Master thesis-AI-Driven Project Risk Prediction & Optimization using Historical "LL" Data (m/f/d)
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 ).
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.
Contact
Marlies Nigitz will be happy to answer any questions you may have.
Phone:
E-Mail:
LinkedIn
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Job details
Posting date:
2025/12/17
Experience level:
Student
Type of contract:
Bachelor/Master Thesis
Employment type:
Part-time
Work Model:
On site
Business unit:
CMOS Sensors & ASICs
Organization:
ams-OSRAM AG
Job field:
Administration & Services
Job ID:
22190
What we offer
Training offers
Training opportunities & structured onboarding and development planning
Home office
Home office option
Part-time
Openness to part-time work (also during parental leave)
Health
Health and prevention program
Sports programs
Various sports programs
Continued payment of remuneration
Continued payment of remuneration in the event of illness
Company doctor
Company doctor