Research Associate (m/f/d) – Multivariate Analysis & Data Science
Research Associate (m/f/d) – Multivariate Analysis & Data Science
Research Associate (m/f/d) – Multivariate Analysis & Data Science
Research Associate (m/f/d) – Multivariate Analysis & Data Science
Institut für Angewandte Photonik e. V.
Sonstige Branchen
Berlin
- Art der Beschäftigung: Vollzeit
- 60.500 € – 88.000 € (von XING geschätzt)
- Vor Ort
- Zu den Ersten gehören
Research Associate (m/f/d) – Multivariate Analysis & Data Science
Über diesen Job
Research Associate (m/f/d) – Multivariate Analysis & Data Science
Firmenname
Institut für Angewandte Photonik e. V. (IAP)
Rudower Chaussee 29/31
Arbeitsort
Tel.
E-Mail:
seifert@iap-adlershof.de
Your Responsibilities
- Develop and apply multivariate data analysis (MVA) and machine learning methods
- Perform statistical analyses and provide robust interpretation of results
- Analyze, visualize, and interpret complex scientific datasets
- Design and optimize data pipelines and analytical workflows
- Contribute to the development of innovative, data-driven solutions
Your Profile
- Degree in Physics, Chemistry, Mathematics, Computer Science , or a related field
- Strong expertise in multivariate analysis (MVA) (mandatory)
- Experience in statistical modeling and scientific data analysis
- Excellent programming skills in Python, MATLAB, R, or similar
- Analytical mindset with a structured and independent working style
Nice to Have
- Knowledge of C/C++ (e.g., for high-performance or scientific computing)
- Experience with large or complex datasets
- Familiarity with research data management
- Basic knowledge of physical chemistry
What We Offer
- Work on cutting-edge scientific and analytical projects
- Access to modern tools in data science and machine learning
- An interdisciplinary and collaborative research environment
- Freedom to develop your own methods, models, and innovations
Keywords for Visibility (StepStone SEO)
Data Science · Multivariate Analysis · Machine Learning · Python · Statistical Modeling · Scientific Computing · Data Analysis · R&D