English, German is an advantage
Benefits
- Start: January 2027
- Workload: 80 to 100% (preference 100%)
- Duration: 4 to 6 months, extension possible
- Location: On-site in Dietikon (Canton Zurich)
- Salary: 40+ CHF / hour (based on experience)
- Employment type: Employee leasing (tasks assigned by client)
Skills Required
- Master's degree in chemical engineering, chemistry, interdisciplinary natural sciences, physics, or a comparable field, or currently completing a Master's degree
- Clear focus on experimental data analysis
- Experience in chemometrics and multivariate data analysis, such as PCA and PLS
- Good knowledge of Python and/or R for scientific data evaluation
- Familiarity with spectroscopic data and its preprocessing
- Structured and independent working style with a strong analytical mindset
- Good command of English
- German language skills
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The Company
What We Do
ETH juniors connects academic talent with industry by organizing and delivering projects for companies ranging from nationally operating small and medium-sized enterprises to international corporations. It provides project-based consulting and recruits students and young professionals for software, IT, energy trading, AI, data engineering, and related assignments, helping organizations access specialized expertise while giving participants practical experience across diverse business and technology needs.
