Pubblicato su stage4eu il: 09/05/2024 Lonza, Process Analytical Technology (PAT) and Data Science Internship

Lonza
Rottenstrasse 6, Visp, Svizzera
Chimica/Farmaceutica, Statistica/Data Analysis
6 mesi 
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Attività:
  • Collaborate with the PAT team to apply spectroscopic methods for on-line/in-line/at-line analysis, monitoring and optimization of chemical processes.
  • Utilize data science techniques to analyze and interpret spectroscopic data, integrating findings with process data for comprehensive insights.
  • Develop and implement algorithms and models for process prediction and optimization.
  • Participate in the design and execution of experiments to test models and algorithms performance, ensuring their applicability in industrial settings.
  • Engage in cross-functional projects, contributing to the development and optimization of PAT applications for enhanced process understanding.
  • Be a proactive team player with a high degree of dedication and the ability to inspire and contribute to a positive working environment.
Requisiti principali:
  • Demonstrate enthusiasm for laboratory work, spectroscopy, chemometrics, and data analysis.
  • Currently pursuing or recently completed a degree in Chemistry, Chemical Engineering, Data Science, or a related field, with a strong interest in PAT and data analytics.
  • Demonstrated experience or strong interest in spectroscopic techniques and their application in chemical processes. Interest and aptitude for learning and applying PAT techniques such as Raman, NIR, Mid-IR, UV-VIS spectroscopy, and other measurement techniques suitable for on-line/in-line/at-line measurements.
  • Familiarity with data analysis, chemometrics, and their application in process optimization. Coding skills with Python, Matlab, or equivalent platforms, with a keen interest in applying these skills would be consider as a plus.
  • Ability to thrive in a fast-paced environment and manage multiple tasks simultaneously.
  • Excellent analytical and problem-solving abilities, with a keen attention to detail.
  • Strong communication skills, capable of working effectively in a team and presenting findings to technical audience. Professional proficiency in English is required; knowledge of German is beneficial.
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