Job Description
Master thesis-AI-Driven Project Risk Prediction & Optimization using Historical "LL" Data (m/f/d)
Premstaetten, Austria

Sense the power of light

ams OSRAM is a global leader in innovative light and sensor solutions. “Sense the power of light” – our success is based on our deep understanding of the potential of light. By adding intelligence to light, we enable our customers to drive transformative applications. Our around 20,000 employees worldwide focus on innovation alongside the societal megatrends of digitalization, smart living, energy efficiency, and sustainability. Whatever your role is, you are a part of a talented team that enjoys exploring and designing new technologies.

Your new responsibilities

• 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/).

 


Please contact Marlies Nigitz for further information via marlies.nigitz@ams-osram.com or +43 (3136) 50032853.

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.
Information at a Glance
Job ID:  22190
Posting Start Date:  12/17/25
Job Family:  General Functions
Career Level:  Student
Company:  ams-OSRAM AG
Schedules:  Part Time
Work Model:  On-Site
Job Shift:  Flex time
Employment Type:  Temporary
Department:  CSA R&D Excellence
Local Job Grade: 

Application deadline: As long as the job is listed on our career page, we are looking for suitable candidates. We look forward to receiving your application.