Master thesis-AI-Driven Project Risk Prediction & Optimization using Historical "LL" Data (m/f/d)
Master thesis-AI-Driven Project Risk Prediction & Optimization using Historical "LL" Data (m/f/d)
Master thesis-AI-Driven Project Risk Prediction & Optimization using Historical "LL" Data (m/f/d)
Master thesis-AI-Driven Project Risk Prediction & Optimization using Historical "LL" Data (m/f/d)
OSRAM GmbH
Elektrotechnik
Premstätten bei Vasoldsberg
- Art der Beschäftigung: Vollzeit
- Vor Ort
- Aktiv auf der Suche
Master thesis-AI-Driven Project Risk Prediction & Optimization using Historical "LL" Data (m/f/d)
Über diesen Job
Premstätten, Styria, Austria – ams-OSRAM AG
Your tasks
- Topic: AI-Driven Project Risk Prediction & Process Optimization using Historical "Lessons Learned” Data. In R&D Excellence, you will develop a data-driven approach to predict project risks and delays and uncover process improvement opportunities by leveraging historical project information and Lessons Learned data. The thesis aims to transform underused, unstructured Lessons Learned knowledge into structured, explainable insights that support governance and decision-making.
- Automate project status tracking using historical project and review data
- Convert LL repositories into structured, predictive intelligence
- Build explainable ML models to predict risk and delay probability
- AI-based Status & Risk Prediction Engine
- Lessons Learned Analytics Module (themes, clusters, insights)
- Visualization dashboard with risk themes & improvement recommendations
Who we are looking for
• Enrolled Master’s student in Data Science, Computer Science, AI/ML, Industrial Engineering, or similar
• Structured, analytical mindset; motivation to translate data into actionable insights
• Understanding of project management principles
• Solid coding skills in Python (data handling, ML basics)
• Interest or experience in NLP/text mining (nice to have)
• Skilled in Microsoft Office (especially PowerPoint and Excel); familiarity with SharePoint, Jira/Confluence, Power BI, or AI-enabled productivity tools is a plus
• Excellent English skills (German is a plus, depending on data sources and stakeholders)Strong interest in business process management, digitalization, and IT tools
• Strong interpersonal skills and a solution-oriented approach
We offer competitive salaries and additional benefits based on your performance, experience, and qualifications. Employment is in accordance with the collective agreement for the electrical and electronics industry, employment group E (https://www.feei.at/aktuelles/mindestloehne-und-gehaelter-eei/).
ams OSRAM is an Equal Employment Opportunity Employer. Diversity, equity and inclusion is strongly established in our corporate culture and we firmly believe it makes us more successful as a company. All qualified applications will receive consideration for employment regardless of ethnic, national or social origin, gender, gender identity, sexual orientation, color, religion, age, physical and mental abilities.
Phone:+43 3136 500 32853
E-Mail:marlies.nigitz@ams-osram.com
