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Master Thesis AI-Driven Project Risk Prediction & Optimization

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Job

  • Level
    Junior
  • Job Feld
    Data, Project
  • Anstellung
    Teilzeit / Vollzeit
  • Vertragsart
    Praktikum / Schulpraktikum
  • Ort
    Premstätten
  • Arbeitsmodell
    Onsite
  • Job Zusammenfassung

    In diesem Projekt entwickelst du KI-gestützte Modelle zur Risikovorhersage und Prozessoptimierung, indem du historische Daten analysierst, unstrukturierte Informationen strukturierst und ein Dashboard zur Visualisierung erstellst.

    Job Technologien

    Deine Rolle im 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.

    Unsere Erwartungen an dich

    Qualifikationen

    • 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.

    Erfahrung

    • Interest or experience in NLP/text mining (nice to have).

    Benefits

    Work-Life-Integration

    Gesundheit, Fitness & Fun

    Mehr Netto

    Essen & Trinken

    Job Standorte

    Map of company locations
    • Standort Premstätten

      8141 Steiermark

      Österreich

    Themen mit denen du dich im Job beschäftigst

    Das ist dein Arbeitgeber

    ams AG

    ams AG

    Unsere Sensorsolutions nehmen das Messen auf eine neue Ebene, indem sie eine fließende Schnittstelle zwischen Menschen und Technologie schaffen. Wir ermöglichen unseren Kunden Produkte mit hocheinzigartigen Eigenschaften zu erschaffen – Produkte, die smarter, sicherer, leichter bedienbar und ökologischer sind.

    Description

  • Sprachen
    Englisch
  • Unternehmenstyp
    Etablierte Firma
  • Arbeitsmodell
    Hybrid, Onsite
  • Branche
    Elektronik, Automatisation, Handel, Internet, IT, Telekom
  • Logo ams AG

    Master Thesis AI-Driven Project Risk Prediction & Optimization

    Ort
    Premstätten
    Arbeitsmodell
    Onsite
    Diversität
    Für alle Personen geeignet (m/w/d)

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