Job
- Level
- Junior
- Job Field
- Data, Project
- Employment Type
- Part Time/Full Time
- Contract Type
- Internship / school internship
- Location
- Premstätten
- Working Model
- Onsite
Job Summary
In this role, you will develop AI-driven models for risk prediction and process optimization by analyzing historical data, structuring unstructured information, and creating a visualization dashboard for insights.
Job Technologies
Your role in the team
- The CSA division supplies sensors that bridge the gap between the world we live in and the digital world of machines.
- By converting physical signals - heartbeats, sounds, light waves - into data, we enable robots, cars and other devices to interact with people and improve our world.
- What drives CSA is a relentless desire to contribute to technology and have a meaningful impact on the world.
- This business thrives on solving complex problems and partnering with global leaders at the forefront of technological advancement.
- Our goal: to push the boundaries of sensor technology and empower innovators to make the world smarter, healthier and happier.
- 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.
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Our expectations of you
Qualifications
- 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).
- 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.
Experience
- Interest or experience in NLP/text mining (nice to have).
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Benefits
Work-Life-Integration
Health, Fitness & Fun
More net
Food & Drink
Job Locations
Topics that you deal with on the job
This is your employer
ams AG
We take sensing to the next level by providing a seamless interface between humans and technology. We enable our customers to create highly differentiated products that are smarter, safer, easier to use and more eco-friendly.
Description
- Language
- English
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Electronics, Automatization, Trade, Internet, IT, Telecommunication
Master Thesis AI-Driven Project Risk Prediction & Optimization
- Location
- Premstätten
- Working Model
- Onsite
- Diversity
- Open for all genders
