MSc Thesis Project – Improvements in Sampling for product qualification using binary data(m/w/x)

Beschreibung

In this role, you will dive into innovative sampling techniques and statistical methods, analyzing data and simulations to enhance product qualification processes. Your insights will help shape impactful improvements within the organization.

Anforderungen

• •Completed bachelor's degree with strong academic results in statistics or equivalent background in a related field
• •Ability to apply statistical engineering methodologies to define problems, develop experimental plans, model data, extract insights, and scale successful models
• •Availability for a duration of at least 6 months
• •Effectiveness in working with diverse groups by embracing creativity, innovation, and initiative
• •Skill in making complex decisions using available data and gut feeling
• •Strong communication and collaboration skills to explain statistical concepts to non-experts and maintain relationships
• •Proficiency in speaking and writing English
• •Awareness of coding skills in Python, R, and/or SAS, ability to connect to cloud databases and write queries, foundations of machine learning/AI, JMP software, GitHub, SQL and/or Databricks
• •Short work experience, internships, and studies abroad considered a plus

Aufgaben

• •Explore and develop alternative sampling techniques
• •Evaluate qualification protocols and compare with state-of-the-art methods
• •Analyze historical data from qualification events
• •Account for factors influencing total probabilities
• •Perform simulations to estimate defect rates
• •Initiate a database for historical trend analyses
• •Evaluate applications of machine learning approaches
• •Integrate learning experiences to advocate for improvements

Tools & Technologien

Benefits